AI Luminaries
A curated collection of videos featuring top experts in artificial intelligence.
IIT Kanpur via NPTEL
Artificial Intelligence in Industrial and Management Engineering
Overview
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.
Syllabus 8
- 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
- Lecture 36: Facility Layout (Part 1)
- Lecture 37: Facility Layout (Part 2)
- Lecture 38: Facility Layout (Part 3)
- Lecture 39: Genetic Algorithm (Part 1)
- Lecture 40: Genetic Algorithm (Part 2)
- Lecture 41: Genetic Algorithm (Part 3)
Advantages and disadvantages
Advantages
- Taught by IIT and IISc professors, and it follows the Indian university syllabus closely.
- All videos and assignments are free on NPTEL and SWAYAM.
- The certificate is recognised by many Indian universities for credit transfer and by GATE aspirants.
- Great for GATE and semester exam preparation.
- Taught by Indian Institute of Technology Kanpur, one of the strongest names in its field.
- Completely free.
- Self-paced: start any time.
- A clear syllabus (8 parts) you can see before you start.
Disadvantages
- The certificate needs a proctored exam at a centre, which has a fee.
- Recorded classroom lectures: thorough, but slower than made-for-online courses.
- New runs start on fixed dates (January and July).
- Learning is free, but the certificate costs money.
Some points apply to every course of this kind; see how we rank.
Free to learn
- Free: Every video and assignment is free on NPTEL and SWAYAM. Enrol when the next run opens.
- Certificate: Optional. It needs a proctored exam at a centre, which has a fee.
Before you start
The student should have completed two semesters of UG Engineering or Science program.
Taught by
- Prof. Deepu Philip, Prof. Prabal Pratap SinghIIT Kanpur
Indian Institute of Technology Kanpur is in Tier 1: world-leading universities and India's top institutes of our institution ranking (95/100).
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