Course Details

Subject {L-T-P / C} : MN5002 : Computer Application in Mining {3-0-0 / 3}
Subject Nature : Theory
Coordinator : Dr. Tushar Gupta

Syllabus

• Flow charts and Algorithm development
• Basic programming in C++, MATLAB,
• Core Mining applications and Software
? Mine Planning and Design:
? Blasting Design and Management
? Ore Body Estimation/ Reserve
• Numerical Simulations
? Concepts, Different Methods
? Introduction to LEM, FEM
§ slope stability analysis,
§ Tunnel stabilization
§ Subsidence analysis,
§ Pillar stability,
? Introduction to Fluid flow,
§ U/G ventilation modelling.
§ Fluid-Mechanical Coupling
? Other applications
§ Rock Fall
§ Discontinuity mapping
§ Kinematic Analysis
• Basics of RS and GIS, applications in Mining
? Digital image and details
? Spectra, spectral signatures
? DEMs and difference models
? Land categorization, waste/volume assessment,
? Slope movement monitoring and prediction
• Statistics and AI in Mining
? Regression, MVRA
? ML, ANN, ANFIS, GNN
Some Application, Data prediction, modeling

Course Objectives

  1. Understand basic concepts of various applications of computational techniques in mining scenarios
  2. Grasping the algorithm and methodologies for various simulation techniques applicable for various aspects of mining
  3. Developing aptitude to transform a mining problem or task into computationally viable workflow

Course Outcomes

A better understanding of solving practical problems in various aspects of mining operations using available technology and computational techniques.

Essential Reading

  1. Rao, Reddy and Mishra, Computer Applications in Mineral Industry, Allied Publishers
  2. SJ Morrison, Statistics for Engineering: An Introduction, Wiley

Supplementary Reading

  1. RocScience, Rocscience Web Resources, Online
  2. MATLAB, MATLAB Web Resources, Online