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Your search for courses for 18/WI and in CMC 301 found 4 courses.

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CS 201.02 Data Structures 6 credits

Open: Size: 34, Registered: 23, Waitlist: 0

CMC 301

MTWTHF
3:10pm4:20pm3:10pm4:20pm3:30pm4:30pm

Requirements Met:

Synonym: 48911

Jed C Yang

Think back to your favorite assignment from Introduction to Computer Science. Did you ever get the feeling that "there has to be a better/smarter way to do this problem?" The Data Structures course is all about how to store information intelligently and access it efficiently. How can Google take your query, compare it to billions of web pages, and return the answer in less than one second? How can one store information so as to balance the competing needs for fast data retrieval and fast data modification? To help us answer questions like these, we will analyze and implement stacks, queues, trees, linked lists, graphs and hash tables. Students who have received credit for a course for which Computer Science 201 is a prerequisite are not eligible to enroll in Computer Science 201.

Prerequisite: Computer Science 111 or instructor permission

CS 254.00 Computability and Complexity 6 credits

Open: Size: 34, Registered: 22, Waitlist: 0

CMC 301

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm

Requirements Met:

Other Tags:

Synonym: 48915

Jed C Yang

An introduction to the theory of computation. What problems can and cannot be solved efficiently by computers? What problems cannot be solved by computers, period? Topics include formal models of computation, including finite-state automata, pushdown automata, and Turing machines; formal languages, including regular expressions and context-free grammars; computability and uncomputability; and computational complexity, particularly NP-completeness.

Prerequisite: Computer Science 111 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)

CS 321.00 Artificial Intelligence 6 credits

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

CMC 301

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am

Requirements Met:

Other Tags:

Synonym: 48917

Blake S Howald

How can we design computer systems with behavior that seems "intelligent?" This course will examine a number of different approaches to this question, including intelligent search computer game playing, automated logic, machine learning (including neural networks), and reasoning with uncertainty. The coursework is a mix of problem solving and computer programming based on the ideas that we discuss.

Prerequisite: Computer Science 201. Additionally Computer Science 202 is strongly recommended.

MATH 215.03 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 33, Waitlist: 0

CMC 301

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm

Requirements Met:

Other Tags:

Synonym: 49323

Adam Loy

Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have received credit for Mathematics 115 may petition the department to seek approval to register for Mathematics 215. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

Prerequisite: Not open to students who have already received credit for Math 115, Psychology 200/201, Sociology/Anthropology 239 or Math 275.

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