Degree Level Course
Industry 4.0
To describe various facets of Industry 4.0, to connect questions raised by Industry 4.0 with appropriate data science techniques, to develop data science tools for Industry 4.0, and to build data-centric business models.
Course ID: BSCMS4001
Course Credits: 4
Course Type: Elective
Pre-requisites: None
Course structure & Assessments
12 weeks of coursework, weekly online assignments, 2 in-person invigilated quizzes, 1 in-person invigilated end term exam. For details of standard course structure and assessments, visit Academics page.
| WEEK 1 | Introduction to Industry 4.0 – Evolution and history |
| WEEK 2 | Pillars of Industry 4.0 |
| WEEK 3 | Industry 4.0 – India context |
| WEEK 4 | Supplier selection as a classification problem |
| WEEK 5 | Manufacturing 4.0 |
| WEEK 6 | Prognosis |
| WEEK 7 | Quality 4.0 |
| WEEK 8 | Inventory Optimization |
| WEEK 9 | Dynamic Pricing |
| WEEK 10 | Logistics 4.0 |
| WEEK 11 | Future of Manufacturing Business Focus on new paradigm |
| WEEK 12 | Next decade of Industry 4.0 |
About the Instructors
Other courses by the same instructor: BSCMS2002 - Business Analytics