Courses

The courses are broadly divided into eight subject areas, click on the subject to know subject and faculty details:

Course Levels

Some courses are of matriculation standard and they can be learnt by students who have completed at least class 9. The courses will be useful in their further courses of study or as extra knowledge.

Most of the courses are undergraduate level university courses. For such courses it is generally assumed that the applicants have had prior knowledge in the subject at the level of higher secondary school. However, bright and ambitious students who are presently studying in classes XI and XII may also apply. These courses will benefit those students who are undergoing undergraduate or post graduate studies. Students pursuing PhD may also find it useful to refresh their concepts taught at undergraduate and post graduate levels.

Course Structure

PHYSICS

1. Introduction to Mechanics

Title and instructor No. Days Level
Introduction to Mechanics
Keshwarjit, Asst. Prof, Physics Dept. at Imphal College, Imphal
09 Under Graduate

A brief description of course: This short course is designed to provide a review of what one learnt in undergraduate mechanics course. Participants will work on solving problems in small groups during the tutorial sessions. One main objective of this course is to develop a basic understanding of mechanics and the ability to apply it to everyday phenomena. Another objective is to imbibe the spirit of inquiry and scientific thinking among the participants

Prerequisites & Eligibility: Anybody who has completed higher secondary education with mathematics and physics as subjects is eligible to take this course. In addition, students in class XI or XII who have a keen interest in Physics and have knowledge of vector and calculus may also take this course. It would be advantageous to the participants to have knowledge of vector calculus beforehand.

Course contents:
  1. Vectors and kinematics - Motion in one and in several dimension, Motion In Plane Polar Coordinates.
  2. Newton's Laws: Newton's Laws of motion, Dynamics of a System of Particles, Center of Mass, Conservation of Momentum, Non-inertial Systems and Fictitious Forces, Friction, Uniform Circular Motion
  3. Work and Energy: The work-energy theorem, Energy diagrams, the general law of conservation of energy, Power, particle collisions.
  4. Angular Momentum And Fixed Axis Rotation: Angular Momentum of a Particle, Torque, Fixed Axis Rotation, Dynamics of Pure Rotation about an axis, Motion involving both Translation and Rotation, The Work-energy Theorem.
  5. Rigid Body Motion and The Conservation of Angular Momentum: Angular velocity and angular momentum, The gyroscope, Conservation of angular momentum;
  6. Angular Momentum of a Rotating Rigid Body: Angular Momentum and the Tensor of Inertia; Principal Axes; Rotational Kinetic Energy; Rotation about a Fixed Point.
  7. Gravitation: The Gravitational Force, Newton’s Law of Gravitation Kepler’s Laws, Central Force Motion
  8. The Harmonic Oscillator: Simple Harmonic Motion, Average Energy, Damped Harmonic oscillator, Undamped Forced Harmonic Oscillator; Resonance; Forced Damped Harmonic Oscillator, The Quality Factor Q.
  9. Classical Mechanics: Generalized co-ordinates, the principle of least action, Lagrangian for a free particle and for a system of particles,

Course Outcome:
After completion of the course, the participants will be able to

  1. Appreciate the role of vectors and coordinate systems in Physics.
  2. Understand and correctly interpret Newton’s laws of motion and apply them to simple configurations.
  3. See how fictitious forces arise in a non-inertial frame, e.g., why a person sitting in a merry-go-round experiences an outward pull and why winds deflect towards the right in the northern hemisphere and towards left in the southern hemisphere.
  4. Understand the conservation of energy, momentum, angular momentum and apply them to basic problems.
  5. Understand the motion of planets and other objects (like apples) under the influence of gravity.
  6. Understand the phenomena of Simple Harmonic Motion and the properties of systems executing such motions.
  7. Obtain some ideas about the foundations of Classical Mechanics

2. Introduction to Special Theory of Relativity

Title and instructor No. Days Level
Introduction to Special Theory of Relativity
Dr. Irom Ablu Meitei, Asst. Prof, Physics Dept at Modern College, Imphal
06 Under Graduate

A brief description of course: This course is designed to introduce the basic ideas of Special Theory of Relativity. It covers topics appropriate for undergraduate courses in Special Theory of Relativity.

Prerequisites & Eligibility: Minimum 10+2

Course contents:
  1. Frames of reference-
  2. Problems with classical physics
  3. The ether hypothesis and Michelson-morley experiment, its implications
  4. .4. Postulates of Special Theory of Relativity
  5. 5. Postulates of Special Theory of Relativity
  6. 6. Lorentz transformation and applications- length contraction & time dilation
  7. The twin paradox
  8. Space-time diagram
  9. Relativistic transformations of velocity, frequency & wave number
  10. Relativistic addition formula
  11. variation of mass with velocity
  12. Mass-energy equivalence
  13. Transformations of energy, momentum and force
  14. Aberrations & Doppler effect
  15. Four vectors
  16. Transformation of electric and magnetic fields-electro-magnetic field tensor

Course Outcome:
On successful completion of the course a student is expected to understand the important aspects of Special Theory of Relativity. He/ She will be able to appreciate the beauty of such a Special Theory.

3. Introduction to Quantum Mechanics

Title and instructor No. Days Level
Introduction to Quantum Mechanics
Dr. Oinam Babynanda Devi, Assoc. Prof, Physics Dept MTU, Imphal
09 Under Graduate

A brief description of course: This course of Quantum mechanics will focus on theory/formalism of quantum mechanics and its related problem solving where the emphasis is on application. This course begins with mathematical tools like Dirac delta functions, Hermite polynomials etc. Then failure of classical mechanics and establish the need of a new approach. After that we will discuss the formal foundations of Quantum Mechanics and deal with exact solution of Schrodinger equation when applied to various simple potentials. Then this course will include scattering problems and measurement in quantum mechanics. The growth of material science and its technological applications have been possible due to the understanding of the phenomena which exhibit non-classical properties. So it is necessary in any course of teaching physics to introduce the concept of Quantum mechanics.

Prerequisites & Eligibility: Undergraduate with physics and mathematics background

Course contents:
  1. Mathematical preliminaries- Dirac Delta function, Fourier Transforms, Hermite polynomials
  2. Wave particle duality- Two slit interference with electrons, De Broglie Relation, Photoelectric effect, Compton Effect, Electron diffraction, Bragg’s law and Davisson & Germer experiment
  3. Time dependent Schrodinger equation, physical interpretation and conditions on the wave function, probability current density, expectation values and Ehrenfest ‘s theorem,
  4. Proof and statement of uncertainty principle
  5. Eigen functions and the orthogonality condition,
  6. Bound state problems- Particle in a one dimensional infinitely deep potential well, Particle in a three dimensional infinitely deep potential well
  7. Physical interpretation of eigenvalues, eigenfunctions and expansion coefficients.
  8. Scattering problems- Potential step- reflection and transmission coefficients, rectangular potential barrier- reflection and transmission coefficients, Tunnelling phenomena- tunnel diode, theory of alpha decay.
  9. Quantum mechanical harmonic oscillator problem, energy eigen values and eigen functions. Algebraic method using ladder operators
  10. Measurement in quantum mechanics- Stern Gerlach Experiment, Uncertainties and Measurements- electron microscope, Measurements, Observables, and the uncertainty relation, Schrodinger’s cat and interpretations of quantum mechanics

Course Outcome:

  1. Understand and explain the historical aspects of development of quantum mechanics.
  2. Explain the role of photons in understanding phenomena such as the photoelectric effect and Compton scattering etc.
  3. Understand the idea of wave function and the uncertainty relations.
  4. Be able to independently solve the Schrödinger equation for simple one-dimensional systems and three dimensional -- the ones explicitly taught (e.g. particle in box, harmonic oscillator, potential barrier).
  5. Gain a basic understanding of scattering problems and measurement in quantum mechanics.

MATHEMATICS

1. Real Analysis I

Title and instructor No. Days Level
Real Analysis I
Yumnam Bembem, Asst. Prof, Maths Dept MTU, Imphal
06 Under Graduate

A brief description of course: This course aims at introducing some of the most important and also fascinating ideas in all of mathematics namely limit, continuity and differentiability of functions. Only functions of single variable will be discussed in this course as it is an introductory course. Precise technical definitions as well as informal and intuitive ideas will be discussed to give the participants a feeling for its meanings.

Prerequisites & Eligibility: Participants are expected to have learned atleast higher secondary mathematics.
But the most important thing expected is “love for mathematics and an earnest desire to learn it”

Course contents:
  1. Limit and continuity; indeterminate form
  2. Differentiation of functions
  3. Successive differentiation
  4. Maxima and minima
  5. Mean value theorems and Taylor’s theorem

Course Outcome:

  1. Clearer concepts of the topics taught
  2. Enhancement of problem solving capacity
  3. As analysis provides a solid theoretical background for any other branch of mathematics, the participants will be able to excel in other areas of mathematics indirectly through this course.

2. Real Analysis II

Title and instructor No. Days Level
Real Analysis II
Yumnam Bembem, Asst. Prof, Maths Dept MTU, Imphal
05 Under Graduate

A brief description of course: This is an extension of the first course. Limit and continuity of several variables will be studied. Integration will also be introduced. Concepts of improper integrals, partial derivatives and many more will be discussed.

Prerequisites & Eligibility: : Participants are expected to have learned alteast higher secondary mathematics and clear ideas about limit, continuity and differentiability of single variable and a love for the subject (compulsory)

Course contents:
  1. Limit and continuity; indeterminate form
  2. Differentiation of functions
  3. Successive differentiation
  4. Maxima and minima
  5. Mean value theorems and Taylor’s theorem

Course Outcome:

  1. Integration of function
  2. Improper integrals
  3. Limit and continuity for functions of two variables
  4. Partial derivatives- gradient, divergence and curl
  5. Taylor’s theorem
  6. Young’s and Schwarz theorem Maxima and minima; language multipliers

3. Vector Analysis

Title and instructor No. Days Level
Vector Analysis
W. Malemnganba Chenglei, Registrar, MTU, Imphal
05 Under Graduate

A brief description of course: This is an intense course in vector analysis. Vectors appear frequently in various branches of physics and engineering- mechanics, electromagnetic theory, fluid mechanics, theory of elasticity etc. A proper understanding of vector analysis is essential for further studies in physical sciences and engineering. Since, this is an intensive course, the topics will be covered at a fast pace but rigorously. The participants are expected to attend all the lectures and tutorials and work out the problems by themselves. One of the objectives of this course is to enhance the problem solving skills in vector analysis. This course will be useful to students of physics and engineering. Ambitious students who have completed higher secondary education and are thinking of expanding their knowledge about vectors calculus can apply to this course.

Prerequisites & Eligibility: : It is essential that intending candidates have learnt about vectors and introductory level calculus such as higher secondary level mathematics before applying to this course. Students and others who have completed higher secondary education with mathematics as a subject are eligible to apply for this course. However, ambitious students with previous exposure in differential and integral calculus who are studying in class XI and XII may also apply.

Course contents:
  1. Introduction- Vector addition
  2. The algebra of vectors- Scalar & Vector product
  3. Geometrical & physical applications- Equation of a line, Equation of plane
  4. Vector Differentiation and integration
  5. Applications to mechanics-
  6. Vector integration: Line integration, Surface integration, Volume integration.
  7. Gradient, Divergence and Curl; Physical interpretation of divergence & curl
  8. Use of Cylindrical coordinates and Spherical coordinates in evaluation of integrals
  9. Divergence Theorem- interpretation and applications
  10. Stokes Theorem- interpretation and applications
  11. Green’s Theorem- interpretation and applications
  12. Related vector identities

Course Outcome:
After completing the course, the students’ ability to handle vector differentiation, integration, vector identities involving divergence and curl will be enhanced. They will also find more comfortable in evaluating multiple integrals involving cylindrical and spherical coordinate systems and also by using Divergence Theorem and Stoke’s Theorem. They will have a solid foundation in vector calculus and find less difficulty in studying electromagnetic theory, classical mechanics or fluid mechanics etc.

4. A short course in Number Theory

Title and instructor No. Days Level
A short course in Number Theory
Shanta Laishram, Assoc. Prof, Mathematics Dept , Indian Statistical Institute, Delhi
06 Under Graduate

A brief description of course: Number Theory is one of the important areas of Mathematics and has lots of applications including in Cryptography, the science of secure communication. In this course, we plan to introduce the basics of number theory.

Prerequisites & Eligibility: : There are no formal prerequisites for the course. But a basic knowledge of mathematics upto 10+2 is expected. Also some familiarity with proofs will be helpful as we plan to have a number of proofs in lectures and tutorials. However, if you aren’t used to mathematical proofs, don’t worry! You will hopefully pick up these skills during the course.

Course contents:
  1. Introduction: Algebraic Operations With Integers; The Well Ordering Principle and Mathematical Induction; The function bxc, the symbols O, o and ∼;
  2. Divisibility and the Division Algorithm; Representations of Integers in Different Bases; Binomial Coefficients;
  3. The Greatest Common Divisor and Euclidean Algorithm and extensions;
  4. Prime Numbers and The Fundamental Theorem of Arithmetic; Least Common Multiple; Theorems and Conjectures involving prime numbers;
  5. Linear Diophantine Equations;
  6. Congruences: Introduction to congruences; Residue Systems and Euler’s ϕ Function; Linear Congruences; The Chinese Remainder Theorem; Theorems of Fermat, Euler, and Wilson; Applications;
  7. Multiplicative Number Theoretic Functions: Definitions and Properties; The Mobius µ Function and the Mobius Inversion Formula; Perfect, Mersenne and Fermat Numbers;
  8. Primitive Roots: The order of Integers and Primitive Roots; Primitive Roots for Primes and the Existence of Primitive Roots; Quadratic Residues: Introduction to Quadratic Residues and Nonresidues; Legendre Symbol; Gauss’s Theorem; The Quadratic Reciprocity Law and applications; Jacobi Symbol;
  9. Introduction to Number Theoretic Cryptography

Course Outcome:
After attending this course, you will be able to effectively express the concepts and results of Number Theory and introduce you to the notion of how mathematical proofs work and how research problems come up in Number Theory in general and mathematics in particular. In particular, you will be able to understand the logic and methods behind the major proofs in Number Theory and how you collect and use numerical data to form conjectures about the integers.

PROGRAMMING

1. Machine Learning

Title and instructor No. Days Level
1. Machine Learning
Jimmy Laishram, Asst. Prof, Computer Science and Engg Dept at MTU, Imphal
09 Under Graduate

A brief description of course: Machine leaning is the science of making computers act without explictly programmed.In todays world, machine learning is applied to area such as speech recognition, web search, understanding human genome etc. In this class, we will learn the most effective machine learning techniques and gain practice implementing them and getting to work for yourself.

Prerequisites & Eligibility: : Knowledge of any programming language is expected and some basic knowledge of 10+2 mathematics is required.

Requirement: Participants are required to bring their own Laptops.

Course contents:
  1. Introduction to Machine Learning: What is Machine Learning, Supervised Learning, Unsupervised Learning
  2. Linear Regression with Multiple Variable: Multiple Features, Gradient Descent for multiple variable, Feature Scaling, Learning Rate,Features and Polynomial Regression,Normal Equations,Normal Equation noninvertibility
  3. Logistic Regression: Classification and Representation: Classification, Hypothesis Representation, Decision Boundary,Logistic Regression Model: Cost Function, Simplified Cost Function and Gradient Descent, Advanced Optimization,Multi-class Classification: Multi-class Classification- One Vs all,Regularization: The Problem of Overfitting, Cost Function, Regularized Linear Regression, Regularized Logistic Regression
  4. Neural Networks: Representation: Non Linear Hypothesis, Neurons and Brain, Model Representation 1, Model Representation 2, Application, Multiclass Classification
  5. Neural Network: Learning: Cost Function, Back Propagation, Gradient Checking, Random Initialization, Application of Neural Networks
  6. Support Vector Machines: Optimization Objective, Large Margin, Mathematics behind large margin classification, Kernel I, Kernel II
  7. Unsupervised Learning: Clustering: Introduction, K means algorithm, Optimization Objective, Random Initialization, Choosing the number of cluster
  8. Anomaly Detection: Density Estimation: Problem Motivation, Gaussian distribution, Algorithm, Building an Anomaly detection System: Developing and evaluating an anomaly detection system, Anomaly system using a multivariate Gaussian distribution
  9. Large Scale Machine Learning: Gradient descent with large scale Dataset, Stochastic Gradient descent, Mini-batch Gradient Descent, Stochastic Gradient descent convergence, Application of Machine Learning

Course Outcome:
After this course, students will learn how to recognize a machine learning problem and what method to be applied to obtain an effective result while predicting a solution. They will also learn the basics of OCTAVE programming, a AI programming tool.

2. Python

Title and instructor No. Days Level
Python
Jimmy Laishram, Asst. Prof, Computer Science and Engg Dept at MTU, Imphal
09 Under Graduate

A brief description of course:

Prerequisites & Eligibility: :

  1. Knowledge of basic C programming language
  2. Undergraduate

Requirement: Participants are required to bring their own Laptops.

Course contents:
  1. Introduction to Python Programming: Keywords & Identifier, Statements & Comments, Python Data types, Python I/O and Import, Python Operators, Operator Precedence
  2. Python Flow Control: Python if...else, Python for Loop, while Loop, break and continue, Pass Statement, Looping Technique
  3. Python Functions: Python Function, Function Argument, Python Recursion, Anonymous Function, Python Modules, Python Package
  4. Native Data types: Python Numbers, Python List, Python Tuple
  5. Python String, Python Set, Python Dictionary
  6. File Handling: File Operation, Python Directory, Python Exception, Exception Handling, User-defined Exception
  7. Object and Class: Python Namespace, Python Class, Python Inheritance, Multiple Inheritance, Operator Overloading

Course Outcome:
Students/learners will be able to execute python programs easily.

3. Android

Title and instructor No. Days Level
Android
Jimmy Laishram, Asst. Prof, Computer Science and Engg Dept at MTU, Imphal
05 Under Graduate

A brief description of course: Android is the leading mobile Operating System. Being able to create an application is an advantage to the growing youths. This course will teach the basic know-how to create an android application in no time.

Prerequisites & Eligibility: :

  1. Java Programming knowledge is a must for this course
  2. Undergraduate

Requirement: Participants are required to bring their own Laptops.

Course contents:
  1. Android Basics: Home, Overview, Environment Setup, Architecture Application, Component
  2. Hello World Example, Resources, Activities, Services
  3. Broadcast Receivers, Content Providers
  4. Fragments, Intents/Filters
  5. Android UI: UI Layout, UI Controls, Event Handling, Styles and Themes, Custom Components
  6. Practice Session

Course Outcome:
Students will be able to create android application with this basic knowledge.

4. MATLAB /Octave Programming

Title and instructor No. Days Level
MATLAB /Octave Programming
Jimmy Laishram, Asst. Prof, Computer Science and Engg Dept at MTU, Imphal
06 Under Graduate

A brief description of course: Matlab is a powerful mathematical calculating software mostly used in signal analysis and Artificial Intelligence. This course will enrich students with the basic idea of computational operation in matlab.

Prerequisites & Eligibility: : Basic programming knowledge and 10+2 mathematics.

Requirement: Participants are required to bring their own Laptops.

Course contents:
  1. Introduction to Matlab: Introduction, Environment, Basic Syntax and Semantics, Plotting
  2. Matrices and Operators: Introduction, The colon operator, Accessing parts of a Matrix, Combining and transforming matrices, Operator precedence
  3. Functions: Introduction, Function I/O, Sub functions, Scope, Scripts, Problem Solving
  4. Programmer’s Toolbox: Introduction, Matrix Building, Input/Output, Plotting, Debugging
  5. Selection: Selection, If-statements, continued; Relational and Logical Operators, Nested if-statements, Variable number of function arguments, Robustness, Persistent variables
  6. Loops: For, While, Break statements, Logical Indexing, Preallocation
  7. Datatypes: Datatypes, Strings, Struct, Cells
  8. File I/O: File input/output, Excel File, Text File, Binary File
  9. Practice session

Course Outcome:
Students will be able to perform matrix operations, plot data etc using MATLAB.

LANGUAGE STUDIES

1. Functional English

Title and instructor No. Days Level
Functional English
Dr. Lourembam Iboyaima Singh.Asst Prof. Department of Humanities, MTU, Imphal
06 Under Graduate, Postgraduate

A brief description of course: The aim of this course is to enable students and professionals like to face the challenges in communicating in English confidently and efficiently in all the aspects of communication (speaking, listening, writing and reading). The students will also be trained in soft skills, non-verbal communication skills, etc. A number of strategies will be provided to enhance the efficiency and effectiveness of communication in varied situations.

Prerequisites & Eligibility: :

  1. Should have working knowledge of English.
  2. Class 9 +

Course contents:
  1. Elements of language and communication
  2. Fundamentals of phonetics and Phonology
  3. Constituents of written communication
  4. Presentation Skills and Professional communication
  5. Negotiation & Interview Skills

Course Outcome:
By the end of the course candidates would achieve effective language proficiency and adequate argumentative skills for their social, professional and interpersonal communication. They will develop, integrate and demonstrate key abilities in utilizing non-verbal communication skills like Kinesics and Paralinguistic variables in the process of communication. They will also develop presentation skills to confidently participate in Official/Public Speaking.

2. Korean Language: Beginner’s Level 1

Title and instructor No. Days Level
Korean Language: Beginner’s Level 1
Dr. Lourembam Iboyaima Singh.Asst Prof. Department of Humanities, MTU, Imphal
10 Under Graduate, Postgraduate, Higher Secondary

A brief description of course: As the first step to learning Korean, this course will provide all the basic and essential knowledge about Korean Language

Prerequisites & Eligibility: :

  1. As such there are no formal requisites for the course but knowledge of English Grammar is expected from the students to understand the various grammatical rules and markers of Korean which will be taught during the course. The most important element of learning the Korean language will be the motivation and interest of the students to master the language.
  2. Class 9 +

Course contents:
  1. Introduction to Korean Alphabets and Syllables Basic words, Phonetics and Phonology of Korean
  2. Learning how to introduce
  3. Talking about Daily Life
  4. Talking about Location and position
  5. Learning to Count
  6. Going Shopping
  7. Talking about Past, Time
  8. Learning dates, weather
  9. Talking in future tense
  10. Weekend activities and Plan

Course Outcome:
At the end of the course candidates would develop basic language skills of listening, speaking, reading and writing in Korean and using accurate and current grammatical patterns and vocabulary to comprehend, converse, interact and participate in day to day situations.

3. Korean Language: Beginner’s Level II

Title and instructor No. Days Level
Korean Language: Beginner’s Level II
Dr. Lourembam Iboyaima Singh.Asst Prof. Department of Humanities, MTU, Imphal
10 Under Graduate, Postgraduate, Higher Secondary/td>

A brief description of course: This course is designed to make the students who have completed Beginner’s Level-1 to become more efficient and fluent in Korean by practicing more writing and speaking and learning new Korean Grammatical markers.

Prerequisites & Eligibility: :

  1. Should have completed Beginners level-1 in Korean.
  2. Class 9 +

Course contents:
  1. Meeting after a long time
  2. Talking about Hobby
  3. Talking about Food
  4. Talking about Commuting
  5. Asking for Directions
  6. Talking on Phone
  7. Talking about Appearance
  8. Talking about Family
  9. Talking about Trip
  10. Talking about Health

Course Outcome:
As an advanced level of Korean after completing Beginners’ Level 1 this course will enable the students to learn advanced level of Korean language skills of listening, speaking, reading and writing and help the candidates develop more fluency , language proficiency and practice effective oral communication skills

CHEMISTRY

1. Electrochemical Energy Systems

Title and instructor No. Days Level
Electrochemical Energy Systems
Wangkheimayum Marjit, Assoc. Prof, Chemistry Dept at MTU, Imphal
06 Under Graduate, Postgraduate, Higher Secondary

A brief description of course: The objective of this course is to learn fundamentals of energy storage systems for electric-based transportation. This course provides basic knowledge in the multidisciplinary field of energy storage devices and their applications in land, space, and marine vehicles. The focus of the course will be on Voltaic cell, advanced batteries, fuel cells, photovoltaic cell (PV cell), and dye sensitized solar cell (DSSC) for vehicle electrification and power at remote area. The fundamentals PV cell and DSSC will give the future prospects of advanced environmentally benign energy and will solve the global energy problem.

Prerequisites & Eligibility: : Those students who have passed higher secondary education exam (class XII exam) with Chemistry as a subject and studying three year degree course (B.Sc.) with chemistry as a subject are eligible to apply for this course.

Course contents:
  1. Electrode potential and cells: Introduction, classification of cells, Voltaic (Galvanic Cell) and electrolytic cell, Concentration cells, Cell Diagram, Standard Potentials, Standard Reduction Potentials.
  2. Voltage and Electrical Work, Voltage and Free Energy, E0celland ΔG0, Determining E0cell, Nernst Equation: The Nernst Equation at Equilibrium, The Nernst Equation and pH, Standard Hydrogen Electrode (SHE).
  3. Reference electrodes: calomel electrode, Ag/AgCl electrode, ion-selective electrode- glass electrode, determination of pH using glass electrode, applications of these electrodes in determining strength of acids, bases and redox reactions, numerical problems.
  4. Battery: Classification of battery (Primary batteries and Secondary batteries), construction, working and applications of Lead-acid Batteries, Nickel-metal Hydride Battery and Lithium-Ion Batteries.
  5. Fuel cells: Introduction, types of fuel cells-alkaline, phosphoric acid, moltencarbonate, solid polymer electrolyte and solid oxide fuel cells, construction and working of hydrogen and direct methanol-oxygen fuel cell
  6. Photovoltaic cells: Working of PV Cell, PV Components. Solar cell (Dye Sensitized Solar Cell): Energy Levels of DSSC, Mechanism, Composition of DSSC.

Course Outcome:
As energy demand grows it becomes increasingly important to be free from fossil fuels. May be the solution is to transform solar energy directly into fuel, without detouring past oil and biofuel and by mimicking a plant’s own energy storage in an integrated system. After completion of this course, students will come to know that the different type of energy source and storage system and different battery used in different vehicle and electronic equipment. They will also come to know that the global energy problem can be solved by renewable energy source such as solar energy.

2. Organic Name Reactions

Title and instructor No. Days Level
Organic Name Reactions
Wangkheimayum Marjit, Assoc. Prof, Chemistry Dept at MTU, Imphal
06 Under Graduate

A brief description of course: The objective of this course is to learn the fundamental of important organic name reactions and its mechanism which are applicable for the designing of new important drugs. The important reagents used and reaction condition for those name reactions will give an idea how the groups or functional groups can be transform from one another.

Prerequisites & Eligibility: : Those students studying higher secondary education (class XI & XII) with three year degree course (B.Sc) with chemistry as a subject are eligible to apply for this course. However, interested students who are preparing for NET & GATE exam are also eligible to apply for course.

Course contents:
  1. Addition reaction, Aldol Condensation,Arndt-Eistert Synthesis, Baeyer-Villiger Oxidation, Beckmann Rearrangement, Benzilic Acid Rearrangement, Benzoin Condensation, Biginelli Reaction, Birch Reduction, Bischler-Napieralski Reaction.
  2. Claisen Condensation, Claisen Rearrangement, Clemmensen Reduction, Click Chemistry, Cope Rearrangement, Curtius Rearrangement (Reaction), Dakin Reaction, Darzens Condensation, Darzens Reaction, Diazotisation, Dieckmann Condensation, Diels-Alder Reaction.
  3. Elimination reaction, Ene Reaction, Epoxidation, Favorskii Reaction, Fischer Indole Synthesis, Friedel-Crafts Acylation, Friedel-Crafts Alkylation, Fries Rearrangement, Grignard Reaction, Mannich Reaction, Michael Addition.
  4. Nucleophilic Substitution (SN1 / SN2), Oppenauer Oxidation, Oxy-Cope Rearrangement, Oxymercuration demercuration, Hydroboration-oxydation reaction, ozonolysis of alkene, Paterno-Büchi Reaction, Pinacol Rearrangement.
  5. Reformatsky Reaction, Robinson Annulation, Rosenmund Reduction, Sandmeyer Reaction, Schmidt Reaction, Shapiro Reaction, Sharpless Epoxidation, Swern Oxidation, Ullmann Reaction, Wittig Reaction, Wolff-Kishner Reduction, Wolff Rearrangement
  6. Woodward cis-Hydroxylation, Woodward Reaction, Wurtz Reaction, Wurtz-Fittig Reaction, Coupling Reactions: Suzuki Coupling, Stille Coupling, heck reaction, Sonogachira coupling.

Course Outcome:
As the demand of pharmaceutical drugs are increasing, the development of advanced new method, reagents, will lower the cost and availability of the drugs.

BASIC COMPUTERS FUNDAMENTALS

1. Office Automation

Title and instructor No. Days Level
Office Automation
1. MS Office, MS Word, Excel, Powerpoint
Kosygin Leishangthem, Asst Prof, Civil Engg Dept, MTU, Imphal
06 Matriculate

A brief description of course: This short course will allow you to become productive by acquiring a basic understanding of Microsoft Word, Microsoft Excel and Microsoft PowerPoint and learn to share data between these applications.

Prerequisites & Eligibility: : 10+2

Requirement: : Participants are required to bring their own Laptops.

Course contents:
  1. Microsoft Word 2016 : Fundamentals; Formatting text; Document setup; Graphics; Tables;
  2. Microsoft Excel 2016: Getting started; Entering and editing data; Modifying a worksheet; Functions; Formatting; Charts; Graphics; Printing.
  3. Microsoft PowerPoint 2016: Office Workspace Basics; Introduction to PowerPoint; Adding and Formatting Text; Customizing Presentations; Working with Shapes and Pictures; Adding Objects and Effects ; Outlining Proofing and Printing; Delivering Your Presentation

Course Outcome:
Upon completion of this short course, you should be able to:

  1. Minimise, maximise, move and resize windows.
  2. Start Microsoft Office applications and work with the Microsoft Office interface.
  3. Create documents in Microsoft Word.
  4. Create workbooks in Microsoft Excel.
  5. Create presentations in Microsoft PowerPoint.
  6. Share data between Microsoft Office applications.

PHOTOGRAPHY AND POST PROCESSING

1. Basic Photography and Photoshop

Title and instructor No. Days Level
Nikon Certified Instructor from Nikon India Private Limited,
Kosygin Leishangthem, Asst Prof, Civil Engg Dept, MTU, Imphal,
Thou Mangang, VFX Artist
06 Matriculate

A brief description of course: his course focuses on the refinement of the skills and knowledge in photography. By the end of this course, participants will demonstrate an understanding of, and use correct terminology when referring to, elements, principles and other components related to visual arts in the creation of visual art works; demonstrate an understanding of conventions and techniques used and demonstrate an understanding of responsible practices related to visual arts photography. Adobe Photoshop has been an indispensable image editing software application for many years. As an inspiring graphic designer, you would like to familiarize yourself with image creation and editing using this software. Understanding the different tools and features available in Photoshop will help you to maximize your creative potential.

Prerequisites & Eligibility: :

  1. Should bring a device for capturing a photographic image (Digital Camera/ Mobile Camera)
  2. Should bring Laptop (Photoshop cc2017 trial version will be provided).

Eligibility: Matriculation.

Course contents:
  1. Various Camera Modes and their uses
  2. Flash Modes, ISO settings, White Balance, Drive Modes
  3. Lens Focal Length, Exposure Compensation, Focusing Options, Depth of Field (Depth of Focus), Marco Photography
  4. Portraiture, Landscape, Action Photography, Still life, Candid Photography
  5. Indoor Photography, Fine Art Photography, Black and White (Monochrome)
  6. Basic Techniques of Lighting (Including: Font, Side, Back, Defused, etc.)
  7. Basic Photo Composition (Including: Rule of 3rds , Leading Lines, Framing Subjects, etc.)
  8. Basic Photo Editing (Using Photoshop and Picasa), Special Photoshop Creative Ideas involving use of layers
  9. High Dynamic Range (H.D.R) Photography, Knowledge of Pixels, Mega Pixels, DPI, PPI
  10. Introduction to adobe Photoshop
  11. Getting Started with Photoshop
  12. Working with Images, RESIZING & CROPPING Images
  13. Working with basic Selections, Getting started with LAYERS
  14. Painting In Photoshop, PHOTO Retouching, Introduction To COLOR CORRECTION
  15. Using QUICK MASK MODE, Working with the PEN TOOL, Creating SPECIAL EFFECTS
  16. Photoshop Design Contest

Course Outcome:
At the end of this photography and post processing course, you should:

  1. Have a better understanding of the capabilities of their DSLR (or FourThirds) camera.
  2. Understand exposure (both auto and manual metering modes).
  3. Understand depth of field and the application of lens focal length.
  4. Understand auto focus (AF) and how it’s best used.
  5. Understand the use of ISO and flash basics.
  6. Understanding the significance of image resolution & colour space
  7. Learning which tools are best suited for repairing & retouching images
  8. Maximising the use of layers
  9. Manipulating masks & channels to enable detailed selections
  10. Adopting the best practices for organising &managing images for optimum work flow

MANAGEMENT

1. Project Management

Title and instructor No. Days Level
1. Project Management
Chitra Shjagurumayum, Guest Lecturer, Civil Engg. Dept, MIT, Takyelpat.
06 Under Graduate

A brief description of course: There are many projects that begin well and unfortunately conclude in failure. The most likely culprit is a lack of understanding of the foundational principles of project management. It is a good idea for even seasoned project managers to review these principles periodically to ensure their proper application throughout the project management life cycle. It is often said that Project Management is part science and part art, although it follows a systematic process. Appropriately applying the knowledge and tools of project management greatly increases the possibility of project success. Understanding and applying basic project management principles is, therefore, imperative for successful project management execution.

Prerequisites & Eligibility: : 10+2 / B.Tech / M.Tech

Requirement: : Participants are required to bring their own Laptops.

Course contents:
  1. Fundamentals of Project Management – Work Breakdown Structure and Network Logic
  2. Project Planning and Management – CPM, Pert
  3. Project Scope, Time and Cost Management – Project Scheduling and Resource leveling
  4. Project Quality and Risk Management – Cause- effect diagram, controls charts, Pareto analysis, decision tree diagram
  5. Project Procurement Management – Inventory Models- Economic Order Quantity model
  6. Engineering Economics – Time Value of Money, Cash flows, Present worth and Annual worth comparisons.

Course Outcome:
Upon completion of this short course, you should be able to:

  1. On successful completion of the course, the participants will be equipped with modern trends in project management- Design, Construction, Utilization of resource and Cost estimation.
  2. Learn about various processes in planning, organizational & welfare measures.