The syllabus for Elective IV

The syllabus for Elective IV can vary widely depending on the institution and the specific course. Here are some common elective subjects and their typical topics:

1. Production Planning and Control

  • Unit I: Introduction
    • Objectives and benefits of planning and control
    • Functions of production control
    • Types of production: job, batch, and continuous
    • Product development and design
    • Standardization, simplification, and specialization
  • Unit II: Work Study
    • Method study and work measurement
    • Techniques of work measurement
    • Time study and production study
  • Unit III: Product Planning and Process Planning
    • Product planning and value analysis
    • Process planning and routing
    • Machine capacity and balancing
  • Unit IV: Production Scheduling

2. Geographical Information System (GIS)

  • Unit I: Introduction to GIS
    • Basic concepts and components of GIS
    • Data models and structures
  • Unit II: Data Acquisition and Management
    • Data sources and collection methods
    • Database management systems
  • Unit III: Spatial Analysis
    • Spatial data analysis techniques
    • Overlay and buffer analysis
  • Unit IV: Applications of GIS

3. Machine Learning

  • Unit I: Introduction to Machine Learning
    • Basic concepts and types of machine learning
    • Supervised vs. unsupervised learning
  • Unit II: Regression and Classification
    • Linear regression, logistic regression
    • Decision trees, support vector machines
  • Unit III: Neural Networks and Deep Learning
    • Basics of neural networks
    • Convolutional and recurrent neural networks
  • Unit IV: Clustering and Association

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