This course is jointly offered by the
Faculty of Information Science & Technology (FIST)
Designed for future-ready graduates, the Artificial Intelligence track is created from the collaboration of three faculties. This track offers students the opportunity to explore artificial intelligence from both the technological and business perspectives. Students will gain insights into AI concepts, applications, and its role in digital transformation, supporting their readiness for innovation-led careers.
(Complete any 3 courses)
Artificial Intelligence (AI) refers to computer programs that mimic human intelligence to perform tasks such as visual perception, speech recognition, decision-making, and language translation. AI is a rapidly advancing field, increasingly being integrated into various industries. This course introduces the theory and applications of AI. You will learn the essential concepts and basic skills as well as the fundamental techniques in state space search, knowledge representation, automated reasoning, and machine learning. A foundational knowledge in AI will provide you an edge in the job market.
Artificial Intelligence (AI) is reshaping the world, driving innovation across industries and redefining how machines interact with humans. This course takes students on a transformative journey through the fundamentals and real-world applications. Beginning with Artificial Intelligence Fundamentals, students will explore the core differences between AI and Machine Learning, uncovering how neural networks—from simple architectures to deep learning models—power intelligent decision-making. They will also delve into supervised and unsupervised training, understanding how machines learn and evolve over time.
Moving beyond theory, Artificial Intelligence in Practice brings AI to life by examining its reasoning, knowledge representation, planning, communication, and perception capabilities. From optimization and classification to prediction, translation, and recognition, students will discover how AI mimics human intelligence to solve complex problems, understand the world, and make informed decisions.
Finally, Applications and Case Studies provide a hands-on exploration of AI in action. Students will engage with fuzzy logic for decision-making, dive into pattern recognition in speech and signals, and explore machine vision for image analysis and tracking. By the end of this course, students will not only understand AI’s theoretical foundations but also gain practical skills to design intelligent systems that shape the future.
This course helps business students to explore the transformative potential of generative AI in reshaping business strategies and creating competitive advantages.
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