Binghamton University Thomas J. Watson College of Engineering and Applied Science 10 courses
The Artificial Intelligence (AI) microcredential program will document a Binghamton University student’s completion of a formally organized suite of courses tailored to AI. The program will formally introduce students to the fundamental theories and methods of AI to a reasonable level, both in breadth and depth. The program offers two required courses as the foundation to AI: CS 565 Introduction to Artificial Intelligence and CS 536 Introduction to Machine Learning. Students who have taken these two required courses shall be equipped with the essential foundation of AI. In addition to these two required courses, students in this program are also required to take two electives out of a wide suite of the courses offered in the MS in Computer Science program related to AI, ranging from specific applications such as using machine learning techniques to address issues in social media to specific areas within AI such as computer vision, natural language processing, and robotics. The intent of the program is not to provide a comprehensive self-contained competency, but rather to provide students with the special attention to AI as a focus area, in the context of the existing MS in Computer Science program or existing professional practice, to help the students become well-prepared for the emerging era of AI.
Required Courses
Students in this program are asked to complete the two required courses:
| Code | Course Title | Credits |
|---|---|---|
| CS 565 | Intro to Artificial Intelligen | 3 |
| CS 536 | Intro to Machine Learning | 3 |
Elective Courses
In addition, students must also complete two electives from a wide suite of MS computer science courses related to AI, such as: CS 580, CS 581, and CS 680 Special Topics courses - Certain approved CS topics courses in an area such as Natural Language Processing.
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