M Tech Syllabus 2024: Subjects, Semester-wise Syllabus PDF, Top Colleges, Books

MTech in Chemical Engineering: Advanced Momentum Transfer, Advanced Mass Transfer Operations

These subjects introduce the students to the following concepts –

1)Turbulent flow, Bernoulli's equation and its applications, Gas-liquid and solid-liquid fluidised bed, etc.

2) Characterisation of Separation processes, Multistage separation processes, Binary multistage separation, Energy requirements of a separation process, etc.

 MTech in Civil Engineering: Matrix

1)Methods of Structural Analysis

2)Finite Element Analysis

These subjects introduce the students to the following concepts

1) It involves matrix methods like Direct Flexibility, Generalised Flexibility, Direct Stiffness, Generalised Stiffness, etc.

2) FEM & Approximate Methods, One Dimensional FE Analysis, FE Analysis by Direct Approach, Two Dimensional FE Analysis, etc.

 MTech Software Engineering: 1)Machine Learning 2)Software Architecture

These subjects introduce the students to the following concepts-

1) Basic definitions, types of learning, hypothesis space and inductive bias, evaluation, cross-validation, Perceptron, introduction to the deep neural network, k-means, adaptive hierarchical clustering, Gaussian mixture model, etc.

2) Architecture Documentation: SEI Framework, Module View, Component and Connector View, Deployment View, Pattern-Oriented Software Architecture: Layer, MVC, Pipe-Filter, etc.

MTech in Electrical Engineering

POWER SYSTEM MODELLING

The subject introduces the students to the concepts of Modelling Power System Components, Synchronous machine modelling and its analysis, Excitation system modelling, etc.

 MTech in Chemical Engineering:

1)Advanced Heat Transfer

2) Bioprocess Engineering

These subjects introduce the students to the following concepts

1)Steady-state heat conduction, Unsteady state condition, Natural Convection, Forced Convection, and Radiation Heat transfer.

2) Enzyme & Cell Kinetics, Transport Phenomena in Bioprocess Systems, Bioreactor Design, and Analysis.

 MTech in Civil Engineering:

1)Structural Health Monitoring,

2)Design of Masonry Structures

These subjects introduce the students to the following concepts – 1) SHM & Smart Materials, Vibration Control & SHM, Electrical Impedance Methods in SHM, Advanced signal processing methods in SHM, etc.

2) Strength of Masonry in Compression, Flexural, Shear and Bond Strength, Designing of Load Bearing Masonry Buildings, Earthquake Resistant Masonry Buildings, etc.

MTech Software Engineering:

1) Software Performance Engineering

2)Software Language Engineering

These subjects introduce the students to the following concepts -

1) Performance Metrics, Basic Performance Analysis, Workload Identification and Characterisation, From Workloads to Business Aspects of Performance Requirements, Qualitative and Quantitative Types of Performance Requirements, etc.

2) Introduction, Grammars and parsing, Language processing, Attribute grammars, Rewriting & strategies, Automated refactoring, Domain-specific languages, Domain-specific language design, etc.

MTech in Electrical Engineering

1) Advanced Digital Signal Processing

2) Power Sector Economics, Regulation & Restructuring

These subjects introduce the students to the concepts of Discrete 1)Time Signals, Digital FIR And IIR Filter Design, Adaptive Digital Filters, Multi-Rate Digital Signal Processing, etc.

2) Power Sector in India, Power sector economics and regulation, Power Tariff, Electricity Markets Pricing, Non-price issues, Power sector restructuring, market reform, etc.

 1

 Core

Data Structure & Algorithm

This subject involves the study of algorithms and their analysis and Big-O notation, array sequences, stacks, queues and deques, linked lists, recursion, trees, searching and sorting algorithms, graph algorithms, etc. This is the base for computer programming.

Discrete Structures For Computer Science

This subject involves the study of Sets, Relations, Functions and Lattices, Propositional, Logic, Counting and Probability, and Abstract Algebra. These topics are essential to cope with the other subjects of MTech.

Embedded Systems Design

This subject involves the study of Introduction to Embedded systems – Classification, Major application areas, Purpose, Examples; The 8051 Architecture, Introduction to Real-Time Operating Systems, Basic Design Using a Real-Time Operating System. This program gives students in-depth knowledge of embedded system development.

Operating Systems Design

This subject involves the study of the architecture of the UNIX operating system, The Buffer Cache, INODES, System Calls for the file system, Process states and transitions, System boot and the INIT Process, Awaiting process termination, Swapping, – Hybrid System, the I/O Subsystem.

2.

Core

Object-Oriented Systems Engineering

This subject involves the study of Project Organisation – Communication – Project Management. Life cycle models – UML Diagrams, Analysis Object Model (Domain Model), Dynamic Object Modelling, Mapping Design (Models) to Code – Configuration Management. This subject helps develop the ability to analyse and develop software using object-oriented methodology.

Computer System Design And Architecture

This subject involves the study of Fundamentals, Instruction level parallelism and its limits, Static Scheduling and Memory hierarchy design, and Static Scheduling and Memory hierarchy design.

Automated Verification

This subject involves the study of Introduction, Transition System Models of Systems; Linear-Time Properties, Regular Properties, Model Checking, System, Tools, Properties. The knowledge of this subject helps prove the correctness of software expressed as source code, combinational circuits, and digital circuits with internal memory.

Elective

Compiler Design

This subject involves studying basic translation mechanisms and error detection & recovery, lexical, syntax, and semantic analysis as the front end, and code generation and optimisation as the back end.

3.

Core

Advanced Software Testing

This subject involves studying the software testing processes, test techniques like Specification-Based Techniques, Experience-Based Testing Techniques, Testing Applications on the Web, and Processing of Maturity Models. Gives a detailed idea of the strengths and limitations of various functional and structural testing methods.

Elective

Systems Modelling And Simulation

This subject involves the study of Systems, Models, and Simulation, Components of a System, Model of a System Concepts in Discrete-Event Simulation, Modelling Complex Systems, and Simulation of Computer Systems. This subject is useful in system engineering.

4.

Core

Seminar

The report on the assigned project is submitted during the seminar. The viva is conducted by the internal and external appointed by the university to check the student's knowledge of their chosen specialised subject.

Communication Engineering

 Signal Theory, Antenna Theory, and Design Signal, Processing Algorithms & Applications, Advances in Wireless Networks, Fibre Optic Communication and Networks, Electromagnetic Interference and Compatibility.

The subjects deal in providing a broad understanding of social, ethical, and professional issues of contemporary engineering practice and related technologies and professional, ethical, and societal responsibilities.

MTech in Civil Engineering with a specialisation in Environmental Engineering

Environmental Chemistry and Microbiology, Environmental Legislation and Management, Industrial wastewater and Treatment Management, Environmental Sanitation, Agricultural Pollution Control, NanoTechnology for Water and Wastewater Treatment, Environmental Auditing.

The course deals with teaching students professional/ethical attitude, effective teamwork skills, a multidisciplinary approach, and relating engineering issues to a broader context, providing a solid foundation in mathematical, and scientific fundamentals required to solve environment-related problems.

MTech in Electronics & Telecommunication Engineering

Signal Theory, Radiation, and Microwave Techniques, Signal Processing Algorithms & Applications, Estimation and Detection, Theory Information Theory and Coding, Artificial Neural Networks and Applications, Advanced Biomedical Signal Processing, Internet of Things.

The subjects will help to develop an ability in students to apply knowledge of mathematics, sciences, and engineering to Electronics and Telecommunication problems, design and conduct experiments, as well as to analyse and interpret data/results, system development,components, devices, or process to meet desired needs.

MTech in Digital Communication

Signal Theory, Antenna Theory and Design, Advanced Digital Communication, Estimation and Detection Theory, Information Theory and Coding, Neural Networks in Embedded Applications Multirate Digital Signal Processing, Synthesis & Optimization of Digital Circuits.

This course will help the students to evaluate Electronics and Telecommunication Engineering problems with cost-effectiveness, features, and user-friendliness to cater to needs for innovative product development.

Advanced Digital Signal Processing

Advanced Digital Signal Processing

 Shaila D. Apte

The book aims at providing a rigorous treatment of Advanced Digital Signal Processing.

Remote Sensing

Remote Sensing and GIS

 Chandra, A.M.

This book aims at explaining the fundamentals of the emerging technology of remote sensing combined with GIS.

Advanced Computer Architecture

Advanced Computer Organisation Architecture

Ikvinderpal Singh

It provides the concepts and designs of Advanced Computer Architecture in detail for the students of MTech.

Digital Design and Verification

Verilog HDL: A Guide to Digital Design and Synthesis

Samir Palnitkar

The book offers broad coverage of Verilog HDL from a practical design perspective.

Voice and Data Network

An Integrated Approach to Computer Network

Bhavneet Sidhu

It gives the students a conceptual understanding of current networking technologies and further technologies of the industry.

Mathematical Methods in Control

Probability, Random Variable, and Stochastic Processes.

Papoulis & Pillai

All the fundamental principles of Probability, Random Variable, and Stochastic Processes and their usage has been explained in this book with the help of examples of basic applications.

Robotics and Automation

Control in Robotics and Automation: Sensor Based Integration

Ghosh

The topics in the book are found to cover integration planning and control based on prior knowledge and real-time sensory information.

IIT Madras 

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 IIT Delhi

To be uploaded soon

IIT Bombay

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IIT Kanpur

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IIT Kharagpur

IIT Roorkee

IIT Hyderabad

National Institute of Technology, Tiruchirappalli (NIT Trichy)

National Institute of Technology, Karnataka

IIT Guwahati