Computer Science Artificial Intelligence

Download as PDF

Artificial Intelligence (AI) is transforming nearly every industry, from healthcare and finance to cybersecurity, robotics, manufacturing, and education. The Computer Science Artificial Intelligence (CSAI) Degree prepares students with the technical knowledge and practical skills needed to develop intelligent software systems and understand the technologies shaping the future.

Students in the CSAI program build a strong foundation in computer programming, algorithms, data structures, and software development while exploring specialized topics such as machine learning, natural language processing, computer vision, and generative AI. Through hands-on projects, students learn to design, train, evaluate, and deploy AI models using modern programming languages and industry-standard tools.

Graduates will be prepared to:

  • Develop AI-powered applications and intelligent software solutions.
  • Analyze and interpret data using machine learning techniques.
  • Build and evaluate predictive models.
  • Understand the ethical and societal implications of artificial intelligence.

Degrees and Certificates

Courses

CSAI100M: Introduction to Artificial Intelligence

Theory Hours 2 Lab Hours 2 Credits 3

The future of our society is interwoven with the future of data-driven thinking, and AI plays a crucial part in reshaping all aspects of it

Review what AI is, how it evolved, and where it currently stands in its development

How AI impacts current technology, society, economy, and the political spheres

CSAI130M: Natural Language Programming

Theory Hours 3 Lab Hours 0 Credits 3

This course introduces students to the principles of natural language programming and the technologies that allow computers to interpret, generate, and interact through human language. Students explore text processing, tokenization, sentiment analysis, and the use of language models in real-world applications. The course emphasizes practical experience using prebuilt AI and NLP tools to build interactive systems such as chatbots and text classifiers, while examining the ethical and cultural implications of AI language use.