Department of Information Science and Engineering

The Department of Information Science and Engineering was established in the year 2001 with an intake of 60 for UG program. Since then, the department has evolved over the years to portray its excellent academic performance. The intake was enhanced to 120 in the year 2018 and then to 180 in the year 2020.

The essential strength of the department is its faculty members. The department has 23 experienced faculty members, out of which 4 are PhD holders and 7 are pursuing PhD. All the faculty members are committedly guiding the students all the way through and make them adequately competent in order to match global standards. With student centric innovative practices and latest pedagogical concepts and training, the department transforms students into competent professionals with domain knowledge and skills to meet the challenges.

The research activities were promoted in the department with the launch of Research Centre under VTU, Belagavi, in the year 2021. Currently one supervisor is guiding 4 research scholars in various research areas like Data Mining, Big Data Analytics and Image Processing.

The department has been accredited by NBA, NAAC and Permanently Affiliated to VTU, Belagavi. The department has very good computing facility with updated software and hardware to aid innovative teaching-learning methods and the research needs with campus wide WiFi connectivity.

The department has an outstanding placement record with an average placement percentage of 92% over last 3 years. UG students are offered with Internship and projects from various Industries during their final and pre-final years.

The department has got MoUs with leading industries and conducted some events under that banner. It is also associated with professional bodies like ISTE and CSI.

Empower the students to thrive for excellence in the area of Information Science and Engineering to use technology for sustainable development for social needs.

  • M1: To provide theoretical and practical knowledge of Information Science and Engineering.

  • M2: To provide inter disciplinary knowledge to be the leaders with social responsibility.

  • M3: To collaborate with industry to facilitate content beyond syllabus.

  • M4: To promote team work through projects, co-curricular and social activities.

  • PEO1: Graduates will contribute in development of software applications keeping abreast of the development.

  • PEO2: Exhibit competence as an individual, in teams with leadership and managerial skills.

  • PEO3: By optimizing the technology, the graduates will be able to adopt lifelong learning.

    • PO1: Engineering knowledge: Apply the knowledge of mathematics, science and core of Information Science to learn software engineering and programming fundamentals.

    • PO2: Problem analysis: Identify, formulate, research literature, and analyze software engineering problems and finding conclusions using software engineering methodology.

    • PO3: Design/development of solutions: Design solutions for complex Information Science engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the multidisciplinary teams.

    • 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: Apply appropriate techniques, resources, and modern IT tools including prediction and modeling to complex Information Science engineering activities.

    • PO6: The engineer and society: Apply contextual knowledge to assess societal, health, safety, legal and cultural issues relevant to the professional engineering practice.

    • PO7: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary areas.

    • PO8: Ethics: Apply ethical principles and commit to professional ethics, responsibilities and norms of the engineering practice.

    • PO9: Communication: Communicate effectively on complex Information Science engineering activities with the engineering community and able to comprehend and write effective reports and design documentation.

    • PO10: Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts. Demonstrate the knowledge and need for sustainable development.

    • PO11: Project management and finance: Apply the principles of project management to identify solutions to Information technology challenges.

    • PO12: Life-long learning: Acquire an ability to learn cutting edge technology in Information science engineering to address the real world problems.

  • PSO1: Apply the Mathematical tools, Electronics & Embedded Systems Knowledge, and Programming Knowhow to develop softwares.

  • PSO2: Use of Artificial Intelligence and Machine Learning, High-Performance Computing, Cloud Computing, Network Security technologies and Software Engineering for providing solutions to the technological and social needs.

  • PSO3:Work individually and in teams, ethically exhibiting the managerial and leadership skills with sustainable Environment.

  • To obtain consistent results in academics

  • To enter into MOUs to facilitate training, internship, and placements

  • To establish a cell for providing consultancy services

  • To offer training programmes and continuing education programmes

  • To establish knowledge centres

  • To modernize the Laboratories with latest software and hardware

  • To promote Industry- Institute interaction

  • To have an all-doctorate team of faculty members

  • To publish technical papers in reputed Journals

  • To submit proposals for funded projects in R and D activities

  • To strive for acquiring Intellectual Property Rights

  • To enter into an understanding with globally renowned universities by involving students and faculty members in emerging technologies

  • Well-ventilated class and tutorial rooms equipped with multimedia projectors.

  • Laboratories with advanced equipment and sophisticated software.

  • Departmental library

  • Internet Facility

  • Innovative video lecture delivery facility

I Semester II Semester
Course Code Course Name Course Code Course Name
21MAT11 Calculus and Differential Equations 21MAT21 Advanced Calculus and Numerical Methods
21PHY12 Engineering Physics 21CHE22 Engineering Chemistry
21ELE13 Basic Electrical Engineering 21PSP23 Problem-Solving through Programming
21CIV14 Elements of Civil Engineering and Mechanics 21ELN24 Basic Electronics & Communication Engineering
21EVN15 Engineering Visualization 21EME25 Elements of Mechanical Engineering
21PHYL16 Engineering Physics Laboratory 21CHEL26 Engineering Chemistry Laboratory
21ELEL17 Basic Electrical Engineering Laboratory 21CPL27 Computer Programming Laboratory
18EGH18 Communicative English 21EGH28 Professional Writing Skills in English
21IDT19/29 Innovation and Design Thinking 21SFH19/29 Scientific Foundations of Health
Or Or Or Or
21SFH19/29 Scientific Foundations of Health 21IDT19/29 Innovation and Design Thinking
III Semester IV Semester
Course Code Course Name Course Code Course Name
18MAT31 Transform Calculus, Fourier Series And Numerical Techniques 18MAT41 Complex analysis, probability and statistical method
18CS32 Data Structures and Applications 18CS42 Design and Analysis of Algorithm
18CS33 Analog and Digital Electronics 18CS43 Operating System
18CS34 Computer Organization 18CS44 Microcontroller and Embedded Systems
18CS35 Software Engineering 18CS45 Object Oriented Concepts
18CS36 Discrete Mathematical Structures 18CS46 Data Communication
18CSL37 Analog and Digital Electronics Lab 18CSL47 Design and Analysis of Algorithm Lab
18CSL38 Data Structures Lab 18CSL48 Microcontroller and Embedded Systems Lab
18KVK39 Vyavaharika Kannada (Kannada for communication)/ 18CPC39 Constitution of India, Professional Ethics and Cyber Law
18KAK39 Aadalitha Kannada (Kannada for Administration)
V Semester VI Semester
Course Code Course Name Course Code Course Name
18CS51 Management, Entrepreneurship for IT Industry 18IS61 File Structures
18CS52 Computer Networks and Security 18IS62 Software Testing
18CS53 Database Management System 18IS63 Web Technology and its applications
18CS54 Automata theory and Computability 18CS641 Data Mining and Data Warehousing
18CS55 Application Development using Python 18EE653/18ME652 / 18CV655 / 18EC652 Renewable Energy Resources/World Class Manufacturing/ Intelligent Transport System/ Sensors and Signal Conditioning
18CS56 Unix Programming 18ISL66 Software Testing Laboratory
18CSL57 Computer Network Laboratory 18ISL67 File Structures Laboratory with mini project
18CSL58 DBMS Laboratory with mini project 18CSMP68 Mobile Application Development
VII Semester VIII Semester
Course Code Course Name Course Code Course Name
18CS71 Artificial Intelligence and Machine Learning 18CS81 Internet of things and applications
18CS72 Big Data Analytics 18CS822 Storage Area Networks
18CS734 User Interface Design 18CSP83 Project Work Phase II
18CS745 Robotic Process Automation Design & Development 18CSS84 Technical Seminar
18ME751 Energy and Environment 18CSI85 Internship
18CSL76 Artificial Intelligence and Machine Learning Laboratory
18CSP77 Project Work Phase – 1

Information Science Engineers have a wide range of job opportunities such as Software Engineer, IT Manager, Software Tester, Application Developer, Web Designer etc. After completion of graduation, one may pursue further studies like M.Tech, M.E. The department of ISE in association with the department of placement and training enables the placement process by moulding the students with good behaviour, right attitude and making them industry-ready. We provide pre-placement training such as technical, aptitude, reasoning, seminars, and technical talk which augment the student qualities such as soft, interpersonal, communication, and presentation skills.. Every year our students are getting placed in various companies like Tata Consultancy Services(TCS), Cognizant Technology Solutions (CTS), Wipro Technologies, Infosys private Ltd, Hashed In Technologies, Accenture, Adobe, NTT Data, Tech Mahindra, L&T InfoTech, Amazon, CGI, KPMG, Mind Tree, FSS, Zensar Technologies, Evolutionary System Management, Accords Software, and Indian Navy, etc...

  • Pass in PUC/10+2 Examination with Physics and Mathematics as compulsory subjects along with one of the chemistry/Computer science/ Electronics/Technical vocational subjects and obtained at least 45% marks (40% in case of candidate belonging to SC/ST category) in the above subjects taken together of any Board recognized by the respective State Governments / Union Territories or any other qualification recognized as equivalent there to. Once the CET / COMEDK exams (entrance exam) get over, aspiring students would be able to assess their performance and seat allotment possibilities to the college of their preference. There would be acceleration in the admission process under Management Quota after the exams. To be assured the seat under Management Quota, it is necessary to secure the seat early by complying with the terms and conditions.

Sl. No

Semester & Section

Class Teacher

Email id

Phone no

1 IV A Venkatesh M R 9535040411
2 IV B Akshatha B S 9483090059
3 IV C Chaitra G V 7795657679
4 VI A Yashashwini D K 9742791879
5 VI B Deepika A B 9902626449
6 VIII A Asha K H 9036640167
7 VIII B Shankara Gowda S R 9060401203