Course Number
16:137:563
Credits
3
Instructor's Profile
Semesters(s) Offered
Fall
Description
Gain both a conceptual foundation of AI-ML and the practical ability to apply those concepts in carefully curated lab workshops. No technical background is required. Gain deeper insight into the various algorithms, their tunable parameters, and their application in real-world scenarios from business and science. Learn when each algorithm should be used to achieve a business or a scientific goal.
Course Objectives
Upon completion of this course, you will be able to:
- Examine the fundamentals of Artificial Intelligence (AI): Gain a solid understanding of what AI is, its history, and its significance in today's world.
- Comprehend the different types of AI: Learn about various AI technologies, including machine learning, deep learning, natural language processing,
- computer vision, and expert systems.
- Explore the ethical implications of AI: Investigate the ethical considerations surrounding AI development and deployment, such as privacy, bias,
- transparency, and accountability.
- Review AI applications: Discover the diverse range of applications where AI is used, including healthcare, finance, transportation, marketing, and entertainment.
- And more!
Technical Skills
- Artificial Intelligence
- Machine Learning
Transferable Skills
Problem-Solving
Experiential Learning
- Experiment with these algorithms in a lab environment
- Guest lectures from industry experts