COMPSCI70

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COMPSCI 70 - Discrete Mathematics and Probability Theory

Electrical Engineering and Computer SciencesUndergraduateCOE - College of Engineering

Subject

COMPSCI

Course Number

70

Course Level

Undergraduate

Course Title

Discrete Mathematics and Probability Theory

Course Description

Logic, infinity, and induction; applications include undecidability and stable marriage problem. Modular arithmetic and GCDs; applications include primality testing and cryptography. Polynomials; examples include error correcting codes and interpolation. Probability including sample spaces, independence, random variables, law of large numbers; examples include load balancing, existence arguments, Bayesian inference.

Minimum

4

Maximum

4

Grading Basis

Default Letter Grade; P/NP Option

Method of Assessment

Written Exam

Instructors

Papadimitriou, Rao, Sinclair, Trevisan, Vazirani, Wagner

Prerequisites

Sophomore mathematical maturity, and programming experience equivalent to that gained in 3 or the Advanced Placement Computer Science A course.

Repeat Rules

Course is not repeatable for credit.

Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.

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Formats

Lecture, Discussion

Term

Fall and Spring

Duration (in weeks)

15

Minimum Hours

3

Maximum Hours

3

Minimum Hours

9

Maximum Hours

9

Term

Summer

Duration (in weeks)

8

Minimum Hours

6

Maximum Hours

6

Minimum Hours

2

Maximum Hours

2

Minimum Hours

14.5

Maximum Hours

14.5