The computer science seminar on seminal papers in AI will explore the foundational research that has shaped the field of artificial intelligence. Participants will engage with groundbreaking works that introduced key concepts, algorithms, and methodologies, such as neural networks, machine learning, natural language processing, and reinforcement learning. Through presentations and discussions, attendees will gain a deeper understanding of the historical context, innovative ideas, and enduring impact of these pivotal papers on modern AI developments and applications. The seminar aims to foster critical thinking and inspire new perspectives on the future direction of AI research.
As part of the course, the student will be exposed to all the development stages of an application or software package including: application design and development, interface design, algorithm implementation, architecture selection and database integration, methodology implementation, critical thinking, end-to-end development and testing, documentation and presentation, teamwork and project management.
This is a continuation course in which the student will be exposed to all the development stages of an application or software package, including: application design and development, interface design, algorithm implementation, architecture selection and database integration, methodology implementation, critical thinking, end-to-end development and testing, documentation and presentation, teamwork and management projects.