Signal Processing
Student Intake/Year : 13 (2008-2018) , 14 (2019), 16 (2020)
Duration : 2 years
Course Started : 2008
Engineers are trained in creative design and development of signal processing systems. Signal Processing is a broad engineering discipline that is concerned with extracting, manipulating, and storing information in complex signals. Due to explosion of high-speed internet, cheap IoT devices, and popularity of social media and internet commerce, there has been an unprecedented rate of creation, transmission and storage of data ranging from traditional signals such as speech and sensor data to video streams and user’s preference data. The ever-growing dimensions of the modern-day data have created challenges ranging from storage to computational bottlenecks for extracting information. This has resulted in a paradigm shift towards data-centric solutions, often referred to as Machine Learning. Machine learning (and deep learning) have proven successful in numerous applications such as medical imaging, healthcare, computer vision and robotics. Signal processing graduates gain strong theoretical foundation, expertise in application development and research skills to identify, analyze and solve multi-disciplinary problems pertaining to design, development and deployment of signal processing and machine learning algorithms and undertake system level design for such applications.
Specialties
- Compressive Sampling and Sensing
- Data Science
- Machine Learning & Deep learning
- Biomedical Signal & Image Processing
- Image Processing & Computer Vision
- Statistical Signal Processing & Bayesian Machine Learning
- VLSI Signal Processing
Programme Educational Objectives (PEOs) for M. Tech. in Signal Processing
PEO1: Graduates apply their strong theoretical foundation and research skills to identify, analyze and solve engineering problems pertaining to design, development and deployment of signal processing systems.
PEO2: Graduates demonstrate a high degree of creativity, critical thinking and communication skills for productive and successful careers in industries, R&D organizations and other allied professions.
PEO3: Graduates exhibit their competency to engage in lifelong learning in signal processing and its allied application areas.
PEO4: Graduates possess professionalism, ethical attitude, communication skills, synergistic and leadership qualities and ability to relate engineering solutions to broader social context.
Programme Outcomes (POs) and Programme Specific Outcomes (PSOs) for M.Tech in Signal Processing
PO1: An ability to independently carry out research/investigation and development work to solve practical problems
PO2: An ability to write and present a substantial technical report/document
PO3: Students should be able to demonstrate a degree of mastery over the area as per the specialization of the programme. The mastery should be at a level higher than the requirements in the appropriate bachelor programme
PSO1: Possess strong mathematical skills and in-depth knowledge in signal theory required to analyze and solve complex problems in the domain of signal processing using modern technology and tools that results in optimal solutions and novel products that are technically sound, economically feasible and socially acceptable.
PSO2: Ability to engage in lifelong learning, so as to face the challenges of the rapidly changing environment, by mastering latest technologies and products and adapting skills through reflective and continuous learning.
Curriculum Information
Student information
SP Programme-specific Faculty