Spring 2023  CMPT 210 D100
Probability and Computing (3)
Class Number: 6513
Delivery Method: In Person
Overview

Course Times + Location:
Th 4:30 PM – 5:50 PM
AQ 3149, BurnabyFr 4:30 PM – 5:50 PM
SWH 10041, Burnaby 
Exam Times + Location:
Apr 21, 2023
7:00 PM – 10:00 PM
SSCC 9000, Burnaby

Instructor:
Sharan Vaswani
svaswani@sfu.ca

Prerequisites:
MACM 101, MATH 152, and MATH 240, all with a minimum grade of C.
Description
CALENDAR DESCRIPTION:
Probability has become an essential tool in modern computer science with applications in randomized algorithms, computer vision and graphics, systems, data analysis, and machine learning. The course introduces the foundational concepts in probability as required by many modern applications in computing.
COURSE DETAILS:
The course introduces the foundational concepts in probability as required by many modern applications in computing. It will give the students in Computing Science experience in: 1. Understanding the combinatorial nature of many computational problems. 2. Working knowledge of probability theory, with applications to computing (algorithms, machine learning, data analysis, etc.)
Topics
 Combinatorics: Permutations, Binomial coefficients, InclusionExclusion
 Basic probability theory: Independence, Conditional probability, Bayes' Theorem
 Basic probability theory: Random variables, Expectation, Linearity of Expectation, Variance
 Discrete distributions: Binomial and Geometric, Joint distributions
 Tail inequalities: Markov’s Inequality, Chebyshev’s Inequality, Chernoff Bound
 Applications: Verifying matrix multiplication, MaxCut, Machine Learning, Randomized QuickSort, AB Testing
 Continuous distributions (Introduction): Normal Distribution, Central Limit Theorem
Grading
NOTES:
There will be multiple assignments, midterms, and a final exam. The details will be discussed in the first week of classes.
Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C or better).
Materials
MATERIALS + SUPPLIES:
Reference Books
 Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, Sheldon M. Ross, 9780128243466
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/coursematerials/mypersonalizedcoursematerials.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s1001.html