DAC: Departmental Advisory Committee

DQAC: Departmental Quality Assurance Committe

Departmental Budget/Purchase Committee

Departmental Project Assessment Committee (DPAC)

CSI: Computer Society of India

BITES: Board for IT Education Standards

NSS: National Service Scheme

"Greetings from the department of Computer Science and Design (CS&D)."

The Department Computer Science and Design (CSD) aims to produce adaptable software developers who are experienced with emerging media technologies and design approaches as well as knowledgeable in computing approaches, tools, and technologies. Students who complete this degree are well-prepared for a wide range of employment in fields like entertainment, the arts, games, digital analytics, mobile application development, web/product design, cyber security, multimedia, and other interactive industries all over the world. The department is committed to giving students a best education and a promising future, which is supported by its upper edge teaching staff, excellent facilities, and Training & Placement Cell. We strongly promote innovation in research, education, and service to the profession, the local community, and industry. As we take the department of Computer Science & Design to new heights, I cordially invite you to join us in our endeavours. A successful academic career is my final wish for all the students and faculty.

Bachelor of Engineering (BE) in Computer science & Design (CS&D) programme is affiliated to Visvesvaraya Technological University (VTU), Belgaum, Karnataka. This programme is offered with a blend of theory and practical courses. This course also offered with projects and internships. These offered courses help students to cope up with the recent advancements in the computer industry. The department conducts the following bridge courses for the BE students to make them industry ready and thereby improve placement opportunities.

• Advanced Java Programming (Laboratory)
• Python Programming (Laboratory)
• Soft skills Development Courses (I - VII Semesters)
• Technical Skill Development Courses (I – VII Semesters)
• Animation and Graphics
• Game Design

PROGRAMME EDUCATIONAL OBJECTIVES (PEO)

1. Graduates will apply knowledge and skills of computer science and business systems to address challenges in various aspects of technology, business and society by solving real time problems.
2. Graduates will engage in lifelong learning by adapting to evolving industrial and societal needs.
3. Graduates will work efficiently and effectively exhibiting entrepreneurial skills, team spirit, leadership and ethical qualities.

PROGRAMME OUTCOMES (PO)

Engineering graduates in Computer Science and Business System will be able to:

1. Engineering knowledge: Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems
2. Problem analysis: Identify, formulate, research literature and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences
3. Design/development of solutions:Design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental Considerations.
4. Conduct investigations of complex problems: Conduct investigations of complex problems using research-based knowledge and research methods including Design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
5. Modern tool usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities, with an understanding of the limitations.
6. The engineer and society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
7. Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings
10. 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.
11. Project management and finance: Demonstrate knowledge and understanding of 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.
12. 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 OUTCOMES (PSO)

1. PSO 1: To engage in entrepreneurial activities and provide solutions to problems of society via IT.
2. PSO 2: Apply concepts of business intelligence and data analytics to design and develop business processes and strategies.

NEWSLETTERS

LABORATORIES

1. Data Structures and Algorithms Laboratory (CSDL - 01) This lab is designed to help students understand and implement various experiments of data structures and algorithms. It provides an environment for students to practice coding, analyze the efficiency of different algorithms, and solve complex problems. The laboratory is equipped with 24 computer systems with the necessary software tools required for implementing and testing academic laboratory experiments. Academic Labs: Data Structures, DAA, DBMS, Python Programming

2. Object Oriented Design Pattern Laboratory (CSDL - 02) TThe Object Oriented Design Pattern Laboratory is equipped to provide students with practical experience in developing software by making use of Object Oriented Design Patterns. The lab is equipped with software tools for Development and Testing of software applications. It is also equipped for performing data analytics. Academic Labs: R-Programming, DBMS, Java

3. UI/UX Laboratory (CSDL - 03) The UI/UX Laboratory is equipped to provide students with practical experience in developing UI/UX Concepts. The lab is equipped with computing resources and software tools for tasks such as Full Stack Development, Data Analytics and Web Application Development. Academic Labs: R-Programming, DBMS, Java

CLASSROOMS

The Department is allotted with spacious and well ventilated classrooms which are equipped with projectors, boards and adequate seating.

DEPARTMENT LIBRARY

The department has a library well equipped with reference books and text books for the use of students and staff of the department.

EXAMINATION RESULTS

2021-2022 Batch:
1st Semester – 80.32%
2nd Semester – 86.89%
3rd Semester – 82.26%
4th Semester – 93.55%

ONLINE CERTIFICATIONS

AY 2022 – 23 :
Coursera: 119
NPTEL:2
Spoken Tutorial: 82

Research Areas

• Machine Learning
• Biomedical Signal Processing
• Data Science and Big Data Analytics

PUBLICATIONS IN INTERNATIONAL CONFERENCES

• A Study on the Application of One Dimension Convolutional Neural Network for Classification of Gestures from Surface Electromyography Data - P. Amin and A. M. Khan, "A Study on the Application of One Dimension Convolutional Neural Network for Classification of Gestures from Surface Electromyography Data," 2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), Nitte, India, 2021, pp. 7-11, doi: 10.1109/DISCOVER52564.2021.9663596.
• 2. Deep Learning Based Gesture Recognition System Using EMG Spectrogram Data - Amin, P., Khan, A.M. (2023). Deep Learning Based Gesture Recognition System Using EMG Spectrogram Data. In: Choudrie, J., Mahalle, P.N., Perumal, T., Joshi, A. (eds) ICT with Intelligent Applications. ICTIS 2023. Lecture Notes in Networks and Systems, vol 719. Springer, Singapore. https://doi.org/10.1007/978-981-99-3758-5_29

FACULTY PURSUING DOCTORAL STUDIES

GALLERY