B.TECH. ELECTRONICS AND COMMUNICATION ENGINEERING (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING)
The Electronics and Communication Engineering (ECE) program at SRU stands out for its innovative education delivery mechanism and well-balanced academic framework, crafted by eminent academicians, researchers, and industry professionals. The curriculum integrates science, mathematics, engineering, and technology with humanities, professionalism, and industry practices, ensuring students develop into well-rounded and industry-ready individuals by the end of their four-year journey. To enhance career prospects in emerging fields, students can opt for a minor degree alongside their major such as a Minor in Data Science along with a B.Tech in Electronics and Communication Engineering. This unique combination equips students with advanced analytical skills, enabling them to apply data science techniques to a wide range of communication and technology challenges, preparing them to excel globally in data-driven applications.
4 years (8 semesters)
The outcomes of this course prepare students to pursue higher education opportunities globally.
Industry-focused courses such as Artificial Intelligence and Machine Learning, Embedded Systems, Internet of Things, and VLSI prepare students for successful placements in semiconductor, electronics, and IT sectors.
Dedicated support for internships and placements ensures exceptional career outcomes.
A series of industrial visits, workshops, hackathons, and project showcases help students engage with professionals from the industry.
Personalized mentorship and professional guidance are provided at every stage of the academic journey.
Strong partnerships through MoUs with universities and industry partners enhance research, innovation, and industry exposure.
State-of-the-art laboratory facilities support hands-on experiential learning.
Wellness initiatives include certified training sessions in martial arts and psychological counseling for students.
Recognition and awards for departmental toppers promote academic excellence.
Orientation programs for new students and farewell celebrations for graduating batches foster community spirit.
Parent-teacher meetings are conducted twice every semester to track student progress.
Clubs and NSS activities are given focused time to promote holistic student growth.
Students gain research experience that enables them to transform project ideas into academic publications.
Interdepartmental sports activities encourage teamwork and physical well-being.
Semiconductor Fabrication
Industrial Automation
Telecommunications
Robotics and Automation
Software Development
PEO 1: Design and develop innovative products in the field of Electronics and Communication Engineering.
PEO 2: Pursue higher education or professional development for life-long learning.
PEO 3: Demonstrate entrepreneurial capabilities and contribute to community development through innovative and ethical practices.
PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
PSO1: Apply mathematics, electronics, and computing fundamentals to design electronic systems, considering trade-offs in design choices.
PSO2: Utilize modern technologies and system software to develop products from physical devices to application-level solutions.
The program in Electronics and Communication Engineering (Artificial Intelligence and Machine Learning) is designed with learning solutions that impart knowledge of advanced innovations like machine learning (often called deep learning) and artificial intelligence. This program discusses AI methods based in different fields, including neural networks, VLSI, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. Increasing number of companies these days are focusing on various disruptive technologies for reaching out to customers effectively.
At the end of the program, graduates will have conceptual understanding on the following components of Artificial Intelligence and Machine Learning: Python, Machine Learning, Neural Networks, Deep Learning and natural Language Processor.
Students of the program will have an opportunity to work as iScholars at the Center for Artificial Intelligence and Deep Learning (CAIDL) which helps to expand their intellectual horizons and make them industry-ready. A student can also explore other interdisciplinary research centers@SRU
This is a specialized program designed to help students build a robust foundation and acquire cutting-edge skills in the principles of Artificial Intelligence and Machine Learning through a curriculum that combines theory and practice in equal measures.
The curriculum prepares students to take on complex challenges in the real world. It includes courses like natural language processing, cognitive modeling and applications of AI in blockchain, knowledge representation, and probabilistic models.
The program focuses on the programming skills, reasoning abilities, and communication skills, thereby molding successful future data scientists and hi-tech researchers.
CAREER OPPORTUNITIES:
Automotive
Medical electronics
E- Commerce
Software
Robotics
Tata motors
Siemens
Amazon
IBM
iRobot
Software Analysts
Algorithm Specialists
Research Scientists
Engineering Consultants.
Data analysts
