Computer Science

This course teaches various algorithms and data structures. As the basis of computer science, it is one of the problems in the Fundamental Information Technology Engineer Examination and is a topic that frequently appears in recruitment (coding interviews) for software engineers.  

Students will be able to master computational concepts such as computational complexity and be able to implement algorithms. In addition, students will be able to design algorithms.

This examines the technical aspects of artificial intelligence from an ethical point of view and the many social and economic issues related to it. 

This course offers a study of interactive ecosystems. Topics include: human-centered informatics; paradigms, styles, and principles of interaction; design approaches; designing and prototyping of interactive ecosystems; evaluation.

This course covers the basic skills needed to create, examine, appreciate, and understand computational art. It covers basic programming skills in Python, experience using tools for live coding music, creating animations, and hands-on experience using generative AI technologies. Topics include strings, programs as files, semantics, functions; conditionals, Iteration, functions vs methods; lists, dictionaries, sets, reading and writing to files; audio programming, sequencing events in time, randomness, signal processing; animations, graphics, user interaction, performance considerations; and introduction to generative AI, stable Diffusion, and text processing. 

The course covers fundamental engineering and mathematical concepts for understanding the wired network technologies, internet architectures and protocols, and networking programming.

This course examines key theories, concepts and industry methods that are crucial to the user-centered design process.

This course explores digital marketing and search engine positioning including the role of web positioning in digital marketing and the mechanisms of Google. This course also covers Search Engine Optimization (SEO) and web analytics (on-site and off-site).

This course focuses on concepts that enable the integrated application of management, control, and development processes in the software development life cycle. Topics include: modern software development methodologies; software or service initial offer; software configuration management; quality management; feasibility analysis; software projects estimation, planning, analysis, and design techniques; tools to support management, control, and development processes.