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.
- Teacher: Bhupesh Kumar Singh