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M-TECH in Communication And Signal Processing at Indian Institute of Technology Indore
Indore, Madhya Pradesh
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About the Specialization
What is Communication and Signal Processing at Indian Institute of Technology Indore Indore?
This Communication and Signal Processing program at IIT Indore focuses on equipping students with advanced theoretical knowledge and practical skills in the rapidly evolving fields of digital communication, signal processing, and their applications. It addresses the growing demand for specialized engineers in India''''s telecommunications, defense, and digital media industries, offering a strong foundation for research and development.
Who Should Apply?
This program is ideal for engineering graduates with a background in Electrical, Electronics, or Computer Science, holding a valid GATE score, who aspire to innovate in communication technologies. It also suits working professionals seeking to enhance their expertise in advanced signal processing algorithms, machine learning for signals, or wireless communication systems to meet industry challenges.
Why Choose This Course?
Graduates of this program can expect promising career paths in leading Indian and multinational companies as R&D engineers, system designers, or research scientists. Roles include developing 5G/6G technologies, AI-driven signal analytics, and embedded systems. Starting salaries in India typically range from INR 8-15 LPA, with significant growth potential in specialized roles.
Student Success Practices
Foundation Stage
Strengthen Core Mathematical & Research Skills- (Semester 1)
Dedicate time to thoroughly understand advanced engineering mathematics and research methodologies. Actively participate in problem-solving sessions, collaborate with peers on assignments, and begin exploring academic papers relevant to your specialization. This builds a robust analytical foundation.
Tools & Resources
NPTEL courses on advanced mathematics, MATLAB/Python for numerical analysis, IEEE Xplore, Google Scholar
Career Connection
Strong analytical skills are crucial for understanding complex systems and for future research and development roles.
Master Advanced DSP & Communication Fundamentals- (Semester 1)
Focus intensively on Advanced Digital Signal Processing and Advanced Communication Systems. Implement algorithms discussed in class using software like MATLAB or Python. Engage in mini-projects to apply theoretical concepts, fostering a deep understanding of core techniques like filter design, modulation, and coding.
Tools & Resources
MATLAB, Python (SciPy, NumPy), GNU Radio, Textbooks by Oppenheim, Proakis, Sklar
Career Connection
Proficiency in these core areas is directly applicable to R&D positions in telecom, defense, and embedded systems.
Strategic Elective Selection & Institute Engagement- (Semester 1-2)
Carefully choose specialization and institute electives that align with your long-term career goals and research interests. Attend departmental seminars, workshops, and guest lectures. Actively participate in student clubs and professional bodies (e.g., IEEE student chapter) to broaden your network and gain exposure.
Tools & Resources
Departmental notice boards, Faculty consultations, LinkedIn for professional networking, IEEE student events
Career Connection
Focused elective choices build expertise, while networking can open doors to internships and industry contacts.
Intermediate Stage
Deep Dive into Research Project Part I- (Semester 2)
Begin your research project (RP-I) with a clear problem statement and a thorough literature review. Work closely with your faculty advisor, develop initial prototypes or simulations, and meticulously document your progress. Focus on building a strong foundation for your thesis work.
Tools & Resources
Relevant research papers, Simulation software (e.g., MATLAB, Simulink, NS-3), LaTeX for documentation, GitHub for version control
Career Connection
This stage is critical for developing research acumen, problem-solving skills, and demonstrating independent work, highly valued by R&D employers.
Practical Application through Electives & Labs- (Semester 2-3)
Leverage advanced electives to specialize further and seek opportunities for hands-on lab work or projects related to your chosen electives. Aim to apply theoretical knowledge to solve practical problems, perhaps participating in hackathons or technical competitions focused on communication and signal processing.
Tools & Resources
Specialized lab equipment, Open-source signal processing libraries, Kaggle for data challenges, College innovation cells
Career Connection
Practical experience and problem-solving through application-oriented projects make you highly competitive for specialized engineering roles.
Industry Engagement & Internship Pursuit- (After Semester 2)
Actively seek summer internships or research internships with companies or research labs. This provides invaluable industry exposure, helps validate career choices, and builds a professional network. Attend industry events and career fairs to connect with potential employers.
Tools & Resources
College placement cell, LinkedIn, Company career pages, Internship portals (Internshala, LetsIntern)
Career Connection
Internships are often a direct pathway to pre-placement offers and significantly enhance resume value for final placements.
Advanced Stage
Comprehensive Research Project Execution (RP-II)- (Semester 3-4)
Focus on the robust execution of your Research Project Part – II. This involves rigorous experimentation, data analysis, model refinement, and achieving tangible results. Prepare high-quality research papers for conferences or journals to showcase your contribution.
Tools & Resources
Advanced simulation tools, Specialized hardware platforms, Academic publishing guidelines, Peer review with faculty
Career Connection
A strong research project with publications demonstrates deep technical expertise and innovation, highly attractive for R&D and academic careers.
Master Interview & Technical Communication Skills- (Semester 3-4)
Practice technical interviews, focusing on core concepts, algorithms, and project discussions. Enhance your communication skills, both written and verbal, by presenting your research findings effectively and articulating technical concepts clearly. Participate in mock interviews and group discussions.
Tools & Resources
Online coding platforms, Technical interview books, IIT Indore''''s career development cell workshops, Toastmasters International
Career Connection
Excellent communication and interview skills are paramount for securing top placements in core engineering and R&D companies.
Strategic Career Planning & Placement Preparation- (Semester 3-4)
Begin networking actively with alumni and industry professionals in your target sectors. Refine your resume and cover letter to highlight your specialized skills and project experiences. Engage with the placement cell for guidance and participate in campus recruitment drives with a focused approach.
Tools & Resources
Alumni network, LinkedIn, Campus placement portal, Professional mentors, Industry news and trends
Career Connection
Proactive and strategic placement preparation maximizes your chances of landing your desired role in leading Indian tech and communication companies.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s degree in Electrical Engg./Electronics Engg./Electronics & Communication Engg./Instrumentation Engg./Computer Science and Engg. OR Master''''s degree in Electronics/Physics/Mathematics with valid GATE Score in EE/EC/IN/CS/PH/MA. Minimum 6.5 CPI (on a 10 point scale) or 60% marks in qualifying degree. For SC/ST/PwD candidates, the minimum performance in the qualifying degree is 6.0 CPI (on a 10 point scale) or 55% marks.
Duration: 4 semesters / 2 years
Credits: 64 Credits
Assessment: Internal: Not explicitly detailed as percentage split in curriculum document. Follows continuous evaluation system., External: Not explicitly detailed as percentage split in curriculum document. Follows continuous evaluation system.
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE601 | Advanced Engineering Mathematics | Core | 3 | Linear Algebra, Calculus of Variations, Partial Differential Equations, Complex Analysis, Probability & Statistics |
| EE602 | Research Methodology | Core | 3 | Problem Identification, Literature Survey, Experimental Design, Data Analysis, Technical Writing, Research Ethics |
| EE603 | Advanced Digital Signal Processing | Core | 3 | Discrete-time Systems, DFT/FFT, Digital Filter Design, Multi-rate Processing, Adaptive Filters, Spectrum Estimation |
| EE604 | Advanced Communication Systems | Core | 3 | Digital Modulation, Channel Coding, Wireless Channels, MIMO Systems, OFDM, Spread Spectrum |
| EE611 | Information Theory and Coding | Specialization Elective | 3 | Entropy, Mutual Information, Channel Capacity, Source Coding, Channel Coding, Error Detection/Correction |
Semester 2
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE614 | Detection and Estimation Theory | Specialization Elective | 3 | Hypothesis Testing, Bayesian Estimation, Maximum Likelihood Estimation, Cramer-Rao Bound, Kalman Filters, Wiener Filters |
| EE702 | Research Project Part – II | Project | 25 | Advanced Implementation, Experimental Validation, Result Analysis, Thesis Writing, Publication Preparation, Defense Preparation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE702 | Research Project Part – II (Continuation) | Project | 0 | Thesis Finalization, Viva-Voce Examination, Research Publication, Mentorship for juniors, Final documentation |
Semester elective
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE611 | Information Theory and Coding | Specialization Elective | 3 | Entropy, Mutual Information, Channel Capacity, Source Coding, Channel Coding, Error Detection/Correction |
| EE612 | Wireless Communication | Specialization Elective | 3 | Fading Channels, Diversity Techniques, MIMO Systems, Cellular Concepts, 5G/6G Basics, Wireless Standards |
| EE613 | Digital Image Processing | Specialization Elective | 3 | Image Transforms, Image Enhancement, Image Restoration, Image Segmentation, Feature Extraction, Image Compression |
| EE614 | Detection and Estimation Theory | Specialization Elective | 3 | Hypothesis Testing, Bayesian Estimation, Maximum Likelihood Estimation, Cramer-Rao Bound, Kalman Filters, Wiener Filters |
| EE615 | Error Control Coding | Specialization Elective | 3 | Linear Block Codes, Cyclic Codes, BCH Codes, Reed-Solomon Codes, Convolutional Codes, Viterbi Algorithm |
| EE616 | Optical Communication | Specialization Elective | 3 | Optical Fibers, Light Sources/Detectors, Modulation Techniques, Optical Amplifiers, WDM Systems, Fiber Optic Networks |
| EE617 | Satellite Communication | Specialization Elective | 3 | Orbital Mechanics, Link Design, Multiple Access Techniques, Earth Station Technology, VSAT Systems, Satellite Navigation |
| EE618 | Random Processes | Specialization Elective | 3 | Probability Theory Review, Random Variables, Stochastic Processes, Stationary Processes, Ergodicity, Power Spectral Density |
| EE619 | Adaptive Signal Processing | Specialization Elective | 3 | Wiener Filter, LMS Algorithm, RLS Algorithm, Adaptive Equalization, Noise Cancellation, Adaptive Beamforming |
| EE620 | Speech and Audio Processing | Specialization Elective | 3 | Speech Production Models, Feature Extraction, Speech Recognition, Speaker Identification, Audio Compression, Music Signal Analysis |
| EE621 | Millimeter Wave Communication | Specialization Elective | 3 | mmWave Channel Characteristics, Antenna Technologies, Beamforming Techniques, Hybrid Architectures, mmWave for 5G/6G, Applications |
| EE622 | Machine Learning for Signal Processing | Specialization Elective | 3 | Supervised Learning, Unsupervised Learning, Deep Learning Basics, Feature Engineering, Signal Classification, Neural Networks for Signals |
| EE623 | Communication Networks | Specialization Elective | 3 | Network Topologies, OSI/TCP-IP Models, Routing Protocols, Congestion Control, Wireless Sensor Networks, IoT Communication |
| EE624 | Compressive Sensing | Specialization Elective | 3 | Sparse Representation, Measurement Matrix, Reconstruction Algorithms, Restricted Isometry Property, Applications in Imaging, Wireless Communications |
| EE625 | Advanced VLSI for Communications | Specialization Elective | 3 | VLSI Architectures, Digital Design Principles, Communication Subsystems, DSP Architectures, FPGA Implementation, Low-Power Design |
| EE626 | Quantum Computing and Communication | Specialization Elective | 3 | Quantum Mechanics Basics, Qubits, Quantum Gates, Quantum Algorithms, Quantum Key Distribution, Quantum Internet |
| EE627 | Biomedical Signal Processing | Specialization Elective | 3 | Bio-signal Acquisition, ECG, EEG, EMG Processing, Feature Extraction, Noise Reduction, Time-Frequency Analysis, Medical Imaging Processing |
