CIS 105 - AI Fundamentals

Credit(s) 3.00
Lecture Hours: 3.00
This course provides a high-level introduction to the concepts, techniques, tools, and ethical considersations of Artificial Intelligence (AI). Students will explore the history and evolution of AI, gain an understanding of the core AI techniques such as machine learning, neural networks, and natural language processing, and work hands-on with popular AI frameworks, including TensorFlow and PyTorch, as well as cloud-based AI services. Ethical and societal implications of AI, including bias, fairness, and responsible AI practices, will be analyzed. Students will develop the ability to evaluate AI applications, implement small-scale models, and present AI-driven solutions to real-world problems. No

SLOs:
Upon successful completion of this course, students will be able to:

Explain the foundational concepts and historical development of Artificial Intelligence.
Identify and describe core AI techniques, including machine learning, neural networks, and natural language processing.
Demonstrate the ability to use AI tools and platforms such as TensorFlow, PyTorch, and cloud.