Head of Department
Dr. Vidya A
Dr. Vidya A has 25+ years of teaching and 10 years of research experience. She received her Ph.D. in Computer Science and Engineering from JNTUH, M.E. in CSE from UVCE, Bangalore University, and B.E. in CSE from Bangalore University. She has published numerous research papers in peer-reviewed International Journals and Conferences, and received the Best Paper Presentation Award. Her name is listed in Marquis Who's Who in Science and Engineering (2011).
She is a Fellow of the Institution of Engineers (FIE), and a Life Member of ISTE, IAENG, and CSI. Her research interests span Data Mining, Bioinformatics, Pattern Recognition, IoT, and Image Processing.
Department Profile & Good Practices
Academic foundations, VTU affiliation, and mentoring mechanisms
Brief Profile of the Department
The Department of Computer Science and Engineering was established in the year 1997, since the inception of the institute. The department offers B.E. in Computer Science and Engineering, M.Sc Engineering by Research, and Ph.D. programs in various specializations of Computer Science and Engineering with a total intake of 180 students.
The department has state-of-the-art laboratories and well-qualified faculty members. The program is designed to provide students a solid foundation of core computer science, with electives offered in key emerging areas. The curriculum complies with Visvesvaraya Technological University (VTU), Belagavi.
Graduates from the department are working in reputed multinational organizations across the globe. The department features a VTU-recognized Research Centre where students are encouraged to pursue interdisciplinary research in Computer Vision, Data Mining, Networking, and High-Performance Computing.
Department Good Practices (14 Key Pillars)
- Mentoring system for academic, career, and personal guidance.
- Keeping parents informed about their wards' regularity/irregularity.
- Preparing students with right soft skills, building confidence to face interviews and competitive exams.
- iTacs Department Association promoting co-curricular and extracurricular activities, group collaboration, and leadership.
- Arranging seminars and workshops on innovative technologies to create awareness on recent happenings in the IT industry.
- Regularly arranging industrial visits and promoting student internships.
- Encouraging students to take up MOOCs and NPTEL certifications to imbibe continuous learning.
- Extensive use of ICT tools in teaching, learning, and assessment.
- Arranging regular Parent-Teachers Meetings (PTM).
- 360-degree feedback system to assess teaching quality, facilities, and faculty performance.
- Dedicated Department Library facilities for student reference.
- Regularly organizing induction and orientation classes for incoming students.
- Conducting Bridge Courses and remedial classes for slow learners.
- Identification and reward recognition for students achieving top percentages in each subject.
Vision, Mission & Developmental Goals
Core institutional ethos, societal focus, and progressive milestones
Department Vision
"To provide a conducive learning environment for quality education and research in Computer Science Engineering and to prepare the students to face the global Techno-Socio-Economic needs of the society."
Department Mission
- Promote technical proficiency by adopting effective teaching and learning processes.
- Provide quality education to meet the needs of society.
- Provide a learning ambience to enhance innovation and team spirit.
- Provide an acquaintance with the latest tools and technology.
- Provide research-based projects/activities in evolving areas of computer science.
Short Term Goals
- Familiarize students with current AI and ML technological breakthroughs.
- Encourage active participation in national and international hackathons.
- Expand capabilities of VTU research center and computing laboratories.
- Conduct faculty development programs (FDP) regularly for skill upgradation.
- Provide online course materials for 24/7 student access.
Long Term Goals
- Transform the department into an interdisciplinary research hub collaborating across streams.
- Nurture student entrepreneurs and startup incubation.
- Expand cross-disciplinary faculty research in robotics and machine intelligence.
- Solidify Industry-Institute partnerships as technological solution providers.
Program Outcomes (POs), PEOs & PSOs
11 Program Outcomes, 5 PEOs, and 3 Program Specific Outcomes (PSOs) guiding student excellence
Program Outcomes (POs - 11 Outcomes)
Apply math, science, and engineering fundamentals to complex computer engineering problems.
Formulate and analyze complex engineering research and computational problems using first principles.
Design system components and processes while meeting public safety, societal, and environmental needs.
Use research-based knowledge and experiment design to analyze data and draw valid conclusions.
Select and apply appropriate modern IT tools, techniques, and resources to complex engineering activities.
Understand the broader societal, global, legal, and environmental impacts of engineering practices.
Apply professional ethics, responsibilities, and norm principles of engineering practice.
Function effectively as an individual or leader in diverse and multidisciplinary teams.
Communicate effectively on complex engineering activities through reports, documentation, and presentations.
Demonstrate knowledge of management and financial principles in projects and software delivery.
Recognize the need for and engage in continuous independent learning in the broadest context of technological change.
Program Educational Objectives (PEOs)
Demonstrate a solid foundation in computer science principles and practices to excel in technical careers or higher education.
Apply their skill and knowledge to address societal challenges adhering to ethical standards and professional integrity.
Exhibit creativity, teamwork, and leadership in diverse multidisciplinary environments, fostering innovation.
Adapt to advancements in tools and technologies, effectively integrating these to solve contemporary problems.
Engage in research-based activities focusing on emerging computing domains to create impactful solutions.
Program Specific Outcomes (PSOs)
Prepare students ready for industry usage by providing required training in cutting-edge technologies.
Ability to use core concepts of computing and optimization techniques to develop more efficient computing mechanisms.
Ability to inculcate professional, social, ethical, effective communication skills, and entrepreneurial practice for holistic growth.
Department Laboratory Facilities (15 Labs)
Specialized computing labs, licensed compilers, and VTU Recognized Research Centre
1. Analog & Digital Electronics Lab
Digital IC trainers, oscilloscopes, signal generators, logic analyzers, and breadboards for hardware circuitry.
2. Data Structures Lab
C/C++ environments for linked lists, binary trees, graph algorithms, stacks, and queue implementations.
3. Design & Analysis of Algorithms Lab
Dynamic programming, greedy algorithms, divide-and-conquer, and time complexity benchmarking.
4. IoT Skill Lab
Prototyping sensor nodes, ESP32, Arduino, Raspberry Pi, actuators, MQTT telemetry, and edge-computing smart IoT applications.
5. Database Applications Lab
Oracle, MySQL, and PostgreSQL server environments with SQL queries, normalization, and relational triggers.
6. System Software & OS Lab
Linux kernel compilation, process scheduling algorithms, Lex & Yacc compiler tools, and shell scripting.
7. Networks Lab
NS2/NS3 simulators, Wireshark packet analyzers, Cisco routing protocols, and socket programming.
8. Web-Programming Lab
HTML5, CSS3, JavaScript, React, Node.js, PHP, and responsive web application development stacks.
9. Machine Learning Lab
Python, Scikit-learn, PyTorch, TensorFlow, Jupyter notebook servers, and GPU-accelerated computing nodes.
10. Computer Graphics & Visualization Lab
OpenGL, graphics shaders, 2D/3D transformations, illumination models, and rendering pipelines.
11. Parallel Computing Lab
Multicore programming, OpenMP, MPI message passing, CUDA GPU computing, distributed clusters, and parallel matrix algorithms.
12. Project Management with Git
Git version control, GitHub workflows, branch strategies, pull requests, CI/CD automated test pipelines, and agile software tracking.
13. GenAI Lab
Large language models, prompt engineering, Hugging Face transformers, LangChain agent frameworks, and RAG semantic architectures.
14. Object Oriented Programming Lab
Core and advanced OOP paradigms in Java and C++, encapsulation, dynamic polymorphism, design patterns, and robust modular application architecture.
15. VTU Recognized Research Lab
Dedicated research cubicles with high-end workstations for Ph.D. scholars and faculty pursuing doctoral research in Computer Vision, Deep Learning, and Cloud IoT.
Teaching Faculty Directory (14 Members)
Dedicated professors, research scholars, and subject mentors
Technical & Support Staff (8 Members)
Dedicated programmers, system analysts, and lab instructors
Suresh K.
Manjunath B M
Puneeth D J
Lakshminarayana Gowda
Ravindra H C
Dhaneshwari
Shweta M. Naik
