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NPTEL

Artificial Intelligence in Industrial and Management Engineering

NPTEL via Swayam

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Overview

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ABOUT THE COURSE: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.INDUSTRY SUPPORT: TCS, Accenture, Tech Mahindra, Capgemini India Pvt Ltd., Genpact.

Syllabus

Week 1:
  1. Introduction to AI
  2. Evolution of AI
  3. Latest advancements in AI
  4. Roles of AI in business
Week 2:
  1. Introduction to knowledge representation
  2. Introduction to logic
  3. Reasoning systems
  4. Advantages & Disadvantages of knowledge representation methods
Week 3:
  1. Basic architecture of expert systems
  2. Simple backward chaining expert systems
  3. Medical expert system case study – I
  4. Medical expert system case study - II
Week 4:
  1. Search algorithms
  2. Local search
  3. Solving puzzles
  4. Limitation of search techniques
Week 5:
  1. Introduction to NLP
  2. Processing stages in NLP
  3. Speech processing
  4. Applied NLP
Week 6:
  1. Machine learning basics
  2. Inductive learning
  3. Decision tress
  4. Neural Network
Week 7:
  1. Introduction to production scheduling
  2. Metaheuristics for scheduling
  3. Applied scheduling case study using metaheuristics – I
  4. Applied scheduling case study using metaheuristics - II
Week 8:
  1. Introduction to facility layout problems
  2. Metaheuristics for facility layouts
  3. Applied case study on facility layout – I
  4. Applied case study on facility layout - II

Taught by

Prof. Deepu Philip, Prof. Prabal Pratap Singh

Reviews

3.0 rating, based on 1 Class Central review

Start your review of Artificial Intelligence in Industrial and Management Engineering

  • Profile image for Midhat
    Midhat @midhat018
    This course provided an insightful look into the applications of AI in industrial and management engineering. I appreciated the coverage of topics like optimization, decision-making, and process automation & some business intelligence. However, much of the content was theoretical, and some sections discussed older technologies, such as expert systems, which are somewhat outdated. Overall, it offered a good foundation and valuable context for understanding AI in industrial settings.
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