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NIRF

Department of Computer
Science and Engineering
(AI & ML)

The Department is experiencing a dynamic phase of growth and opportunity, driven by technological advancements and recognized for its excellence.

Overview

The department is experiencing significant growth, driven by the rapid expansion of technology and its recognition for excellence. This creates abundant opportunities for both students and faculty, fostering innovation, research, and career advancement.

Computer Science And Engineering

Our Vision

To develop competent professionals in Artificial Intelligence and Machine Learning who contribute to technological advancement, ethical innovation, and societal development through quality education and research.

Our Mission

Academic Excellence- Deliver a robust curriculum in Computer Science and AIML that blends theoretical depth with practical application, fostering analytical thinking, problem-solving, and technical proficiency.

Research and Innovation- Promote interdisciplinary research, innovation, and project- based learning in intelligent systems to address real-world challenges.

Ethics and Social Responsibility- Instill ethical values, responsible AI practices, and a commitment to societal well-being through inclusive education, case-based learning, and community-oriented projects.

Career and Lifelong Learning- Enable students to pursue higher studies, global certifications, and industry-aligned careers by nurturing entrepreneurial mindset, professional and lifelong learning skills.

Program Educational
Objectives (PEOs)

PEO 1

Graduates will build successful careers or pursue higher studies in Artificial Intelligence, Machine Learning, and allied domains by applying strong computing fundamentals, analytical skills, and specialized AIML knowledge.

PEO 2

Graduates will contribute to technological advancement and societal development by engaging in ethical innovation, interdisciplinary research, and responsible AI practices.

PEO 3

Graduates will demonstrate professional competence, entrepreneurial mindset, and a commitment to lifelong learning through global certifications, leadership roles, and continuous skill enhancement.

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2nd Year
Semester 1
2nd Year
Semester 1
3rd Year
Semester 1
3rd Year
Semester 2
4th Year
Semester 1
4th Year
Semester 2

Program Specific Outcome Statements (PSOs)

PSO-1

Apply AI/ML algorithms, data analytics, and computational models to
design intelligent, scalable, and ethical solutions for complex
engineering and societal problems.

PSO-2

Develop and deploy AIML applications using modern tools,
frameworks, and platforms.

PSO-3

Conduct research and innovation in advanced areas like generative AI,
computer vision, natural language processing, and autonomous systems,
contributing to academic and industrial advancements.

Program Outcomes

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Identify, formulate, review research literature, and analyze 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 contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.

 

Understand the impact of the professional engineering solutions insocietal 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 them to one’s work as a member and a leader of a team, in managing projects in a multidisciplinary environment.

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.

Our Faculty

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Dec 18 - Apr 19
Jul 18 - Nov 18
Dec 17 - Apr 18
Jul 17 - Nov 17

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Research and Innovation- Promote interdisciplinary research, innovation, and project- based learning in intelligent systems to address real-world challenges.

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