SYLLABUS - ECSE 305 Winter 2009 Probability and Random...

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ECSE 305 - Winter 2009 Probability and Random Signals I (3 cr.) Senate on January 29, 2003 approved a resolution on academic integrity, which requires that the following reminder to students be printed on every course outline: McGILL UNIVERSITY VALUES ACADEMIC INTEGRITY. THEREFORE ALL STUDENTS MUST UNDERSTAND THE MEANING AND CONSEQUENCES OF CHEATING, PLAGIARISM AND OTHER ACADEMIC OFFENCES UNDER THE CODE OF STUDENT CONDUCT AND DISCIPLINARY PROCEDURES (see for more information). General Information: Instructor: ± Prof. Benoît Champagne ± Office: McConnell Engineering Building, Room 756 ± Tel: (514) 398-5701 ± Email: benoit. [email protected] ± Office Hours: o o Otherwise by appointment Lectures: ± Tuesday and Thursday: 2:30 to 4:00pm ± Location: room ENGTR 1100 ± Lectures will start on Tuesday, January 6 th , 2009 Tutorials: ± There are two tutorial sections for this course: o CRN325 (Sec002): Friday, 2:30 to 4:00pm, ENGTR1080 o CRN326 (Sec003): Wednesday, 10:30 to 11:30am, ENGTR1090 ± The tutorials will begin during the second week of lectures. Teaching Assistants and Graders: ± The following TAs and Graders have been assigned to this course: Name Office Main Duty Email Saeed Abdallah MCxxx Tutorials [email protected] Chao Zhao MC751 Tutorials [email protected] Mahsa Derakhshani MCxxx Grading [email protected] Colm Elliott MC444 Grading [email protected] Siavash Rahimi MC751 Grading [email protected] Course Description: Prerequisite: B. champagne Page 1 1/10/2009
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± ECSE-303 (Signals and Systems I) or ECSE-306 (Fundamentals of Signals and Systems). ± No previous exposure to probability is assumed. Objectives: ± The course is intended as an introduction to the mathematical theory and applications of probability and random signals for students in electrical, computer and software engineering. It aims to develop fundamental concepts and methods of this field and, through a variety of examples, illustrate some of their applications. ± After successfully completing the course, students should be well prepared to take on more advanced courses in such fields as communications systems, artificial intelligence, computer network, control engineering and signal processing. List of Topics: Part I : Fundamental concepts (~9 hours) ± Introduction : Determinism and randomness in science, regularity and relative frequency, goals of probability, axiomatic approach. ± Background material : Review of set theory: terminology, set operations, and sigma-algebra. Combinatorial analysis: counting principles, permutations, combinations, related results. ± The probability model
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SYLLABUS - ECSE 305 Winter 2009 Probability and Random...

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