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CS 202.00 Mathematics of Computer Science 6 credits

Closed: Size: 34, Registered: 31, Waitlist: 0

Location To Be Announced

MTWTHF
10:00am11:10am10:00am11:10am9:50am10:50am
Synonym: 58563

Eric C Alexander

This course introduces some of the formal tools of computer science, using a variety of applications as a vehicle. You'll learn how to encode data so that when you scratch the back of a DVD, it still plays just fine; how to distribute "shares" of your floor's PIN so that any five of you can withdraw money from the floor bank account (but no four of you can); how to play chess; and more. Topics that we'll explore along the way include: logic and proofs, number theory, elementary complexity theory and recurrence relations, basic probability, counting techniques, and graphs.

Prerequisite: Computer Science 111 and Mathematics 111 or instructor permission

CS 314.00 Data Visualization 6 credits

Closed: Size: 34, Registered: 30, Waitlist: 0

Location To Be Announced

MTWTHF
2:30pm3:40pm2:30pm3:40pm3:10pm4:10pm
Synonym: 58565

Eric C Alexander

Understanding the wealth of data that surrounds us can be challenging. Luckily, we have evolved incredible tools for finding patterns in large amounts of information: our eyes! Data visualization is concerned with taking information and turning it into pictures to better communicate patterns or discover new insights. It combines aspects of computer graphics, human-computer interaction, design, and perceptual psychology. In this course, we will learn the different ways in which data can be expressed visually and which methods work best for which tasks. Using this knowledge, we will critique existing visualizations as well as design and build new ones.

Prerequisite: Computer Science 201

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You must take 6 credits of each of these.
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You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
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