Vocational skill course · Economics · Semester 5 · TY BA · 2 credits · 50 marks · 30 hours
Module 1: Introduction to AI Tools for Economics and Finance
-
Meaning and scope of Artificial Intelligence, overview of AI, Machine Learning, and data analytics, relevance of AI in economics and finance, types of data used in economic and financial analysis, introduction to AI-based tools (spreadsheets with AI features, basic statistical and visualization tools, AI-assisted research platforms), applications of AI in economic analysis, policy studies, and market research.
Module 2: Practical Applications of AI in Finance and Economic Analysis
-
AI applications in financial forecasting, budgeting, and investment analysis, use of AI tools for trend analysis and demand forecasting, AI in banking, risk assessment, and credit analysis, AI-based data visualization and reporting, ethical issues and limitations of AI in finance and economics, prospects of AI-driven decision-making in economic and financial sectors.
References
-
1
Russell, S. & Norvig, P., Artificial Intelligence: A Modern Approach.
-
2
Economic Survey of India (Latest Edition).
-
3
OECD Reports on AI and Economic Analysis.
-
4
Varian, H.R., Intermediate Microeconomics (Data and analytics perspective).
-
5
Selected online resources and tutorials on AI tools for finance and economics.
