Bapuji Educational Association (Regd.)

Bapuji Institute of Engineering and Technology

Post Box No. :325, Davanagere -577 004, Kamataka, India.
An Autonomous Institute Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka.

Approved by AlCTE, New Delhi | Accredited by NAAC with 'A' grade and NBA (UG Programmes)
Recognized by UGC,New Delhi under 2(F) and 12(B)

ಬಾಪೂಜಿ ಇಂಜಿನಿಯರಿಂಗ್ ಮತ್ತು ತಾಂತ್ರಿಕ ಮಹಾವಿದ್ಯಾಲಯ, ದಾವಣಗೆರೆ-577004

Department of Data Science

Upcoming Events

Jun 04

Khelutsav

04:00PM 06:00PM

BIET, Shuttle court


Feb 28

Technical Talk

02:00PM 04:00PM

Mechanical Seminar Hall


Dec 20

Forum Inauguaration

10:00AM 05:00PM

Data Science Department


Nov 23

Department Forum Logo Competition

10:00AM 05:00PM

Data Science Department


All events

Department of data science vision

Vision

To provide a quality and holistic education in data science, data analytics, data visualization, industry collaborations and research for empowering individuals to derive knowledge, thereby transform the potentials in data for the betterment of society.

Mission

  1. Educate and prepare students with a strong foundation in data science, equipping them with the skills, knowledge, and ethical principles needed to excel in data-driven fields.

  2. Foster collaborations with industries to adopt modern data science and visualization tools which solves the real-world problems that have societal benefits.

  3. Cultivate a culture of life-long learning with intellectual curiosity in data science and nurturing individuals who are passionate about data-driven decision-making

Program Educational Objectives (PEOs)

  1. Graduates will work in the area of applications of software development, Artificial Intelligence, Machine Learning, Data Analytics and Data Visualization.

  2. Graduate will exhibit professional ethics and moral value with capabilities of working as an individual and as a team member in the corporate world to contribute toward the need of the dynamic requirements of industry and society.

  3. Graduates will become responsible successful software professionals with leadership and managerial quality in the modern software industries based on their strong skills on theoretical and practical foundation.

Program Specific Outcomes (PSOs)

  1. Students will be able to develop sustainable and efficient algorithm solutions for the real time problems by applying their problems solving skills.

  2. Students will be able to develop a solution for the given problem in the area of Artificial Intelligence, Data Analytics and any other societal problems through conducive environment and infrastructure.

Dr. Pradeep N

Professor and Head

Faculty Members

Vinay M T

Assistant Professor

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Mrs. Gowramma B H

Assistant Professor

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Mrs. RANJANA B JADEKAR

Assistant Professor

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Bharath H C

Assistant Professor

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Usha C

Assistant Professor

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Technical Staff

Pramod H

Instructor

Supporting Staff

Faculty Research details

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Ph.D. Guiding & Guided details

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Grants

Patents

Laboratory Facilities

S.No. Name of Lab Qty Configuration/Specification Software
1. Data Structures and Algorithms 30 Dell Desktop Intel core i7 processor, 16 GB DDR4-2933 SDRAM 1TB HDD Windows 10, Python, Ubuntu, Java, Dev C, NetBeans and Turbo C++.
2. Data Analytics Lab 30 HP Desktop Intel core i7 processor @2700, 16 GB DDR4-2933 SDRAM 1TB HDD. Windows 10, Python, Ubuntu, Java, Dev C++ and Turbo C++.

Major Equipments

Department Advisory Board (DAB) Members

S.No. Member Designation

Program Assessment Committee (PAC) Members

S.No. Member Designation

SAR Report

Students placed in various IT Companies

Sl.No. Company

Staff Achievements

  • Dr. Pradeep N, Prof. Gowramma and Prof. Bharath H C have completed the course "Applied Generative AI" and got Certification in Infosys Springboard

  • Dr. Pradeep N, Prof. Gowramma B H and Prof. Bharath H C have completed the course "Principles of Generative AI" and got Certification in Infosys Springboard

  • Dr. Pradeep N have completed "Patent Drafting for Beginners" NPTEL course and got certification by passing NPTEL online exam

  • Dr. Pradeep N, Prof. Gowramma and Prof. Bharath H C have completed the course "Citizen Data Science using Python" and got Certification in Infosys Springboard

  • Dr. Pradeep N have completed "Outcome Based Pedagogic Principles For Effective Teaching" NPTEL course and got certification by passing NPTEL online exam

  • Prof. Usha C have completed "Computer Networks and Internet Protocol " NPTEL course and got certification by passing NPTEL online exam

  • Dr. Pradeep N and Prof. Bharath H C have got copyright granted for "Illuminating Alzheimer's Level: Advancing Diagnosis through Explainable AI and Deep Learning Classification"

  • Prof. Bharath H C has invited as Resource Person for 3 days workshop on “Data Analysis and Visualization Using Pandas" at STJIT, Ranebennur

Student Achievements

  • Shradha G V, Manu K C, Sara Aiman, Sahana B M have completed "Python for Data Science " NPTEL course and got certification by passing NPTEL online exam

  • Kruthik A had been selected to Thal Sainik Camp from NCC at Bagalkot

  • Pavithra B has completed the Online Course on “Front End Development”- in GreatLearning

  • Tejashree H Patil has completed the Course on “Introduction to Data Analysis using Microsoft Excel”- in Coursera

  • Shradha G Vernekar has completed the Course on “Python and Artificial Intelligence”-in devTown

  • Shradha G V and Naresh Patel have completed "Database Management System " NPTEL course and got certification by passing NPTEL online exam

  • Tasmine H N have completed "Programming in JAVA" NPTEL course and got certification by passing NPTEL online exam

Forum Activities

DATA SCIENCE FORUM

Datin, the Data Science department forum of our engineering college, is a dynamic platform designed to cultivate collaboration and innovation among students, faculty, and professionals passionate about data science. With a mission to facilitate knowledge exchange, Datin provides a space for sharing research findings, participating in guest lectures, and engaging in hands-on workshops led by industry experts. The forum encourages members to showcase their data science projects, fostering a culture of creativity and practical application of skills. Networking opportunities, hackathons, and competitions further enhance the educational experience, while a comprehensive resource repository ensures easy access to valuable materials for learning and research. Open to all with an interest in data science, Datin serves as a vibrant community within our college, promoting growth and development in this dynamic field.

The following events are conducted regularly by UniCS:

Sl.No. Event Event Descrption
1. Khelutsav Khelutsav 2024, held from June 4th to June 9th, was an exciting and vibrant event focused on badminton and carrom, bringing together participants from all departments for a week of spirited competition and camaraderie. The badminton and carrom tournaments provided a platform for athletes and enthusiasts to showcase their skills and sportsmanship. Participants competed fiercely in both singles and doubles categories, with matches marked by enthusiasm and high energy. The culmination of Khelutsav saw the winners and runners-up being awarded prizes, celebrating their dedication and excellence. This event not only fostered a sense of unity and teamwork but also highlighted the importance of sports in building a holistic and vibrant community.
2. Technical Talk on " Navigating the Frontier: Latest Trends and Technologies in Data Science and AI" by Kiran Gururaj, Executive Director, Kigyan Group It is an insightful technical talk aimed at professionals, researchers, and enthusiasts eager to stay at the forefront of this dynamic field. The session explores cutting-edge advancements in machine learning, including state-of-the-art algorithms and deep learning models like transformers and neural networks. It also delves into the latest trends in big data processing frameworks, data storage, and retrieval techniques, highlighting innovative applications and real-world implementations. Attendees will gain a comprehensive understanding of the current landscape and future directions of data science and AI, equipping them with the knowledge to leverage these technologies effectively in their work.
3. Technical Talk on “Data Science: Impact on Administration, Decision Maker, Academician and Research Scholar” by Dr. Hareesha K S, Director, International Centre for Applied Sciences, MIT Campus, MAHE The presentation will commence by providing a comprehensive overview of Data Science, highlighting its fundamental principles, methodologies, and applications. We will delve into real-world examples showcasing how Data Science has revolutionized industries by leveraging insights from large and complex datasets.For administrators, the talk will focus on how Data Science facilitates informed decision-making, resource optimization, and strategic planning. The discussion will shed light on the role of data-driven strategies in enhancing organizational efficiency and achieving long-term goals.
4. Technical Talk on “Data Science: Scope, Demand and Career Opportunities” by Ram Mohan, Principal Data Scientist, Automation Anywhere. The presentation will commence with an overview of the expansive scope of Data Science, encompassing its fundamental principles, methodologies, and diverse applications across various domains. Participants will gain insights into the interdisciplinary nature of Data Science and its ability to extract meaningful insights from vast and complex datasets. The discussion will then pivot to the soaring demand for skilled Data Science professionals in the current job market. Attendees will be presented with compelling statistics and case studies, illustrating how businesses and organizations are increasingly relying on data-driven decision-making, thereby creating a substantial demand for proficient Data Scientists
5. Forum Logo Design Competition Department forum logo, Name and Tagline competition was conducted on 29th November for Data Science students and among all the designs submitted by groups, one is selected as best and awarded for that group.

Department Activities

The following department activities were conducted:

B.E. Time Table

Semester: 4 Section: A

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Semester: 3 Section: A

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4th Semester Result Analysis

Click the link below to download the Result Analysis

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