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B-TECH-M-TECH-DUAL-DEGREE in Electrical Engineering Communication And Signal Processing at Indian Institute of Technology Indore
Indore, Madhya Pradesh
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About the Specialization
What is Electrical Engineering (Communication and Signal Processing) at Indian Institute of Technology Indore Indore?
This Electrical Engineering (Communication and Signal Processing) program at Indian Institute of Technology Indore focuses on the foundational theories and advanced applications crucial for modern digital communication and intelligent signal analysis. The curriculum is meticulously designed to equip students with expertise in areas vital for India''''s rapidly expanding telecommunications, IT, and defense sectors, fostering innovation in areas like 5G/6G, IoT, and AI-driven analytics.
Who Should Apply?
This program is ideal for fresh graduates with a strong aptitude for mathematics and physics, seeking entry into core electrical engineering and cutting-edge communication technologies. It also caters to aspiring researchers and innovators aiming to contribute to advancements in signal processing, wireless networks, and embedded systems. Specific prerequisite backgrounds typically include a solid foundation in calculus, linear algebra, and basic circuit theory.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths in telecommunication companies like Jio, Airtel, and Vodafone Idea, IT giants such as TCS, Wipro, and Infosys, or defense organizations like DRDO. Entry-level salaries typically range from INR 8-15 LPA, with experienced professionals earning significantly more. Growth trajectories include roles in R&D, system design, network engineering, and data science, aligning with certifications in areas like wireless technologies and embedded systems.
Student Success Practices
Foundation Stage
Master Core Engineering Fundamentals- (Semester 1-2)
Focus rigorously on understanding concepts in Calculus, Linear Algebra, Physics, Chemistry, and Basic Electrical/Computing. These form the bedrock for all advanced EE courses. Participate actively in tutorials and problem-solving sessions.
Tools & Resources
NPTEL lectures for foundational subjects, Khan Academy, textbooks recommended by faculty, peer study groups, IIT Indore''''s central library resources
Career Connection
A strong grasp of fundamentals ensures better performance in subsequent semesters, enhances problem-solving abilities crucial for internships, and builds confidence for technical interviews.
Develop Foundational Programming Skills- (Semester 1-2)
Excel in Introduction to Computing and Computing Lab. Practice coding regularly beyond assignments, focusing on data structures and algorithms in C/C++ or Python.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks for competitive programming, online courses like Coursera (Python for Everybody), departmental coding clubs
Career Connection
Proficiency in programming is indispensable for modern Electrical Engineering, particularly for signal processing, embedded systems, and machine learning roles, directly impacting software development and R&D opportunities.
Cultivate Effective Study Habits & Peer Learning- (Semester 1-2)
Establish a consistent study routine, review lecture notes daily, and actively participate in discussions. Form small study groups to clarify doubts, teach concepts to peers, and collaboratively solve challenging problems.
Tools & Resources
Academic calendar for planning, university-provided collaboration platforms, whiteboards for group discussions, senior mentorship programs
Career Connection
Develops teamwork, communication, and leadership skills, which are highly valued by employers. It also helps in maintaining a healthy academic CGPA, a critical criterion for placements and higher studies.
Intermediate Stage
Deep Dive into Core EE & Signal/Communication Concepts- (Semester 3-5)
Go beyond classroom lectures for core EE subjects like Signals and Systems, Digital Electronics, and Communication Systems. Engage in extra readings, participate in departmental workshops, and start mini-projects.
Tools & Resources
Advanced textbooks, research papers in IEEE Xplore, online courses from edX/Coursera on specific EE topics, simulation software like MATLAB/Simulink or LTSpice
Career Connection
Builds a strong theoretical and practical foundation in the specialization, making students highly competitive for specialized internships and project roles in communication and signal processing companies.
Seek Early Industry Exposure & Internships- (Semester 4-6 (applying in Sem 4/5))
Actively look for summer internships or industrial training opportunities in relevant sectors like telecommunications, semiconductor design, or embedded systems. Attend industry talks and career fairs.
Tools & Resources
IIT Indore''''s Career Development Centre (CDC), LinkedIn, company career pages, alumni network, professional societies like IEEE
Career Connection
Internships provide invaluable real-world experience, help clarify career interests, build professional networks, and often lead to pre-placement offers (PPOs), significantly boosting placement prospects.
Engage in Departmental Projects & Competitions- (Semester 3-6)
Join departmental clubs (e.g., Robotics Club, Electronics Hobby Club) or work on faculty-mentored projects. Participate in hackathons, design competitions, or technical symposia relevant to EE.
Tools & Resources
Departmental lab facilities, faculty advisors, project grants, open-source hardware (e.g., Arduino, Raspberry Pi) and software
Career Connection
Develops practical skills, problem-solving abilities, teamwork, and innovation. Such experiences are excellent resume builders and provide concrete examples for interview discussions.
Advanced Stage
Specialize through Electives & Advanced Research- (Semester 6-10)
Strategically choose departmental and M.Tech electives that align with ''''Communication and Signal Processing'''' to build deep expertise. Dedicate significant effort to B.Tech and M.Tech projects, aiming for novel contributions or publications.
Tools & Resources
Research labs, advanced simulation software, access to high-performance computing, guidance from M.Tech project supervisors, academic databases
Career Connection
Demonstrates advanced knowledge and research capabilities, making graduates highly desirable for R&D roles, academic pursuits (Ph.D.), and specialized positions in high-tech industries.
Network with Professionals & Prepare for Placements- (Semester 7-10)
Attend industry seminars, workshops, and conferences. Network with alumni and industry leaders. Start rigorous placement preparation early, including technical aptitude tests, group discussions, and mock interviews.
Tools & Resources
IIT Indore''''s CDC for mock interviews and resume reviews, online aptitude platforms, alumni mentorship programs, LinkedIn
Career Connection
Enhances visibility within the industry and helps secure desirable placements. Strong networking can open doors to opportunities not advertised publicly, while thorough preparation ensures success in the competitive job market.
Develop Leadership & Communication Skills- (Semester 6-10)
Take on leadership roles in student organizations, project teams, or academic events. Practice technical communication through presentations, project reports, and a strong thesis defense.
Tools & Resources
Public speaking clubs, communication workshops, faculty feedback on presentations, departmental events requiring student leadership
Career Connection
Beyond technical skills, leadership and effective communication are crucial for career progression into managerial or leadership roles in industry, and for conveying complex ideas in any professional setting.
Program Structure and Curriculum
Eligibility:
- Admission to B.Tech. programs (including integrated dual degree programs) is through Joint Entrance Examination (JEE) (Advanced).
Duration: 10 semesters / 5 years
Credits: 393 Credits
Assessment: Internal: undefined, External: undefined
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Calculus | Core | 8 | Functions of a single variable, Limits and continuity, Differentiation and applications, Integration and applications, Sequences and series, Multivariable calculus basics |
| PH101 | Physics I | Core | 8 | Special Relativity, Quantum Mechanics introduction, Atomic Structure, Solid State Physics principles, Introduction to Electromagnetism |
| CS101 | Introduction to Computing | Core | 6 | Programming fundamentals, Data types and variables, Control structures, Functions and modules, Arrays and pointers, Basic algorithms in C/C++ |
| CH101 | Chemistry I | Core | 6 | Atomic structure, Chemical bonding, Thermodynamics principles, Electrochemistry, Reaction kinetics, Organic chemistry basics |
| HS101 | English for Communication | Core | 4 | Reading comprehension, Effective writing skills, Grammar and vocabulary, Oral communication and presentation, Technical writing basics |
| PH103 | Physics Lab I | Lab | 3 | Experiments on mechanics, Optics measurements, Basic electricity experiments, Properties of matter, Data analysis and error estimation |
| ME101 | Engineering Graphics | Core | 5 | Orthographic projections, Isometric views, Sectional views, Dimensioning and tolerancing, Introduction to CAD software |
| CS103 | Computing Lab | Lab | 3 | Hands-on programming in C/C++, Debugging techniques, Implementation of algorithms, Problem-solving exercises |
| CH103 | Chemistry Lab I | Lab | 3 | Volumetric analysis, Gravimetric analysis, Synthesis of organic compounds, Instrumental analysis methods |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Linear Algebra and Differential Equations | Core | 8 | Matrices and determinants, Vector spaces and linear transformations, Eigenvalues and eigenvectors, First-order ordinary differential equations, Higher-order ODEs, Laplace transforms |
| PH102 | Physics II | Core | 8 | Electrodynamics principles, Magnetostatics, Maxwell''''s equations, Electromagnetic waves, Optics and laser physics, Wave-particle duality |
| EE101 | Basic Electrical Engineering | Core | 8 | DC and AC circuits analysis, Network theorems, Three-phase systems, Transformers principles, DC and AC electrical machines, Introduction to power systems |
| BT101 | Introduction to Biosciences | Core | 4 | Cell biology fundamentals, Genetics and molecular biology, Metabolism pathways, Biotechnology applications, Environmental biology |
| ID101 | Introduction to Engineering | Core | 4 | Engineering disciplines overview, Engineering design process, Problem-solving methodologies, Ethics in engineering, Sustainable engineering concepts |
| PH104 | Physics Lab II | Lab | 3 | Advanced electricity experiments, Magnetism and induction, Optical phenomena experiments, Modern physics concepts, Experimental data interpretation |
| ID103 | Engineering Lab | Lab | 3 | Basic workshop practices, Hands-on engineering tools, Measurement techniques, Assembly and fabrication tasks, Safety protocols in labs |
| EE103 | Basic Electrical Engineering Lab | Lab | 3 | Verification of circuit theorems, AC and DC circuit measurements, Characteristics of electrical machines, Power measurement techniques |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA201 | Probability, Statistics, and Complex Analysis | Core | 8 | Probability theory and distributions, Random variables and processes, Statistical inference, Hypothesis testing, Complex numbers and functions, Cauchy''''s integral theorems |
| EE201 | Analog Electronic Circuits | Core | 8 | Diode characteristics and applications, Transistor biasing and amplifiers (BJT, MOSFET), Frequency response of amplifiers, Feedback and oscillation circuits, Operational amplifiers and their applications |
| EE203 | Digital Electronics | Core | 8 | Boolean algebra and logic gates, Combinational logic circuit design, Sequential logic circuits (flip-flops, counters), Registers and memory units, A/D and D/A converters, Logic families |
| EE205 | Electrical Machines | Core | 8 | DC machines (construction, operation), Transformers (theory, types, applications), Three-phase induction motors, Synchronous machines, Machine control principles |
| EE207 | Analog Electronic Circuits Lab | Lab | 3 | Diode and transistor characteristics, Design of BJT/MOSFET amplifiers, Op-amp based circuit experiments, Measurement of amplifier parameters |
| EE209 | Digital Electronics Lab | Lab | 3 | Implementation of logic gates, Design of combinational circuits, Experiments with sequential circuits, Microprocessor interfacing basics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA202 | Numerical Methods | Core | 8 | Root finding algorithms, Interpolation techniques, Numerical integration and differentiation, Solving systems of linear equations, Numerical solutions for ODEs |
| EE202 | Signals and Systems | Core | 8 | Signal classification and operations, System properties and classification, Linear Time-Invariant (LTI) systems, Fourier Series and Fourier Transform, Laplace and Z-transforms, Sampling theorem and reconstruction |
| EE204 | Control Systems | Core | 8 | System modeling and representation, Transfer functions and block diagrams, Time and frequency domain analysis, Stability analysis (Routh-Hurwitz, Nyquist, Bode), Root locus technique, State-space analysis |
| EE206 | Power Systems | Core | 8 | Power generation and economics, Transmission line parameters, Per-unit system, Load flow studies, Fault analysis in power systems, Power system stability |
| HS XXX | Humanities and Social Sciences Elective | Elective | 6 | Selected topics from economics, Sociology and societal issues, Psychology and human behavior, Philosophy and ethics, Literature and communication |
| EE208 | Signals and Systems Lab | Lab | 3 | Signal generation and manipulation, System response analysis, Implementation of Fourier transforms, Sampling and aliasing demonstrations, Use of MATLAB/Python for signal processing |
| EE210 | Control Systems Lab | Lab | 3 | Time response of first/second order systems, Controller design (P, PI, PID), Frequency response analysis, Stability analysis experiments |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE301 | Communication Systems | Core | 8 | Amplitude Modulation (AM), Angle Modulation (FM, PM), Noise in communication systems, Digital modulation techniques (ASK, FSK, PSK), Source coding and channel coding, Introduction to wireless communication |
| EE303 | Power Electronics | Core | 8 | Power semiconductor devices, Rectifiers (controlled and uncontrolled), DC-DC converters (choppers), Inverters (single and three-phase), AC voltage controllers, Industrial applications of power electronics |
| EE305 | Microprocessors and Microcontrollers | Core | 8 | 8085/8086 microprocessor architecture, Assembly language programming, Memory and I/O interfacing, Microcontroller architectures (e.g., PIC, ARM), Embedded systems design principles |
| EE307 | Electromagnetic Field Theory | Core | 8 | Vector calculus, Electrostatics and Magnetostatics, Maxwell''''s equations, Plane waves propagation, Transmission lines theory, Waveguides and antennas introduction |
| EE309 | Communication Systems Lab | Lab | 3 | Experiments on AM/FM modulation and demodulation, Digital modulation schemes implementation, Spectrum analysis of modulated signals, Noise effects in communication |
| EE311 | Microprocessors and Microcontrollers Lab | Lab | 3 | Assembly language programming exercises, Interfacing with I/O devices (LEDs, LCDs), Timer and interrupt programming, Embedded system development with microcontrollers |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE302 | Digital Signal Processing | Core | 8 | Discrete-time signals and systems, Z-transform and its applications, Discrete Fourier Transform (DFT) and FFT, IIR filter design techniques, FIR filter design techniques, Multirate signal processing |
| EE304 | Integrated Circuit Design | Core | 8 | CMOS technology and fabrication, CMOS inverter characteristics, Combinational logic design using CMOS, Sequential logic design using CMOS, VLSI design flow (front-end to back-end), Design rules and layout considerations |
| EE306 | Instrumentation and Measurement | Core | 8 | Principles of measurement, Transducers and sensors, Measurement bridges, Oscilloscopes and signal generators, Data acquisition systems, Virtual instrumentation |
| EE308 | Digital Signal Processing Lab | Lab | 3 | Implementation of FIR/IIR filters, FFT computation and analysis, Real-time signal processing applications, DSP processor programming, Audio and image processing basics |
| EE451 | Project I (B.Tech) | Project | 6 | Problem identification and literature survey, Methodology development, Preliminary design and simulation, Basic experimental setup/data collection |
| EE432 | Error Control Coding | Elective | 6 | Linear block codes, Cyclic codes, BCH codes and Reed-Solomon codes, Convolutional codes, Viterbi algorithm for decoding, Trellis coded modulation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE401 | Wireless Communication | Core | 8 | Wireless channel characteristics, Fading and diversity techniques, Cellular concept and system design, Multiple access techniques (FDMA, TDMA, CDMA, OFDMA), MIMO systems and beamforming, Introduction to wireless standards (GSM, LTE, 5G) |
| EE403 | Machine Learning for Electrical Engineering | Core | 8 | Supervised and unsupervised learning, Regression and classification algorithms, Introduction to deep learning, Neural networks fundamentals, Applications in power systems, Machine learning in signal processing |
| HS XXX | Humanities and Social Sciences Elective II | Elective | 6 | Advanced topics in social sciences, Critical thinking and argumentation, Communication in professional contexts, Ethics and societal impact of technology, Global issues and perspectives |
| EE452 | Project II (B.Tech) | Project | 6 | Advanced experimental/simulation work, Data analysis and interpretation, Technical report writing, Project presentation and demonstration, Problem refinement and scope management |
| EE433 | Information Theory and Coding | Elective | 6 | Entropy and mutual information, Channel capacity, Shannon''''s noisy channel coding theorem, Source coding techniques (Huffman, Lempel-Ziv), Channel coding basics, Rate distortion theory |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE402 | Fiber Optic Communication | Core | 8 | Optical fiber types and characteristics, Signal degradation in optical fibers, Optical sources (LEDs, Lasers), Optical detectors (PIN, APD), Optical amplifiers, Wavelength Division Multiplexing (WDM) |
| ID XXX | Open Elective I | Elective | 6 | Topics from other engineering disciplines, Management or entrepreneurship, Interdisciplinary scientific concepts, Data science or artificial intelligence applications, Environmental studies or sustainability |
| EE531 | Advanced Digital Signal Processing | Elective | 6 | Adaptive filters (LMS, RLS), Optimal filtering (Wiener, Kalman), Parametric and non-parametric spectral estimation, Wavelet transforms and multiresolution analysis, Multidimensional signal processing, Compressive sensing basics |
| EE536 | RF and Microwave Engineering | Elective | 6 | Transmission line theory, Smith chart applications, S-parameters and network analysis, Impedance matching techniques, Passive and active microwave devices, Antenna theory and design |
| EE551 | M.Tech Project I (Dual Degree) | Project | 9 | Advanced research problem formulation, Extensive literature review, Defining research objectives and scope, Initial design/simulation for M.Tech thesis, Developing a comprehensive data collection plan |
Semester 9
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE601 | Advanced Digital Communication | Core | 8 | Optimal receivers and detection theory, Spread spectrum communication, Orthogonal Frequency Division Multiplexing (OFDM), MIMO systems and signal detection, Cooperative communication, Cognitive radio networks |
| EE603 | Statistical Signal Processing | Core | 8 | Random processes and stochastic models, Ergodicity and stationarity, Wiener filters (LMS, RLS), Kalman filtering and estimation, Parameter estimation (ML, MAP), Signal detection theory |
| EE631 | Image and Video Processing | Elective | 6 | Image enhancement and restoration, Image segmentation techniques, Feature extraction from images, Image compression standards, Video coding fundamentals, Motion estimation and compensation |
| EE635 | Wireless Sensor Networks | Elective | 6 | WSN architectures and deployments, MAC protocols for WSNs, Routing protocols in WSNs, Localization techniques, Time synchronization, Security issues and applications of WSNs |
| EE651 | M.Tech Project II (Dual Degree) | Project | 12 | In-depth research and experimentation, Prototype development or extensive simulation, Performance analysis and evaluation, Preparation of intermediate project report, Critical analysis of results |
Semester 10
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE701 | Advanced Topics in Communication and Signal Processing | Core | 8 | Recent trends in 5G/6G communication, IoT communication paradigms, Machine learning in DSP applications, Quantum communication basics, Biomedical signal processing, Network security in communication systems |
| EE637 | Deep Learning for Signal Processing | Elective | 6 | Neural network architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs and Transformers, Autoencoders and GANs, Applications in audio, speech, image processing |
| ID XXX | Open Elective II | Elective | 6 | Advanced interdisciplinary topics, Entrepreneurship and startup ecosystem, Advanced data analytics, Specialized computing paradigms, Societal impact of technology |
| EE751 | M.Tech Project III (Dual Degree) | Project | 18 | Final system implementation and validation, Comprehensive performance evaluation, M.Tech thesis writing and documentation, Thesis defense and viva-voce, Exploring publication avenues for research work |
