Mining Engineering • 3rd SemesterCore / Standard CurriculumChange Track

Mining Engineering — 3rd Semester Syllabus

Mining Engineering

Credits Allocation Table (L-T-P Structure)

Course Title	Code	L	T	P	Credits
Engineering Mathematics -III (PDE, Prob/Stat)	113301	3	1	0	4
Engineering Materials	113302	3	0	0	3
Basics of Mining Engineering	113303	3	0	0	3
Mining Environment-I	113304	3	0	0	3
Mining Geology	113305	3	0	0	3
Python Programming	113306	3	0	0	3
Universal Human Values	113307	3	0	0	3
Indian Knowledge System	113308	3	0	0	0
Mining Geology Lab	113305P	0	0	2	1
Python Programming Lab	113306P	0	0	2	1
Internship-I	113309	-	-	-	2
TOTAL	-	-	-	-	26

Engineering Mathematics -III (PDE, Prob/Stat)

113301

Theory Course • 6 Units

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Unit 1.0: Partial Differential Equations - I

Definition of Partial Differential Equations
First order partial differential equations
Solutions of first order linear PDEs
Solution to homogenous and non-homogenous linear partial differential equations of second order by complimentary function and particular integral method

Unit 2.0: Partial Differential Equations - II

Second-order linear equations and their classification
Initial and boundary conditions
D'Alembert's solution of the wave equation
Duhamel's principle for one dimensional wave equation
Heat diffusion and vibration problems
Separation of variables method to simple problems in Cartesian coordinates
The Laplacian in plane, cylindrical and spherical polar coordinates
Solutions with Bessel functions and Legendre functions
One dimensional diffusion equation and its solution by separation of variables

Unit 3.0: Probability - I

Probability spaces, conditional probability, independence
Discrete random variables, Independent random variables
The multinomial distribution
Poisson approximation to the binomial distribution
Infinite sequences of Bernoulli trials
Sums of independent random variables
Expectation of Discrete Random Variables
Moments, Variance of a sum
Correlation coefficient, Chebyshev's Inequality

Unit 4.0: Probability - II

Continuous random variables and their properties
Distribution functions and densities
Normal, exponential and gamma densities
Bivariate distributions and their properties
Distribution of sums and quotients
Conditional densities, Bayes' rule

Unit 5.0: Basic Statistics

Measures of Central tendency: Moments, skewness and Kurtosis
Probability distributions: Binomial, Poisson and Normal
Evaluation of statistical parameters for these three distributions
Correlation and regression
Rank correlation
Curve fitting by the method of least squares
Fitting of straight lines, second degree parabolas and more general curves

Unit 6.0: Test of Significance

Large sample test for single proportion, difference of proportions
Tests for single mean, difference of means, and difference of standard deviations
Test for ratio of variances
Chi-square test for goodness of fit and independence of attributes

Engineering Materials

113302

Theory Course • 6 Units

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Unit 1.0: Introduction to Engineering Material

Introduction
Classification of Engineering Materials
Structure of Metals and Alloys
Iron-carbon phase diagram

Unit 2.0: Heat Treatment of Iron & Steel

Different types of Steel
Properties and uses of Steel
Different types of Heat Treatment Techniques viz. Hardening, Annealing, Normalizing & Tempering
Uses in Mining Industry

Unit 3.0: Wire Rope

Types and Construction
Wire Rope Lays
Non-Stranded Ropes
Selection of Wire Ropes
Ropes used for different purposes
Mass & Strength of Wire Ropes

Unit 4.0: Construction Materials I

Types and uses
Cement: Classification & Properties
Quick Setting Cement
Resin Capsule
R.C.C.
Shot Encapsulization
Shotcreting etc

Unit 5.0: Construction Materials II

Brick & Stone Masonries
Hollow blocks
Application of Fly Ash in Mining

Unit 6.0: Engineering Behavior of Materials

Introduction
Stress-Strain Curves of typical Engineering Materials
Elastic and Plastic Deformation
Fracture, Fatigue and Creep

Basics of Mining Engineering

113303

Theory Course • 6 Units

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Unit 1.0: Exploratory Drilling

Drilling machines used for exploratory drilling viz. Rotary & Percussive, their attachments
Core Barrels
Conditions of applicability of drilling methods
Borehole Survey
Directional drilling
Underground methods of exploratory drilling

Unit 2.0: Drivage of Inclines/Drifts/Adits

Types of Openings
Selection of Openings
Location of Openings
Drilling, blasting, loading and transportation of muck during drivage of inclines, adits, drifts
Ventilation, lighting and drainage
Extension of centerline
Organization and cycle of operations
Mechanised methods of drivages of inclines, adits, drifts

Unit 3.0: Shaft Sinking

Drilling, blasting, loading and transportation of muck
Ventilation, lighting and drainage
Extension of center line
Shaft lining and its design
Special methods of shaft sinking
Shaft boring
Deepening and widening of shafts
Upward drivage
Organization and cycle of operations

Unit 4.0: Introduction to Underground Mining I

Definition of important terms
Mine development
Activities involved in the development of a mine
Stages in the life of a mine

Unit 5.0: Introduction to Underground Mining II

Introduction to unit operations in underground mining
Introduction to various Underground Mining methods
Selection of method of mining based on different conditions

Unit 6.0: Introduction to Surface Mining

Definition of important terms
Advantages and disadvantages of surface mining
Mineral deposits amenable to surface mining
Various surface mining methods
Introduction to unit operations in surface mining

Mining Environment-I

113304

Theory Course • 6 Units

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Unit 1.0: Mine Atmosphere

Composition of Mine Atmosphere
Mine Gases, their Origin, Occurrence, Physiological effects and Detection
System for Monitoring of Mine Environment by Tube bundle apparatus and Tele-monitoring systems with related Case Studies
Analysis of Mine air by Haldane Apparatus, Gas Chromatograph
Methane Drainage

Unit 2.0: Heat, Humidity and Dust

Heat and Humidity in Mine Atmosphere, Their Sources and Effects
Cooling Power of Mine Air
Assessment of Comfort Conditions
Heat Stress
Air Conditioning of Mines
Spot Coolers
Mine Dust: Classification and Physiological Effects
Measurement of Dust Concentration
Dynamics of Small Particles and its importance in mining
Sampling of Air Borne Dust
Prevention and Suppression of Dust

Unit 3.0: Theory of Ventilation

Objects and Standards of Ventilation
Flow of Air in Ducts and Mine Roadways
Resistance of Air Ways
Laws of Ventilation
Chezy's and Atkinson's Equations
Equivalent Resistance and Equivalent Orifice of Mine

Unit 4.0: Mine Ventilation and Ventilation Devices

Natural Ventilation Pressure and its Measurements
Thermodynamics of Natural Ventilation
Distribution and Control of Air Current
Doors, Regulators, Stopping and their Types
Air Crossings
Air Locks

Unit 5.0: Flame Safety Lamps

Constructional details of Flame Safety Lamp
Types of Portable Lamps, their Maintenance and Examination
Gas Testing by Flame Safety Lamp
Lamp Room Design and Organization

Unit 6.0: Mine Illumination

Lighting from Mains
Photometry and Illumination Surveys
DGMS Standards of Illumination for Underground and Open Cast Working

Mining Geology

113305

Theory Course • 6 Units

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Unit 1.0: Introduction to Geology

Geology: Definition, its branches, and scope emphasising mining engineering
Internal structure of the earth
The basic idea on Plate Tectonics
Brief study of important landforms

Unit 2.0: Introduction to Minerals

Minerals: Definition
Physical Properties of Minerals
Classification of Minerals
Study of important Rock-forming minerals concerning their physical properties
Significance of Rock-forming minerals

Unit 3.0: Petrology and Indian Geology

Rocks: Definition and types of rocks
Origin, Textures, Structures and Classification of Rocks
Petrographic Description of Common Rocks
Significance of Rocks
Standard Geological Time Scale
Brief on important Geological Units of India and their Economic significance

Unit 4.0: Structural Geology

Concept of Rock Deformation
Attitudes of strata: Dip and strike
Study of Unconformity
Folds, Joints, Faults and their Influence in Mining Operations
Concept of geological maps, its importance
Contours and important terminology used for map
Topography and its representations
Making a geological section from the Geological maps and its description

Unit 5.0: Economic Geology

Genetic Classification of Mineral Deposits and its Distribution and Morphology of Minerals Deposits
Mode of Occurrence, Origin, Distribution, Association and Industrial uses of important Metallic Minerals and Non-Metallic Minerals
Coal and Petroleum deposits of India

Unit 6.0: Prospecting and Exploration

Introduction: Prospecting and Exploration: their definitions and classification of methods
Methods and Guides: Elementary methods of Geological, Geophysical, and Geochemical prospecting
Guides to Ores: Ringed Targets, Intersection Loci, Physiographical, Mineralogical, Stratigraphical and Structural Guides to Ores

Python Programming

113306

Theory Course • 6 Units

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Unit 1.0: Basics Programming Syntax, Conditional and Iterative Statements

Procedure oriented vs. Object-Oriented approach of programming
Python character set, Python tokens, variables, concept of Lvalue and Rvalue, use of comments
Data types: number (integer, floating point, complex), Boolean, sequence (string, list, tuple), none, mapping (dictionary), mutable and immutable data types
Operators: arithmetic operators, relational operators, logical operators, assignment operator, augmented assignment operators
Expressions, statement, type conversion & input/output: precedence of operators, expression, evaluation of expression
Conditional statements: simple if statement, if-else statement, if-elif-else statement
Iterative statements: while loop, for loop, range function, break and continue statements, nested loops

Unit 2.0: String, List, Tuples, Set and Dictionary

String: indexing, string operations (concatenation, repetition, membership & slicing), traversing a string using loops, built-in functions
Lists: introduction, indexing, list operations: concatenation, repetition, membership & slicing, traversing a list, built-in list functions
Linear search on list of numbers and counting the frequency of elements in a list
Tuples: Creating, initializing, accessing elements, tuple assignment, performing operations on tuples, tuple methods and built-in functions, nested tuples
Set: Creating set, traversing, adding, removing data in set, performing set operations like join, Union intersection, difference
Dictionary: accessing items in a dictionary using keys, mutability of dictionary: adding a new item, modifying an existing item, built-in dictionary functions

Unit 3.0: Python Functions, Modules and Packages

Functions: types of function (built-in functions, functions defined in module, user defined functions)
Creating user defined function, arguments and parameters, default parameters, positional parameters
Lambda functions, returning value, scope of a variable: global scope, local scope
Modules and Packages: Importing module using 'import'
Regular Expressions, Exception Handling
PyPI Python Package Index, Pip Python package manager
Importing Libraries and Functions

Unit 4.0: Object-Oriented Programming (OOP)

OOPs Object oriented programming concepts and approach
Abstraction, encapsulation, class, object
Class method vs static method in Python
Class and static variable
Constructor and destructors in python
Inheritance: types of inheritance: single, multiple, multilevel, hierarchical
Polymorphism: Polymorphism with class method, polymorphism with inheritance, method overriding, overloading

Unit 5.0: Exception and File Handling in Python

Exception Handling: syntax errors, exceptions, need of exception handling, user-defined exceptions, raising exceptions, handling exceptions, catching exceptions
Try - except - else clause, Try - finally clause, recovering and continuing with finally
Built-in exception classes
File Handling: text file and binary file, file types, open and close files
Reading and writing text files, reading and writing binary files, file access modes

Unit 6.0: Data Analysis with Pandas

Pandas data structures: Series, Declaration, selecting elements, assigning values, Filtering values, operations, mathematical functions, evaluating values, handling missing data, creating series from dictionaries, adding two series
Data Frame: Defining, selecting elements, assigning values, membership, deleting a column, filtering
Index Objects: Indexing, Re-indexing, Dropping, sorting and ranking, Descriptive Statistics
Data Loading: Reading and Writing csv, xls, text data files
Data Cleaning and Preparation: Handling missing data, removing duplicates, replacing values
Vectorized String Methods, Hierarchical Indexing, Merging and Combining, Data aggregation and Grouping

Universal Human Values

113307

Theory Course • 6 Units

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Unit 1.0: Introduction to Value Education

Right Understanding, Relationship and Physical Facility (Holistic Development and the Role of Education)
Understanding Value Education Sharing about Oneself
Self-exploration as the Process for Value Education
Continuous Happiness and Prosperity: the Basic Human Aspirations
Exploring Human Consciousness, Happiness and Prosperity: Current Scenario
Method to Fulfill the Basic Human Aspirations

Unit 2.0: Harmony in the Human Being

Understanding Human being as the Co-existence of the Self and the Body
Distinguishing between the Needs of the Self and the Body
The Body as an Instrument of the Self
Understanding Harmony in the Self
Harmony of the Self with the Body
Programme to ensure self-regulation and Health

Unit 3.0: Harmony in the Family and Society

Harmony in the Family: the Basic Unit of Human Interaction
'Trust': the Foundational Value in Relationship
'Respect': as the Right Evaluation
Other Feelings
Justice in Human-to-Human Relationship
Understanding Harmony in the Society
Vision for the Universal Human Order

Unit 4.0: Harmony in the Nature/Existence

Understanding Harmony in the Nature
Interconnectedness, self-regulation and Mutual Fulfilment among the Four Orders of Nature
Realizing Existence as Co-existence at All Levels
The Holistic Perception of Harmony in Existence

Unit 5.0: Implications of the Holistic Understanding – a Look at Professional

Natural Acceptance of Human Values
Definitiveness of (Ethical) Human Conduct
A Basis for Humanistic Education
Humanistic Constitution and Universal Human Order
Competence in Professional Ethics
Holistic Technologies, Production Systems and Management Models: Typical Case Studies
Strategies for Transition towards Value-based Life and Profession

Unit 6.0: Competence in Professional Ethics

Holistic Technologies, Production Systems and Management Models: Typical Case Studies
Strategies for Transition towards Value-based Life and Profession

Indian Knowledge System

113308

Theory Course • 6 Units

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Unit 1.0: Introduction to Indian Knowledge Systems

Overview of IKS
Organization of IKS
Conception and constitution of knowledge in indian tradition
The oral tradition
Models and Strategies of IKS

Unit 2.0: Overview of IKS Domains

The vedas as the basis of IKS
Overview of all the six vedangas

Unit 3.0: Relevance in Current Technical Education System I

Relevance of following IKS domains in present technical education system: Arthashastra (Indian economics and political systems)
Ganita and Jyamiti (indian mathematics, astronomy and geometry)
Rasayana (indian chemical Sciences)

Unit 4.0: Relevance in Current Technical Education System II

Ayurveda (Indian Biological Sciences / Diet & Nutrition)
Jyotish Vidya (observational astronomy and calendar systems)
Prakriti Vidya (indian system of terrestrial/ material sciences/ecology and atmospheric sciences)

Unit 5.0: Relevance in Current Technical Education System III

Vastu Vidya (indian system of aesthetics-iconography and built-environment /architecture)
Nyaya Shastra (indian systems of social ethics, logic and law)

Unit 6.0: Shilpa and Natya Shastra

Shilpa and Natya Shastra (indian classical arts: performing and fine arts)
Sankhya and Yoga Darshna (indian psychology, yoga and consciousness studies)
Virkshayurveda (plant science/sustainable agriculture/food preservation methods)

Mining Geology Lab

113305P

Laboratory Subject • 1 Units

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Topics Part 1

Megascopic identification and description of Rock Forming Minerals.
Megascopic identification and description of important Rocks.
Practices on Basic Concept of Contours, Attitude of Beds, Width of Outcrop, True and Apparent Dips.
Study of ecological Maps, preparation and description of Geological Cross Sections.
Megascopic identification, description and distribution of Ore Forming Minerals and Industrial Minerals.
Plotting of important Mineral deposits / mine locations on map of India.

Prescribed Experiments

Megascopic identification and description of Rock Forming Minerals.
Megascopic identification and description of important Rocks.
Practices on Basic Concept of Contours, Attitude of Beds, Width of Outcrop, True and Apparent Dips.
Study of ecological Maps, preparation and description of Geological Cross Sections.
Megascopic identification, description and distribution of Ore Forming Minerals and Industrial Minerals.
Plotting of important Mineral deposits / mine locations on map of India.

Python Programming Lab

113306P

Laboratory Subject • 1 Units

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Topics Part 1

Experiment 1: a) Download and Install IDLE. Write and execute Python program to- b) Calculate the Area of a Triangle where its three sides a, b, c are given. s=(a+b+c)/2, Area=square root of s(s-a)(s-b)(s-c) (write program without using function) c) Swap Two Variables d) Solve quadratic equation for real numbers.
Experiment 2: Write and execute Python program to- a) Check if a Number is Positive, Negative or zero. b) Check whether the given year is a Leap Year. c) Print all Prime Numbers in an Interval. d) Display the multiplication Table based on the given input. e) Print the Fibonacci sequence. f) Find the Factorial of a Number.
Experiment 3: Write and execute Python program to- a) Check whether the string is Palindrome b) Reverse words in a given String in Python c) Identify in a strings the name, position and counting of vowels. d) Count the Number of matching characters in a pair of string (set) e) Python program for removing i-th character from a string
Experiment 4: Write and execute Python program to- a) Find largest number in a given list without using max(). b) Find the common numbers from two lists. c) Create a list of even numbers and another list of odd numbers from a given list. d) To find number of occurrences of given number without using built-in methods.
Experiment 5: Write and execute Python program to- a) Find the index of an item of a tuple. b) Find the length of a tuple. c) To reverse a tuple. d) Write a Python program to sort a list of tuple by its float element. Sample data: [('item1', '12.20'), ('item2', '15.10'), ('item3', '24.5')] Expected Output: [('item3', '24.5'), ('item2', '15.10'), ('item1', '12.20')]
Experiment 6: Write and execute Python program to- a) Create an intersection of sets. b) Create a union of sets. c) Create set difference. d) Check if two given sets have no elements in common.
Experiment 7: Write and execute Python program to- a) Write a Python script to concatenate two dictionaries to create a new one b) Write a Python script to merge two Python dictionaries. c) Write a Python program to combine two dictionary adding values for common keys. d1 = {'a': 100, 'b': 200, 'c':300} d2 = {'a': 300, 'b': 200, 'd':400} Sample output: d({'a': 400, 'b': 400, 'd': 400, 'c': 300})
Experiment 8: Write and execute Python program to- a) Write a Python function for reversing a string and call it. b) Write a Python function for calculating compound interest and call it. c) Write a Python function for calculating the factorial of a number and call it to calculate ln/(lr)*!(n-r)) where symbol '!' stands for factorial.
Experiment 9: Write program using OOP approach to – a) Create an instance of a specified class and display the namespace of the said instance. b) Create a Python class named Student with two attributes: student_id, student_name. Add a new attribute: student_class. Create a function to display all attributes and their values in the Student class. c) Create a Python class named Student with two instances student1, student2 and assign values to the instances' attributes. Print all the attributes of the student1, student2 instances. d) Write programs to demonstrate use of following types of inheritance: i. Single inheritance ii. Multiple inheritance iii. Multilevel inheritance e) Demonstrate use of polymorphism with following situations: i. Polymorphism in operator ii. Polymorphism in user defined method iii. Polymorphism in built-in function iv. Polymorphism with class method v. Polymorphism with method overriding
Experiment 10: a) Using exception handling feature such as try…except, try finally- write minimum three programs to handle following types of exceptions. i. TypeError ii. NameError iii. IndexError iv. KeyError v. ValueError vi. IOError vii. ZeroDivisionError b) Write Python program to demonstrate file operations.
Experiment 11: Working with a Series using Pandas a) Create a series using list and dictionary. b) Create a series using NumPy functions in Pandas. c) Print the index and values of series. d) Print the first and last few rows from the series.
Experiment 12: Working with Data Frame Rows a) Slicing Data Frame using loc and iloc. b) Filter multiple rows using isin. c) Select first n rows and last n rows. d) Select rows randomly n rows and fractions of rows (use df. sample method). e) Count the number of rows with each unique value of variables. f) Select alargest and nsmallest values. g) Order/sort the rows.
Experiment 13: Merge and combine data a) Perform the append, concat and combine first operations on Data Frames. b) Apply different types of merge on data. c) Use a query method to filter Data Frame with multiple conditions.

Prescribed Experiments

Experiment 1: a) Download and Install IDLE. Write and execute Python program to- b) Calculate the Area of a Triangle where its three sides a, b, c are given. s=(a+b+c)/2, Area=square root of s(s-a)(s-b)(s-c) (write program without using function) c) Swap Two Variables d) Solve quadratic equation for real numbers.
Experiment 2: Write and execute Python program to- a) Check if a Number is Positive, Negative or zero. b) Check whether the given year is a Leap Year. c) Print all Prime Numbers in an Interval. d) Display the multiplication Table based on the given input. e) Print the Fibonacci sequence. f) Find the Factorial of a Number.
Experiment 3: Write and execute Python program to- a) Check whether the string is Palindrome b) Reverse words in a given String in Python c) Identify in a strings the name, position and counting of vowels. d) Count the Number of matching characters in a pair of string (set) e) Python program for removing i-th character from a string
Experiment 4: Write and execute Python program to- a) Find largest number in a given list without using max(). b) Find the common numbers from two lists. c) Create a list of even numbers and another list of odd numbers from a given list. d) To find number of occurrences of given number without using built-in methods.
Experiment 5: Write and execute Python program to- a) Find the index of an item of a tuple. b) Find the length of a tuple. c) To reverse a tuple. d) Write a Python program to sort a list of tuple by its float element. Sample data: [('item1', '12.20'), ('item2', '15.10'), ('item3', '24.5')] Expected Output: [('item3', '24.5'), ('item2', '15.10'), ('item1', '12.20')]
Experiment 6: Write and execute Python program to- a) Create an intersection of sets. b) Create a union of sets. c) Create set difference. d) Check if two given sets have no elements in common.
Experiment 7: Write and execute Python program to- a) Write a Python script to concatenate two dictionaries to create a new one b) Write a Python script to merge two Python dictionaries. c) Write a Python program to combine two dictionary adding values for common keys. d1 = {'a': 100, 'b': 200, 'c':300} d2 = {'a': 300, 'b': 200, 'd':400} Sample output: d({'a': 400, 'b': 400, 'd': 400, 'c': 300})
Experiment 8: Write and execute Python program to- a) Write a Python function for reversing a string and call it. b) Write a Python function for calculating compound interest and call it. c) Write a Python function for calculating the factorial of a number and call it to calculate ln/(lr)*!(n-r)) where symbol '!' stands for factorial.
Experiment 9: Write program using OOP approach to – a) Create an instance of a specified class and display the namespace of the said instance. b) Create a Python class named Student with two attributes: student_id, student_name. Add a new attribute: student_class. Create a function to display all attributes and their values in the Student class. c) Create a Python class named Student with two instances student1, student2 and assign values to the instances' attributes. Print all the attributes of the student1, student2 instances. d) Write programs to demonstrate use of following types of inheritance: i. Single inheritance ii. Multiple inheritance iii. Multilevel inheritance e) Demonstrate use of polymorphism with following situations: i. Polymorphism in operator ii. Polymorphism in user defined method iii. Polymorphism in built-in function iv. Polymorphism with class method v. Polymorphism with method overriding
Experiment 10: a) Using exception handling feature such as try…except, try finally- write minimum three programs to handle following types of exceptions. i. TypeError ii. NameError iii. IndexError iv. KeyError v. ValueError vi. IOError vii. ZeroDivisionError b) Write Python program to demonstrate file operations.
Experiment 11: Working with a Series using Pandas a) Create a series using list and dictionary. b) Create a series using NumPy functions in Pandas. c) Print the index and values of series. d) Print the first and last few rows from the series.
Experiment 12: Working with Data Frame Rows a) Slicing Data Frame using loc and iloc. b) Filter multiple rows using isin. c) Select first n rows and last n rows. d) Select rows randomly n rows and fractions of rows (use df. sample method). e) Count the number of rows with each unique value of variables. f) Select alargest and nsmallest values. g) Order/sort the rows.
Experiment 13: Merge and combine data a) Perform the append, concat and combine first operations on Data Frames. b) Apply different types of merge on data. c) Use a query method to filter Data Frame with multiple conditions.

Internship – I

113309

Laboratory Subject • Course Details

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