Regulations, Curriculum and Syllabi

S.No	Programmes	Downloads (curriculum & syllabi)
	U.G Programmes
1.	B.Tech. Computer Science and Engineering Regulations 2021 (Amended upto December 2023)	Click Here
	B.Tech Open elective courses of Regulations 2021	Click Here
	B.Tech. Computer Science and Engineering Regulations 2021 (Amended upto February 2022)	Click Here
	B.Tech. Computer Science and Engineering R2017 (Amended upto July 2021)	Click Here
	B.Tech. Computer Science and Engineering R2017 (Amended upto June 2020)	Click Here
	B.Tech. Computer Science and Engineering R2017 (Updted upto August 2019)	Click Here
	B.Tech. Computer Science and Engineering R2013 (Updted upto August 2019)	Click Here
2.	B.Tech. Artificial Intelligence & Data Science Regulations 2021 (Amended upto September 2024)	Click Here
	B.Tech. Artificial Intelligence & Data Science Regulations 2021 (Amended upto April 2023)	Click Here
	B.Tech. Artificial Intelligence & Data Science Regulations 2021 (Amended upto February 2022)	Click Here
	B.Tech. Artificial Intelligence & Data Science R2017 (Amended upto July 2021)	Click Here
	B.Tech. Artificial Intelligence & Data Science R2017 (Amended upto June 2020)	Click Here
3.	B.Tech. CSE (Cyber Securtiy) Regulations 2021 (Amended upto April 2023)	Click Here
	B.Tech. CSE (Cyber Securtiy) Regulations 2021 (Amended upto February 2022)	Click Here
	B.Tech. CSE (Cyber Securtiy) R2017 (Amended upto February 2022)	Click Here
4.	B.Tech. CSE (Internet of Things) Regulations 2021 (Amended upto April 2023)	Click Here
	B.Tech. CSE (Internet of Things) Regulations 2021 (Amended upto February 2022)	Click Here
	B.Tech. CSE (Internet of Things) R2017 (Amended upto July 2021)	Click Here
	B.Tech. CSE (Internet of Things) R2017 (Amended upto June 2020)	Click Here
	P.G Programmes
2.	M.Tech. Artificial Intelligence & Data Science Regulations 2022 (Amended upto April 2023)	Click Here
	M.Tech. Artificial Intelligence & Data Science Regulations 2022	Click Here
	M.Tech. (Artificial Intelligence & Data Science) Regulations 2019 (Amendments updated upto February 2022)	Click Here
3.	M.Tech. Computer Science & Engineering Regulations 2022 (Amended upto September 2024)	Click Here
	M.Tech. Computer Science & Engineering Regulations 2022 (Amended upto April 2023)	Click Here
	M.Tech. Computer Science & Engineering Regulations 2022	Click Here
	M.Tech. Computer Science & Engineering R2019 (Amended upto July 2021)	Click Here
	M.Tech. Computer Science & Engineering R2019 (Amended upto June 2020)	Click Here
	M.Tech. Computer Science and Engineering R2019	Click Here
	M.Tech. Computer Science and Engineering R2016 (Updted upto August 2019)	Click Here
4.	Ph.D

B.Tech. Computer Science and Engineering

Programme Educational Objectives

• To introduce the fundamentals of science and engineering concepts essential for a computer engineer.
• To inculcate the knowledge of mathematical foundations and algorithmic principles for effective problem solving.
• To provide knowledge in computer science, modeling & design of computer based systems.
• To impart knowledge to analyze, design, test and implement software required for various applications.
• To hone personality skills, trigger social commitment and inculcate societal responsibilities.

Programme Outcomes

• Analyse and build models applying the knowledge of mathematics, statistics, electronic, electrical and computer science discipline and solve the problem.
• Identify the sources of information for data collection, design and conduct the experiments and interpret the result.
• Think out-of-the box and solve the real time problems using their creativity in designing human friendly software systems.
• Comprehend computer engineering concepts ofthe new research developments and apply them to develop relevant software and hardware products.
• 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.
• Apply the computing knowledge to solve the socially relevant problems.
• Understand the impact of engineering solutions in global, economic, environmental, societal context and apply it in exploring the new developments, research trends and involve them in research.
• Develop professional integrity by understanding and appreciating professional, legal, ethical, cyber security and related issues and act with responsibility.
• Communicate, collaborate and work as a team by involving in the group projects of multi-disciplinary nature.
• To prepare documents as per the standards and present effectively to improve software documentation skills.
• Apply the hardware and software project management techniques to estimate the time and human resources required to complete computer engineering projects.
• 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.

Programme Specific Outcomes

• Understand, analyze and develop essential proficiency in the areas related to algorithms, system software, multimedia, web design, big data analytics, networking and apply the knowledge to solve practical problems.
• Apply standard practices and strategies in hardware and software project development using open-ended programming environments for successful career and entrepreneurship.

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B.Tech. Artificial Intelligence & Data Science

Programme Educational Objectives

• To introduce the fundamentals of science and engineering concepts essential for a data architect / data scientist
• To inculcate the knowledge of mathematical foundations and algorithmic principles for effective problem solving
• To provide knowledge in data sciencefor modern computational data analysis and modeling methodologies
• To provide the knowledge in artificial intelligence techniquesand apply them to develop relevant models and real time products
• To impart knowledge to analyze, design, test and implement the model required for various applications
• To hone personality skills, trigger social commitment and inculcate societal responsibilities

Programme Outcomes

• Analyse and build models applying the knowledge of mathematics, statistics, electronic, electrical and computer science discipline and solve the problem
• Identify the sources of information for data collection, design and conduct the experiments and interpret the result
• Think out-of-the box and solve the real time problems using their creativity in designing human friendly software systems
• Comprehend computer engineering concepts of the new research developments and apply them to develop relevant software and hardware products
• 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
• Apply the computing knowledge to solve the socially relevant problems
• Understand the impact of engineering solutions in global, economic, environmental, societal context and apply it in exploring the new developments, research trends and involve them in research
• Develop professional integrity by understanding and appreciating professional, legal, ethical, cyber security and related issues and act with responsibility
• Communicate, collaborate and work as a team by involving in the group projects of multi-disciplinary nature
• To prepare documents as per the standards and present effectively to improve software documentation skills
• Apply the hardware and software project management techniques to estimate the time and human resources required to complete computer engineering projects
• 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

Programme Specific Outcomes

• Understand, analyze and develop essential proficiency in the areas related to data science and artificial intelligence in terms of underlying statistical and computational principlesand apply the knowledge to solve practical problems
• Implement Artificial Intelligence and data science techniques such as search algorithms, neural networks, machine learning and data analytics for solving a problem and designing novel algorithms for successful career and entrepreneurship

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B.Tech. CSE (Internet of Things)

Programme Educational Objectives

• To up skill students with strong foundational concepts and ethically develop innovative and research-oriented methodologies to solve the problems identified
• To prepare students for critical analysis of existing literature in a specialization field and to educate them on advanced techniques and resources that enables them to build solutions or systems of varying complexity
• To educate students about the effective use of Internet of Things (IoT) technology for solving real-life multi-disciplinary problems that cater to the need of society and are economically feasible
• To furnish an environment of life-long learning, professional and ethical attitude & innovation needed for a successful progressive career of students
• To produce graduates that have a strong technical foundation for successful professional careers and evolves as key players/ entrepreneurs in the field of information technology

Programme Outcomes

• Analyse and build models applying the knowledge of mathematics, statistics, electronic, electrical and computer science discipline and solve the problem
• Identify the sources of information for data collection, design and conduct the experiments and interpret the result
• Think out-of-the box and solve the real time problems using their creativity in designing human friendly software systems
• Comprehend computer engineering concepts of the new research developments and apply them to develop relevant software and hardware products
• 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
• Apply the computing knowledge to solve the socially relevant problems
• Understand the impact of engineering solutions in global, economic, environmental, societal context and apply it in exploring the new developments, research trends and involve them in research
• Develop professional integrity by understanding and appreciating professional, legal, ethical, cyber security and related issues and act with responsibility
• Communicate, collaborate and work as a team by involving in the group projects of multi-disciplinary nature
• To prepare documents as per the standards and present effectively to improve software documentation skills
• Apply the hardware and software project management techniques to estimate the time and human resources required to complete computer engineering projects
• 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

Programme Specific Outcomes

• Capable of implementing eco-friendly unified solutions for present and new applications related to IoT technology and applications
• Focus on getting the right blend of aptitude and attitude to be the candidate of the first choice for jobs and higher learning or to become a successful entrepreneur and a respectable citizen

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B.Tech. CSE (Cyber Securtiy)

Programme Educational Objectives

• To introduce the fundamentals of science and engineering concepts essential for a computer engineer
• To inculcate the knowledge of mathematical foundations and algorithmic principles for effective problem solving
• To provide knowledge in computer systems and professional skills in prevention, investigation and alleviate the cyber-attacks
• To impart knowledge to analyze, design, test and implement software required for various applications
• To hone personality skills, trigger social commitment, inculcate societal responsibilities and implementation of best security practices

Programme Outcomes

• Analyse and build models applying the knowledge of mathematics, statistics, electronic, electrical and computer science discipline and solve the problem
• Identify the sources of information for data collection, design and conduct the experiments and interpret the result
• Think out-of-the box and solve the real time problems using their creativity in designing human friendly software systems
• Comprehend computer engineering concepts of the new research developments and apply them to develop relevant software and hardware products
• 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
• Apply the computing knowledge to solve the socially relevant problems
• Understand the impact of engineering solutions in global, economic, environmental, societal context and apply it in exploring the new developments, research trends and involve them in research
• Develop professional integrity by understanding and appreciating professional, legal, ethical, cyber security and related issues and act with responsibility
• Communicate, collaborate and work as a team by involving in the group projects of multi-disciplinary nature
• To prepare documents as per the standards and present effectively to improve software documentation skills
• Apply the hardware and software project management techniques to estimate the time and human resources required to complete computer engineering projects
• 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

Programme Specific Outcomes

• Understand, analyze and develop essential proficiency in the areas related to algorithms, multimedia, web design, big data analytics, networking, cyber security and apply the knowledge to solve practical problems
• Apply standard practices and strategies in IT security products for successful career and entrepreneurship

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M.Tech. Computer Science & Engineering

Programme Educational Objectives

• To provide advanced knowledge and skills in the field of Computer Science and Engineering
• To provide essential skill sets needed for Software Development as per the Industry requirements
• To instill confidence and provide necessary ambience to take up fundamental as well as applied Research in Computer related domains with social relevance
• To impart required analytical skills and tools for solving problems with varied complexity
• To hone necessary skills to effectively communicate, work as a team for a successful professional career

Programme Outcomes

On completion of the programme the graduates will

• Have the capability to design and develop computer based systems for different domains
• Be able to apply the knowledge of computing tools and techniques for solving real life problems encountered in Software Industries
• Be able to pursue quality research in areas of social relevance
• Be able to work as a team exhibiting effective managerial skills

Programme Specific Outcomes

• Design, Analyze and develop essential proficiency in the areas related to algorithms, networking, web design, big data analytics, cloud computing, security, IoT and apply the knowledge to solve real world problems
• Apply the knowledge of computer science in various domains to identify research gaps and provide solutions in an optimized way

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M.Tech – Artificial Intelligence & Data Science

Programme Educational Objectives

• Applying the knowledge acquired in the Computational models, Knowledge Engineering to develop intelligent and Smart systems for the industrial problems.
• Design solutions for real world problems that involve acquiring variety of data from multiple sources using Data Science.
• Imbibing a scientific perspective to pursue research in Artificial Intelligence and Data Science using Mathematical, Engineering, and Computational tools.

Programme Outcomes

On successful completion of the programme, the graduates will be able to

• Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• Identify, formulate, research literature, and analyses complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• 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.
• 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.
• 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.
• 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.
• Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
• Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• 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.
• 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.
• 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.

Programme Specific Outcomes

• To assess, design, and implement ethical, long-term solutions in the discipline of Artificial Intelligence and Data Science
• To apply problem-solving skills and programming concepts to build a variety of solutions in an interdisciplinary domains