The Department of Information Science & Engineering established in the year 2007, offers a Bachelors Degree programme in Information Science & Engineering under the affiliation of Visvesvaraya Technological University, Belgaum. The department has grown steadily over the years with student intake of 60.The department of Information Science and Engineering is well equipped with highly qualified staff and centralized laboratories having the latest configurations and software tools. The department presents a unique opportunity to study the existing field with guidence of quality teachers.
Vision:To empower our students with the necessary domain knowledge and professional skills in Information Science and Engineering for a global career with employable individuals whose collective energy will be driving force for prosperity and quality to serve society.
Mission: Our mission is to provide quality technical education in the field of Information Science and Engineering and to prepare students for a global career in computing, strive for excellence in the education by developing and sharpening the intellectual and human potential for good industry and community.
Attendance Monitoring for every session. 100% Mentoring of students done regularly and parents are informed regarding their Marks and attendance.100% Monitoring the late comers for the class and necessary action taken. Identifying weak students and helping them to secure pass percentage. Making students to solve previous year question papers. Additional classes and Test for under performers .
|1||Dr. Nijaguna G S||Completed NPTEL course - Programming in Java||faculty|
|2||Reshma Kousar||7th Rank in VTU||student|
|3||Dr.Nijaguna GS||Attended National Conference : on Imperative Ideas in Engineering and Science for Paradigm Shift at Gopalan College of Engineering.||faculty|
|4||Dr.Nijaguna GS||Attended VTU TEQIP1.3 sponsored 5 day workshop on OBE & NBA Accreditation at CMRIT-Bangalore.||faculty|
|5||Dr.Nijaguna GS||PhD Awarded by VTU in the year 2020 on thesis title : Implementation of Unstructured Data Classification using Uncertain Nearest Neighbor Decision rule.||faculty|
|6||Dr.Nijaguna GS||Patent filed : System for imbalance data classification and a method thereof.||faculty|
|7||Dr.Nijaguna GS||Patent filed and Granted : IUML- Stock Prices Predictor : Intelligent Stock Prices Predictor using Machine Learning||faculty|
|8||Dr.Nijaguna GS||International Conference on Adaptive Computational Intelligence : Imbalance Data Classification Using Local Mahalanobis Distance Learning Based on Nearest Neighbor||faculty|
|9||Dr.Nijaguna GS||Book Published : Unstructured data Classifications UNN Decision Rule / Eliva Press||faculty|
|Sr No||Activity Year||Activity Name||Activity Type|
|3||2018||IOT AND ITS APPLICATIONS||FDP|
|4||2018||Data Science & Network Security||Workshop|
|5||2017||Emerging Trends & Technology in IT||Workshop|
|6||2016||Mobile Application Development||Workshop|
|1||Dr. Nijaguna G S||"Implementation of A Cross Platform Configuration Manager for Automating Various Tasks Involved in Wild fly Server"||Published||International Journal of Emerging Trends in Science and Technology|
|2||Dr. Nijaguna G S||"A new Approached Data in Uncertain Classification Using Support Vector Machine Algorithm"||Published||International Journal of Research and Analytical Reviews|
|3||Dr. Nijaguna G S||"A Survey on Unstructured Data Classification using Uncertain Nearest Neighbor Decision Rule "||Published||International Journal of Scientific & Engineering Research|
|4||Dr. Nijaguna G S||Multiple Kernel Fuzzy Clustering for Uncertain Data Classification||Published||International Journal of Computer Engineering & Technology|
|5||Dr. Nijaguna G S||Adaptive Condensed Nearest Neighbor for Imbalance Data Classification||Published||International Journal of Intelligent Engineering and Systems|
|6||Dr. Nijaguna G S||Imbalance Data Classification Using Local Mahalanobis Distance Learning Based on Nearest Neighbor||Published||Springer Nature Computer Science|
|7||Dr. Nijaguna G S||An Approach on Cyber Protection Changes by way of a cohesive Red and Blue Working Committee||Published||"International Journal of Advanced Trends in Computer Science and Engineering "|
|8||Dr. Nijaguna G S||Book: UNN Decision Rule||Published||Eliva Press|
|9||Dr. Nijaguna G S||Imbalance Data Classification Using Local Mahalanobis Distance Learning Based on Nearest Neighbor||Presented||International Conference on Adaptive Computational Intelligence|