Computer Science + Linguistics, BSLAS

for the degree of Bachelor of Science in Liberal Arts & Sciences in Computer Science + Linguistics

Computational Linguistics is an interdisciplinary field located at the intersection between machine learning and cognitive science, between artificial intelligence and the social sciences. The CS + Linguistics program provides students a strong background in computer science alongside rigorous training in the liberal arts. Recognizing the diversity of disciplines in the contemporary world, this program offers unique opportunities for an interdisciplinary education and prepares students for both careers in emerging industries and for graduate school. The degree is grounded in theory and in practice, ensuring that students meet and exceed industry standards. It brings together faculty interested in distinct aspects of the relationship between language and computation: from studying language as a cognitive system to developing models with human-like behavior to achieving natural language understanding in machines.

for the degree of Bachelor of Science in Liberal Arts & Sciences in Computer Science + Linguistics

Please see the computer science advisor as well as the linguistics advisor.

A Major Plan of Study Form must be completed and submitted to the LAS Student Affairs Office by the beginning of the fifth semester (60-75 hours).

General education: Students must complete the Campus General Education requirements including the campus general education language requirement.
Minimum required major and supporting course work: Normally equates to 66 hours. At least 12 hours of 300- and 400-level course work in the major must be taken on this campus.
Minimum hours required for graduation: 120 hours

Course List
Code	Title	Hours
Required Computer Science Coursework
CS 100	Computer Science Orientation (recommended; CS 100 is an orientation course aimed at first-year students, so students who declare the major after the freshman year are not required to complete it.)	1
CS 124	Introduction to Computer Science I	3
CS 128	Introduction to Computer Science II	3
CS 173	Discrete Structures	3
CS 225	Data Structures	4
CS 222	Software Design Lab	1
Choose one of the following combinations		8-11
CS 233 & CS 341	Computer Architecture and System Programming
OR
CS 340	Introduction to Computer Systems
& two CS courses at the 400 level above CS 403, excluding CS 421 and CS 491. These two courses must be distinct from all other courses used to fulfill program requirements or options.
Choose one of the following:
STAT 200	Statistical Analysis
STAT 212	Biostatistics
CS 361	Probability & Statistics for Computer Science
CS 374	Introduction to Algorithms & Models of Computation	4
CS 421	Programming Languages & Compilers	3
Mathematics (may also fulfill the General Education Quantitative Reasoning I and II requirements)
MATH 221	Calculus I	4-5
or MATH 220	Calculus
MATH 225	Introductory Matrix Theory	2 or 3
or MATH 257	Linear Algebra with Computational Applications
MATH 231	Calculus II	3
Required Linguistics Coursework - Minimum of 24 hours
LING 100	Intro to Language Science	3
LING 301	Elements of Syntax	3
LING 307	Elmnts Semantics & Pragmatics	3
LING 406	Introduction to Computational Linguistics	3
Advanced Coursework- select at least three of the following		9
TRST 415	Machine Translation: History and Applications
LING 490	Special Topics in Linguistics (Check with advisor for appropriate topics. May be repeated to meet this requirement if topics vary)
CS 446	Machine Learning
Linguistics Breadth Course		3
Any 200-level or higher Linguistics Course (with the exception of ESL and language courses)

for the degree of Bachelor of Science in Liberal Arts & Sciences in Computer Science + Linguistics

Sample Sequence

This sample sequence is intended to be used only as a guide for degree completion. All students should work individually with their academic advisors to decide the actual course selection and sequence that works best for them based on their academic preparation and goals. Enrichment programming such as study abroad, minors, internships, and so on may impact the structure of this four-year plan. Course availability is not guaranteed during the semester indicated in the sample sequence.

Students must fulfill their Language Other Than English requirement by successfully completing a fourth level of a language other than English. For more information see the corresponding section on the Degree and General Education Requirements page.

First Year
First Semester	Hours
Free Elective course	1
CS 100	1
LING 100	3
CS 124	3
Composition I or General Education course	4
Free Elective course	2
	14
Total Hours 14

First Year
Second Semester	Hours
CS 128	3
CS 173	3
200-400 level Linguistics Breadth course	3
MATH 220 or 221	4
General Education course or Composition I	3
	16
Total Hours 16

Second Year
First Semester	Hours
CS 222	1
CS 225	4
MATH 225 or 257	3
General Education course	3
Language Other Than English (3rd level)	4
	15
Total Hours 15

Second Year
Second Semester	Hours
STAT 200, 212, or CS 361	3
CS 233 or 340	3
MATH 231	3
General Education course	3
Language Other than English (4th level)	4
	16
Total Hours 16

Third Year
First Semester	Hours
CS 341 (or CS 400-level course)	4
LING 301	3
TRST 415	3
General Education course	3
General Education course	3
	16
Total Hours 16

Third Year
Second Semester	Hours
CS 374	4
CS 400-level course or Free Elective course	3
LING 307	3
General Education course	3
General Education course	3
	16
Total Hours 16

Fourth Year
First Semester	Hours
CS 421	3
LING 406	3
General Education course	3
Free Elective course	3
Free Elective course	2
	14
Total Hours 14

Fourth Year
Second Semester	Hours
CS 446	3
LING 490	3
Free Elective course	3
Free Elective course	2
Free Elective course	2
	13
Total Hours 13

Total Hours: 120

for the degree of Bachelor of Science in Liberal Arts & Sciences in Computer Science + Linguistics

Upon completion of the CS + Linguistics degree, students will be able to:

Analyze linguistic problems and identify relevant computational solutions.
Implement efficient computational models and demonstrate their adequacy.
Compare and assess the predictions of linguistic theories using empirical methods.
Synthesize findings across types, sources, and modalities of language data.
Examine the linguistic, social, and cognitive contexts in which models are used.

for the degree of Bachelor of Science in Liberal Arts & Sciences in Computer Science + Linguistics

CS + X Degree Information
CS + Linguistics Information
Linguistics Department website
Computer Science website