Course Details

Subject {L-T-P / C} : MN5002 : Computer Application in Mining { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Dr. Tushar Gupta

Syllabus

Module 1: Introduction to Computer Applications in Mining, Flowcharts, Algorithms, Basic of programming MATLAB

Module 2: Core Mine applications and Software, Mine planning and Design, Blasting design and management, Reserve/ Ore body estimations, Ventilation design and simulation,

Module 3: Basics of Slope Stability Analysis, Mathematical modelling and Numerical Simulations: LEM, deterministic and probabilistic approaches, sensitivity analysis, Introduction to numerical methods, types and concepts. Introduction to FEM, structural FEM basics and application,

Module 4: Fluid flow introduction and application, Simulations Water seepage in Slope, Tunnels, Subsidence, Pillar stability, , CFD. Introduction to other methods FDM, DEM, and BEM.

Module 5: Basic Statistics, Data representation and visualisation methods, Regression and curve fitting methods, MVRA, Residuals and Errors, Coefficient of Determination, Goodness of fit. Regression by Artificial Neural Networks basics and application. Basics of Fuzzy logic, Neuro Fuzzy Inference systems, Introduction to genetic algorithms. Soft computing using MATLAB

Course Objectives

Course Outcomes

CO1: Ability to comprehend and transform various mining problem and other practical engineering problems and challenges into computationally viable workflow and solutions. <br /> <br />CO2: An intermediate level understanding of the basics and application of various design and simulation techniques in mining and allied industrial perspective. <br /> <br />CO3: Developing competency of students in the basics and application of Statistics, Soft computing, Machine Learning and Artificial Intelligence

Essential Reading

Supplementary Reading