About the programme
This programme is a four-year intensive degree that focuses on the fundamentals of computer programming and networking similar to Computer Science Engineering. During the course of the programme, students will get to learn extensively about computation, algorithms, programming languages, programme design, computer software, computer hardware, etc with more focus on data analytics. It enables our students to gain an in-depth insight into the field, as they learn to investigate, collect, categorize, store, and disseminate information.
- Semesters: 8
- Credits: 160
- Start date: 1 December, 2022
- Eligibility: PUC or an equivalent with a minimum 45% overall grade and 60% subject-wise grade in physics, chemistry, and mathematics.
Students with a diploma degree can enter III semester of the programme.
- Semesters: 6
- Duration: 3 Years
- Eligibility: Students must earn 120 credits to qualify for the degree
- Familiarise students with the latest developments in the IT sector
- Help students apply their theoretical knowledge to the real-world
- Encourage students to participate in international and national level events and community development activities
- Model students to be global citizens, while giving a local perspective of the discipline
- Provide access to industry links for internships and employment opportunities
- Encourage the spirit of entrepreneurship among students
- Develop state-of-the-art research facilities to promote innovation in the field
- Analog and Digital Electronics Lab
- Data Structures Lab
- Microcontroller and Embedded Systems Lab
- Design and Analysis of Algorithms Laboratory
- Computer Network Laboratory / 18CSL57
- DBMS Laboratory With Mini Project / 18CSL58
- Software Testing Laboratory / 18ISL66
- File Structures Laboratory With Mini Project / 18ISL67
- Mobile Application Development / 18CSL68
(PROMOTION / ELIGIBILITY TO HIGHER SEMESTERS / CLASSES)
There shall be no restriction for promotion from odd semester to the even semester, provided the student fulfills the attendance requirement.
A. Vertical progression in case of students admitted to the first year:
A student with CGPA ≥ 5.00 at the end of the first academic year and has no ‘F’ grade or has not more than four ‘F’ grades in the first two semesters of the programme shall be eligible to move to II year
- A student with CGPA ≥ 5.00 at the end of the second academic year and has no ‘F’ grade or has not more than four ‘F’ grades in four semesters ( I and II years) shall be eligible to move to III year
- A student with CGPA ≥ 5.00 at the end of the third academic year, and has earned all the prescribed credits of I year, and has no ‘F’ grade or has not more than four ‘F’ grades in the four semesters of II and III years shall be eligible to move to IV year
B. A student shall also be eligible for the first time, with a warning to move to higher odd semester, if he/she has failed to secure a minimum CGPA = 5.00 at the end of any academic year
C. For the award of degree, a CGPA ≥ 5.00 at the end of the programme shall be mandatory
Areas of Interest: Data Mining, Sentimental Analysis, Big Data, Cloud Computing, Web Mining
Experience: 30 years
Date of joining: 04-10-2021
Email ID: email@example.com
I am an Academician who has an excellent Administrator inside with exceptional People, Time, and Energy Management skills. This is proven in 8 Engineering colleges with maximum 3 programs, 990 students and 40 faculty for 6 years without a conflict.
Areas of expertise: Cloud Computing, Machine Learning, Medical Image Processing
Experience: 8 Years Research and 17 Years Teaching
Date of joining: 01/10/2021
Email ID: firstname.lastname@example.org
Dr. M.Vinoth Kumar, working as an Associate professor in the Department of Information Science and Engineering, RV Institute of Technology Bangalore, Karnataka, India. Published 40+ research papers in reputed national, International SCI/ Scopus/ WoS indexed journals and conferences. Filed 6 innovative patents and 1 patent is granted by Indian patent office. MoE – IIC Innovation Ambassador for Intellectual Property Rights (IPR). He is Senior member of IIEEE, Life member of Computer Society of India (CSI),
Areas of expertise: Computer Networks, Data Science, Machine Learning
Experience: 8 Years Research and 18 Years Teaching
Date of joining: 01/10/2021
Email ID: email@example.com
Dr. Niharika P. Kumar is currently an Associate Professor in the department of Information Science and Engineering, R V Institute of Technology and Management. She holds a B.Tech in Computer Science & Engineering from NIE, Mysuru (VTU University), M.Tech in Networking and Internet Engineering from SJCE, Mysuru (VTU University) and Ph.D. in Computer Science from Visvesvaraya Technological University, Belagavi.
Areas of expertise: Computer Networks, Artificial Intelligence, Machine Learning, Data Science, Wireless Sensor Networks and Network Security.
Experience: 18 Years Teaching
Date of joining: 01/09/2020
Email ID: firstname.lastname@example.org, email@example.com
Dr. A. Ajina joined the Information Science and Engineering Department of RV Institute of Technology and Management (RVITM) Bengaluru in 2020, where I am working as an Assistant Professor. I received my Ph.D. from Visvesvaraya Technological University, Belagavi, Karnataka, India in 2019, M.E in Computer Science and Engineering from Jayam college of Engineering Under Anna University in 2010 and B.E in Computer Science and Engineering from St. Xavier’s Catholic College of Engineering, Under Manonmaniam Sundaranar University in 2004.
I started my carrier in Bangalore college Engineering and worked as a Lecturer for 4 years. Later joined as Assistant Professor in Sir M Visvesvaraya Institute of Technology and served for 12 years. I have completed several online courses hosted by Coursera, NPTEL and MATLAB.I am the life member of MISTE and IAENG professional bodies. In my credit 25 publications in various scientific works in National / International Journal / conference and a book chapter. I have also organized several Conferences, Workshops, STTP, Technical Talks, seminar and webinar.
Areas of expertise: Data Mining, Sentimental Analysis, Big Data, Cloud Computing, Web Mining
Experience: 17 Years Teaching
Date of joining: 01-10-2021
Email ID: firstname.lastname@example.org
Dr. Nibedita Panigrahi joined the Information Science Engineering Department of RV Institute of Technology and Management (RVITM) Bengaluru in 2021, where I am working as an Assistant Professor. I received my Ph.D. from the Information Science Engineering Department, Visveswaraya Technological University Karnataka (VTU) Belagavi in 2022, , M.Tech in Computer Science and Engineering from BPUT Odisha in 2010 and B.E in Computer Engineering from BPUT Odisha in 2005.
Areas of expertise: Medical Image Processing, Machine Learning, Deep Learning, Data Science
Teaching experience: 10 Years Teaching , 1 Year Industry and 3 years Research
Date of joining: 1 July, 2019
Email ID: email@example.com
I am Deepak D. J, working as Assistant Professor in Department of Computer Science and Engineering, R V Institute of Technology and Management, Bengaluru, Karnataka. I have completed B.E. degree from Bapuji Institute of Engineering and Technology, Davangere and Master degree (M Tech) from National Institute of Technology Karnataka, Surathkal. I am currently pursuing Ph.D from Visvesvaraya Technological University, Belgaum. I have one year of Industry experience and ten years of teaching experience. My research interests are Machine Learning and Image processing. I am specifically interested in solving problems related to Medical Image Processing using Machine Learning techniques.
Areas of expertise: Instrumentation and Imaging
Experience: 7 Years
Date of joining: 11-07-2022
Email ID: firstname.lastname@example.org
I am currently working as an Assistant Professor for an undergraduate program in Information Science and Engineering with 7 years of experience.
The courses that I have taught include:
▪ Data Structures with C,
▪ OOP with C++,
▪ Computer organization,
▪ Operating systems,
▪ Advanced computer architecture,
▪ Computer networks,
▪ Design and analysis of algorithms Laboratory.
My research focus was to establish an automated platform for
sensing transcorneal oxygen dynamics non-invasively.
Areas of expertise: Cloud Computing, Software Engineering, Internet of Things, Machine Learning
Experience: 2 Years Industry Experience and 7.4 Years Teaching
Date of joining: 03/08/2022
Email ID: email@example.com
I Shruthi P, joined as Assistant Professor to the Department of Information Science and Engineering, R V Institute of Technology and Management in 2022, Bangalore has earned her B.E, M.Tech from VTU, Belgavi. She is currently pursuing PhD in cloud computing domain. She has two years of IT experience and seven years,4 months of teaching experience. She has worked for IT compaines such as LSI Pvt Ltd, CyberTech System Software Pvt Ltd as IT Analyst and Software Engineer. She has taught various subjects in her teaching carrier.
She has published papers in various reputed International Journals, International Conference, National Conference and Scopus index Journals.