CSIS-385: Analysis of Algorithms

Dr. Eric Breimer

Course Info

CSIS-385: Analysis of Algorithms (Spring 2006)

Lecture: Monday, Wednesday and Friday, 9:20AM - 10:15PM, RB302

Website: http://www.cs.siena.edu/~ebreimer/courses/csis-385-s06/

OR use Google “Dr. Eric Breimer”

Instructor

Dr. Eric Breimer ebreimer@siena.edu 786-5084 RB 311 Office Hours

– Monday 1:00 - 3:00 PM – Wednesday 1:00 - 3:00 PM – Thursday 10:30 - 11:30 AM

Textbook

Algorithms, 1/e – Richard

Johnsonbaugh and – Marcus Schaefe

Prerequisites

CSIS-210 MATH-250

Topics

Mathematics for Algorithms: Order Notation, Mathematic Induction, Recurrence Relations, Graph and Tree Notation

Data Structures: Stacks & Queues, Linked Lists, Binary Trees, Priority Queues, Heaps, and Heapsort

Searching Techniques: Binary Search, DFS & BFS, Topological Sort, Backtracking

Topics

Divide and Conquer Algorithms: Mergesort, Closest Pair Problem, Matrix Multiplication

Sorting and Selection Algorithms: Insertions Sort, Quicksort, Radix Sort

Greedy Algorithms: Kruskal's and Prim's Algorithms, Dijkstra's Algorithm, Huffman Codes, Knapsack Problem

Topics

Dynamic Programming: Matrix Multiplication, Longest Common Subsequence Problem, Floyd and Warshall Algorithms

Text Searching: KMP Algorithm, Boyer-Moore-Horspool Algorithms, Approximate Pattern Matching

P and NP Problems: Graph Coloring, Hamiltonian Cycles, TSP, Satisfiability, Independent Set, and Cliques

Grading

Your final numeric average will be based on the following weights:

40% Exams & Quizzes 30% Homework & Projects 20% Final Exam 10% Lecture Attendance & Participation

Letter grades

A 93.0 or higher avg.90.0 or higher on the final exam

A- 90.0 or higher B+ 87.0 or higher B 83.0 or higher B- 80.0 or higher C+ 77.0 or higher

C 73.0 or higher C- 70.0 or higher D+ 67.0 or higher D 63.0 or higher D- 60.0 or higher F less than 60.0

Exams & Quizzes (40%)

2 exams (15% each) 4 pop quizzes (10% total) Exams will be in the evening 6:30-10PM

– more than 1 hour to complete them. – Wed. Mar 1– Wed Apr 19– 2 days off in return

If you miss a pop-quiz, you get a zero.

Homework & Projects (30%)

4-5 homework assignments (20% total)– programming involved

one homework will be an extensive group project (10%)

No Late Homeworks

Homework must be submitted at the beginning of lecture on the due date– or you can submit it before the due date.

If you are absent or late for lecture when an assignment is due, you will recieve a grade of zero.

I highly recommend that students plan ahead to start assignments as soon as possible.

Final Exam (20%)

A cumulative final exam will be given during finals week.

To receive an A in this course, you must score a 90 or higher (after curving) on the final exam.

Attendance and Participation (10%) Everyone starts with a grade of 93. I will lower your grade if I you are absent or

late for lecture. I will increase your grade if you frequently ask

or answer questions during lecture. I will not lower your grade if I only notice one

absence. If I notice that you are absent more than 4

times, your attendance grade will be 60 or lower.

Attendance Policy

You are expected to attend every class. Be aware of the following penalties:

– You can receive up to a 10% penalty toward you final average for excessive absence and/or lateness.

– In addition: • An unexcused absence on the day of a pop-

quiz will result in a grade of zero on the quiz.• An unexcused absence from an out-of-class

exam will result in a grade of zero.

Excused Absences

You can be excused (not penalize) and allowed to makeup missed work for serious issues.

For illness or medical emergencies, show documentation (a doctor's note).

For family emergencies or other serious commitments, contact academic affairs or the counseling center.

If you are concerned that an absence will not be excused, you should contact the instructor as soon as possible.

Academic Integrity

Cheating on a homework, a project, a quiz, or an exam will result in – an automatic grade of zero– a letter grade reduction on your final grade.

Second offense– automatically fail the course– formal letter send to the academic affairs

Academic Integrity

For individual work: – You can discuss the problems and general ideas

for how to approach a problem– But, your solution should be your own work and

you should guard it from plagiarism. – Never compose your answers with the help of

other students or tutors.– Excessive similarity in homework answers will be

consider plagiarism. – If you can not adequately explain your solution to

a problem, you will receive a zero for that problem.