CPE 407: BIOMETRICS AND MACHINE LEARNING

CATALOG DATAFundamentals of Biometric Science and Technology including probability theory, statistics, pattern recognition, and linear regression. Applications to Security, Robotics, Autonomous Navigation, Bioinformatics and HealthcareCOREQUISITES AND PREREQUISITESPre-req: Math 283 or CpE 260 with a grade of C or better. Advanced Standing required.CREDITS-CONTACT HRS:3 Credit hrs, 2.5 Contact hrs/weekTEXTBOOKS1. Introductory engineering statistics by S.S. Wilks, TA 340 G8 1982 (suggested)2. Introduction to Pattern Recognition by Menahem Friedman, Abraham Kandel, TK 7882 P3 F75, 1999 (suggested) 3. Pattern Recognition by Bow, 2008 (recommended)4. Second Generation Biometrics: the Ethical, Legal and Social Context, Mordini, Emilio, Springer 2012COORDINATOR:Dr. Shahram LatifiINSTRUCTORS:S. Latifi

TOPICS Elements of Probability Important Discrete Distributions The Normal Distribution Basic Concepts in Pattern Recognition Classifiers Decision Functions Classification by Distance Functions and Clustering Types of Biometrics Finger print recognition Facial recognition Voice recognition Iris scanning Retina scanning Signature recognition and keystroke dynamics Vein pattern

DNA Ear Gait Multimodal Biometrics

COURSE OUTCOMES (ABET course outcomes) [UULO course outcomes]:Upon completion of this course, students should be able to:1. Understand the concepts of Probability, Continuous and Discrete Distribution (1,6) [1,2]2. Understand Fundamentals of Statistics, Hypotheses, Normal Distribution (1,6) [1,2]3. Become familiar with fundamentals of Pattern Recognition (1,6) [1,2]4. Understand basic classification algorithms (1,2)[1,2]5. Understand different types of Biometrics (1,5,7,4)[1,2,4,5]6. Become familiar with Multimodal Biometrics (4)[1,2,4,5]STUDENT OUTCOMES1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors3. An ability to communicate effectively with a range of audiences4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives6. An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.UULO COURSE OUTCOMES1. Intellectual Breadth and Lifelong Learning2. Inquiry and Critical Thinking3. Communication

4. Global/Multicultural Knowledge and Awareness5. Citizenship and EthicsCOMPUTER USAG:MATLAB

CLASS SCHEDULE:Lecture 3 hours per weekGRADING:Homework (15%), Test 1 (15%), Test 2 (15%), Term Paper (35%), Final (20%)COURSE SYLLABUS PREPARER AND DATES. Latifi 10/26/2019