Undergraduate, Face to Face

This course is an introductory-level course on programming concepts and practices. It covers the basics of programming languages, including syntax, data types, control structures, and functions. Students will learn how to write programs in a high-level programming language and develop algorithms to solve computational problems. This course may cover a specific programming language such as Python or Java.

Undergraduate, Face to Face

This course focuses on the application of machine learning algorithms to natural language processing (NLP) tasks. Students will learn the basic principles of NLP, such as text classification, sentiment analysis, and machine translation, and how to apply machine learning algorithms to solve these tasks. They will also explore advanced topics in NLP, such as neural networks for NLP and deep learning approaches.

Undergraduate, Face to Face

This course is an introductory-level course on artificial intelligence (AI) and its applications. It covers the fundamentals of AI, including search algorithms, knowledge representation, machine learning, and natural language processing. Students will learn how to design and implement AI algorithms and systems, and explore the ethical and societal implications of AI.