SVCE Bengaluru
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    COMPUTER SCIENCE AND ENGINEERING

    Overview

    The Department of Computer Science and Engineering (CSE) at SVCE is dedicated to cultivating innovation, research, and technical excellence. It offers comprehensive undergraduate programs for enabling students to explore advanced areas of computing and develop solutions for real-world problems.




    Program Highlights




    Why Choose Us?



    Career Opportunities

    Graduates from the CSE department enjoy career paths across:



    To evolve as a Recognized department in computer science and engineering education, nurturing competent professionals, innovators, and researchers who contribute ethically to technological advancement and sustainable societal development.

    Mission 1
    To impart high-quality, outcome-based computer science and engineering education through innovative curricula, advanced laboratories, and learner-focused pedagogies that meet industry standards.

    Mission 2
    To promote cutting-edge research, interdisciplinary projects, and entrepreneurial initiatives that addresses real-world problems and contributes to technological growth and national development.

    Mission 3
    To establish strong partnerships with industry, research organizations, and international institutions to enhance experiential learning, professional competence and employability.

    Mission 4
    To inculcate ethical values, social responsibility, and environmental awareness in graduates, enabling them to design sustainable computing solutions for the betterment of society.

    Mission 5
    Nurture the essential skills of critical thinking, problem-solving, and continuous learning to equip graduates with the adaptability required to master emerging technologies and excel in the rapidly revolving landscape of information technology and digital transformation.

    Knowledge
    CSE Graduates will have professional technical career in inter disciplinary domains providing innovative and sustainable solutions using modern tools.

    Skills
    CSE Graduates will have effective communication, leadership, team building, problem solving, decision making and creative skills.

    Attitude
    CSE Graduates will practice ethical responsibilities towards their peers, employers and society.

    PSO 1
    Ability to adopt quickly for any domain, interact with diverse group of individuals and be an entrepreneur in a societal and global setting.

    PSO 2
    Ability to visualize the operations of existing and future software Applications.

    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 The World:
    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.

    Ethics:
    Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

    Individual and Collaborative 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 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.

    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.

    3rd SEMESTER
    Mathematics for Computer Science
    Digital Design & Computer Organization
    Operating Systems
    Data Structures and Application
    Data Structures Lab
    ESC / ETC / PLC Object Oriented Programming with Java
    Object Oriented Programming with C++
    Social Connect and Responsibility
    Ability / Skill Enhancement Course Data Analytics with Excel
    Data Visualization with Python
    Mandatory (Non-credit): National Service Scheme (NSS) / Physical Education (PE) / Yoga
    4th SEMESTER
    Analysis & Design of Algorithms
    Microcontrollers
    Database Management Systems
    Analysis & Design of Algorithms Lab
    Biology for Computer Engineers
    Universal Human Values Course
    ESC / ETC / PLC Discrete Mathematical Structures
    Graph Theory
    Ability / Skill Enhancement Course UI / UX
    Green IT and Sustainability
    Mandatory (Non-credit): NSS / Physical Education (PE) / Yoga
    5th SEMESTER
    Software Engineering & Project Management
    Computer Networks
    Theory of Computation
    Web Technology Lab
    Professional Elective Course Computer Graphics
    Artificial Intelligence
    Unix System Programming
    Distributed Systems
    Research Methodology and IPR
    Environmental Studies & E-waste Management
    Mandatory (Non-credit): NSS / PE / Yoga
    6th SEMESTER
    Cloud Computing (OpenStack / Google)
    Machine Learning
    Project Phase I
    Machine Learning Lab
    Professional Elective Course Blockchain Technology
    Computer Vision
    Major Project Phase-II
    Ability / Skill Enhancement Course Generative AI
    DevOps
    Open Elective Course Introduction to Artificial Intelligence
    Mobile Application Development
    Mandatory (Non-credit): NSS / PE / Yoga / Indian Knowledge System
    7th SEMESTER
    Internet of Things
    Parallel Computing
    Cryptography & Network Security
    Professional Elective Course Deep Learning
    Big Data Analytics
    Social Network Analysis
    Natural Language Processing
    Major Project Phase-II
    Open Elective Course Introduction to DBMS
    Software Engineering
    Introduction to Algorithms

    The CSE department collaborates with industry leaders and research organizations to offer projects in areas such as AI, robotics, cybersecurity, and cloud computing.

    We provide:

    • Skill labs for coding enhancement programs such as hackathons, debugging, and more.
    • Incubation centers for tech startups.
    • Research guidance aimed at SCI journal publication quality.

    Key Research Areas

    1. Programming and Software Development

    • Programming in C, C++, Java, Python
    • Agile and software lifecycle models
    • Web and mobile app development

    2. Computer Systems and Networks

    • Operating systems (Windows, Linux)
    • Embedded systems
    • Cybersecurity and networking protocols

    3. Data Science and Artificial Intelligence

    • Machine learning, deep learning
    • Big Data, Hadoop
    • Cloud architecture

    4. Theoretical Computer Science

    • Automata, computation theory
    • Cryptography
    • Database and information retrieval

    5. Emerging Technologies

    • IoT and smart devices
    • Blockchain and quantum computing
    • Human-computer interaction

    Our Impact

    Our department’s research outcomes are published in top-tier journals and presented globally. With cross-disciplinary and industry-aligned projects, we aim to solve real-world challenges through innovative computing solutions.

    Collaborate with Us

    We welcome collaborations with academic institutions, government bodies, and technology companies to co-develop solutions in next-gen computing.

  • Organized FDP on β€œTaking Research to the Next Level”
  • Organized Three Days Workshop on β€œIoT and Embedded System”.
  • Organized Three Days Workshop on β€œDemystifying IoT: A workshop on Basic Applications”.
  • Organized Seminar on β€œInnovation, Intellectual Property (IP) in Engineering”.
  • Organized Seminar on β€œSports Injuries and its Update”.
  • Organized Seminar on β€œCommon Emergencies and Basic Life Support”.

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    Faculty

    Dr. Manjunatha N K - HOD
    Dr. N R Mohan
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    Dr. Suma T - Associate Professor
    Dr. R. Gandhiraja - Associate Professor
    Dr. P Damodharan - Associate Professor
    Dr. Shaji D S - Associate Professor
    Dr. S. BAMA - Associate Professor
    Dr. C Manikandan - Associate Professor
    Mr. Suresh P - Assistant Professor
    Mrs. Archana M - Assistant Professor
    Mr. Lokesh M - Assistant Professor
    Mr. Abhilash D C - Assistant Professor
    Mrs. Sridevi N - Assistant Professor
    Mr. Srikanth S - Assistant Professor
    Mrs. Rakshitha K S - Assistant Professor
    Ms. Veda N - Assistant Professor
    Mrs. Alla Gowthami - Assistant Professor
    Ms. Shwetha M Angadi - Assistant Professor
    Ms. Chaitra K V - Assistant Professor
    Mrs. B. Padmavathy - Assistant Professor
    Mrs. Surekha K S - Assistant Professor
    Ms. Rashmi J - Assistant Professor
    Ms. Chaithra S - Assistant Professor
    Mrs. Ranjana Thakuria - Assistant Professor
    Mr. Murugan S - Assistant Professor
    Mr. Bharath M - Assistant Professor
    Mrs. Khudaija Nazhath M R - Assistant Professor
    Mr. Sathyaseelan K - Assistant Professor
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    Placement

    Student Image

    Placement Testimonals


    Equal Justice Works Fellow,
    Center for Disability & Elder Law

    Elisabeth Hieber has already made an impact in improving the lives of transgender, nonbinary, and gender non-conforming people.

    Elisabeth Hieber
    (LAW ’19)