Computer Science, B.S. Artificial Intelligence Track

CIP Code: 11.0102

HEGIS Code: 0701

Artificial intelligence seeks to create computer systems that mimic tasks that have historically been the province of the human brain, such as visual perception and spatial awareness; physical coordination and balance; language acquisition and comprehension; and decision making. Machine learning systems typically accomplish this by sifting through vast quantities of data to find patterns that they can act upon. The courses in this track provide students with both a theoretical and practical understanding of these systems.

Computer Science Kernel

To ensure breadth and a solid foundation within the discipline, all students in the major must complete the entirety of the Computer Science Kernel.

Requirements for the Computer Science Kernel (18 credits):

CSIS - 110. Introduction to Computer Science 3 credit(s)
CSIS - 120. Software Development 4 credit(s)
CSIS - 210. Data Structures 4 credit(s)
CSIS - 225. Advanced Programming 3 credit(s)
CSIS - 385. Design and Analysis of Algorithms 3 credit(s)
CSIS - 411. Senior Seminar 1 credit(s)

Auxiliary (12-13 credits)*:

MATH - 110. Calculus I 4 credit(s) **
MATH - 120. Calculus II 4 credit(s)
OR
BAAS - 130. Business Mathematics 3 credit(s) ***
BAAS - 140. Quantitative Business Analytics 3 credit(s)
BAAS - 200. Business Statistics I 3 credit(s) ****
MATH - 250. Discrete Structures 4 credit(s)
* Students planning to complete the Artificial Intelligence, CS Education, or Game Development tracks must take MATH-110 and MATH-120.
** Placement into MATH-110 is made based on the results of a test administered by the Mathematics Department, and a Precalculus course may be required prior to taking MATH-110.
*** BAAS-130 has a prerequisite of BAAS-105, but that prerequisite can be waived by passing a placement exam administered by the School of Business during a semester’s registration period in order to place out of BAAS-105.
**** BAAS-200 has CSIS-011 or CSIS-010 or CSIS-SSX as one of its prerequisites in order to ensure some experience with spreadsheets before taking the course.

Artificial Intelligence Track

Requirements for the Artificial Intelligence Track (15 credits):

CSIS - 320. Machine Learning 3 credit(s)
CSIS - 370. Robotics 3 credit(s)
CSIS - 371. Information Retrieval 3 credit(s)
CSIS - 375. Introduction to Artificial Intelligence 3 credit(s)
SCDV - 480. Internship in Science 1-3 credit(s) OR
SCDV - 499. Independent Study in Science 0-3 credit(s)

Auxiliary (9 credits):

SCDV - 110. Introduction to Exploratory Data Analysis and Visualization 3 credit(s)
MATH - 220. Introduction to Data Mathematics 3 credit(s)
MATH - 230. Linear Algebra 3 credit(s)