Artificial Intelligence, an Option to the Associate in Applied Science in Computer Science
Program Description
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
Program Requirements
| Freshman | ||
|---|---|---|
| First Semester | Credit 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 Hours | 16 | |
| 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 Hours | 15 | |
| 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 Hours | 14 | |
| 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 Hours | 15 | |
| Total Credit Hours | 60 | |