﻿ GATE 2017 Mining Engineering Syllabus | GATE Syllabus 2017 | Graduate Aptitude Test in Engineering 2017 Mining Engineering Syllabus

Engineering Entrance Exam : GATE : GATE Mining Engineering Syllabus 2017

# GATE Mining Engineering Syllabus 2017

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GATE 2017 Mining Engineering ( MN ) Syllabus

Section 1 : Engineering Mathematics

Linear Algebra : Matrices and Determinants; Systems of linear equations; Eigen values and Eigen vectors.

Calculus : Limit, continuity and differentiability; Partial Derivatives; Maxima and minima; Sequences and series; Test for convergence; Fourier series.

Vector Calculus : Gradient; Divergence and Curl; Line; surface and volume integrals; Stokes, Gauss and Green’s theorems.

Differential Equations : Linear and non – linear first order ODEs; Higher order linear ODEs with constant coefficients; Cauchy’s and Euler’s equations.

Probability and Statistics : Measures of central tendency; Random variables; Poisson, normal and binomial distributions; Correlation and regression analysis.

Numerical Methods : Solutions of linear algebraic equations; Integration of trapezoidal and Simpson’s rule; Single and multi – step methods for differential equations.

Section 2 : Mine Development and Surveying

Mine Development : Methods of access to deposits; Underground drivages; Drilling methods and machines; Explosives, blasting devices and practices.

Mine Surveying : Levels and leveling, theodolite, tacheometry, triangulation; Contouring; Errors and adjustments; Correlation; Underground surveying; Curves; Photogrammetry; Field astronomy; EDM and Total Station; Introductory GPS .

Section 3 : Geomechanics and Ground Control

Engineering Mechanics : Equivalent force systems; Equations of equilibrium; Two dimensional frames and trusses; Free body diagrams; Friction forces; Particle kinematics and dynamics; Beam analysis.

Geomechanics : Geo – technical properties of rocks; Rock mass classification; Instrumentation and stress measurement techniques; Theories of rock failure; Ground vibrations; Stress distribution around mine openings; Subsidence; Rock bursts and coal bumps; Slope stability.

Ground Control : Design of pillars; Roof supporting systems; Mine filling.

Section 4 : Mining Methods and Machinery

Mining Methods : Surface mining : layout, development, loading, transportation and mechanization, continuous surface mining systems; Underground coal mining : bord and pillar systems, room and pillar mining, longwall mining, thick seam mining methods; highwall mining; Underground metal mining: open, supported and caved stoping methods, stope mechanization, ore handling systems.

Mining Machinery : Generation and transmission of mechanical, hydraulic and pneumatic power; Materials handling : haulages, conveyors, face and development machinery, hoisting systems, pumps, crushers.

Section 5 : Surface Environment, Mine Ventilation, and Underground Hazards

Surface Environment : Air, water and soil pollution : Standards of quality, causes and dispersion of contamination, and control; Noise; Land reclamation.

Mine Ventilation : Underground atmosphere; Heat load sources and thermal environment, air cooling; Mechanics of air flow, distribution, natural and mechanical ventilation; Mine fans and their usage; Auxiliary ventilation; Ventilation planning; Ventilation networks.

Subsurface Hazards : Mine Gases. Underground hazards from fires, explosions, dust and inundation; Rescue apparatus and practices; Safety in mines; Accident data analysis; Mine lighting; Mine legislation; Occupational safety.

Section 6 : Mine Economics, Mine Planning, Systems Engineering

Mine Economics : Mineral resource classification; Discounted cash flow analysis; Mine valuation; Mine investment analysis; Mineral taxation.

Mine Planning : Sampling methods, practices and interpretation; Reserve estimation techniques : Basics of geostatistics and quality control; Optimization of facility location; Work – study.

Systems Engineering : Concepts of reliability; Reliability of simple systems; Maintainability and availability; Linear programming, transportation and assignment problems; Network analysis; Inventory models; Queueing theory; Basics of simulation.