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enquiry@svcengg.edu.in

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Welcome to the Department of Information Science and Engineering

Course Details

  • Course Duration : 4 Years
  • Intake : 60
  • No. of Faculty : 10
  • Doctorates : 03
  • Ph.D Pursuing : 03
  • Technical Staff : 03
  • Non Technical Staff: 04

Undergraduate Program

Information Science and Engineering

With state-of-the-art infrastructure combined with highly-skilled faculty members experts in areas of Machine Learning, Computer Intelligence, and Data Science, the Department of Information Science and Engineering at SVCE has a proven track record of excellence in academics and has enabled many aspirants to write their success stories. With an industry-vetted curriculum covering the major and upcoming trends of the domain, the Department is a favored destination for top-notch global companies to hire the right talent for various emerging roles.

Excellence in Information Science and Engineering Education, Research and Development

  • Mission 1

Accomplish academic achievement in Information Science and Engineering through student-centered creative teaching learning, qualified faculty and staff members, assessment and effective ICT.

  • Mission 2

Establish a Center of Excellence in a various verticals of Information Science and Engineering to encourage collaborative research and Industry-institute collaboration.

  • Mission 3

Transform the engineering students to socially responsible, ethical, technically competent and Value added professional or entrepreneur through holistic education.

Department Activities
Extra Curriculum Activities

Knowledge

  • Information Science and Engineering Graduates will have professional & technical career in inter disciplinary domains providing innovative and sustainable solutions using modern tools.

Skills

  • Information Science and Engineering  Graduates will have effective communication, leadership, team building, problem solving, decision making and creative skills.

Attitude

  • Information Science and Engineering Graduates will practice ethical responsibilities towards their peers, employers and society.

Program Specific Outcomes​

Quick Learner

Quick Learner

Ability to learn and effectively implement the Information Science and Engineering notions in less span of time using modern tools.

Envision
Ability to Understand the operations of existing and future applications

1. Engineering Knowledge: Apply the 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 analyze 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 system components or processes that meet t h e specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

4. 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.

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 the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

 

7. 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.

 

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

 

9. Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary 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 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.

 

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.

Laboratory

DBMS/ST Lab
Enables students to design & implement linear & non-linear data structure like stack, queue, list, trees, graph etc.
EC/MC Lab
Enables students to design & implement combinatorial, sequential circuits, microprocessor, microcontroller based applications.
FS/DS/CN Lab
Enables students to design and implement primitive file operations, database applications & software engineering processes.
ML/MAD/DAA Lab
Enables students to design & implement basic LAN, simulate network protocols using programming languauges & simulators.
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Newsletter

Department Gallery

OUR TEACHING CREW

Dr. Lognathan R

Professor & HOD

Dr. Shalini V

Associate Professor

Mr Satyanarayana MS

Assistant Professor

Mr. Maria Navin J R

Assistant Professor

Mr. Guruprasad Y K

Assistant Professor

Mr. Chethan C

Assistant Professor

Ms. Amrutha C

Assistant Professor

Mrs. Santhiya R

Assistant Professor

Mr. Aditya K

Assistant Professor

OUR NON-TEACHING CREW

Ms.Harsha S

Technical Superviser

Mr Srikanth S

Assistant Instructor

Mr Kumar PN

Assistant Instructor

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