Course Description:

This module focuses on to develop an appreciation of the ideas underpinning different theories of knowledge of AI, Business Informatics (BI) and Expert Systems especially in Business domain; Compare alternative approaches to gain business value from knowledge management initiatives; and effective decision making through AI & Expert System for a particular organization in terms of its organizational past data, work culture, structure and business strengths

Learning Objectives:

By the end of this course scholars will be able to:

·       Demonstrate sophisticated information handling skills appropriate for professional practice in diverse environments

·       Understand how to achieve organizational objectives by creating, sharing and using AI and Expert systems in effective business information system designs

·       Understand contemporary issues, trends, innovations and forces for change in information analytics patterns to take successful decisions in the broader political, policy and technological contexts

·       Develop understanding of ethical practice and the ability to operate with integrity, rigor, self-reliance and cooperation in professional contexts

·       Demonstrate creative, critical, reflective problem-solving capabilities in the context of their professional roles and a commitment to lifelong learning, and

·       Demonstrate capabilities in planning and implementing a project.

·       Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.

·       Demonstrate proficiency developing applications in an 'AI language', expert system shell, or data mining tool.

·       Demonstrate an ability to share in discussions of AI, its current scope and limitations, and societal implications.