IT IT 202 Introduction to AI

This course provides a foundational understanding of AI concepts, terminology, and technology. Topics include the evolution, current state, and future of AI, the importance of data, Natural Language Processing, Computer Vision, Machine Learning, Deep Learning, AI Models, AI Ethics, and AI related jobs. Students will learn to examine external sources and utilize industry-produced educational resources to remain current in this rapidly advancing technology domain.

Credits

3

Prerequisite

C or Higher in IT 101 & MT 123

Notes

Course has been approved to be scheduled in the following modalities: Hybrid

Student Learning Outcomes

Upon successful completion of IT 202, students will have the ability to:

1. Illustrate basic AI concepts, terminology, and the evolution of AI technology.
2. Explain core AI technologies, including Natural Language Processing, Computer Vision, Machine Learning, and Deep Learning.
3. Evaluate the role of data in AI and its importance in AI models and applications.
4. Analyze ethical considerations in AI, including biases, privacy, and the societal impact of AI technologies
5. Investigate current AI trends and career opportunities by utilizing external resources.