Computer Science and Engineering

Leading innovation in computing and software development with cutting-edge technologies

Computer Science Department
B.E. Computer Science

Department of Computer Science and Engineering

The Department of Computer Science and Engineering at SVHEC is committed to excellence in education, research, and innovation. We prepare students for dynamic careers in software development, artificial intelligence, cybersecurity, and emerging technologies.

Industry-aligned curriculum with latest technologies
State-of-the-art computer laboratories
Expert faculty with industry experience
Strong industry partnerships and placements

About the Department

The Department of Computer Science and Engineering (CSE) was established in 2008. Ever since its setting up, the department has been a pioneering academic centre for higher education, research, and innovation in key areas of computer science and Engineering. The CSE Department has well established laboratories with good computing facilities, software tools and applications to provide practical exposure to students. The continuously changing dynamics of this Engineering stream poses challenges to students to stay updated with the latest developments. Our qualified faculty and equipped labs ensure that our students are well prepared to take on these challenges. The department is a focus for talented students from all over India. All graduates of CSE find excellent placements in core industries and leading IT Companies.

Vision

Produce competent Computer and IT professionals with skills in software and hardware, scientific temper, values, ethics, team spirit and capabilities to face new challenges.

Mission
  • Provide conducing learning environment with state-of-the-art infrastructure facilities, laboratories and teaching learning systems.
  • Produce skilled Computer Engineers with skills towards employability, leadership, communication skills with social responsibilities and ethical values.
  • Inculcate Professional skills to function as proficient computer engineers, programmers and designers capable of building sustainable software and hardware systems and infrastructure for the society.
  • Promote research and development activities in the rapidly changing technologies related to Computer Engineering and allied domains.

Programme Educational Objectives

Basic Skills

To analyze, design and develop computing solutions by applying foundational concepts of Computer Science and Engineering.

Technical Skills

To enable graduates to pursue higher education and research, or have a successful career in industries associated with Computer Science and Engineering, or as entrepreneurs.

Managerial Skills

To ensure that graduates will have the ability and attitude to adapt to emerging technological changes.

Programme Outcomes

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 specified needs with consideration for public health, safety, and cultural, societal, and environmental factors.

Conduct investigations of complex problems

Use research-based knowledge and methods including experiments, analysis, interpretation of data, and synthesis of 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 contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to professional engineering practice.

Environment and sustainability

Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate knowledge of sustainable development.

Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of 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 with the engineering community and society, such as writing reports, designing documentation, making presentations, and giving and receiving clear instructions.

Project management and finance

Demonstrate knowledge and understanding of engineering and management principles and apply them to one’s own work, as a team member or leader, to manage projects 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 broad context of technological change.

Programme Specific Outcomes

Computing Solutions

Excel in analyzing, designing, and developing computing solutions by applying foundational concepts of Computer Science and Engineering.

Professional Practice

Apply software engineering principles and practices for developing quality software for scientific and business applications.

Emerging Technologies

Exhibit emerging ICT to innovate ideas and solutions to existing or novel problems.

4 Years

Program Duration

120

Annual Intake

95%+

Placement Rate

AICTE

Approved

Academic Curriculum

Our curriculum is designed to provide comprehensive knowledge in computer science fundamentals while keeping pace with industry requirements and emerging technologies.

First Year - Foundation
  • Engineering Mathematics - I & II
  • Engineering Physics
  • Engineering Chemistry
  • Basic Electrical Engineering
  • Programming for Problem Solving
  • Engineering Graphics
  • English Communication
  • Environmental Science
Second Year - Core Fundamentals
  • Data Structures and Algorithms
  • Computer Organization
  • Object Oriented Programming
  • Discrete Mathematics
  • Database Management Systems
  • Operating Systems
  • Computer Networks
  • Software Engineering
Third Year - Specialization
  • Design and Analysis of Algorithms
  • Computer Graphics
  • Web Technologies
  • Artificial Intelligence
  • Machine Learning
  • Compiler Design
  • Mobile Application Development
  • Cloud Computing
Fourth Year - Advanced & Project
  • Cybersecurity
  • Data Science
  • Internet of Things
  • Big Data Analytics
  • Blockchain Technology
  • Project Work
  • Industry Internship
  • Professional Electives
Regulations & Syllabus

Our Faculty Team

Our department is proud to have a team of highly qualified and experienced faculty members who are committed to excellence in teaching and research.

Dr.T.SENTHILPRAKASH M.E, Ph.D
Dr.T.SENTHILPRAKASH

Professor

Qualification: M.E, Ph.D

Experience:

Dr.R.SENTHILKUMAR M.E, Ph.D
Dr.R.SENTHILKUMAR

Associate Professor

Qualification: M.E, Ph.D

Experience:

T.ARUNPRAKASH M.E.,
T.ARUNPRAKASH

Associate Professor

Qualification: M.E

Experience:

K.G.GEERTHIDEVI M.E.,
K.G.GEERTHIDEVI

Associate Professor

Qualification: M.E

Experience:

D.SENTHILKUMAR M.TECH
D.SENTHILKUMAR

Associate Professor

Qualification: M.TECH

Experience:

K.PRATHIPA M.E.,
K.PRATHIPA

Associate Professor

Qualification: M.E

Experience:

P.KALAISELVI M.E.,
P.KALAISELVI

Associate Professor

Qualification: M.E

Experience:

P.LOGESHWARI M.E.,
P.LOGESHWARI

Associate Professor

Qualification: M.E

Experience:

J SENTHIL KUMAR M.E.,
J SENTHIL KUMAR

Associate Professor

Qualification: M.E

Experience:

K.INDHUMATHI M.E.,
K.INDHUMATHI

Associate Professor

Qualification: M.E

Experience:

S.MAHALAKSHMI M.E.,
S.MAHALAKSHMI

Associate Professor

Qualification: M.E

Experience:

S.KOKILA M.E.,
S.KOKILA

Associate Professor

Qualification: M.E

Experience:

R.BALUSAMY M.E.,
R.BALUSAMY

Associate Professor

Qualification: M.E

Experience:

P.MURUGAPRIYA M.E.,
P.MURUGAPRIYA

Associate Professor

Qualification: M.E

Experience:

P.SATHYARAJ M.E.,
P.SATHYARAJ

Associate Professor

Qualification: M.E

Experience:

V.KARTHIKEYANI M.E.,
V.KARTHIKEYANI

Associate Professor

Qualification: M.E

Experience:

N.KOWSALYA M.TECH
N.KOWSALYA

Associate Professor

Qualification: M.TECH

Experience:

D.DEEPANA M.E.,
D.DEEPANA

Associate Professor

Qualification: M.E

Experience:

P.M.MANOCHITRA M.E.,
P.M.MANOCHITRA

Associate Professor

Qualification: M.E

Experience:

R.PREMALATHA M.E.,
R.PREMALATHA

Associate Professor

Qualification: M.E

Experience:

E.ARUN KUMAR M.E.,
E.ARUN KUMAR

Associate Professor

Qualification: M.E

Experience:

T.DEEPIKAA M.E.,
T.DEEPIKAA

Associate Professor

Qualification: M.E

Experience:

D.KARTHIKEYEAN M.E.,
D.KARTHIKEYEAN

Associate Professor

Qualification: M.E

Experience:

D.KAVINKUMAR M.E.,
D.KAVINKUMAR

Associate Professor

Qualification: M.E

Experience:

Prof. Meera Patel

Associate Professor

Qualification: M.Tech in CSE, Ph.D. pursuing

Experience: 10+ years

Specialization: Data Science, Web Technologies

Publications: 20+ research papers

Faculty Achievements
  • Best Teacher Awards from various professional bodies
  • Research grants from DST, AICTE, and industry partners
  • Editorial board members of reputed international journals
  • Keynote speakers at national and international conferences

Department Facilities

Programming Laboratory
  • The Department of Computer Science and Engineering have exemplary Laboratories which are extensively utilized round the year to meet the curriculum requirements.
  • Comfortable furniture is provided in each laboratory for the students to work comfortably.
  • Laboratory notice boards also hand out as a mode to circulate the vision and mission of the department, PEO, PO, and PSO.
  • The Weekly scheduled of the sessions handled in each laboratory is displayed for the respective lab for the users to know the free slots.
  • UPS facility and First Aid measures are available in all the laboratories.
  • Well-furnished laboratories are maintained for ambience regularly.
  • Conditions of chairs/workbenches are in good condition. Chairs are provided for individual students in labs.
  • Labs are equipped with sufficient hardware and licensed software to support academic curriculum.
  • Lighting system is very effective, along with the natural light in the laboratory.
  • Conventional white boards are provided.
  • Sufficient number of windows are available for ventilation and natural light.
  • Experiment boards are available at each laboratory for reference.
  • Department has experienced faculty to educate students in the field of Computer Science and Engineering.
Professional Society - Computer Society of India (CSI)
Overview

The Computer Society of India (CSI) was established in 1965 by a group of IT professionals with a vision to promote knowledge sharing, collaboration, and advancement in the field of Computer Science and Information Technology. Today, CSI is the largest and most professionally managed association for IT professionals in India, with over 100,000 members including software developers, scientists, academicians, project managers, CIOs, CTOs, and IT vendors. With 488 student branches and 73 chapters across the nation, CSI continues to expand, aiming to spread technical knowledge and provide opportunities to aspiring professionals.

Objectives
  • Promote learning and idea exchange in Computer Engineering and Technology Systems.
  • Facilitate knowledge sharing, research, and career enhancement.
  • Encourage students to publish articles in CSI communications and journals.
  • Provide access to conferences, seminars, workshops, and tutorials at discounted rates.
  • Organize paper presentations, quizzes, competitions, and exhibitions.
  • Offer access to the CSI knowledge portal.
Functions
  • Motivate students to become CSI members.
  • Encourage participation in CSI webinars, conferences, and tutorials.
  • Organize events in association with CSI.
  • Provide resource persons for academic activities.
  • Publish best student papers in CSI journals.
Reports
Publications

Achievements

Our department is committed to cutting-edge research in diverse areas of computer science, fostering innovation, and collaborating with industry and academic partners to solve real-world challenges.

Research Achievements
  • 150+ research papers published in reputed journals
  • Funded projects from DST, AICTE, and industry partners
  • Multiple patents filed in AI and cybersecurity domains
  • Faculty serving as reviewers and editorial members of leading journals

Placement Statistics

Our students are placed in top companies across various sectors, with competitive packages and global opportunities.

2024 Placement Overview
  • Highest Package: ₹32 LPA
  • Average Package: ₹8.5 LPA
  • Placement Percentage: 95%
  • No. of Companies Visited: 120+
  • International Offers: 10+
  • Total Students Placed: 450+
  • Core Sector Placements: 60%
  • IT Sector Placements: 40%
Top Recruiting Companies
  • Google
  • Microsoft
  • Amazon
  • Infosys
  • TCS
  • Wipro
  • Accenture
  • IBM
Placement Preparation
  • Aptitude & Reasoning Classes
  • Mock Interviews
  • Resume Building Sessions
  • Group Discussions
  • Coding Challenges
  • Competitive Exam Training
  • Soft Skills Development
  • Career Counseling

Department Activities

Student Clubs and Societies
  • Programming Club – Regular coding competitions, hackathons, and programming workshops.
  • AI & ML Society – Workshops on AI trends, ML projects, and research presentations.
  • Cybersecurity Club – Ethical hacking workshops, CTF competitions, and awareness programs.
  • App Development Club – Mobile app dev workshops, UI/UX sessions, and competitions.
Technical Events
  • TECHFEST – Annual technical symposium with competitions and exhibitions
  • CodeWars – Inter-college programming competition
  • HackInnovate – 48-hour hackathon for innovative solutions
  • AI Summit – Conference on AI & ML
  • CyberShield – Cybersecurity awareness & hacking contest
Industry Interactions
  • Regular industry expert guest lectures
  • Industrial visits to IT companies and research centers
  • Internship opportunities in leading tech companies
  • Industry-sponsored projects and collaborations
  • Alumni mentorship programs
Workshops and Training
  • Full-stack web development bootcamps
  • Cloud computing certification programs
  • Data science and analytics workshops
  • Mobile app development training
  • Cybersecurity certification courses
  • Soft skills and personality development sessions

Ready to Join Computer Science and Engineering?

Take the first step towards an exciting career in technology. Contact our department for more information about the program and admission process.