MPCS 50103 Mathematics for Computer Science: Discrete Mathematics (Summer 2016)

Section 1
Instructor(s) Brady, Geraldine (gb52)
Location Ryerson 276
Meeting Times Tuesday 5:30pm - 8:30pm
Fulfills Immersion Math


Course Description

This course in an introduction to discrete mathematics oriented toward 
computer science.  The course emphasizes mathematical proof and problem solving, employed on a variety of useful topics: logic; proof by induction; counting, factorials, and binomial coefficients; discrete probability; random variables, expected value, and variance; recurrences; graphs and trees; basic number theory; asymptotic notation, and rates of growth.

On completion of the course, students will have been trained to think about and absorb mathematical concepts, to solve problems requiring more than standard recipes, and express mathematical notions precisely. They will be able to use ideas and techniques from discrete mathematics in subsequent courses in computer science, in particular courses in the design and analysis of algorithms, networks, numerical methods, software engineering, data analysis, data mining, and machine learning.

Course Contents

Topics covered include: logic and proof; mathematical induction; modular arithmetic; basic counting, permutations, combinations, binomial theorem, pigeonhole principle, inclusion/exclusion; discrete probability spaces, conditional probability, independence, Bernoulli trials, Bayes's theorem, random variables, expected value, variance, geometric and binomial distributions; graphs and trees; recurrences, methods of solving simple recurrences, asymptotic notation, and the master theorem.


  • Lectures: Students are responsible for all material presented in lectures. 
  • Discussion sessions: Weekly discussion sessions are held on Saturdays. Students are responsible for all material covered at the discussion sessions.
  • Homework: Weekly homework assignments are assigned after class and due the following week at the beginning of class.
  • Exams: There are four quizzes (weeks 4, 5, 9, and 10), a midterm exam (week 6), and a final exam (week 11).  There will be no make-up exams.

Course grade

The course grade is based on homework, quizzes, and exams.
  • Homework: 5%.
  • Quizzes: 20% (5% for each of 4 quizzes).
  • Midterm examination: 25%.
  • Final examination: 50%.


Discrete Mathematics and its Applications (7th edition) (McGraw-Hill) by
Kenneth H. Rosen (ISBN 978-0073383095).

Web page
Course information, announcements, assignments, and supplemental material
can be found on the course web page:

Class Dates:
First class: Tuesday June 21
Lectures: Tuesdays 5:30–8:30 pm in Ryerson 276 
Last Class will meet Tuesday, August 23th, 5:30–8:30 pm
Final Exam — Tuesday August 30th, 5:30–8:30 pm
Problem-solving sessions: Saturdays 12:00 noon–2:00 pm in Ryerson 276 
* No session July 2nd, make-up problem session will be Thursday, June 30 5:30–7:30 pm



Course Prerequisites

Other Prerequisites

Only MPCS students can register for this course.

Overlapping Classes

This class is scheduled at a time that conflicts with these other classes:

  • MPCS 51026-1 -- Trading Systems Design