Attachment 2 (a) Kingdom of Saudi Arabia The National ... · Kingdom of Saudi Arabia The National Commission for Academic Accreditation & Assessment Program Specifications (PS) Form

Form 4 _ Program Specifications _SSRP_4 JULY 2013 Page

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Attachment 2 (a)

Kingdom of Saudi Arabia

The National Commission for Academic Accreditation & Assessment

Program Specifications

(PS)

Form 4 _ Program Specifications _SSRP_4 JULY 2013 Page 1


National Commission for

Academic Accreditation & Assessment

لسعوديــةعربيــة ااململكــة ال

مـللتقـويـ لوطنيــــةاهليئــــة ا

ـــيــاديــمــــاد األكواالعـــتــم

National Commission for Academic Accreditation & Assessment

Program Specifications

For guidance on the completion of this template, please refer to NCAAA guidebooks.

1. Institution: King Saud University Date of Report: 1436 - 1437

2. College/Department: College of Sciences / Department of Statistics and Operations Research

3. Dean: Prof. Nasser M. Al Daghri

4. Insert program administrative flowchart

Development &

Quality

The Department

Counsel

Steering

Committee

The College Dean

The Executive

Committee

The Main Supervisory

committee

Quality Head

Unit

Postgr

aduat

e

Studie

s and

resear

ch

Com

mittee

Comm

unity

Service

s

Commi

ttee

Safeti

es

and

Securi

ties

Com

mitte

e

Stude

nts'

Acade

mic

Study

Plans

Com

mittee

Alumni

Affairs'

and

Employ

ment

Committ

ee

Labora

tories,

Equip

ments

and Service

s

Commi

E-

Learn

ing

Com

mitte

e

Studen

ts'

Guida

nce

Comm

ittee

Devel

opme

nt

and

Quali

ty

Com

mitte

Evaluati

on and

Acade

mic

Accredi

tation

Commi

ttee








1. The department steering committee:

Members:

Dr.Mansour Charahili(Chairman of the department)

Prof.AbdulhamedAlzaid(Head of higher studies committee)

Prof. Ibrahim Alwasel (Head of students counselling committee)

Dr. Ibrahim Nefissa(Program coordinator, STAT)

Dr.RafikAguech (Program coordinator, OPER)

Dr.SamehAskar (Head of development and quality committee)

Its tasks are:

1. To supervise the implementation of the action - plan of the Program.

2. To select a consultant, through coordination with the Vice - Deanship for Development and

Quality, to help in qualifying the Department for accreditation according to the standards of the

accrediting body.

3. To prepare the mission, the vision and the objectives of the Program.

4. To complete all preparations of the Academic Accreditation in the Department according to the

standards of the National Commission (NCAAA).

5. To follow up and coordinate with the Vice - Deanship for Development and Quality and to

submit reports to it.

6. To prepare the visual display of the Department and the Directory of the Department and the

Program.

2. Development and Quality Committee: (Standards: 3, 9)

Members:

Dr.SamehAskar

Prof.KhalafSultan,

Dr.MazenZain Al-Dien,

Mr. TareqMahrous.

Its tasks are:

1. To develop, administer and follow up the processes of Quality Control in the Department.

2. To follow up and select the benchmarks of the Department Program.

3. To supervise and follow up the schemes for development and future planning in the

Department.

4. To follow up modern trends of teaching means, methodology and techniques.

5. To set training programs in each department for the development of teaching, research and

technical skills.

6. To prepare, distribute and collect questionnaires from Bachelor′s Degree students concerning

the extent of usefulness attained from the Training Program during study years, the extent of

compatibility of the courses with practical life and their suggestions for the maximization of its

usefulness. The Committee is to classify and prepare the results statistically.

3. Assessment and academic accreditation Committee (Standards: 1, 2)

Members:

Prof. Mohamed Kayid,

Dr.Maha Omear,








Mr. Tareq Mahrous.

Its tasks are:

1. Supervision, follow-up, preparation and collection (program specification, program report,

course specification and course report).

2. Overseeing the selection of academic Counsel and follow-up and preparation of self-study

report (SSR).

3. Supervise the preparation of a room inside the department devoted to assessment and academic

accreditation and equipped with full program documentation.

4. Submit a periodic report on the degree of completion of requirements for academic

accreditation.

5. Supervise the preparation of examination forms and answer models of the program courses.

6. Overseeing the availability of access to education and learning for students, in coordination

with the committees concerned in the department.

4. Alumni Affairs and Employment Committee (Standard: 5)

Members:

Dr. Mohamed Algrian,

Dr.HichamAl-Nashwati,

Dr.MamdohMontaser,

Dr.MazenZainAl-Dien,

Mr. SaedAbbas.

Its tasks are:

1. To collect and classify students′ personal data in the Department and means of communicating

with them (Particularly Bachelor′s Degree students).

2. To collect and classify data pertaining to employers and means of communicating with them.

3. To set programs for strengthening the ties between the graduates and employing bodies.

4. To prepare, distribute and collect questionnaires pertaining to the extent of satisfaction of this

group with their study program. The committee is to classify and prepare the results statistically

upon which it offers advice to the Program.

5. To establish an effective mechanism to make available employment opportunities in their fields

of specialization (e.g. Via the convening of employment meetings – Exploration of the

employers′ views on the levels of the graduates from the College - Exploration of the

employers′ views on the important courses for the Program and the Department.

6. To activate means of communication with the graduates (e.g. A Students′ Association of the

Department of…..).

7. To explore the views of the already employed graduates pertaining to their evaluation of the

extent of the usefulness of the relevant program and the contents of the courses they studied

previously.

5. Student Guidance Committee (Standard: 4)

Members:

Prof. Fayez Abo Kalam,

Prof.KhalafSultan,

Dr. Mohamed Algrian,

Its tasks are:

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a. To spread awareness of the importance of the Academic Accreditation of the Department

Program via guidance meetings.

b. To maximize the concept of Academic Guidance and the role of the academic guide in directing

the student towards his future educational planning.

c. To prepare, distribute and collect the necessary questionnaires for the Academic Accreditation

pertaining to the Academic Guidance. The Committee is to analyse the results upon which it offers

advice to the Program.

d. To deepen trust between students and Faculty members.

e. To receive and reply to the students′ suggestions and complaints.

f. To acquaint students with the support services and activities offered by the College and the

University and to follow up the availability of study books and means of learning.

6. Community Service Committee (Standards: 8, 11)

Members:

Dr.HabebAli,

Prof.Awad. Al-Gohary,

Mr. Osama Sharawi.

Its tasks are:

1. To collect and classify the projects executed by the Department and its members and the results

of the contributions of these projects to the community service and the Development plans.

2. To encourage and develop the spirit of entrepreneurship in the students to maximize the return

of the community service role through seminars and leaflets in coordination with the relevant

committees in the Department.

3. To deepen communication between the College and the bodies in charge of the Development

plans in the Kingdom of Saudi Arabia.

4. To set practical programs to enhance the relation between the Department and the local society

and to pursue its implementation.

7. Laboratories, Equipment and Services Committee (Standards: 6, 7)

Members:


Dr. Adnan Barry,

Mr. Saleh Jamili.

Its tasks are:

1. To ensure the availability of all laboratory equipments and students′ services specific to the

Program.

2. To ensure the availability of maintenance plans for the laboratories, equipments and students′

services.

3. To submit a periodic report to the Chairman of the Department at the end of each academic

year to perform the required repairs/modifications.

4. To supervise the availability of Security and Safety Procedures in the laboratories and lecture

halls before teaching starts and to submit its report to the Chairman of the Department.

5. To spread awareness, prepare and distribute guiding publications to the students concerning

Security and Safety Procedures pertaining to different risks (chemical – electrical – radioactive)

at the beginning of the academic year.

6. To put up signs for Security and Safety Procedures along with emergency telephone numbers at








a prominent place in each laboratory and lecture hall.

8. The Higher Studies and Research Committee: (Standards: 10)

Members:

Prof.AbdulhameedAlzaid,

Prof.KhalafSultan,

Prof.AwadAl-Gohary .

Its tasks are:

1. To set a system for the observation, documentation and propagation of scientific research data

and the participation in conferences.

2. To establish and update a data base for research papers and projects published by Faculty

members in the Department.

3. To urge scientific publication in scientific journals of renowned world classification.

4. To announce a list of the research papers of Faculty members on the Department website and

updating it annually.

5. To periodically evaluate the present higher studies courses as mandated by the permanent

Committee of the Deputy – Deanship of Higher Studies in the College.

6. To undertake the tasks referred to it by the Committee of Higher Studies and Scientific

Research in the College.

7. To register the present research projects and those already finalized in the Department and the

announcement of their titles on the Department website and their return on the community

service.

8. To list the names of the supervisors of the theses among the Faculty members and their

numbers while observing the world ratios in this regard.

9. The students' Academic Study Plans Committee , (SASPC): (Standards: 4)

Members:

Prof. Mohamed Kayid,

Prof.KhalafSultan,

Its tasks are:

1. Evaluating and adjusting the students' Academic Study Plans Committee via internal or

external bodies to ensure reaching to a unique and to a distinctive academic student study plan,

(Collaborated with the Department Steering Committee, (DSC)).

2. Updating, modifying and revising all academic taught and educated courses of the academic

study plan to cover all the society demands, and needs, that will be depend on the Program's

Annual Report (PAR), and on the Department Advisory Council, (DAC). (Collaborated with

the Evaluation and Academic Accreditation Committee, (EAAC), and with the Alumni Affairs

and Employment Committee, ( AAEC)).

3. Revising and updating the Vision, Mission and Objectives of the program, habitually. In

addition, suggesting any modifications to cope Societies alterations, (Collaborated with the

Department Steering Committee, (DSC)).

4. Providing and submitting periodical reports on the different study Courses, and on the

Scientific Program(s) to the Department Counsel for discussing, authenticating, approving and

fixing up all the suggested modification at the end of each semester.

5. Ensuring that all the Academic Study Plan is fulfilling all the requirement of the frame works

of NCAAA Qualifications; issued by NCAAA, (collaborated with the Evaluation and








Academic Accreditation Committee, (EAAC), and with the Development and Quality

Committee, (DQC)).

6. Documenting all phases of the Academic Study Plan's modifications (ASP), in addition

archiving all the collected information, and data to be used in study plan's modifications,

(collaborated with the Evaluation and Academic Accreditation Committee, (EAAC)).

7. Performing, suggesting, and executing the suggested workshops for the innovative Programs in

the Department.

8. Providing a periodical report at the ceased period of the academic year involving all

modifications, and suggested plans have been conducted on academic study plan.

9. Preparing the (SASPC)'s policies, procedures and various forms that are organizing,

controlling, updating, and improving the established Academic Study Plan or omitting it. In

addition, organizing the carrying out committees' tasks.

10. Reporting to (DSC) by whichever suggestions, or any pioneering intervening sheared programs'

along with the others colleges' Scientific Programs.

11. Preparing all (SASPC)'s meeting at the end of each Arabic month and providing each meeting

report to the Steering, Committee. In addition, all these reports have to be folded (Filed),

according to its serial numbers arrangements in the department's Academic Accreditation

Room (ACR) filling system.

10. The Safeties and Securities Committee (SSC): (Standards: 7)

Members:

Dr. Ibrahim Nefissa

Dr.SamehAskar,

Its tasks are:

1. Preparing the (SSC)'s policies, procedures and various forms that are organizing controlling,

the in carrying out committees' tasks within the Department.

2. Listing all equipments, instruments,… etc in Labs and estimating its requirements from safety

materials, and storing it in the right and safe place within the Labs, and writing down all the

necessaries' a periodical and preventive maintenance and material status reports from time to

time .

3. Synchronizing in all training workshops and in all Safety related efforts and tasks with the

College Main Safety Committee, (CMSC).

4. Ensuring the availability and accessibility of the safety and security procedure as well as the

emergency phone numbers' are located in all Laboratories and in all lecturing theatres at the

commencement date of the study of each semester.

5. Spreading out awareness of safeties' affairs by preparing and distributing most of publications

and leaflets of safeties and securities, that illustrate all prospective risks issued by utilizing

radiated, electrical and chemical materials, and listing all Safeties procedures to act with, and to

prevent them at the starting date of each semester, and locating them in its proper, right place

within the entities.

6. Running all evacuation training sessions, and how to operate and deal with the safety apparatus

for all faculties' members, in order to ensure its implementation at the time of hazards and risks,

(Collaborated with the Department development and Quality Committee,(DQC)).

7. Pursuing all safeties conditions by applying the following points:

a) Existing an easy passing and opening procedures safeties' doors.

b) Ensuring the validity date of the Fires chemical cylinders and roll by referring








administration unit at the college, as well as it is located in the right place in every floor

within the College's buildings corridors.

c) Ensuring the operation of water pumps from time to time.

d) Installing smoke sensors and locating them in very suitable places within the College

Buildings.

e) Ensuring the function of the fire Bills.

f) Checking all the electrical supplies cables in all department's division and subdivisions.

8. Spreading out the safety awareness and sticking to the safety procedures among faculties'

members, students, and administration by applying the following:

a) Ensuring the cleanness of laboratories, and tools clearness.

b) Listing all risk that might take place in all Laboratories and Lecturing lecture theatres.

c) Grouping and individual meetings.

d) Throughout computer's software safety programs.

e) Throughout leaflets, and flyers.

f) Inviting professional trainer from Civilian Defenders (CDU), and from the Red Crescent

(RCU) units.

9. Running a very special safety computer programs via different TV's screens sets scattered

within the college building.

10. Pursuing the planning and executing the following:

a) Running training sessions in primary cares, and in disastrous events for a few selected

faculties' members within the Department.

b) Running training sessions in how to utilize the chemical fire cylinder for a few selected

faculties' members within the Department.

11. Reviewing all feedback information in order to improve all emergencies plans.

a) Preparing the Committee's (CSC) policies, procedures and various forms that are organizing

controlling, in carrying out committees' tasks.

12. Preparing all (SSC)'s meeting reports at the end of each Arabic month, and directed to the

Steering, Committee. In addition, all these reports have to be folded (Filed), according to its

serial numbers arrangements in the department's Academic Accreditation Room (ACR) filling

system.

11. The E-Learning Committee: (Standards: 4,6)

Members:


Dr. Amr Sadek,

Prof.Abdulahh Al-Sheha

Its tasks are:

1. Activating and commencing the digital and e-learning courses technique in all different levels

of the Academic studied program. (Collaborated with the Department Steering Committee,

(DSC)).

2. Obligatory the Blackboard system to be the tool to convey, and to transmit courses' knowledge

electronically to students.

3. Launching all the appropriate and any other courses' fitting techniques that will lead to improve

the syllabus, and to implement e-learning as far as it is deemed as an academic study manner of

learning.

4. Looking for opportunities and services offered by E-learning Deanship in order to gain








advantages that are needed.

5. Finding out, and verifying all the e-learning training needs for Faculties' members to implement

e-learning techniques in their lecturing. (Collaborated with the Development and Quality

Committee, (DQC)). Providing a periodical report at the ceased period of the academic year

involving all modifications, and suggested course to be e-courses, and the utilizing tools in

building up e-learning course (e-course).

6. Preparing the (ELC)'s policies, procedures and various forms that are organizing controlling, in

carrying out its above tasks.

7. Preparing all (SASPC)'s meeting reports at the end of each Arabic month, and directed to the

Department's Steering, Committee (DSC). In addition, all these reports have to be folded

(Filed), according to its serial numbers arrangements in the department's Academic

Accreditation Room (ACR) filling system.

5. List all branches/locations offering this program

Branch/Location 1. University Campus at Diriyah for male students

________________________________________________________________________

Branch/Location 2.

________________________________________________________________________

Branch/Location 3.

Branch/Location 4.

A. Program Identification and General Information








1. Program title and code: Operation Research/OR

2. Total credit hours needed for completion of the program: 136 hours

3. Award granted on completion of the program: Bachelor Degree in Operation

research (B. Sc.)

4. Major tracks/pathways or specializations within the program (eg. transportation or

structural engineering within a civil engineering program or counselling or school

psychology within a psychology program): Statistics Program

5. Intermediate Exit Points and Awards (if any) (eg. associate degree within a bachelor

degree program): Not Applicable

6. Professions or occupations for which students are prepared. (If there is an early exit

point from the program (e.g. diploma or associate degree) include professions or

occupations at each exit point)

Governmental and private agencies

Banks and hospitals

Environmental agencies

Research & Development agencies

7. (a) New Program No Planned starting date

(b) Continuing Program Year of most recent major program review

Organization involved in recent major review (eg. internal within the institution,

accreditation review by:

Accreditation review by __ASIIN______? Other_____________?

8. Name of program coordinator or chair. If a program coordinator or chair has been appointed

for the female section as well as the male section, include names of both.

Dr. Mansour Sarahili (Department Chairman)

mailto:[email protected]








9. Date of approval by the authorized body (MoH for private institutions and Council of Higher

Education for public institutions).

Campus Branch/Location Approval By Date Main Campus:

1: Al-Diriyah

2:

3:








B. Program Context

There are many key factors and trends, associated with the regional context pertaining to the higher

education These key factors are:

Low outcomes of Saudi high schools.

Increasing oil depletion,which lead to increase the support to the Saudi higher education sector: the

budget increased from SAR 94 billion in 2007to SAR 204 billion in 2013. However, in the last three

was decrease in line with the decrease of oil price.

Shifting Saudi demographics and job market needs, over 40% of the population are below the age of

15, with a high youth unemployment rate and 30% of Saudi youth are unemployed, despite the strong

demand for highly skilledlabour;

Establishment of King Abdullah University of Science and Technologywhich is the first Saudi post-

graduate university.

Entry of competing outstanding international universities into the region, such as Weill Cornell

Medical School, Carnegie Mellon and Georgetown University, Virginia Commonwealth University in

Qatar and London Business School, the Sorbonne, and INSEAD in UAE.

Shifting the Kingdom towards a knowledge-based economy, e.g. professional knowledge services,

healthcare, engineering, education and designated Saudi‘s six economic cities to focus on knowledge

industries.

More specific changes and trends related to science education:

The rapid developments and new trends in the field of Science education including Operations

Research necessitated adoption of new learning methods and compliance with new education

standards. Basic and applied Sciences Curricula and learning material and methods of Operation

Research cannot remain stagnant ignoring these new trends.

As the first College of science and a leader of basic Science education in the Gulf region there has

been a tremendous responsibility felt by the leadership, administration, and staff of this College in

maintaining a role model in effective under and postgraduate basic science in addition to the research

and community service.

Since the basic science is the core for the economic development in all fields and improves the life of

humankind, so the very important priority for the College of Science is to graduate more scientists to

serve the community.

1. Changes in the Institution Affecting the Program:

Based on the KSU 2030 Vision, the university was transformed into a smaller, more compact, more

responsive institution, focusing on research. The significant implications of this transformation requires

new processes and procedures; new organizational systems at human, information and resource levels;

and, not least, new mindsets: all of these are beginning to take shape. In June 2009, in order to pursue its








desire for excellence, KSU redefined its future strategic direction, resulting in a new 2030 Vision and

Mission, and thus new key strategic objectives; these formed an ambitious new Strategic Plan for the

University.

KSU’s new vision is: “To be a world-class university and a leader in developing Saudi Arabia’s

knowledge society”. . KSU’s new mission is: “To provide students with a quality education, conduct valuable research, serve

the national and international societies and contribute to Saudi Arabia’s knowledge society through

learning, creativity, the use of current and developing technologies and effective international

partnership"(http://ksu.edu.sa/en/about-ksu/mission-vision).

The University implemented the “Preparatory Year Program “in order to enhance the skills of students

and to make them more competitive in a changing labour market. This Program emphasizes the following

skills: the English language, computer and IT, thinking and communication, and entrepreneurship.

Moreover, new deanships have been created to pursue the ambitions of the University leadership for

quality and continuous improvement. These new deanships are:

The Deanship of Development

The Deanship of Quality

The Deanship of E-learning and Distance Education

The Deanship of E-Transactions and Communications.

The Deanship of Skills Development

To improve its academic performance, and the outcomes of its scholarship and research, a number

of initiatives have been undertaken by the University. These include:

The research chairs’ Program. This presently involves 166 committed chairs and several

specialized research institutes and centres of excellence.

The International Twinning Program.

The Nobel Laureates’ Program.

An ambitious reward system for excellence, which offers awards for academic scholarship and research

achievements.

These initiatives have resulted in KSU significantly improving its international standing. It is currently ahead

of all Saudi, Gulf and Arab universities in three major academic rankings: Web metrics, QS Time and

Shanghai Jiatong. KSU graduates are currently rated the best in the Kingdom, as well as rating highest

among Saudi universities in terms of admission and degree completion at leading international

universities through the King Abdullah Scholarship Program. Moreover, KSU graduates, studied abroad

to gain Master’s and Ph.D. degrees have been commended for excellent performance.

In the drive to enhance and develop the skills and knowledge in society, such graduates are supported at

KSU by a Science Park that includes:

http://ksu.edu.sa/en/about-ksu/mission-vision








Research Excellence Centres

The Riyadh Techno Valley Project (RTV)

Technology Incubators

KSU recognizes the importance of Strategic Planning and Management and has already made headway

in this area by developing the 2030 KSU Strategic Plan, resulting in the implementation of the University

Advisory Council, the Project Management Office and a new, more streamlined organizational structure,

as well as developing procedure manuals for all academic units in order to improve the University’s

administrative processes.

To provide automated performance statistics, and to generate reports, a new administrative system

(Madar) has also been implemented to improve and facilitate the exchange of information within the

University. Moreover, as a quality assurance measure, all units within the University campus have been

encouraged to obtain the ISO 9001. Wide-ranging discussions have taken place at all levels concerning

the University’s strategic direction and the Rector has issued invitations to all faculty members, students

and staff to take part in the current quality improvement process.

KSU has also played a major role in a national higher education initiative that has resulted in the

creation (from Colleges originally associated with KSU) of three regional universities (PRINCE

SATTAM; AL-MAJMAAH and SHAQRA) in 2009. This has lead the University to be a leaner and more

focused organization offering more efficient academic Programs. In order to place KSU as a leading

institution (both regionally and internationally) and to enable it to with challenges and competition more

effectively, a number of strategic infrastructure Programs have also been implemented. A large

endowment fund Program has been developed by the University in order to be financially self-sufficient

regarding high-investment projects. Quality Management is of central importance to KSU in its drive for

excellence. In this regard, the following progress and developments have been made:

The creation of the KSU Quality Governance Structure,

The development of the Quality Model for KSU,

The implementation of the KSU–QMS,

The completion of the KSU-KPI project.

The development of a Management Information System (MIS),

The launch of the Data Warehouse Project, to encourage active participation.

Other driving source of change affecting the Statistics Program comes from the College of Science:

The College of Science aspires to offer excellent and successful programs including Operation Research,

high quality outcomes, and efficient faculty and administrators so that it attracts dedicated and successful

students to join the college.

To achieve its ambition as a leading college of Science in the region, a few key initiatives are initiated.

Some of which are:








Distinctive faculty:

To keep abreast with the ever-changing needs of the labour market within national and international

criteria, the college has embarked on the recruitment of a select group of faculty members who obtained

their academic degrees from high ranking universities in American, European, Asian, and Arab world and

who are professional and have a state of art research contributions.

Progressive curriculum venture:

The College used to revise the study plans of all programs every five years to design new plans

compatible with the advances in the knowledge of the basic Science and teaching methodology. In

addition, the revising plans of all programs to able the graduates of the college to compete in the local and

regional market. In 2011, the college obtains academic accreditation for its programs from Institutional

Accreditation in Germany (ASIIN). In 2016, five of its program obtains accreditations from EEC-HES

Building bridges:

The College of Science is building bridges with the local society through offering training and

consultative programs to exchange knowledge and meet the requirements of the Society. The college

facilities and equipment are opened around the clock to serve the surrounding society.

2. Enrolment Management and Cohort Analysis (complete tables on the following pages)

Cohort Analysis refers to tracking a specific group of students who begin a given year in a program and following

them until they graduate (How many students actually start a program and stay in the program until completion).

A cohort refers to the total number of students enrolled in the program at the beginning of each academic year,

immediately after the preparatory year. No new students may be added or transfer into a given cohort. Any students

that withdraw from a cohort may not return or be added again to the cohort.

Cohort Analysis Table G. 0.17 provides complete tracking information for the most recent cohort to complete the

program, beginning with their first year and tracking them until graduation (students that withdraw are subtracted

and no new students are added).

Cohort of the Academic Year tables refer to current cohort tracking that is in progress. A separate cohort tracking

table should be provided for each year.

3. Analyze the mission, goals, content, and methods of delivery of the program and describe any implications for

changes that may be required in as a result of changes noted under 1 and 2.

Taking a positive view toward mission, goals, content, statistics program introducing significant changes

of the curriculum, integrating labs in many courses, creating the research chairs and centres of

excellence, improving the student's facilities, give opportunity to present staff to attend training

sessions on e- learning, appointing new and professional staff members to join the department and








finally, introducing new quality assurance arrangements, which require training for academic and the

supporting staff to be familiar with these arrangements.

C. Mission, Goals and Objectives

1. Program Mission Statement (insert)

- Commitment to excellence in discovery and transmission of knowledge in the field of

Operation research, achieving international recognition and satisfying the national needs of

skilled manpower.

- Providing nurturing and conductive environment for quality teaching, learning and research

in basic and Applied Operation research.

2. List goals and objectives of the program within to help achieve the mission. For each goal and objective

describe the major strategies to be followed and list the indicators that are used to measure achievement.

Action KPI’s

1. Goal 1: Achieve excellence in higher education and produce scientific research serve

the society.

Developing the infrastructure and equipment for

research activities in Department of Statistics and

Operation Research (Statistics program)

The degree of advancement in the level of

scientific research.

Initiating and developing research groups The number of research groups

Encouraging scientific publication in highly

esteemed scientific journals The number of published papers in ISI journals

Supporting authorship and translation The incremental increase in the number of

authored material








The incremental increase in the number of

translated material.

Developing the current postgraduate programs and

initiating interdisciplinary study programs The number of completed programs.

Goal 2: Develop and implement ways and means to ensure quality performance and output.

Obtaining the Academic Accreditation for the

Department of Statistics and Operation Research

(Oper program) from national and international

approved commissions.

National accreditation

International accreditation

Developing current study programs and initiating

interdisciplinary programs The number of developed programs

Implementing cooperative training programs for

the oper program’s students The number of agreements of training programs

Goal 3: Effect optimal use of modern technology in education and scientific research.

Qualifying manpower in applied practices The percentage of contribution to applied studies

at the University and society levels

Attracting visiting professors and international

grants

The annual number of visiting professors to the

department

The percentage of published joint research in

specialized journals

Constructing an integrated database for all

activities and scientific projects

The percentage of the participation between

research groups in the departments

Providing computer laboratories in the

departments with modern capable devices,

equipment's and needed software programmes

The number of established or upgraded computer

laboratories

Marketing departmental services to private and

governmental sectors The number of annual marketed services.

Diversifying financial resources for research

activities The number of financial resources.

Goal 4: Provide stimulating administrative and academic environment








Establishing a participatory system for the staff of

oper program to improve the academic and

administrative work.

The Number of employees participating in this

system.

Goal 5: To attract the best faculty members, researchers and students.

Attracting distinguished faculty members and

postgraduate students to the department

The percentage of admitted students

The percentage of foreign students.

Goal 6: Building bridges within and outside the College and communicate with various sectors of

the community and globally.

Implementing partnership with national and

international universities and specialized centres

The number of locally participating members

The number of internationally participating

members

Developing research partnership with

universities and research centres

The number of participation agreements

The number of research groups

Implementing an exchange scheme of members

with national and international universities and

scientific centres

The number of participating members

Implementing an exchange scheme of

postgraduate students of the department with

universities and scientific centres

The number of participating students in this

program.

Goal 7: Enhance scientific culture and its effectiveness.

Developing an effective training program where

academic’s and labour’s vision can be

implemented in the assessment of the graduates

The number of agreements with training job

centres

The percentage of participated graduates.








D. Program Structure and Organization

1. Program Description:

List the core and elective program courses offered each semester from Prep Year to graduation using the below

Curriculum Study Plan Table (A separate table is required for each branch IF a given branch/location offers a

different study plan).

A program or department manual should be available for students or other stakeholders and a copy of

the information relating to this program should be attached to the program specification. This

information should include required and elective courses, credit hour requirements and

department/college and institution requirements, and details of courses to be taken in each year or

semester.

Study plan for the Department of Statistics and Operations Research

Program: Ope11rations Research

Degree: Bachelor of Science

Preparatory Year ( 31 credit hours)

Course Code

and Number Title Credit Hours Pre-requisite(s) Co-requisite(s)

ENG 140 English Language 1 8

ENG 150 English Language 2 8

MATH 140 Introduction to Mathematics 2

MATH 150 Differential Calculus 3

CT 140 Computer skills 3

CI 140 Learning, Thinking and Research Skills 3

CHS 150 Health and fitness 1

ENT 101 Entrepreunership 1

MC150 Communication skills 2

Total 31

University requirements (8 credits hours)

The student selects 8 credits hours from the Islamic Culture courses

Compulsory Requirements from the Department (59 credits)








Course Code

and Number Title

Credit

Hours

Pre-

requisite(s) Co-requisite(s)

OPER 100 Introduction to Operations

Research 4 MATH 150 STAT 100

OPER 213 Linear Programming 4 OPER 100 MATH 244

OPER 322 Inventory Control 3 OPER 213 +

MATH 207

OPER 331 Non-Linear Optimization 4 OPER 213 +

MATH 207

OPER 351 Network Analysis 3 OPER 213 +

CSC 202

OPER 382 Decision and Game Theory 4 OPER 213

OPER 435 Numerical Methods in

Operations Research (E) 3

OPER 331 +

OPER 351

OPER 441 Modeling and Simulation

(E) 4

STAT 215 +

CSC 202

OPER 472 Stochastic Processes and

Queuing Theory (E) 4

OPER 213 +

STAT 215

OPER 497 Graduation Project (1) (E) 1 OPER 351

OPER 435

OPER 441

OPER 472

OPER 498 Graduation Project (2) (E) 2 OPER 497

STAT 100 Introduction to Statistics 3 MATH 150

STAT 105 Statistical Methods (E) 4 STAT 100

STAT 215 Probability (1) 4 STAT 100 +

MATH 111

STAT 223 Theory of Statistics (1) 3 STAT 215

STAT 328 Statistical Packages (E) 3 STAT 105

STAT 332 Regression Analysis 3 STAT 328,

MATH 244

STAT 436 Time Series and

Forecasting 3 STAT 332

Total 59








Compulsory Requirements from other Departments (17 credits)

Course

Code and

Number

Title Credit

Hours

Pre-

requisite(s)

Co-

requisite(s)

MATH 111 Integral Calculus (E) 4 MATH 150

MATH 207 Advanced Integral and

Differential Calculus (E) 3 MATH 111

MATH 244 Linear Algebra (E) 3 MATH 111

CSC 201 Computer Programming (E) 4 None

CSC 202 Computer Programming using

MATLAB (E) 3 CSC 201

Total 17

Elective Requirements From the Department (12 credit hours)

Group A (The student selects 4 courses one of which should be an

Operations Research course)

Course

Code and

Number

Title Credit

Hours

Pre-

requisite(s)

Co-

requisite(s)

OPER 313 Integer Programming 3 OPER 213

OPER 453 Scheduling and Sequencing (E) 3 OPER 213

OPER 490 Special Applications in

Operations Research (E) 3

OPER 331 +

OPER 351








OPER 492 Prices and Revenue Management

(E) 3

OPER 331 +

STAT 215

STAT 315 Probability (2) (E) 3 STAT 215 +

MATH 207

STAT 319 Theory of Statistics (2) (E) 3 STAT 223 +

MATH 207 STAT 315

STAT 325 Decisions Theory (E) 3 STAT 223

STAT 333 Nonparametric Statistical

Methods 3 STAT 105

STAT 331 Sampling Techniques 3 STAT 223

STAT 362 Reliability Theory 3 STAT 223

STAT 401 Econometrics (E) 3 STAT 332

STAT 430 Insurance Methods (E) 3 STAT 319

STAT 434 Linear Models 3 MATH 244

STAT 437 Design and Analysis of

Experiments 3 STAT 328

STAT 441 Quality Control 3 STAT 319

Elective Requirements From other Departments

Group B (The student selects 9 credit hours from this group)

Course

Code and

Number

Title Credit

Hours

Pre-

requisite(s)

Co-

requisite(s)

MATH 160 Computational Mathematics 2 CT 140 & MATH

111

MATH 225 Introduction to Differential

Equations 4 MATH 207

MATH 352 Numerical Analysis 4 MATH 160 &

MATH 244

MATH 382 Real Analysis (1) 4 MATH 207








MGT 101 Principles of Management and

Business 3

MGT 102 Human Resources Management 3 MGT 101

MGT 103 Entrepreneurship 3 MGT 101

MGT 104 Principles of Public

Administration 3

MGT 319 Management of Small and

Medium Size Businesses 3 MGT 101

MGT 371 Operations Management 3 MGT 101

MIS 201 Management Information

Systems 3 MGT 101

ACCT 201 Principles of Accounting and

Financial Reporting 3

ACCT 202 Principles of Cost Managerial

Accounting 3 ACCT 201

ACCT 311 Accounting for Government and

Non-Profit Organizations 3 ACCT 201

ACCT 317 Intermediate Accounting (1) 3 ACCT 201

ACCT 318 Intermediate Accounting (2) 3 ACCT 317

ECON 101 Principles of Microeconomics 3

ECO N 102 Principles of Macroeconomics 3 ECON 101

ECO N 201 Microeconomics Analysis 3 ECON 102

ECON 202 Macroeconomics Analysis 3 ECON 102

ECON 211 Money and Banking 3 ECON 102

ECON 314 Islamic Economics 3 ECON 102

ECON 317 Managerial Economics 3 ECON 102

ECON 318 Transportation and Insurance

Economics 3 ECON 102

MKT 201 Principles of Marketing 3 MGT 101 & Econ

101

FIN 200 Principles of Finance 3 ACCT 201

FIN 210 Corporate Finance 3 FIN 200

FIN 220 Investment Essentials 3 FIN 200

FIN 230 Financial markets and 3 FIN 200








institutions

FIN 240 Principles of Risk & Insurance 3 FIN 200

FIN250 International Finance 3 FIN 200

QUA 127 Mathematics of Finance 3 MATH 140

The course are distributed on level as follows

Level III Level IV

Course Code and Number

Title Pre-

requisite(s)

Co-requisite(s)

Credit Hours


Title Pre-

requisite(s)

Co-requisite(s)

Credit Hours

OPER100

Introduction to

Operations

Research

MATH

150

STAT

100 4

OPER

213

Linear

Programming

OPER

100

MATH

244 4

STAT 100 Introduction to

Statistics 3

STAT

105

Statistical

Methods (E)

STAT

100 4

MATH 111 Integral Calculus

(E)

MATH

150 4

MATH

244

Linear

Algebra (E)

MATH

111 3

CSC 201 Computer

Programming (E) 4

CSC 202

Computer

Programming

Using

MATLAB (E)

CSC

201 3

University

Requirement 2

University

requirement 2

University

requirement 2

Total 71 Total 18

Level V Level VI


Title Pre-

requisite(s)

Co-requisite

(s)

Credit Hours

Course Code and

Number

Title Pre-

requisite(s)

Co-requisite(s)

Credit Hours

OPER 351 Network

Analysis

OPER

213+

MATH

207

3

OPER

322

Inventory

Control

OPER

213 +

MATH

207

3








OPER 382 Decision and

Game Theory OPER

213

4

OPER

331

Non-Linear

Optimization

OPER

213+

MATH

207

4

STAT 215 Probability (1)

STAT

100+

MATH

111

4

STAT

223

Theory of

Statistics (1) STAT

215 3

STAT 328 Statistical

Packages

STAT

105 3

STAT

332

Regression

Analysis

STAT

328 +

MATH

244

3

MATH 207

Advanced

Integral and

Differential

Calculus (E)

MAT

H 111 3

Optional

courses outside

the Department

3

University

Requirement 2

Total 71 Total 18

Level VII

Level VIII


Title Pre-

requisite(s)

Co-requisite

(s)

Credit

Hours


Title Pre-

requisite(s)

Co-requisite(s)

Credit Hours

OPER 435

Numerical

Methods in

Operations

Research (E)

231

OPER +

OPER

351

3

OPER 498

Graduation

Project (2)

(E)

OPER

497 2

OPER 441 Modeling and

Simulation (E)

STAT

215 +

CSC 202

4

STAT 436

Time Series

and

Forecasting

STAT

332 3

OPER 472

Stochastic

Processes and

Queuing

Theory (E)

OPER

213 +

STAT

215

4

Optional

courses

within the

Department

3

OPER 497 Graduation

Project (1) (E)

OPER

351

OPER 435

+ OPER

441 +

OPER 472

1

Optional

courses

within the

Department

3

Optional

courses within

the Department

3

Optional

courses

within the

Department

3

Optional

courses outside

the Department

3

Optional

courses

outside the

Department

3

Total 71 Total 71








Operations Research Courses Description

Compulsory Courses from the Department:

OPER 100: Introduction to Operations Research Credit hours: 4 (3+0+1)

Analyzing the Operations Research Curriculum

Percentage Credit Hours Course Type

23% 31 Preparatory Year

6% 8 University

Requirements

43% 26%

59 36 Operations Research Required Courses

Inside Dept. 17% 23 Statistics

12% 7%

17 10 Mathematics* Required Courses

Outside Dept. 5% 7 Comp. Programming

9% 12 12 Operations Research Elective Courses

Inside Dept. 30 Statistics

7% 9 Elective Courses

Outside Dept.

100% 136 Total

* In addition to two courses given in the Preparatory Year.








History and nature of Operations Research. Introduction to system analysis. Problem

investigation and formulation. Linear programming models and graphical solutions .

Sensitivity analysis. Transportation problem. Assignment problem. Introduction to graph

theory and optimization in networks: The shortest path problem. Introduction to stochastic

models in operations research.

Prerequisite: MATH 150

Co-requisite : STAT 100

OPER 213: Linear Programming Credit hours: 4 (3+0+1)

Definitions and formulation of linear programs. Graphical solution. Review of linear algebra

and convex analysis. Algebra of the simplex method. The simplex method. The revised

simplex method. Duality theory and economic interpretation of duality. Sensitivity analysis.

Some applications of linear programming

Prerequisite: OPER 100

Co-requisite : MATH 244

OPER 322: Inventory Control Credit hours: 3 (2+0+1)

Definitions and models of inventory control. The simple economic order quantity (EOQ)

model. The EOQ model with shortages. The economic production quantity (EPQ) model. The

(EPQ) model with shortages. Single or multiple items constrained inventory control models.

Some dynamic inventory control models with deterministic or probabilistic demand. Inventory

control models with continuous demand rate. Some probabilistic inventory control models.

Prerequisite: OPER 213 and MATH 207

Co-requisite : None

OPER 331: Nonlinear Optimization Credit hours 4 (3+0+1)

Models of nonlinear optimization. Basic concepts of optimization. Optimality conditions for

unconstrained problems. Optimality conditions for constrained problems: Lagrange Multipliers,








KKT conditions. Quadratic Programming: Wolf's method. Computational methods for

unconstrained problems: Optimal search algorithms for univariate and multivariate problems.

Computational methods for constrained problems: Graphical method, Feasible directions

methods, Gradient projection methods, Penalty and Barrier function methods.

Prerequisite: OPER 213 and MATH 207

Co-requisite : None

OPER 351: Network Analysis Credit hours: 3 (2+0+1)

Introduction to Graph theory. Network models. Mathematical formulation of network

problems. Shortest path problem: Bellman algorithm, Dijkstra's algorithm, Bellman-Ford

algorithm. Maximum Flow Problem: Ford and Fulkerson algorithm, Max-flow min-cut theorem.

Minimum cost flow problem. Project scheduling: CPM and PERT.

Prerequisite: OPER 213 and CSC 202

Co-requisite : None

OPER 382: Decision and Game Theory Credit hours: 4 (3+0+1)

Introduction to Decision theory. Utility and expected utility. Decision under risk seeking and

risk averse. Dynamic Programming (Principle of Optimality, Dynamic Programming and

Decision Theory, various applications). Concepts and terminology of Game theory. Zero sum

games. Solutions of two persons zero sum games. Two persons nonzero sum games.

Solutions of two persons nonzero sum games. N-person games


Co-requisite : None

OPER 435: Computational Methods in

Operations Research

Credit hours: 3 (2+0+1)








This course provides a comprehensive introduction to the standard numerical techniques

commonly used in obtaining solutions to operations research problems such as: Solving

single variable equations and multi-variable equations. Numerical integration. Solving

differential equations. Solving systems of nonlinear equations. Iterative techniques in matrix

algebra. Implementation of numerical techniques for solving various types of problems using

computing software.

Prerequisite: OPER 331 and OPER 351

Co-requisite : None

OPER 441: Modeling and Simulation Credit hours: 4 (3+0+1)

Random number generators. Monte Carlo techniques. Simulation design. Input modeling.

Model validation. Analysis of simulation output. Evaluation of alternatives. Applications to

various operations research models using simulation languages such as SLAM, GPSS and

Arena.

Prerequisite: STAT 215 and CSC 202

Co-requisite : None

OPER 472: Stochastic Processes and

Queuing Models


Definition of stochastic processes. Finite Markov chains. One step and multi-steps transition

probability matrices. Chapman-Kolmogorof equation. State classification. Long run distribution

of Markov chains. Continuous-time Markov processes (Birth-and-death processes, Poisson

process). Queuing theory and models: Cumulative diagrams of queues. Performance

measures. Basic Markovian queuing models (single server queue, multi-server queue, finite

capacity queues). Some Non-Markovian queues. Some Non-Markovian queues with bulk

arrival and service

Prerequisite: OPER 213 and STAT 215








Co-requisite : None

OPER 497: Graduation Project (1) Credit hours: 1 (1+0+0)

Recognition of the problem, chosen from real - world problems, under study. Gathering

references and collecting data needed to investigate the problem under the supervision of a

faculty member.


Co-requisite : OPER 435, OPER 441, and OPER 472

OPER 498: Graduation Project (2) Credit hours: 2 (2+0+0)

Under the supervision of a faculty member, the student studies and models a solution to the

problem previously investigated in OPER 497, and presents a report of his work.


Co-requisite : None

STAT 100: Introduction to Statistics Credit hours: 3 (2+0+1)

Descriptive statistics - Measures of central tendency - Measures of dispersion - Basic

probability concepts - Conditional probability, Expectation - Variance - Bayes law- Random

variables - Probability distribution - Binomial distribution - Poisson distribution -

Hypergeometric distribution - Normal distribution – Applications by Excel.


Co-requisite : None

STAT 105: Statistical Methods Credit hours: 4 (3+0+1)

Some Statistical distributions - Sampling distributions - Central limit theorem - Chebychev's








inequality - Interval estimation - Testing hypotheses (two populations case) - Introduction to

experimental designs (CRD and RBD)- Analysis of variance (one and two ways) - Regression

(simple) - Correlation (Pearson and Spearman) - Chi square tests and application - Some

nonparametric tests.

Prerequisite: STAT 100

Co-requisite : None

STAT 215: Probability (1) Credit hours: 4 (3+0+1)

Random variables and probability distributions (Discrete and continuous) - Famous discrete

and continuous probability distributions – Random vectors - Expectation and variation -

Discrete bivariate probability distributions - Marginal and conditional probability distributions -

Independence, correlation and covariance - Moments and moment generating function -

Distributions of Function of one and two random variable

Prerequisite: STAT 100 and MATH 111

Co-requisite : None

STAT 223: Theory of Statistics (1) Credit hours: 3 (2+0+1)

Sampling distributions - Central limit theorem - Point Estimation - Properties of estimator:

unbiasedness, mean square error, consistency, sufficiency, minimal sufficiency - Exponential

family - Uniformly Minimum Variance Unbiased Estimator - Cramer-Rao inequality - Fisher's

information - Rao-Blackwell theorem - Sufficiency and Completeness - Lehmann-Sheffe

theorem - Methods of Estimation: Method of Moments - Maximum Likelihood estimators and

their properties including asymptotic properties - The Baysian Approach: Use of a prior

density - Bayes estimators - Bayes estimators with mean square error loss function - invariant

methods: Location invariant and scale invariant classes of estimators - Interval estimation

(one population case): Confidence interval estimators, Pivotal methods - Bayesian credible

intervals.









Co-requisite : None

STAT 328: Statistical Packages Credit hours: 3 (2+0+1)

Using program code in a statistical software package (Excel – Minitab – SAS – SPSS - R -

Maple - Matlab) to write a program for data and statistical analysis. Topics include creating

and managing data files, graphical presentation - and Monte Carlo simulations.


Co-requisite : None

STAT 332: Regression Analysis Credit hours: 3 (2+0+1)

Simple linear regression model - Multiple linear regression - Analysis of residuals and

predictions. - Stepwise regression - Some nonlinear regression models and data

transformations - Student will use statistical computer packages such as SAS, SPSS, Minitab,

etc.


Co-requisite : None

STAT 436: Time Series and Forecasting Credit hours: 3 (2+0+1)

Data sources: Historical data - the Web. Checking time series components: trend, seasonality,

cyclical. Transformation: Differences method - Seasonal adjustment - Forecasting: How to

forecast future - adequacy of a forecast - regression forecasting against time series

forecasting - some adequacy measures (MAD, MSE, MAPE) - Decomposition and smoothing

of times series: moving averages - exponential smoothing. Box-Jenkins models ARIMA(p,d,q):

Autocorrelation and partial autocorrelation functions - identification of appropriate model -

dealing with seasonal time series - fitting models to real and simulated data sets. Diagnostic

checks on the residuals. Case studies: training on how to analyze real life data sets using the

statistical package MINITAB - write reports.









Co-requisite : None

MATH 140: Introduction to Mathematics Credit hours: 2 (2+0+0)

Linear equations and applications - linear inequalities - Absolute value in equations and

inequalities - Complex numbers - Quadratic equations and applications – Functions - Odd and

even functions - Operations on functions - Inverse functions - Exponential and logarithmic

functions - Trigonometric functions - Conic sections - systems of equations and inequalities –

Matrices - Matrix operations.

Prerequisite: None

Co-requisite : None

MATH 150: Differential Calculus Credit hours: 3 (3+0+0)

The concept of limit, computation of limits, continuity and its consequences, limits involving

infinity, formal definition of limit, the concept of derivative, computation of derivatives (power

rule, higher order derivatives, acceleration), the product and quotient rules, the chain rule,

derivatives of exponential and logarithmic functions, implicit differentiation and inverse

trigonometric functions, the mean value theorem, indeterminate forms and L'Hopital's rule,

maximum and minimum values, increasing and decreasing functions, concavity and the

second derivative test, optimization, related rates.


Co-requisite : None

MATH 111: Integral Calculus Credit hours: 4 (3+0+1)

Definition of Definite Integral and its Properties, The Anti-derivative, Indefinite Integral and the

Fundamental Theorem of Calculus. Change of Variables. Integrals of natural and general








exponential functions. Integrals of natural and general Logarithmic functions. Derivatives and

Integrals of Hyperbolic and Inverse-Hyperbolic functions. Techniques of Integration: by parts,

Trigonometric substitutions, Completing the square, Integrals of rational functions,

Miscellaneous Substitutions. Indeterminate forms, Improper Integrals. Applications of

Integration: Area, Solids of Revolutions, Arc length and Surface of Revolution, Linear Motion,

Work, Momentum and Center of Mass. Numerical Integration. Polar coordinates, relation

between polar and Cartesian coordinates, Graphs of polar curves, Area in polar coordinates.

Parametric Equations.


Co-requisite : None

MATH 207: Advanced Differential and

Integral Calculus


Cartesian coordinates, functions of two or several variables, limits and continuity, partial

derivatives, chain rule, maxima and minima for functions of two and several variables,

Lagrange multipliers, double integrals and their applications, triple integrals and their

applications, sequences, infinite series, geometric series, convergence tests, alternative

series, absolute convergence, conditional convergence, functions representation by power

series, Taylor’ series, Maclaurin’ series, Binomial series, first order differential equation


Co-requisite : None

MATH 244: Linear Algebra Credit hours: 3 (3+0+0)

Matrices and their operations, types of matrices. Elementary transformations. Determinants,

elementary properties. Inverse of a matrix. Linear systems of equations. Vector spaces, linear

independence, finite dimensional spaces, linear subspaces. Inner product spaces. Linear

transformations, kernel and image of a linear transformation. Eigen values and Eigen vectors

of a matrix and of a linear operator.









Co-requisite : None

CSC 201: Computer Programming Credit hours: 4 (3+0+1)

Introduction to computer programming, algorithms, variables and data types, concepts of

object oriented programming, classes, objects and methods, basic control structures

(sequence, if /else, looping), arrays , strings, file processing, interfaces, inheritance and

polymorphism, GUI (graphical user interface).

Prerequisite: None

Co-requisite : None

CSC 202: Computer Programming Using

MATLAB


Interacting with MATLAB, program design and algorithm development, M-files, designing GUI

(graphical user interface), calculus with MATLAB, vectors and matrices, strings, functions, 2-D

and 3-D graphics, MATLAB programming, data analysis operations, errors, applications:

(randomness, simulation, Markov process, linear equations, some numerical methods),

integrating MATLAB based algorithms with external applications and languages, such as C,

C++, Fortran, Java, COM, and Microsoft Excel.

Prerequisite: CSC 201

Co-requisite : None

Elective Courses from the Department:

OPER 313: Integer Programming Credit hours: 3 (2+0+1)

Introduction to integer programming. Examples of integer programming problems. Some








applications of integer programming. Optimality of integer programming. Branch and bound

methods. Implicit enumeration methods. Cutting plane method.


Co-requisite : None

OPER 453: Sequencing and scheduling Credit hours: 3 (2+0+1)

Introduction to sequencing and scheduling: concepts and examples. Optimality in sequencing

and scheduling. Basic results of single machine sequencing and scheduling. Algorithms for

general Job-Shop and Flow-Shop problems. Dynamic programming models for sequenced

decisions using the principle of optimality. Use of dynamic programming in solving sequencing

and scheduling problems.


Co-requisite : None

OPER 490: Special Applications

in Operations Research


Topics in Supply Chain Management. Traveling Salesman Problem. Vehicle Routing Problem.

Facility Location Problem. Multi-objective Programming. Goal Programming

Prerequisite: OPER 331 and OPER 351

Co-requisite : None

OPER 492: Pricing and Revenue Management Credit hours: 3 (2+0+1)

Pricing and revenue management concepts. Basic price optimization. Price differentiation.

Pricing with constrained supply. Revenue management. Capacity allocation. Network

management. Overbooking. Markdown management. Customized pricing.








Prerequisite: OPER 331 and STAT 215

Co-requisite : None

STAT 315: Probability (2) Credit hours: 3 (2+0+1)

Sequence of Events – Continuous random vector - Joint probability distribution - marginal and

conditional probability functions - Conditional expectation and variation - Joint probability

distributions of functions of random variables - Joint moment generating functions - Order

statistics - Probability inequalities - Sequences of random variables and modes of

convergences - Central limit theorem and proof - normal approximation


Co-requisite : None

STAT 325: Decision Theory Credit hours: 3 (3+0+0)

The elements of making decision problem without data: Utility, Actions Space, State of nature

space - Pure actions - MinMax and Bayes actions - MinMax mixed actions - Using data for

making decisions (Decision Rule)- MinMax pure and mixed decision rules- Bayes decision rule -

Estimation as a decision problem: for instance Bayes Estimate - Testing hypothesis as a

decision problem: for instance: Most powerful , MinMax and Bayes tests - Comparing tests.


Co-requisite : None

STAT 326: Theory of Statistics (2) Credit hours: 3 (2+0+1)

Interval estimation (two population cases): Confidence interval estimators, Pivotal methods -

Hypotheses Testing: Type I and Type II error, power of the tests - Most powerful test, Neymann-

pearson lemma, asymptotic tests - unbiased test - uniformly most powerful test. Monotone tests

– Neymann Pearson theorem - power curves - Likelihood ratio tests - asymptotic distribution of

likelihood ratio statistics - The Sequential Probability Ratio Test - Goodness of-fit Tests -








Bayesian testing hypotheses


Co-requisite : None

STAT 333: Nonparametric Statistics Methods Credit hours: 3 (2+0+1)

Concept of nonparametric statistics -Statistical tests based on the binomial distribution

(binomial test and estimation of ratio - quantile test - tolerance limits) - Contingency tables in

(median tests - measures of dependence - chi-square tests - Cochran test for related

observations) - Some nonparametric tests that depend on ranks: (two independent samples -

several independent samples - test for equal variances - measures of rank correlations-

nonparametric regression methods - several related samples - tests of randomization) -Tests

of the Kolmogorov-Smirnov type (the Kolmogorov goodness of fit tests - goodness of fit tests

for families of distributions).


Co-requisite : None

STAT 331: Sampling Techniques Credit hours: 3 (2+0+1)

Definition of Population and Sample - Types of surveys - Sampling Methods - Parameters

Estimation - Estimation of: (population mean - population ratios - population total). Confidence

intervals for population parameters - Selecting the sample size for estimating population mean

and total number.


Co-requisite : None

STAT 362: Theory of reliability Credit hours: 3 (3+0+0)

Concept of reliability - Structural properties of Coherent systems - Reliability of coherent

systems - Joint Structural and Reliability importance - Some parametric lifetime models








(continuous and discrete) - Classes of lifetime distributions (notions of aging) - Reliability

operation - Specialized models (competing risks, accelerated models, ..) - Life data analysis.


Co-requisite : None

STAT 401: Econometrics Credit hours: 3 (3+0+0)

Simple and Multiple regression models - Non-Linear regression models - Dummy Variables -

Multicollinearity Problem-Identification Errors - Generalized Least Square Method –

Heteroscedasticity Problem - Autocorrelation Problem - Time series models - Simultaneous

Equations - Errors in variables.


Co-requisite : None

STAT 431: Insurance Methods Credit hours: 3 (2+0+1)

Survival Distributions: Future lifetime, life tables; fundamental theorems for calculating

moments of actuarial functions - Other actuarial functions; 3 assumptions for fractional ages;

analytical laws of mortality - Net Single Premiums for Life Insurance Contracts: Definition

using a stochastic approach - Distribution of the actuarial - Present value function for different

insurance contracts - Life Annuities: Actuarial accumulation function; aggregate payment and

current payment techniques - life annuities with monthly payments - complete annuities

(immediate), apportionable annuities (due) - recursive equations - Net Annual Premiums:

Actuarial equivalence principle; basic contracts; monthly premiums; life insurance with

accumulation type benefits - Reserves: Definition of prospective loss - Basic contracts -

Monthly premiums reserves: recursive equations for discrete reserves, reserves at fractional

durations, allocation of the loss to the policy years.


Co-requisite : None








STAT 434: Linear Models Credit hours: 3 (3+0+0)

Review of necessary concepts of matrix algebra - Normal distribution with n-variables -

Quadratic forms and their distributions - The general linear model of full rank - Estimation and

hypothesis testing in the full rank model - Estimation and hypothesis testing in the less than

full rank model - Computational methods - Applications in regressions - Experimental design

and ANOVA using statistical packages.


Co-requisite : None

STAT 437: Design and Analysis of Experiments Credit hours: 3 (2+0+1)

Introduction: Review of statistical inference - Main principals of experimental design:

Replication – Randomness – Blocks – Simple comparisons experiments: t-test and alike tests.

Single Factor Experiments: Completely randomized design – Model adequacy checking –

Contrasts and orthogonal contrasts – Comparing pairs of treatment means - Block designs:

Randomized complete block design – Latin square design – Graeco-Latin square design -

Factorial designs: Two-Factor factorial design, Three-Factor factorial design, General factorial

designs - Designs with two-level factors: Two factors with two levels designs, Three factors

with two levels designs, General two-level factors designs. Confounding. Fractional factorial

designs.


Co-requisite : None

STAT 441: QUALITY CONTROL Credit hours: 3 (2+0+1)

Historical background of Quality Control - What is Quality? - the formation of Quality Control,

Quality Planning, Quality Improvement - Quality Assurance and Total Quality Management -

Modeling Process Quality - Review of statistical distributions used in Quality Control -

Statistical inference and test of hypotheses - Statistical Process Control (SPC) - Magnificent








Seven - Introduction of Control Charts - Statistical process in Quality Improvement - Pareto

Chart - Cause and Effect Diagram - Scatter Diagram - Types of control charts - Control Charts

for Variables - Process Capability Ratios - Process Capability Cpk - Control Charts for

Attribute data - Acceptance Sampling - Operating Characteristic Curve.


Co-requisite : None

Analysing the Curriculum

2. Required Field Experience Component (if any, e.g. internship, cooperative program, work experience).

Summary of practical, clinical or internship component required in the program. Note: see Field Experience

Specification

a. Brief description of field experience activity

Not applicable

Percentage Credit Hours Course Type

23% 31 Preparatory Year

6% 8 University Requirements

43% 14.7%

59 20 Statistics

Required Courses Inside Dept. 28.7% 39 Operations Research

11% 6%

17 10 Mathematics*

Required Courses Outside Dept. 5% 7 Comp. Programming

10% 14 Statistics and

Operations Research Elective Courses Inside Dept.

7% 9 Elective Courses Outside Dept.

100% 136 Total

* In addition to two courses given in preparatory year.








b. At what stage or stages in the program does the field experience occur? (eg. year, semester)

Not applicable

c. Time allocation and scheduling arrangement. (eg. 3 days per week for 4 weeks, full time for one semester)

Not applicable

d. Number of credit hours (if any)

Not applicable

3. Project or Research Requirements (if any)

Summary of any project or thesis requirement in the program. (Other than projects or

assignments within individual courses) (A copy of the requirements for the project should be

attached.) a. Brief description

Research projects: students in high levels practice different techniques and principles of

Operation Research. A written report must be submitted by the students as well as they are

required to do an oral presentation.

b. List the major intended learning outcomes of the project or research task.

Postulate and build up deduce OR mechanisms and procedures that can be used to

handle scientific problems.

Formulate abstract OR ideas and procedures using appropriate mathematical vocabulary

and notation.

Ability to demonstrate a range of skills in OR to be able to understand and formulate a

data based problem in statistical terms.

c. At what stage or stages in the program is the project or research undertaken? (eg. year,

semester)

Junior/Senior level (final year)

d. Number of credit hours: 3 credit hours

e. Summary description of provisions for student academic advising and support.

Students are supervised either by single or group of faculty members.

f. Description of assessment procedures (including mechanism for verification of

standards)








Student’s works, which are the written report and the oral presentation, are evaluated by

single or group of faculty members.

4. Learning Outcomes in Domains of Learning, Assessment Methods and Teaching Strategy

Program Learning Outcomes, Assessment Methods, and Teaching Strategy work together and are aligned. They are

joined together as one, coherent, unity that collectively articulate a consistent agreement between student learning

and teaching.

The National Qualification Framework provides five learning domains. Learning outcomes are required in the first

four domains and sometimes are also required in the Psychomotor Domain.

On the table below are the five NQF Learning Domains, numbered in the left column. For Program Accreditation

there are four learning outcomes required for knowledge and cognitive skills. The other three domains require at

least two learning outcomes. Additional learning outcomes are suggested.

First, insert the suitable and measurable learning outcomes required in each of the learning domains (see

suggestions below the table). Second, insert supporting teaching strategies that fit and align with the assessment

methods and intended learning outcomes. Third, insert appropriate assessment methods that accurately measure and

evaluate the learning outcome. Each program learning outcomes, assessment method, and teaching strategy ought to

reasonably fit and flow together as an integrated learning and teaching process.

NQF Learning Domains

and Learning Outcomes

Teaching

Strategies

Assessment

Methods

1.0 Knowledge

1.1 Identify the concept of convex analysis and its influences on

OR problems.

Lectures:

- Support students with

new concepts and

activate readings group

discussions.

-Recall basis concepts

that students already

- Homework

- Quizzes

- Written exams

- Practical exams

- Final exam

1.2 Recognize linear and nonlinear optimality and their roles in

solving problems.

1.3 Recognize theories and methods applied to for interpreting

and analyzing data related to OR.

1.4 Recognize the basics of OR and their roles in dealing with








NQF Learning Domains Suggested Verbs

Knowledge list, name, record, define, label, outline, state, describe, recall,

memorize, reproduce, recognize, record, tell, write

estimate, explain, summarize, write, compare, contrast, diagram,

economy. know.

- Writing reports,

conducting individual

tasks - practical training

talks through sections

1.5 Distinguish the numerical methods and their usage to get

solutions of applications from industry and market, and the

different ways in which numerical information is used.

1.6 Explain mathematical terminology, nomenclature and

classification systems.

2.0 Cognitive Skills

2.1 Differentiate between theories of OR theories and

principles and then assess their concepts and principles.

- Using group discussion

to analyze and

differentiate the

differences among

theories.

- Constructing research

project in the final year

on an advanced point of

OR

- Using assignments and

exercises to make

students able to criticize

OR techniques.

- Written homework

- Home tasks

- Class quizzes

- Midterm exams

- Final exam

2.2 Interpret quantitative and qualitative data based on OR

and statistical analysis. Analyze, assess and interpret

qualitatively and quantitatively relevant data.

2.3 Postulate and build up deduce OR mechanisms and

procedures that can be used to handle scientific

problems.

2.4 Formulate abstract OR ideas and procedures using

appropriate mathematical vocabulary and notation.

Develop connections within branches of OR and

between mathematics and other disciplines.

3.0 Interpersonal Skills & Responsibility

3.1 Work in teams in order to plan, execute, report and present

OR based projects;

-Working in groups

- Attend workshops and

seminars

- Encourage students on

Self-learning

- Participate in college

and university activities

-Direct observation

-Periodic reports on student

-Independent evaluation 3.4 Ability to learn independently using a variety of media,

including electronic media..

3.5 Ability to demonstrate a range of skills in OR to be able to

understand and formulate a data based problem in statistical

terms.

4.0 Communication, Information Technology, Numerical

4.1 Communicate OR clear and concise manner appropriate to

the context;

-Preparation and

presenting tasks

-Writing reports and

research papers

-Encourage students to

discus and communicate

through university Web.

Theoretical and practical tests

Evaluation reports,

presentations and tasks

Activities 4.2 Ability to present results OR analyses through written and

oral presentations

4.3 Using Information technology skills for communication and

analysis

5.0 Psychomotor

5.1 Not applicable

5.2








Cognitive Skills subdivide, differentiate, criticize, calculate, analyze, compose, develop,

create, prepare, reconstruct, reorganize, summarize, explain, predict,

justify, rate, evaluate, plan, design, measure, judge, justify, interpret,

appraise

Interpersonal Skills &

Responsibility

demonstrate, judge, choose, illustrate, modify, show, use, appraise,

evaluate, justify, analyze, question, and write

Communication, Information

Technology, Numerical

demonstrate, calculate, illustrate, interpret, research, question, operate,

appraise, evaluate, assess, and criticize

Psychomotor

demonstrate, show, illustrate, perform, dramatize, employ, manipulate,

operate, prepare, produce, draw, diagram, examine, construct, assemble,

experiment, and reconstruct

Suggested verbs not to use when writing measurable and assessable learning outcomes are as follows:

Consider Maximize Continue Review Ensure Enlarge Understand

Maintain Reflect Examine Strengthen Explore Encourage Deepen

Some of these verbs can be used if tied to specific actions or quantification.

Suggested assessment methods and teaching strategies are:

According to research and best practices, multiple and continuous assessment methods are required to verify student learning.

Current trends incorporate a wide range of rubric assessment tools; including web-based student performance systems that apply

rubrics, benchmarks, KPIs, and analysis. Rubrics are especially helpful for qualitative evaluation. Differentiated assessment

strategies include: exams, portfolios, long and short essays, log books, analytical reports, individual and group presentations,

posters, journals, case studies, lab manuals, video analysis, group reports, lab reports, debates, speeches, learning logs, peer

evaluations, self-evaluations, videos, graphs, dramatic performances, tables, demonstrations, graphic organizers, discussion

forums, interviews, learning contracts, antidotal notes, artwork, KWL charts, and concept mapping.

Differentiated teaching strategies should be selected to align with the curriculum taught, the needs of students, and the intended

learning outcomes. Teaching methods include: lecture, debate, small group work, whole group and small group discussion,

research activities, lab demonstrations, projects, debates, role playing, case studies, guest speakers, memorization, humor,

individual presentation, brainstorming, and a wide variety of hands-on student learning activities.


24

Program Learning Outcome Mapping Matrix

Identify on the table below the courses that are required to teach the program learning outcomes. Insert the program

learning outcomes, according to the level of instruction, from the above table below and indicate the courses and

levels that are required to teach each one; use your program’s course numbers across the top and the following level

scale. Levels: I = Introduction P = Proficient A = Advanced

Compulsory OR Courses

Course Offerings

NQF Learning

Domains

and Learning

Outcomes

OR

10

0

OR

21

3

OR

32

2

OR

33

1

OR

35

1

OR

38

2

OR

43

5

OR

44

1

OR

47

2

OR

49

7

OR

49

8

Sta

t 10

0

Sta

t 10

5

Sta

t 21

5

Sta

t 22

3

Sta

t 32

8

Sta

t 33

2

Sta

t 43

6

1.0 Knowledge

1.1 Identify the concept of

convex analysis and its

influences on OR

problems.

1.2 Recognize linear and

nonlinear optimality

and their roles in

solving problems.

1.3 Recognize theories and

methods applied to for

interpreting and

analyzing data related

to OR.

1.4 Recognize the basics of

OR and their roles in

dealing with economy.

1.5 Distinguish the

numerical methods and

their usage to get

solutions of

applications from

industry and market,

and the different ways

in which numerical

information is used.

1.6 Explain mathematical

terminology,

nomenclature and



2.1 Differentiate between

theories of OR theories

and principles and then

assess their concepts

and principles.

2.2 Interpret quantitative

and qualitative data

based on OR and

statistical analysis.

Analyze, assess and

interpret qualitatively

and quantitatively

relevant data.

2.3 Postulate and build up

Form 4 _ Program Specifications _SSRP_4 JULY 2013



Elective OR Courses

deduce OR mechanisms

and procedures that can

be used to handle

scientific problems.

2.4 Formulate abstract OR

ideas and procedures

using appropriate

mathematical

vocabulary and

notation.

2.5 Develop connections

within branches of OR

and between

mathematics and other

disciplines.

3.0 Interpersonal Skills &

Responsibility

3.1 Work in teams in order

to plan, execute, report

and present OR based

projects

3.2 Ability to learn

independently using a

variety of media,

including electronic

media

3.3 Ability to demonstrate a

range of skills in OR to

be able to understand

and formulate a data

based problem in

statistical terms.

4.0 Communication,

Information

Technology,

Numerical

4.1 Communicate OR clear

and concise manner

appropriate to the

context

4.2 Ability to present

results OR analyses

through written and oral

presentations

4.3 Using Information

technology skills for

communication and

analysis

5.0 Psychomotor

5.1

5.2


Course Offerings

NQF Learning

Domains

and Learning

Outcomes

OR

31

3

OR

45

3

OR

49

0

OR

49

2

Sta

t 31

5

Sta

t 32

5

Sta

t 31

9

Sta

t 33

3

Sta

t 33

1

Sta

t 36

2

Sta

t 40

1

Sta

t 43

0

Sta

t 43

4

Sta

t 43

7

Sta

t 44

1

1.0 Knowledge

1.1 Identify the concept of

convex analysis and its

influences on OR

problems.

1.2 Recognize linear and

nonlinear optimality

and their roles in

solving problems.

1.3 Recognize theories and

methods applied to for

interpreting and

analyzing data related

to OR.

1.4 Recognize the basics of

OR and their roles in

dealing with economy.

1.5 Distinguish the

numerical methods and

their usage to get

solutions of

applications from

industry and market,

and the different ways

in which numerical

information is used.

1.6 Explain mathematical

terminology,

nomenclature and



2.1 Differentiate between

theories of OR theories

and principles and then

assess their concepts

and principles.

2.2 Interpret quantitative

and qualitative data

based on OR and

statistical analysis.

Analyze, assess and

interpret qualitatively

and quantitatively

relevant data.

2.3 Postulate and build up

deduce OR mechanisms

and procedures that can

be used to handle

scientific problems.

2.4 Formulate abstract OR

ideas and procedures

using appropriate

mathematical

vocabulary and


notation.

2.5 Develop connections

within branches of OR

and between

mathematics and other

disciplines.

3.0 Interpersonal Skills &

Responsibility

3.1 Work in teams in order

to plan, execute, report

and present OR based

projects

3.2 Ability to learn

independently using a

variety of media,

including electronic

media

3.3 Ability to demonstrate a

range of skills in OR to

be able to understand

and formulate a data

based problem in

statistical terms.

4.0 Communication,

Information

Technology,

Numerical

4.1 Communicate OR clear

and concise manner

appropriate to the

context

4.2 Ability to present

results OR analyses

through written and oral

presentations

4.3 Using Information

technology skills for

communication and

analysis

5.0 Psychomotor

5.1

5.2


Compulsory Courses from other Programs

Course Offerings



Ma

th 1

11

Ma

th2

07

Ma

th 2

44

CA

C 2

01

1.0 Knowledge

1.1 Identify the concept of convex analysis and its

influences on OR problems.

1.2 Recognize linear and nonlinear optimality and their

roles in solving problems.

1.3 Recognize theories and methods applied to for

interpreting and analyzing data related to OR.

1.4 Recognize the basics of OR and their roles in dealing

with economy.

1.5 Distinguish the numerical methods and their usage to

get solutions of applications from industry and market,

and the different ways in which numerical information

is used.











problems.



2.5 Develop connections within branches of OR and



3.1 Work in teams in order to plan, execute, report and

present OR based projects

3.2 Ability to learn independently using a variety of media,

including electronic media

3.3 Ability to demonstrate a range of skills in OR to be able

to understand and formulate a data based problem in

statistical terms.

4.0 Communication, Information


4.1 Communicate OR clear and concise manner appropriate

to the context

4.2 Ability to present results OR analyses through written

and oral presentations

4.3 Using Information technology skills for communication

and analysis

5.0 Psychomotor

5.1

5.2


University Requirements

(The student selects four courses)

Course Offerings



IC 1

00

IC 1

01

IC 1

02

……

.

1.0 Knowledge

1.1 Identify the concept of convex analysis and its

influences on OR problems.

1.2 Recognize linear and nonlinear optimality and their

roles in solving problems.

1.3 Recognize theories and methods applied to for

interpreting and analyzing data related to OR.

1.4 Recognize the basics of OR and their roles in dealing

with economy.

1.5 Distinguish the numerical methods and their usage to

get solutions of applications from industry and market,

and the different ways in which numerical information

is used.











problems.



2.5 Develop connections within branches of OR and



3.1 Work in teams in order to plan, execute, report and

present OR based projects

3.2 Ability to learn independently using a variety of media,

including electronic media

3.3 Ability to demonstrate a range of skills in OR to be able

to understand and formulate a data based problem in

statistical terms.

4.0 Communication, Information


4.1 Communicate OR clear and concise manner appropriate

to the context

4.2 Ability to present results OR analyses through written

and oral presentations

4.3 Using Information technology skills for communication

and analysis

5.0 Psychomotor


5. Admission Requirements for the program

Attach handbook or bulletin description of admission requirements including any course or experience

prerequisites.

Note that the following information about Admission Requirements for the program as they are common

between programs in the college in general.

Admission requirements and procedures are summarized in the general undergraduate catalogue of the

University and through the comprehensive KSU‘s admissions website

(http://www.ksu.edu.sa/sites/KSUArabic/Deanships/dar/Pages/default.aspx). Students admitted at the

University are advised on curriculum matters through orientation programs, which are conducted once at

the beginning of the year/semester. In the orientation programs, representatives from each college

introduce their curriculum and career opportunities. In addition, students enrolling at the University are

advised on curricula and career matters through the following channels:

Student Council Committees (SCC), which consists of students representing various colleges

Deanship of Student Affairs has established students counselling and guidance units in order to:

1. Help students understand the dimensions of the situation (the problem) and that is half the solution.

2. Help students recognize their potentialities and abilities, as well as environmental resources around

them and try to exploit them.

3. Solve the problems of academic achievement.

4. Solve mental and social problems that may impede academic achievement.

(http://www.ksu.edu.sa/sites/KSUArabic/Deanships/StudentsDeanships/Students_S/Pages/defaul

t.aspx)

Furthermore, the Deanship of Student Affairs, in coordination with colleges and departments, implements

a comprehensive and diverse program of extracurricular activities, such as sports, community services and

training courses in various areas.

Other important students' services include:

1. Educational Services Office: aimed to help students to improve their writing.

2. Student Employment Office: aimed to provide jobs for students on campus.

3. Psychological Counselling and Social Development Office: aimed to provide students with

psychological and social counselling in terms of diagnosis and treatment.

King Salman Central Library provides services and materials to all students who enrol in on- campus

courses or who register for thesis or dissertation research hours. The library has thousands of printed and


digital materials that support students' learning in various subjects. Additionally, the library has a

subscription to a wide range of remotely-accessible databases, e-journals, and e-books. Most of the

databases are indexes to scholarly literature and provide citations and abstracts for journals based on input

subject parameters. A lot of the databases contain full-text information. In other words, they contain the

entire text of an article or an image of each page of the article. Moreover, the library subscribed to a large

number of scholarly e-journals which can be accessed through the libraries' website at:

http://ksu.edu.sa/sites/KSUArabic/Deanships/library/Pages/default.aspx.

At the College level:

In addition to services being provided by the university the following is also available at the college level:

Academic guidance committee: There is a dedicated committee to give students support both on

academic and personal level. This committee has clear policies and regulations. This committee is a

standing committee of the college that reports to the vice dean for academic affairs. Students are

represented in the committee through two members (representatives from the student's council). Two

academic staff members are given the responsibility for each academic phase on part-time bases.

Although these staff members do their best there is lack of enough supporting administrative staff. The

college has social supervisor for this matter.

Office Hours: Teaching staff is required specify and submit his office hours at the beginning of each

academic year as well as to post them on his website and office door.

Student affairs office: This office is responsible for all academic student support services. It is located

in a strategic place in the college and all information required by students is available there. The office

is appropriately staffed.

Orientation: Overall, students get enough orientation in the beginning of the year and semester. All

information and material required by students are available on the college website. In addition,

booklets are available with all regulations and policies.

Communication: Students' team leaders are in direct and continued communication with the Vice

Dean for Academic Affairs. They have an active website through which all their announcements are

posted.

Career counselling: A special seminar is arranged for first year students in the PYP to orient them on

the issue of choosing their specialty.


The following table shows the results of graduates satisfaction survey related to this substandard

At Department Level

Assistance and advising are available at the department level for the students. That can be through

Students Guidance Committee where office hours of teaching staffs are scheduled and posted on their

offices.

6. Attendance and Completion Requirements

Details are provided in the handbook or the bulletin description of requirements for, (a) attendance, (b)

students’ progression from year to year, and (d) program completion and graduation requirements

E. Regulations for Student Assessment and Verification of Standards

What processes will be used for verifying standards of achievement (eg check marking of sample of

tests or assignments? Independent assessment by faculty from another institution) (Processes may

vary for different courses or domains of learning.)

Samples of all kind of assessment are available in the departmental course portfolio of each

course and in the faculty member’s web pages.

Group marking and group grading is conducted in some courses where the exam paper of each

person is graded by more than one instructor. Faculty from other institutions are invited to

review this grading policy conducting standardized exams such as those in the well-known

universities.

F Student Administration and Support

1. Student Academic Counselling

Describe the arrangements for academic counselling and advising for students, including both

scheduling of faculty office hours and advising on program planning, subject selection and career

planning (which might be available at college level).

In general, guidance and advice through the university website for all students. In

addition, members of faculty help students in different aspects, for example in

understanding the program requirement and the registration process. Hence office

hours are posted on the doors of faculty member’s offices for students’ guidance.

Career days, on that day variety of people are invited, for example faculty,

administrators, and employers, and they all are invited to provide advise for students.

2. Student Appeals


Attach the regulations for student appeals on academic matters, including processes for consideration of

those appeals.

G. Learning Resources, Facilities and Equipment

1. What processes are followed by faculty and teaching staff for planning and acquisition of textbooks,

reference and other resource material including electronic and web based resources?

The College has access to a wide range of learning resources including King Salman Central

library and other KSU Libraries, college portal, web based learning resources, black board, and

e-journals. College portal provides vast amounts of information in the form of college policies,

faculty web- pages, links to important web-sites, and announcements about a variety of events.

In collaboration with Deanship of e-learning and Distance Education the latter is setting up the

infrastructure for e-learning, building lines of communication between faculty and students,

providing emails for each student and member of staff and faculty, as well as creating a

message centre. In addition, the University has cooperated with other partners to provide

sources of knowledge for its students such as; access to digital libraries and the National

Centre for E- Learning.

The College provides computer labs to facilitate students using and accessing internet and

other learning recourses, besides teaching purposes, furthermore, the College is completely

covered with wireless internet access. Students of the College of science buy lecturer notes and

books from student services at the College. Unfortunately, we do not know the number of

visitors to the website. Since this number reflects the richness of information and resources

available at the portal. We are planning to have this data. The processes are followed by faculty

and teaching staff for planning and acquisition of textbooks, reference and other resource material

including electronic and web based resources are:

Assigning textbooks through a textbook committee after reviewing the appropriateness

of the material by concerned faculty and approval in the departmental and higher

academic councils.

Writing of some textbooks by faculty and reviewing them proficiently before approval.

Posting courses on the web pages of the faculty members.

2. What processes are followed by faculty and teaching staff for evaluating the adequacy of textbooks,


reference and other resource provisions?

Data has been obtained through documents review and personal interviews with the Head of

the Information Technology Department. Review the annual report of Library Deanship

Report, 1436/1437 H. The team members also revised the course evaluation, readiness of the

College and student’s surveys results. Review the sites of the King Salman Library, College of

Science, Digital Library.

3. What processes are followed by students for evaluating the adequacy of textbooks, reference and

other resource provisions?

In general, questionnaire are used in the evaluation of the adequacy of textbooks, reference and

other resource provisions.

H. Faculty and other Teaching Staff

1. Appointments

Summarize the process of employment of new faculty and teaching staff to ensure that they are

appropriately qualified and experienced for their teaching responsibilities.

The distinguished graduate students are advised by the teaching staff to apply for working the

department. If they do so, the applicant will have to do a written exam. If the applicant pass

the exam, then are interviewed by senior academic administrators. Finally the department in

the departmental council take the decision based on the previous information. If the applicant

is accepted, he will be employed as instructors in the department then they are given

scholarships for MS and PhD. degrees after that they are employed as faculty members, after

verification of their credentials.

A departmental faculty application committee inspects the resumes of the applicants and

checks on their experience in teaching. Applicants are interviewed by senior academic

administrators. Presentations on the topics of interest are made in the department and

evaluated by the departmental council.

2. Participation in Program Planning, Monitoring and Review

a. Explain the process for consultation with and involvement of teaching staff in monitoring program

quality, annual review and planning for improvement.

Programs is reviewed within the divisions of the department by individual faculty

members and the group as a whole. Also, it is reviewed by departmental committee


which is formed to look into the recommendations of various divisions and to make a

final proposal to be discussed in the departmental council before approval.

3. Professional; Development

What arrangements are made for professional development of faculty and teaching staff for: a. Improvement of skills in teaching and student assessment?

Faculty and teaching staff are encouraged to attend workshops in different aspects of academic

development which are conducted frequently over the academic year. Also, peer consultation

in teaching is available upon request, and teaching staff are encouraged to have it over the

academic year.

b. Other professional development including knowledge of research and developments in their field of

teaching specialty?

Through academic year many workshops run by international experts on emerging teaching

and learning strategies. Also, it is offered that Sponsoring grants for research and innovation in

teaching and learning. In addition, faculty and teaching staff are encouraged to attend

conferences, workshops locally and internationally to enhance their knowledge of research in

the field of teaching.

4. Preparation of New Faculty and Teaching Staff

Describe the process used for orientation and induction of new, visiting or part time teaching staff to

ensure full understanding of the program and the role of the course(s) they teach as components within

it.

First, announcing the presentation (seminar) date and time of the new members. Second,

provide the new member with the faculty handbook which introduces all university rules and

regulations.

5. Part Time and Visiting Faculty and Teaching Staff

Provide a summary of Program/Department/College/institution policy on appointment of part time and

visiting teaching staff. (ie. Approvals required, selection process, proportion to total teaching staff,

etc.)


It should be mentioned that the number of visiting faculty and teaching staff is limited per

academic year. The department by its departmental council assign and announced courses

relevant to industry. A committee of the concerned faculty review the received applications

and the final decision is taken and approved by the higher university administrators.

I. Program Evaluation and Improvement Processes

1. Effectiveness of Teaching

a. What processes are used to evaluate and improve the strategies for developing learning outcomes in

the different domains of learning? (eg. assessment of learning achieved, advice on consistency with

learning theory for different types of learning, assessment of understanding and skill of teaching staff

in using different strategies)

The main source is the student course evaluations. Also, teaching staff are encouraged to

attend workshops and training course in the academic teaching and learning strategies.

b. What processes are used for evaluating the skills of faculty and teaching staff in using the planned

strategies?

The main source is the student course evaluations as well as peer consultation.

2. Overall Program Evaluation

a. What strategies are used in the program for obtaining assessments of the overall quality of the

program and achievement of its intended learning outcomes:

(i) From current students and graduates of the program?

Student experience survey and alumni survey.

(ii) From independent advisors and/or evaluator(s)?.

Self-assessment report which is reviewed by external experts.

(iii) From employers and/or other stakeholders.

Employers’ survey.


Complete the following two tables.

1. Program KPI and Assessment Table

2. Program Action Plan Table


38

Program KPI and Assessment Table

Stan

dard

KP

I#

KPI Targe

t

Benc

hmar

k

Actua

l

Bench

mark

Internal

Benchmark

s

Last two

years

Externa

l

Bench

marks

KPI's

Analysis

New

Target

Benchmar

k

H1 1 Rating of faculty

members on their

awareness of the

mission and

objectives

5 4.62 - - 92.3% of the faculty members of the Department

of Statistics and Operations Research are aware of

the mission and objectives of the department.

While this percentage is very high, it seems strange

a little bit. The mission and objectives of the

department was circulated to all faculty members

of the department, and then approved by the

department council. This means all faculty

members of the department had reviewed the

mission and objectives of the department. Also,

mission and objectives of the department are

posted on the departments’ website. Anyway, the

department chairman should emphasise the need

and importance of the mission and objectives of

the department either during the faculty meetings

or by an e-mail.

5

2 Response of the

facuity to the

statement

"Program

mission is used

as basis for

strategic

planning".

5 4.62 - - 92% of the faculty members of the Department of

Statistics and Operations Research are aware that

the program mission is used as basis for strategic

planning for the department. This percentage is

very high and to some extent is acceptable. Not all

the faculty members of the department are aware

of the concept of strategic planning itself. Also,

taking into account the previous result that there

are 7.7% of the faculty members of the department

are not aware of the mission and objectives of the

department, one can expect that 7.7% of the

faculty members of the department are not aware

that the program mission is used as basis for

strategic planning for the department. The




or by an e-mail, and its relation to how it should be

used as the basis for strategic planning for the

department.

5

3 The average

ratings of the

faculty members

4 3.75 - - 75% of the faculty members of the Department of

Statistics and Operations Research are aware that

the mission statements guides decision-making

4


to the statement

“mission

statements guides

decision-making

processes and

development of

policies in the

department "

processes and development of policies in the

department. This percentage is to some extent not

acceptable. This shows that 25% of the faculty

members of the department are not aware of the

concept of strategic planning and the process of

decision making inside the department. The




or by an e-mail, and its relation to how it should be

used as guides for decision-making processes and

development of policies in the department.

H2 1 Rate of Faculty

on the

statement:"

Feedback

concerning

faculty members’

performance is

regularly and

constructively

given to enhance

their professional

development".

3 2.92 - - The actual benchmark is very close to the target one. The department must make more

efforts to improve upon the actual target for rate of

satisfaction.

3

2 Rate of Faculty

on the statement:

"Planning

processes give

faculty members

the opportunity

to voice their

opinions in the

program".

4.3 4.17 - - The actual benchmark is very good comparing to

the target benchmark for the KPI but more efforts

are needed to reach the good benchmark

4.3

3 Rate of Faculty

on the statement:

"There is an

announced and

well-defined

code of conduct

concerning all

practices".

4.17 4.3 - - The target benchmark for the KPI, was set to 4.3,

the actual benchmark achieved was 4.17: very

close to target one. It ' is easy to attend the 4.3 as

an actual benchmark

4.3

4 Rate of Faculty

on the statement:

"Policies,

regulations, and

documents are all

4 3.5 - - The target benchmark for the KPI was 4but the

actual one is 3.5, however, more efforts are needed

to spread the awareness of such policies among all

staff and employees to improve their rate of

4


kept in easily

accessible place

satisfaction.

H3 1 The average

rating of the final

year students on

the quality of the

program

3 2.5 - - Although the value of the KPI is very good

compared with the target and internal benchmarks,

the department of statistics and operations research

should do more efforts to improve the quality of

the program.

3

H4.5 1 Students

satisfaction rate

about academic

support

5 5 - - The target value is attained 5

2 Percentage of

student entering

programs and

completing first

year successfully

3.5 3 - - The Department needs to study the indications of

the last KPIs

4

3 Proportion of

students entering

undergraduate

programs who

complete those

programs in

minimum time

3 0 - - The actual value of the benchmark is very far of

the target one; we must improve it in the future.

3

H4.6 1 Faculty overall

rating on the

statement "

Effective systems

are employed to

assess course and

instruction

quality

3.5 3.34 -

- The KPI's value is very close to the target

benchmark, we can easily, in the department reach

it

3.5

H4.7 1 Number of

attending

Professional and

academic

activities per

each faculty

5 5 - - The KPI indicates that there is a high level of

satisfaction among faculty towards the support for

improvements in quality of teaching in the

Program

5

H4.8 1 Percentage of

full time faculty members holding

Doctoral degrees

or equivalent in proportion to the

total number of

full time faculty

members.

5 5 - - Percentage of full time faculty members holding

Doctoral degrees is 100% (5***). It is equal to 5

Stars on NCAAA Stars System.

5


H5 1 The average

rating by

students to the

question: Course

registration is

organized and

easy, in student's

experience

survey

4 3.75 -

- The actual benchmark 3.75 was low. However,

very recently the students used SMR “the system

of modifying registered courses” in order to

overcome the registration difficulties. It is needed

to exceed the above humble target benchmark 4 in

any future survey

4

2 The average

rating on the

adequacy of

academic and

career counseling

from answering

the question "I

received a

suitable

academic and

career advice and

guidance during

my study in the

Program" in

graduate

evaluation

survey.

4 3.75 -

- The actual benchmark was very close to the target

one, but the department have to make more efforts

to reach the good benchmark

4

3 Student response

to the statement:

"Adequate

facilities are

available for

extracurricular

activities

(including

sporting and

recreational

activities

4 3.9 - - The actual benchmark is very close to the target

one. The activities which take place outside of

classes and are organized by the Unit of Students

Activities including sporting and social activities,

contests, exhibitions, trips, lectures, and seminars

are properly set up and well organized. . However,

In order to improve this indicator, the department

have to simplify scientific knowledge in practice

and promote scientific imagination and develop

students’ life skills.

4

H6 1 Number of book

titles held in the

library as a

proportion of the

number of

students (EEC-

HES - Ratio

average and

Level

7.8 7.62 - - The ratio average of as a proportion of the number

of students is satisfactory

7.8


accomplished)

2 Faculty

satisfaction rate

about the

statement: "It is

easy to have

access to

electronic

database

concerning

programs offered

by the

university".

4.6 4.55 - - Through this study, the faculty satisfaction about

the access to electronic database concerning

programs offered by the university requires a slight improvement.

4.6

3 Stakeholder

evaluation of the

digital library.

(Average overall

rating of the

adequacy of the

digital library,

4.36 4.22 - - Stakeholder evaluation of the digital library is

very satisfactory

4.36

H7 1 Graduate Student

evaluation of the

classrooms and

laboratories they

use

4 3.75 - - The actual benchmark is very close to the target

one, which means that graduate students are

satisfied with the department classrooms, computer labs

4

2 The overall

evaluation of the

Final year

students on the statement:”Comp

uter installations

were sufficient to my needs

4 3.75 - - The results of survey are reasonable, however

more improvements can be achieved by updating

laboratories with new computers, printers and

other electronic devices in order to reach the target

benchmark

4

3 Satisfaction rate

of the faculty rate

about the

statement:

security and

welfare services

are adequate to

ensure safety of

university

facilities and

installations

4.5 4 - - The security activities of the system are entrusted

to the University, the department can cooperate

with the E-Learning & Distance Education and E-

transactions & Communications departments to

improve the privacy of personal and institutional

information

4.5

H8 1 Total operating

expenditure (other than

accommodation

and student

12000 11789 21163 - Total operating expenditure (other than

accommodation and student allowances) per

student decreased in the last two years, but it is not

12000


allowances) per

student. (As in

2016 G).

far from the target. Its value is reasonable in terms

of the current economic status

H9 1 Proportion of

faculty members

leaving the

Department in

the past year for

reasons other

than age

retirement

<0.1 0 0 - It is good achievement. It mean that the process of

employment is efficient and quite effective

<0.1

2 Proportion of

faculty members participating in

professional

development activities during

the past year.

100% 75% 13% - The program of Operation research must

encourage its faculty members to participate effectively in professional development activities

conducted by the Deanship of Skills Development

every year

100%

H10 1 Number of

publications in

reviewed

journals in the

previous year per

full time member

of teaching staff

1 0.88 0.63 - Number of publications in reviewed journals in the

previous year per full time member of teaching

staff. Is decreased comparing to internal

benchmark. The reasons for this decrease must be

defined and an improvement plan must be in place.

1

2 Evaluation of

facilities and

environment

supporting

research (Means

average and

Level achieved

based on survey)

4.3 4.04 - - Needs improvement 4.3

3 Number of

citations in

refereed journals

in the previous

year per full time

faculty members

in the

Department of

Statistics and

Operation

research

2.05 2 - - it is consider a good achievement according to the level of achievements in KSU-QUM

2.05

H11 1 Proportion of full

time teaching

and other staff

0.6 0.5 0.38 - According to KSU-QMS, More than 0.25

considered at level six which equal 5 stares in

EEC-HES Stars systems. Although this excellent

0.6


actively engaged

in community

service activities

achievement, the Program of Operation Research

is looking for the best, and it will improve this

activities much better

2 Evaluation of

satisfaction of

employers/busine

ss operators/

users of

graduates

/alumni /parents/

graduates on

competency of

graduates (Means

average and

Level

accomplished

based on survey)

80% 60% -

- The actual benchmark in the table is the observed result of two responses only (one is satisfied and

the other not). Hence it does not reflect the actual

rating of the level of satisfaction. Based on the

internal benchmark, the target is set to 80%, and

the program must work hard to achieve its goal.

80%


45

Program Action Plan Table

Directions: Based on your “Analysis of KPIs and Benchmarks” provided in the above Program KPI and Assessment Table, list the recommendations

identified below.

No. Recommendations Action Points

Assessment Criteria

Responsible Person

Start Date

Completion Date

1 Enhancing and augmenting the

English language skills in the

curriculum to compete

internationally.

Preparatory Year

2 The credit points do not reflect the

actual size of the modules in terms of

working load as typical with

European Credit Transfer System

(ETCS). The Auditors have been

suggested to implement the" Diploma

Supplement" to provide a positive

impact on our graduates' employment

opportunities, and it will help in

raising the international awareness of

the actual level programs, especially

in graduate project.

Program

Committee


3 Attaining of oral presentation and

oral examination to increase students'

communication skills as outlined in

program educational objectives to

reflect teaching and learning methods

during the course of the study and

before graduation project.

Academic staff

4 Increasing Staff Publication and

research opportunities

Academic staff

Reformulating course Description,

and the learning out comes (ILO's).

Committee of

Study plan

Programs curricula should be

intensified, and project-oriented to

practical skills and the experience

needed. In addition, enhancing the

competitiveness, and

scientific/research aspects for

Bachelors' projects to meet the

international one.

Program

Committee

5 Enhancing international opportunities for the

under graduate students' to continue their

postgraduate studies abroad.

Post graduate


Studies and

research

Committee

Action Plan Analysis (List the strengths and recommendations for improvement of the Program Action Plan).

Program Specifications _SSRP_4 JULY 2013 21

Attachments:

1. Copies of regulations and other documents referred to in template preceded by a table of

contents.

2. Course specifications for all courses including field experience specification if applicable.

Authorized Signatures

Dean /

Program Chair

Name Title Signature Date

Program Dean

or Chair of

Board of Trustees

Main Campus

Vice Rector

Documents

Attachment 2 (a) Kingdom of Saudi Arabia The National ... · Kingdom of Saudi Arabia The National Commission for Academic Accreditation & Assessment Program Specifications (PS) Form