Elements of Artificial Intelligence (IT106)

This course serves as an introduction to the burgeoning field of artificial intelligence (AI) with a specific emphasis on machine learning (ML), the groundbreaking technology driving most recent innovations in the area. As digital transformations persistently reshape societal and economic infrastructures, it is increasingly crucial to develop a core understanding of AI. Through this course, students will gain this essential knowledge, exploring integral aspects of AI systems, learning about potential applications, grasping the key elements of AI prototyping, and developing an insightful understanding of the transformative role these technologies will play in the future work landscape and society at large.
Despite its subject matter, this course is not technically oriented. There will be no in-depth exploration of the algorithms that underlie these technologies, nor will there be significant engagement with the mathematics that forms the backbone of the underlying technology. Instead, the primary aim of this course is to cultivate a broader understanding of why and how these technologies are developed, their foundational components, their applications, and the implications they have on business operations as well as the future of society.

• To be able to define Artificial intelligence.
• To be able to understand AI technologies and its application for digital business development and societal development.
• To able understand main AI principles and its working elements.
• To be able to analyze societal and company problems and identify AI technologies to tackle them.
• Will be able to understand ethical considerations, bias, and the importance of regulation in the context of AI.
• Develop critical thinking ability and problem-solving skills through experiential learning.