Computer Science & Engineering

Computer Science & Engineering

Computer Science is just not about syntax & coding, it makes a difference in people’s life by developing applications.

The Department of Computer Science and Engineering at SISTec-GN offers an undergraduate B.E. programme of four years in Computer Science and Engineering.
The undergraduate course in the Department emphasis on basic and contemporary skills in programming, Software Engineering, Design and analysis of Algorithms, Operating Systems, Computer Graphics, Database management system and Networking Technologies. The Department provides exposure to new technologies & also the futuristic domain like Cloud computing, Network security & Mobile Communication Technology.
Department also focus on the state of the art projects to be developed by students. Also department provides various technical and soft skills sessions through workshops, Seminars, Paper presentations & Expert Lectures.
Department believes in providing regressive industrial and campus preparation training to the students for improving employability.

VISION OF THE DEPARTMENT

To be renowned for excellence in Computer Science & Engineering By providing a nurturing environment for producing competent engineers having ethical understanding with social and environmental concerns.

MISSION OF THE DEPARTMENT

To impart quality education, meeting the latest industry requirements, futuristic research & developments in Computer Science & Engineering.

PROGRAMME SPECIFIC OUTCOMES

1. Apply standard Software Engineering practices in real-time software project development.
2. Design and develop computer programs in the areas related to algorithms, networking, web design, cloud computing, IoT, AI, ML and data analytics of varying complexity.
3. Utilize engineering knowledge to resolve social issues and challenges by professional attitude, effective communication skills and team work.

PROGRAMME OUTCOMES

• PO1 - Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• PO2 - 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.
• PO3 - 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.
• PO4 - 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.
• PO5 - 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.
• PO6 - 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.
• PO7 - 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.
• PO8 - Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• PO9 - Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• PO10 - 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.
• PO11 - 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.
• PO12 - 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.

Laboratories

Computer Science & Engineering Department has 09 different computer labs. The laboratories are well equipped with all required Software and Hardware components and Networking Devices. The labs are mostly utilized for conducting lab sessions, Project Development, and conducting training sessions for students.

• DBMS Lab
• Computer Programming Lab
• Machine Learning & AI Lab
• Networking Lab
• Web Development Lab
• Software Engineering Lab
• Project Lab
• Linux Lab
• Mobile Application Development Lab
• Cloud Computing Lab
• Soft Computing Lab

Computer Science & Engineering Department has 09 different computer labs. The laboratories are well equipped with all required Software and Hardware components and Networking Devices. The labs are mostly utilized for conducting lab sessions, Project Development, and conducting training sessions for students.

Department of Computer Science & Engineering had started Student chapter of Computer Society of India in 15-09-2016.

• Quiz Competition
• Expert lecture on Social Media Security
• Debugging Contest
• Expert Lecture on Development in C & C++

Value-added courses imparting transferable and life skills offered to students

The world we live in today is driven by data. This data is collected through Internet of Things (IoT) devices and stored them into the database where data analysis is performed to take some decisions using Artificial Intelligence and Machine Learning. This makes Machine Learning, Artificial Intelligence (AI) and IoT most in-demand technologies with a high requirement for professionals in the industry with relevant skills, training and hands on experience.

The Machine Learning group is started in 2017 with the aim to train our students in more demanding technologies and make them placeable in MNCs with handsome package. In the fourth semester Python module is run for all students and at the end of fourth semester an entrance test is conducted in order to form this group.

STTPs/FDPs/Workshop

• Training on Accelerating AI at the edge with Intel Technologies(16 April 2021)
• Training on Hands-on Cyber Security (28 April 2021)
• STTP on “Block chain Technology & Its Application” sponsored by RGPV ,TEQIP III( 12-15 Sep. 2020)
• STTP on “Cyber Security & Ethical Hacking” sponsored by RGPV ,TEQIP III( 24-28 Aug 2020)
• Technical Talk on “Recent Trendz in Engineering” sponsored by RGPV ,TEQIP III( 24 Aug. – 1 Sep. 2020)
• STTP on “Deep Learning using Python ” Sponsored by RGPV, TEQIP-III (23-27 Aug 2019).
• STTP on “Internet of Things: A hands on Approach” Sponsored by RGPV, TEQIP-III (09-13 Jan 2019).
• STTP on basic concepts of Machine Learning and its Role in IoT Sponsored by RGPV, TEQIP-III (15-17 Sep 2018).
• FDP on “Machine Learning for Data Science & Analytics Using PYTHON” by RGPV TEQIP-II (09-13 Feb 2018).

Projects in the Department