Course12710466441 lectures
Artificial Intelligence in Industrial and Management Engineering
Prof. Deepu Philip and Prof. Prabal Pratap Singh · IIT Kanpur
About
Artificial intelligence is actively enabling novel solutions in industrial and management sectors. This results in a significant increase in the demand for specialists who comprehend the principles underlying the technological systems that propel contemporary businesses. This course presents the foundational principles of many subdomains of artificial intelligence along with their applications. The course aims to serve as an introductory platform for students to explore artificial intelligence approaches. The course employs the Python programming language to illustrate and impart theoretical topics. The course motivates students to explore the diverse subdomains of AI according to their personal interests by offering ample resources at each stage.
Intended audience: Students of all Engineering and Science disciplines.
Prerequisites: The student should have completed two semesters of UG Engineering or Science program.
Lectures
Week 01
- Lecture 1: Basics of Business - I
- Lecture 2: Basics of Business - II
- Lecture 3: Basics of Business - III
- Lecture 4: Understanding Industrial Engineering
- Lecture 5: Relationship of IE with other Disciplines
Week 02
- Lecture 6: BI, Analytics, and AI: The Business Decision System
- Lecture 7: Business Intelligence
- Lecture 8: AI: The Abused Word in Business
- Lecture 9: K-Means Clustering Algorithm Explained
- Lecture 10: Knowledge Representation
Week 03
- Lecture 11: Backward Chaining Example
- Lecture 12: Logic
- Lecture 13: Expert System for Reasonable Reasoning (Part 1)
- Lecture 14: Expert System for Reasonable Reasoning (Part 2)
- Lecture 15: Expert System for Reasonable Reasoning (Part 3)
Week 04
- Lecture 16: Sorting and Searching
- Lecture 17: Other Searching Algorithm
- Lecture 18: Change goal: Visit all vertices on the graph
- Lecture 19: Implementing Depth-First Search
- Lecture 20: Greedy Best-First search
Week 05
- Lecture 21: Machine Learning Basics (Part-1)
- Lecture 22: Machine Learning Basics (Part-2)
- Lecture 23: Machine Learning Basics (Part-3)
- Lecture 24: Machine Learning Basics (Part-4)
- Lecture 25: Machine Learning Basics (Part-5)
Week 06
- Lecture 26: Neural Networks (Part-1)
- Lecture 27: Neural Networks (Part-2)
- Lecture 28: Neural Networks (Part- 3)
- Lecture 29: Natural Language Processing (Part – 1)
- Lecture 30: Natural Language Processing (Part – 2)
Week 07
- Lecture: 31 Natural Language Processing (Part-3)
- Lecture: 32 Natural Language Processing (Part-4)
- Lecture: 33 Natural Language Processing (Part-5)
- Lecture: 34 Introduction to Scheduling
- Lecture: 35 Scheduling
Week 08
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kanpur
- Department
- Multidisciplinary
- Taught by
- Prof. Deepu Philip, Prof. Prabal Pratap Singh
- Level
- Undergraduate
- Language
- English
- Subjects
- Computer science, Engineering, Business and management
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed