Artificial Intelligence and Machine Learning (AIM)
AIM 1000 — Introduction to Artificial Intelligence
Credit Hours: 3.00 Total Contact Hours: 4.00 Lecture Hours: 2.00 Lab Hours: 2.00
Introduces basic concepts and applications of artificial intelligence (AI), including AI project cycles. Focus on issues surrounding AI including ethics, bias, culture, regulations, and professional expectations.
Offered: Fall, Spring.
AIM 1010 — Maths for AI
Credit Hours: 3.00 Total Contact Hours: 3.00 Lecture Hours: 3.00
Discusses basic concepts and topics relevant to understanding mathematics' role in AI. This course will utilize statistics, linear algebra, probability, and basic calculus. The content correlates each of these topics with reference to their role in the AI Project Cycle.
Offered: Fall.
AIM 1100 — Introduction to Machine Learning
Credit Hours: 3.00 Total Contact Hours: 4.00 Lecture Hours: 2.00 Lab Hours: 2.00
Introduces machine learning concepts and Python applications, including data acquisition, supervised and unsupervised learning, and data modeling.
Offered: Fall
Prerequisites: AIM 1000, CPT 2350
Corequisites: MTH 1260.
AIM 2200 — Natural Language Processing
Credit Hours: 3.00 Total Contact Hours: 4.00 Lecture Hours: 2.00 Lab Hours: 2.00
Introduces the fundamental concepts in Natural Language Processing (NLP) and text processing. Focus on knowledge and skills necessary to create a language recognition application.
Offered: Spring
Prerequisites: AIM 1100
Corequisites: AIM 2220, AIM 2970.
AIM 2220 — Artificial Intelligence for Computer Vision
Credit Hours: 3.00 Total Contact Hours: 4.00 Lecture Hours: 2.00 Lab Hours: 2.00
Understands and applies the basic techniques to process images using OpenCV and Python libraries. Focuses on knowledge & skills necessary to apply AI in CV for common tasks like Image Classification and Object Detection.
Offered: Spring
Prerequisites: AIM 1100
Corequisites: AIM 2200, AIM 2970.
AIM 2970 — AIM Capstone
Credit Hours: 2.00 Total Contact Hours: 4.00 Lab Hours: 4.00
Focuses on how a social issue is explored, brought through the Artificial Intelligence (AI) Project cycle, and delivered as a solution using the different domains of AI, including computer vision and natural language processing.
Offered: Spring
Prerequisites: AIM 1000, AIM 1100, COM 1110
Corequisites: AIM 2200, AIM 2220.
AIM 2991 — AIM Field Experience
Credit Hour: 1.00 Total Contact Hour: 1.00 Lecture Hour: 1.00
Enables work activity which relates to an individual student's occupational objectives. With permission of a faculty advisor, the field experience replaces elective or required courses in a student's associate degree program. The experience is coordinated by a faculty member of the college who assist the student in planning the experience, visits the site of the experience for a conference with the student and his/her supervisor at least once during the semester and assigns the course grade to the student after appropriate consultation with the employer/supervisor.
Offered: Fall, Spring
Prerequisites: AIM 1000 and faculty advisor approval.