ENROLL Course Search

NOTE: There are some inconsistencies in the course listing data - ITS is looking into the cause.

Alternatives: For requirement lists, please refer to the current catalog. For up-to-the-minute enrollment information, use the "Search for Classes" option in The Hub. If you have any other questions, please email registrar@carleton.edu.

Saved Courses (0)

Your search for courses for 17/FA found 2 courses.

Revise Your Search New Search

CS 111.02 Introduction to Computer Science 6 credits

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

CMC 102

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

Requirements Met:

Other Tags:

Synonym: 48880

Blake S Howald

This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111. Students may not simultaneously enroll for CS 108 and CS 111 in the same term.

Sophomore Priority.

Waitlist for Juniors and Seniors: CS 111.WL2 (Synonym 48883)

CS 322.00 Natural Language Processing 6 credits

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

Leighton 305

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

Requirements Met:

Other Tags:

Synonym: 48903

Blake S Howald

Computers are poor conversationalists, despite decades of attempts to change that fact. This course will provide an overview of the computational techniques developed in the attempt to enable computers to interpret and respond appropriately to ideas expressed using natural languages (such as English or French) as opposed to formal languages (such as C++ or Lisp). Topics in this course will include parsing, semantic analysis, machine translation, dialogue systems, and statistical methods in speech recognition.

Prerequisite: Computer Science 201 and either Computer Science 202 or Mathematics 236, or instructor permission

Search for Courses

This data updates hourly. For up-to-the-minute enrollment information, use the Search for Classes option in The Hub

Instructional Mode
Class Period
Courses or labs meeting at non-standard times may not appear when searching by class period.
Requirements
You must take 6 credits of each of these.
Overlays
You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
Special Interests