Academic Catalog

Computer Science/Information Technology, Associate in Applied Science - Artificial Intelligence Option

This career program prepares students for entry-level positions in a multitude of Artificial Intelligence careers to be utilized in a variety of industries including the medical, manufacturing, financial, and automotive industries. Artificial Intelligence careers include positions such as Data Analytics Engineer, Data Scientist, Machine Learning Specialist, Big Data Engineer and Software Development Professional. The curriculum has been designed to introduce the student to the study of Artificial Intelligence and expose the student to real-world applications where AI is utilized in the areas of Machine Learning, Computer Vision, Natural Language Processing and Neural Networks. The curriculum also includes courses in programming, math, social sciences and humanities. A graduate of the program will have a firm understanding of Artificial Intelligence, the AI Project Lifecycle, various Machine Learning Algorithms such as Supervised and Unsupervised Learning and the ability to construct a Neural Network and apply it to topics such as vision and language processing.

The department recommends the following minimal criteria for prospective students in the Computer Science/Information Technology program:

1. High school diploma or equivalent

2. Cumulative high school grade point average of C or above

3. Ranked in top half of high school graduating class

4. No developmental studies requirement

Plan of Study Grid
Freshman
First SemesterCredit Hours
ENGL 151 English I 3.00000
Mathematics/Science/Technology Gen. Ed. Requirement 3
CSIT 165 Programming I 4.00000
CSIT 191 Introduction to Artificial Intelligence 3
Humanities or Social Science Gen. Ed. Requirement 3
 Credit Hours16
Second Semester
ENGL 152 English II 3.00000
MATH 156 Introduction to Statistics 3.00000
MATH 201 Precalculus Techniques and Applications 4
CSIT 168 Introduction to Python Programming 2.00000
CSIT 213 Database Management 3.00000
 Credit Hours15
Sophomore
First Semester
MATH 265 Calculus I 4.00000
CSIT 192 Introduction to Machine Learning 3
Computer Science Elective 3
Any Gen. Ed. Requirement 4
 Credit Hours14
Second Semester
CSIT 292 Natural Language Processing 3
CSIT 291 Computer Vision 3
CSIT Elective 3
Any Gen. Ed. Requirement 4
Elective (to meet 60 credits) 2
 Credit Hours15
 Total Credit Hours60