COMPSCI70

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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

American Cultures Requirement

No

Reading and Composition Requirement

None of the Reading and Composition Requirement
Prerequisite
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 the 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

Outside Work Hours Min

9

Maximum Hours

9

Term

Summer

Duration (in weeks)

8

Minimum Hours

6

Maximum Hours

6

Minimum Hours

2

Maximum Hours

2

Outside Work Hours Min

14.5

Maximum Hours

14.5