B.E Computer science and Engineering
About
The B.E. program in Computer Science and Engineering (CSE) at J.N.N Institute of Engineering is designed to equip students with a strong foundation in computer science principles and practical skills that meet the evolving needs of the global technology industry. The department is proud to be NBA accredited since 2024, recognizing our commitment to quality education, academic excellence, and continuous improvement.
Affiliated with Anna University and approved by AICTE, the program integrates core concepts with modern computing technologies, fostering innovation, ethical responsibility, and a lifelong learning mindset among students.
The curriculum covers a wide range of subjects including programming, data structures, algorithms, operating systems, computer networks, artificial intelligence, cloud computing, and cybersecurity. Students gain extensive hands-on experience through well-equipped laboratories, industry-oriented projects, and real-time problem-solving exercises.
Accredited by the AICTE and affiliated with Anna University, the program aims to develop skilled professionals who are ready to tackle the challenges of the evolving tech landscape.
With a curriculum tailored to industry demands, the program covers key areas such as machine learning, deep learning, data visualization, big data analytics, natural language processing, and robotics. Students gain hands-on experience with tools and technologies like Python, R, TensorFlow, Keras, and cloud platforms, ensuring they are well-prepared to meet the challenges of tomorrow’s tech landscape.
Why Choose CSE at J.N.N?
- NBA Accredited (2024): National-level recognition for quality and standards in technical education
- Contemporary Curriculum: Balances theoretical foundation with industry-relevant skills
- Modern Labs & Infrastructure: Industry-grade tools and software environments
- Experienced Faculty: Academicians with rich research and industry exposure
- Career-Oriented Training: Internships, certifications, and soft skills programs
- Innovation Support: Hackathons, startup incubation, and tech competitions
Career Prospects:
Graduates of the CSE program are well-positioned for diverse career paths such as:
- Software Developer / Systems Engineer
- AI & Machine Learning Engineer
- Cloud Architect / DevOps Engineer
- Data Scientist / Business Analyst
- Cybersecurity Specialist
- Mobile / Web Application Developer
From the HOD’s Desk
Dr. N Venkateswara Rao
Professor & Head
The Department of Computer Science and Engineering is backed by a team of skilled faculty members and well-equipped computing laboratories that support advanced learning and innovation.Our mission is to nurture technically competent, innovative, and ethically strong professionals who can contribute meaningfully to the ever-evolving IT industry. With a team of dedicated faculty, industry-aligned curriculum, and modern lab facilities, we focus on experiential learning, research, and holistic student development.We encourage our students to stay ahead through certifications, internships, hackathons, and real-time projects. We are proud of our students’ achievements and remain committed to empowering them for successful careers and lifelong learning.
Vision - Mission
Vision:
To produce globally competent, quality computer professionals and toinculcate the spiritof moral values for the cause of development of our nation.
Mission:
- Establish closer and symbolic relationship with IT industries and expose the students to the cutting edge technological advancements
- Provide impetus and importance to beyond curriculum learning and thereby provide an opportunity for the student community to keep them updated with latest and socially relevant technology
PO/PSO/PEO
Program Outcomes (POs):
Engineering Graduates will be able to:
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
- 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.
- 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.
- 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.
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.
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.
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. 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities withthe 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 andr eceive clear instructions.
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.
- 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.
Programme Specific Objectives (PSO’s)
- Exhibit design and programming skills to build and automate business solutions usingcutting edge technologies.
- Strong theoretical foundation leading to excellence and excitement towards research,to provide elegant solutions to complex problems.
- Ability to work effectively with various engineering fields as a team to design, buildand develop system applications
Program Educational Objectives (PEOs)
Bachelor of Computer Science and Engineering curriculum is designed to prepare the graduates having attitude and knowledge to
- Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
Conduct cutting edge research and develop solutions on problems of social relevance.
- Work in a business environment, exhibiting team skills, work ethics,adaptability and lifelong learning.
Faculty
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Mr M KarthikeyanAssistant Professor Specialization Systems and Networks |
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Mr.A IyyanarappanAssistant Professor Specialization Computer Science and Engineering |
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Mr.P BalamuruganAssistant Professor Specialization Information Technology |
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Mr.A GeethanjaliAssistant Professor Specialization Computer Science and Engineering |
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Mr.K Philip VinodAssistant Professor Specialization Information Technology |
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Mrs. Vanishree SaravananAssistant Professor Specialization Information Technology |
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Mr.E BalamuruganAssistant Professor Specialization Information Technology |
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Ms.P PriyaAssistant Professor Specialization Computer Science and Engineering |
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Mr R.KarthikeyanAssistant Professor Specialization Information Technology |
Lab Facilities
The Department of Computer Science and Engineering at J.N.N Institute of Engineering provides industry-grade laboratory infrastructure that bridges academic concepts with real-time innovation. These labs play a critical role in building technical mastery, research capabilities, and product development skills. The department proudly holds NBA Accreditation (2024), validating its commitment to quality and innovation in technical education.
Core Technical Labs
- Apple iOS Application Development Lab
Powered by Apple India, this cutting-edge lab empowers students to design and build real-time iOS applications using Swift, Xcode, and macOS systems. It fosters innovation in mobile app development aligned with Apple’s global ecosystem. - Intel Unnati Data-Centric Lab
A premier lab supported by Intel, equipped with high-performance computing systems for AI, Data Science, and Edge Computing. It bridges students with Intel’s industry-relevant tools and curricula, nurturing future-ready engineers. - Tech Excellence Lab
An institutional initiative focused on emerging technologies including IoT, Full Stack Development, and AR/VR. Students engage in interdisciplinary projects, innovation challenges, and startup incubation activities. - CISCO Networking Academy
Offers certification-aligned training in networking and security using Cisco hardware and NetAcad platform. - Centre for Cloud Computing
Facilitates cloud-native application development, CI/CD practices, and real-time SaaS deployment. - Centre for SaaS (Software-as-a-Service)
Prepares students to design scalable cloud applications and multi-tenant platforms. - Computer Programming Lab – Strengthens coding fundamentals in C, C++, Python with problem-solving tasks.
- Computer Networks Lab – Hands-on with protocol simulation, routing, subnetting using Cisco Packet Tracer and real routers.
- Artificial Intelligence & Machine Learning Lab
A dedicated setup for AI/ML model development using TensorFlow, Keras, and Python. Students build intelligent systems and participate in real-time projects. - Cloud Computing Lab
Hands-on with AWS, Azure, and Docker for cloud-based deployment, virtualization, and microservices.
Curriculum and Syllabus
Regulation 2022 – View/Download
Professional Society
The Department of Computer Science and Engineering at J.N.N Institute of Engineering actively promotes student engagement in premier professional societies to foster technical leadership, innovation, and global networking.
Our Key Associations:
- CSI (Computer Society of India) – Student chapter organizing tech talks, coding events, and workshops.
- IEEE Student Branch – Encourages research, publishing, and participation in national and international conferences.
- ISTE (Indian Society for Technical Education) – Drives faculty and student development programs.
- IEI (Institution of Engineers – CSE Division) – Promotes interdisciplinary collaboration and real-world engineering exposure.
MOU
Internship
The Department of Computer Science and Engineering ensures students gain real-world exposure through industry-driven internships as part of their academic journey. Our students actively intern with top IT firms, startups, R&D centers, and government organizations, bridging classroom learning with practical experience.
Highlights:
- Internships in leading companies like TCS, Infosys, Zoho, Capgemini, Cognizant, Virtusa, and emerging tech startups.
- Opportunities in cutting-edge domains: AI/ML, Data Science, Cloud Computing, Cybersecurity, Full Stack Development, and more.
- Support from Industry Connect Cell and Placement Office for internship mapping and mentoring.
- Students work on live projects, develop real-time applications, and gain exposure to agile practices, version control, and team collaboration.
Value Added Course
To bridge the gap between academics and industry expectations, the Department of Computer Science and Engineering at J.N.N Institute of Engineering offers a range of value-added courses that empower students with emerging technology skills and industry certifications.
Key Offerings:
- Full Stack Development
- Python Programming with Data Science
- Artificial Intelligence & Machine Learning
- Cybersecurity & Ethical Hacking
- Cloud Computing with AWS & Azure
- Mobile App Development (iOS & Android)
- Internet of Things (IoT)
- UI/UX Design and Figma Tools
These programs are delivered through industry experts, certified trainers, and in partnership with leading platforms like ICT Academy, Red Hat, Infosys Springboard, and Apple University Program.
