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M-TECH in Electrical Engineering at Indian Institute of Technology Jodhpur
Jodhpur, Rajasthan
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About the Specialization
What is Electrical Engineering at Indian Institute of Technology Jodhpur Jodhpur?
This Electrical Engineering program at Indian Institute of Technology Jodhpur focuses on advanced theoretical knowledge and practical applications across core domains like Communication and Signal Processing, Control and Automation, Power and Energy Systems, and VLSI and Embedded Systems. It addresses the critical demands of India''''s rapidly expanding industrial, technological, and energy sectors by fostering innovation and research-oriented skills.
Who Should Apply?
This program is ideal for fresh engineering graduates with a B.Tech/B.E. in relevant disciplines (e.g., EE, ECE, CSE) seeking to specialize, and for working professionals aiming to upskill or transition into advanced R&D and design roles. Candidates typically possess a strong academic record and a valid GATE score, demonstrating a foundational understanding of electrical engineering principles.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India''''s core electrical, electronics, and IT industries, including roles as R&D Engineers, Design Engineers, Systems Architects, and Data Scientists. Entry-level salaries typically range from INR 8-15 LPA, with experienced professionals earning significantly more. The rigorous curriculum also prepares students for academic and research careers within India and abroad.
Student Success Practices
Foundation Stage
Master Core Concepts and Analytical Skills- (Semester 1-2)
Dedicate time to thoroughly understand foundational M.Tech core subjects like Research Methodology, Signal Processing, Optimization, and Advanced Engineering Mathematics. Utilize NPTEL lectures, standard textbooks, and solve a wide range of problems to build strong analytical foundations. Engage actively in discussions to clarify doubts.
Tools & Resources
NPTEL courses (NPTEL.ac.in), Standard textbooks (e.g., Oppenheim for DSP, Ogata for Control), MATLAB/Python for problem-solving
Career Connection
A strong grasp of fundamentals is crucial for solving complex engineering problems and excelling in technical interviews for R&D and core engineering roles.
Excel in Laboratory and Simulation Skills- (Semester 1-2)
Actively participate in Engineering Laboratory Practices. Beyond prescribed experiments, explore advanced features of simulation tools like MATLAB, Simulink, LabVIEW, Cadence, and Verilog/VHDL. Work on small, self-initiated projects to apply theoretical knowledge and develop practical problem-solving capabilities.
Tools & Resources
MATLAB, Simulink, LabVIEW, Cadence, Xilinx Vivado (for VLSI), GitHub for project collaboration
Career Connection
Hands-on experience with industry-standard tools makes graduates highly employable for design, development, and testing roles in various industries.
Engage with Faculty and Peer Learning- (Semester 1-2)
Regularly interact with faculty members for academic guidance, research project ideas, and career counseling. Form study groups with peers to discuss challenging topics, share insights, and prepare for examinations. Participate in departmental seminars and workshops to broaden your technical exposure.
Tools & Resources
Departmental seminars, Faculty office hours, Peer study groups
Career Connection
Building strong academic relationships and a peer network fosters collaborative learning and opens doors to research opportunities and industry connections.
Intermediate Stage
Strategic Specialization and Elective Selection- (Semester 2-3)
Carefully choose your specialization stream core courses and electives based on your career interests and research aptitude. Delve deep into these chosen areas through advanced courses, online certifications, and self-study. Start identifying potential dissertation topics aligned with your specialization.
Tools & Resources
IIT Jodhpur course catalog, Online certification platforms (Coursera, edX), IEEE Xplore for research papers
Career Connection
Focused specialization helps in building expertise in a niche area, making you a desirable candidate for specialized R&D and technical roles.
Initiate and Develop Research Projects- (Semester 2-3)
Engage proactively in your Dissertation Part-1. Start with thorough literature reviews, identify research gaps, and define clear objectives. Work closely with your supervisor, consistently document your progress, and aim to present preliminary findings at internal seminars or student conferences.
Tools & Resources
Research labs in the department, IEEE, ACM digital libraries, LaTeX for documentation
Career Connection
Research experience and publications significantly boost your profile for higher studies, R&D positions, and provide a competitive edge in job markets.
Seek Industry Internships and Collaborations- (Semester 2-3 (Summer after Sem 2, or during Sem 3 for project-based))
Actively pursue summer internships or project-based collaborations with companies in your chosen specialization. This provides invaluable real-world experience, helps understand industry demands, and often leads to pre-placement offers. Leverage the institute''''s career services for opportunities.
Tools & Resources
IIT Jodhpur Career Development Cell, LinkedIn, Company career pages
Career Connection
Internships bridge the gap between academic knowledge and industrial application, enhancing practical skills and often serving as a direct pathway to full-time employment.
Advanced Stage
Deliver High-Quality Dissertation Research- (Semester 4)
Commit to rigorous research and development for Dissertation Part-2. Maintain regular communication with your supervisor, meticulously analyze results, and refine your thesis. Focus on generating impactful contributions, leading to high-quality thesis submission and successful viva voce.
Tools & Resources
Advanced simulation software, High-performance computing resources, Reference managers (Zotero, Mendeley)
Career Connection
A strong dissertation showcases your ability to conduct independent research, solve complex problems, and contribute meaningfully to the field, critical for R&D and academic roles.
Intensive Placement and Career Preparation- (Semester 4)
Actively participate in campus placement drives. Refine your resume, practice technical and HR interview skills, and attend mock interview sessions. Network with alumni and industry professionals. Target companies aligned with your specialization and career aspirations.
Tools & Resources
IIT Jodhpur Placement Cell, Online interview platforms (LeetCode, HackerRank), Professional networking events
Career Connection
Effective placement preparation maximizes opportunities for securing desirable positions in leading companies in India, ensuring a smooth transition into your professional career.
Professional Development and Mentorship- (Semester 3-4)
Attend advanced workshops, guest lectures from industry leaders, and professional conferences. Seek mentorship from faculty, alumni, or industry experts to gain insights into career growth, industry trends, and leadership development. Begin planning for long-term career goals, including potential higher studies or entrepreneurial ventures.
Tools & Resources
IEEE/ACM membership, Industry conferences (e.g., COMNET, VLSI Design), Alumni network
Career Connection
Continuous learning and strong professional mentorship are vital for sustained career growth, leadership development, and staying relevant in the rapidly evolving field of Electrical Engineering.
Program Structure and Curriculum
Eligibility:
- B.Tech./B.E. or equivalent degree in Electrical Engineering/Electrical and Electronics Engineering/Instrumentation and Control Engineering/Electronics and Communication Engineering/Electronics Engineering/Computer Science and Engineering/Computer Engineering/Information Technology from any IITs with a minimum CGPA of 8.0 out of 10.0 or equivalent percentage of marks, OR from any other Institute with a minimum CGPA of 6.0 out of 10.0 or equivalent percentage of marks. OR M.Sc./MS in Electrical Engineering/Electronics Science/Instrumentation/Physics/Computer Science and Engineering/Computer Engineering/Information Technology/Applied Mathematics/Statistics/Operations Research with a minimum CGPA of 6.0 out of 10.0 or equivalent percentage of marks, AND a valid GATE score in Electrical Engineering (EE)/Electronics and Communication Engineering (EC)/Instrumentation Engineering (IN)/Computer Science and Information Technology (CS)/Mathematics (MA)/Physics (PH) or UGC/CSIR-NET JRF.
Duration: 4 semesters / 2 years
Credits: 61 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE6010 | Research Methodology | Core | 3 | Research problem formulation, Literature review techniques, Research design and methods, Data collection and analysis, Technical report writing, Research ethics and IPR |
| EE6020 | Signal Processing and its Applications | Core | 3 | Discrete-time signals and systems, Z-transform and DFT, FIR and IIR filter design, Spectral estimation techniques, Multirate signal processing, Basic image processing |
| EE6030 | Optimization for Engineers | Core | 3 | Unconstrained optimization methods, Constrained optimization techniques, Linear programming and Simplex method, Nonlinear programming, Convex optimization, Applications in engineering |
| EE6040 | Advanced Engineering Mathematics | Core | 3 | Linear algebra and matrix theory, Vector calculus and applications, Ordinary and partial differential equations, Complex analysis and transforms, Probability and statistics for engineers, Numerical methods |
| EE6101 | Engineering Laboratory Practice I | Lab | 2 | Basic experimental techniques, Instrumentation and measurement, Data acquisition systems, Simulation tools (e.g., MATLAB/Python), Circuit design and analysis, Report writing for experiments |
| EE6230 | Wireless Communication (CSP Stream Elective) | Elective | 3 | Cellular concepts and system design, Mobile radio propagation, Fading and multipath channels, Diversity techniques, Multiple access techniques, Wireless network architectures |
| EE6330 | Robotics and Automation (CA Stream Elective) | Elective | 3 | Robot kinematics and dynamics, Trajectory generation, Robot control architectures, Sensors and actuators for robotics, Industrial automation concepts, Mobile robotics |
| EE6430 | Renewable Energy Systems (PES Stream Elective) | Elective | 3 | Solar photovoltaic systems, Wind energy conversion systems, Hydro and biomass energy, Grid integration of renewables, Energy storage systems, Hybrid renewable energy systems |
| EE6530 | Digital IC Design (VLSIES Stream Elective) | Elective | 3 | CMOS logic gates, Sequential circuit design, Timing analysis and power dissipation, Interconnect and layout, Design for testability, VLSI design flow |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE6102 | Engineering Laboratory Practice II | Lab | 2 | Advanced experimental setups, Hardware implementation and testing, Software defined radio/control platforms, FPGA/Microcontroller based projects, Data analysis and interpretation, Technical presentation skills |
| EE6210 | Advanced Digital Communication (CSP Stream Core) | Elective | 3 | Digital modulation schemes, Channel coding techniques, MIMO systems, OFDM and multicarrier modulation, Spread spectrum communication, Error control coding |
| EE6220 | Information Theory and Coding (CSP Stream Core) | Elective | 3 | Entropy and mutual information, Channel capacity, Source coding (Huffman, Lempel-Ziv), Linear block codes, Cyclic codes, Convolutional codes |
| EE6310 | Advanced Control System Design (CA Stream Core) | Elective | 3 | State-space analysis and design, Linear quadratic regulator (LQR), Kalman filter, Robust control (H-infinity, mu-synthesis), Adaptive control systems, Sliding mode control |
| EE6320 | System Identification and Adaptive Control (CA Stream Core) | Elective | 3 | Parametric and non-parametric models, Least squares estimation, Recursive identification methods, Model reference adaptive control, Self-tuning regulators, Dual control |
| EE6410 | Power System Dynamics and Control (PES Stream Core) | Elective | 3 | Synchronous machine modeling, Transient stability analysis, Voltage stability assessment, Frequency control, Excitation and governor control, Power system stabilizers |
| EE6420 | Advanced Power Electronics (PES Stream Core) | Elective | 3 | High frequency power converters, Resonant converters, Multi-level inverters, Active power filters, Power quality issues, Electromagnetic compatibility |
| EE6510 | Advanced VLSI Design (VLSIES Stream Core) | Elective | 3 | CMOS device physics and manufacturing, Combinational and sequential logic design, ASIC and FPGA design flows, Timing analysis and optimization, Low-power VLSI design, Design for testability |
| EE6520 | Embedded System Design (VLSIES Stream Core) | Elective | 3 | Microcontrollers and microprocessors, Real-time operating systems (RTOS), Embedded C programming, Peripherals and interfaces, Internet of Things (IoT) applications, System-on-chip architectures |
| EE6240 | Image and Video Processing (CSP Stream Elective) | Elective | 3 | Image enhancement and restoration, Image segmentation, Feature extraction, Video compression standards (MPEG, H.264), Motion estimation and compensation, Medical imaging |
| EE6340 | Optimal Control Theory (CA Stream Elective) | Elective | 3 | Calculus of variations, Pontryagin''''s Minimum Principle, Dynamic programming, Hamilton-Jacobi-Bellman equation, Linear Quadratic Regulator (LQR), Optimal state estimation |
| EE6440 | Smart Grid Technology (PES Stream Elective) | Elective | 3 | Smart grid architecture and components, Advanced metering infrastructure (AMI), Demand side management, Cybersecurity in smart grids, Integration of distributed generation, Communication technologies for smart grids |
| EE6540 | Analog IC Design (VLSIES Stream Elective) | Elective | 3 | CMOS amplifiers (common-source, differential), Current mirrors and references, Operational amplifiers design, Noise in analog circuits, Bandgap references, Analog-to-Digital and Digital-to-Analog Converters |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE7000 | Dissertation Part-1 | Project | 6 | Problem identification and literature review, Defining research objectives and methodology, Preliminary experimental or simulation work, Data collection and initial analysis, Interim report and presentation |
| EE6250 | Detection and Estimation Theory (CSP Stream Elective) | Elective | 3 | Hypothesis testing, Bayesian and Neyman-Pearson detectors, Minimum variance unbiased estimation, Cramer-Rao lower bound, Kalman filtering, Parameter estimation |
| EE6260 | Advanced Digital Signal Processing (CSP Stream Elective) | Elective | 3 | Review of DSP fundamentals, Adaptive filter algorithms (LMS, RLS), Multirate signal processing, Wavelet transforms, Time-frequency analysis, Blind source separation |
| EE6270 | Optical Communication (CSP Stream Elective) | Elective | 3 | Optical fibers and their characteristics, Light sources and detectors, Optical transmitters and receivers, Wavelength Division Multiplexing (WDM), Optical networks, Fiber optic sensors |
| EE6280 | Machine Learning for Signal Processing (CSP Stream Elective) | Elective | 3 | Fundamentals of machine learning, Feature extraction from signals, Classification and regression for signals, Deep learning for audio/speech processing, Neural networks for image recognition, Unsupervised learning in signal data |
| EE6290 | Cognitive Radio Networks (CSP Stream Elective) | Elective | 3 | Spectrum sensing techniques, Spectrum management and sharing, Cognitive cycle and architectures, Dynamic spectrum access, Interference management, Standardization in cognitive radio |
| EE6350 | Nonlinear Control Systems (CA Stream Elective) | Elective | 3 | Phase plane analysis, Describing function method, Lyapunov stability theory, Feedback linearization, Sliding mode control, Backstepping control |
| EE6360 | Industrial Automation and SCADA (CA Stream Elective) | Elective | 3 | Process control fundamentals, PLC programming and architecture, Distributed control systems (DCS), SCADA systems and HMI, Industrial communication protocols, Factory automation |
| EE6370 | Process Control (CA Stream Elective) | Elective | 3 | Dynamic models of processes, PID controller tuning, Feedforward and ratio control, Cascade control, Multivariable control, Controller performance assessment |
| EE6380 | Networked Control Systems (CA Stream Elective) | Elective | 3 | Network topologies and protocols, Time delays and packet dropouts, Sampling and quantization effects, Stability analysis of NCS, Control over wireless networks, Cyber-physical systems |
| EE6450 | Power System Protection (PES Stream Elective) | Elective | 3 | Fault analysis in power systems, Protective relays (numerical, differential), Protection of generators and transformers, Line protection schemes, Busbar and motor protection, Substation automation |
| EE6460 | Electrical Machines and Drives (PES Stream Elective) | Elective | 3 | Principles of electromechanical energy conversion, Dynamics of DC and AC machines, Motor control techniques, Variable frequency drives, Sensorless control of machines, Special electrical machines |
| EE6470 | High Voltage Engineering (PES Stream Elective) | Elective | 3 | Generation and measurement of high voltages, Breakdown phenomena in dielectrics, Insulation materials and systems, Overvoltage phenomena and insulation coordination, High voltage testing of equipment, Electrostatic fields |
| EE6480 | Energy Management and Audit (PES Stream Elective) | Elective | 3 | Energy conservation principles, Energy audit methodologies, Energy efficiency in buildings and industry, Economic analysis of energy projects, Demand side management, Energy policy and regulation |
| EE6550 | FPGA Based System Design (VLSIES Stream Elective) | Elective | 3 | FPGA architectures and technologies, HDL for FPGA design (Verilog/VHDL), Synthesis, place and route, Timing constraints and analysis, Embedded processors in FPGAs, System-level design using FPGAs |
| EE6560 | Memory Technologies (VLSIES Stream Elective) | Elective | 3 | SRAM and DRAM architectures, Non-volatile memories (Flash, MRAM), Memory interfaces and protocols, Memory hierarchy and caching, Memory reliability and testing, Emerging memory technologies |
| EE6570 | Internet of Things (IoT) (VLSIES Stream Elective) | Elective | 3 | IoT architecture and protocols, Sensors and actuators for IoT, IoT communication technologies (Zigbee, LoRa), Embedded systems for IoT, Cloud platforms for IoT, IoT security and privacy |
| EE6580 | Advanced Computer Architecture (VLSIES Stream Elective) | Elective | 3 | Pipelining and superscalar architectures, Memory hierarchy design, Cache coherence and consistency, Multiprocessor systems, Vector processing, RISC-V architecture |
| EE6590 | Hardware Security (VLSIES Stream Elective) | Elective | 3 | Hardware Trojans and side-channel attacks, Physical unclonable functions (PUFs), Hardware random number generators, Secure processor architectures, Countermeasures against hardware attacks, Supply chain security |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE7000 | Dissertation Part-2 | Project | 12 | Advanced research and development, Comprehensive data analysis and interpretation, Solution formulation and validation, Thesis writing and documentation, Final presentation and viva voce |
