IS 620 - Applied AI in Business

(3 units)

This course explores the fundamental concepts of Artificial Intelligence (AI) and its applications in business. The course bridges the gap between theoretical AI concepts and practical applications by covering machine learning techniques, neural networks, deep learning models, and computer vision. Students will engage in a semester long hands-on project, discussions, and research that highlight the role of AI across industries.

Maximum units a student may earn: 3

Prerequisite(s): Registration in the Masters of Science in Information Systems (MSIS) Program

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Fall and Spring

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. explain fundamental AI concepts such as linear and logistic regression, neural networks, gradient descent, backpropagation, and model evaluation.
2. design, train, and evaluate AI models for different applications.
3. analyze and handle datasets effectively in AI experiments.
4. evaluate real-world AI-powered products and assess their feasibility in business environments.
5. describe ethical, cultural, financial, and technological implications of AI in business.
6. explore computer vision, particularly convolutional neural networks (CNNs), and their applications in business.
7. conduct AI-related research, critically analyze papers, and implement AI models based on scholarly work.

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