The primary focus of this course is on optimization models. Optimization models are methods of arriving at optimal or near-optimal decisions for given managerial objectives under various constraints. The course objective is to acquaint students with the construction of mathematical models for managerial decision situations and use computer software packages (Excel, R, and Solver/Lindo) to obtain solutions and interpret them. The emphasis is on understanding the concepts and interpretation of the solution rather than on theoretical details, proofs, or derivations of results.
This course will try to help you think differently about data and its role in business decision making. Individuals, businesses firms, and governments agencies generate huge data during their daily operations. Increasingly, decision-makers are seeking intelligent technology to analyze these datasets systematically to make better decisions. This course covers different aspects of data science, analytics, and machine learning, learning of the data science and machine learning processes, basics of algorithms, & systems well enough to be expert data miners, consultants, etc. Different tools of machine learning are covered for business decision making with some real-world examples such as marketing, bank loan default, sales prediction and others.
This course offers a comprehensive overview of AI and its applications across various global industries. While it doesn’t delve into the intricacies of mathematical modeling, it covers the fundamental principles, methods, and techniques essential for AI solutions. The sessions will explore use cases from diverse sectors including industry, healthcare, utilities, government, and security/surveillance, providing a broad perspective on AI's impact. Though the course does not include detailed case studies, it is grounded in real-world AI applications in industry and society. An easy application using Python on Google-Colab for jupyter notebooks. Numerous articles from the from various sources and lecture notes
Course material - DSI006
The primary purpose of this course is to familiarize students with the core tools of game theory as well as a few ideas related to equilibrium subject to business problems. Throughout the duration of this course, we will investigate applications from a wide range of fields (ridesharing problem, price war, resource allocation, and telecom network license allocation) but also dig into some of the intriguing mathematics that forms the foundation of game theory. The first part of this course will provide an overview of Game Theory. After then, it moves on to games of strategy and comprehensive form, as well as games that include elements of business and society. After that, we will proceed to comprehending a few more subjects, concepts, and ideas pertaining to the mechanism design.