Bapuji Educational Association (Regd.)

Bapuji Institute of Engineering and Technology

Post Box No. :325, Davanagere -577 004, Karnataka, 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 Computer Science and Engineering (Data Science)

Upcoming Events

Nov 28

Peer-to-Peer Hands-on Workshop on Git and Github

02:05PM 06:00PM

ICT Classroom


Nov 27

PTM - 2024

02:00PM 06:00PM

Basaveshwara Seminar hall


Nov 15

Peer-to-Peer Student Program on Data Visualization with Tabl

10:00AM 05:00PM

Data Science Labs


Nov 11

workshop on Machine Learning for Data Science

02:00PM 05:00PM

ICT Classroom


Oct 07

Forum Inaguaration and Freshers' Party

10:00AM 05:00PM

Lord Basaveshwara Seminar


Jul 26

Peer-to-Peer Hands-On Workshop on Django

02:00PM 06:00PM

ICT Classroom


Jul 20

Parents-Teacher Meeting

09:00AM 12:30PM

Lord Basaveshwara Hall


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 Computer Science and Engineering (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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Sony V Hovale

Assistant Professor

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Latha M

Assistant Professor

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Technical Staff

Pramod H

Instructor

Supporting Staff

Prakash M S

Attender

Thimeshi

Attender

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

  • Dr. Pradeep N sessioned a National Conference chair on Emerging Trends in Technology and Computer Applications-"NCETTCA-24" AVISHKAR 1.0 on 3rd July 2024 organised by MCA Department, BIET

  • Dr Pradeep N and Prof. Bharath H C has Invited as Resource Person for Technical Talk on Cyber Security, in which Dr Pradeep N has delivered session on Understanding Core knowledge of Cyber Security and Prof. Bharath H C has delivered session on Ethical Hacking and Careers on 4th July 2024 which was organised by Department of Commerce at Bapuji Institute of Hi-Tech Education, Davangere

  • Prof. Bharath H C has Invited as Resource Person for online Technical Talk on "Your startup Success: Legal and Ethical Planning Essentials" on 6th July 2024 at Srinivas Institute of Technology, Mangalore.

  • Prof. Gowramma and Prof. Bharath H C have completed the course " Artificial Intelligence Foundation Computer Vision 101" and got Certification in Infosys Springboard

  • Dr. Pradeep N sessioned a National IEEE Conference chair for "ICICEC - 2024 on 24th October organised by IS & E Department, BIET

  • Prof. Bharath H C has invited as Resource Person for Technical Talk on "Artificial Intelligence & Machine Learning" on 6th November 2024 at Don Bosco Degree College-Chitradurga, Chitradurga.

  • Prof. Vinay M T have completed the course "Demystifying Generative AI for Leaders from Infosys SpringBoard" and got Certification in Infosys Springboard

  • Prof. Vinay M T invited to Smart City, Davangere to deliver talk on “AI for Law Enforcement”

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. Peer-to-Peer Hands-on Workshop on Git and Github The Hands-On Workshop on Git and GitHub is a practical, one-day session designed to introduce students to the fundamentals of version control and collaboration in software development. Participants will learn how to: Set up and use Git for tracking changes in code. Work with GitHub to collaborate on projects, manage repositories, and contribute to open-source development. Perform essential tasks like branching, merging, resolving conflicts, and using pull requests. By the end of the workshop, students will have the skills to effectively manage projects, collaborate with peers, and contribute to team-based development workflows confidently.
2. Peer-to-Peer Student Program on Data Visualization with Tableau This program is designed to help third-semester students gain practical experience in data visualization using the Tableau tool, led by experienced fifth-semester students. In regard with this, all the 3rd semester students should attend the sessions without fail and attendance is taken compulsory. Details of the Program: Topic: Data Visualization with Tableau Target Audience: 3rd Semester Students Conducted By: 5th Semester Students Date: 15/11/2024 Time: 10:00 AM - 5:00 PM Venue: Data Science Department Labs Key Highlights: Introduction to Tableau Interface and Tools Data Importing, Cleaning, and Preparation Building Interactive Dashboards and Reports Practical Exercises on Data Visualization Techniques Q&A and Problem-Solving Session
3. Peer-to-Peer Hands-On Workshop on Django The Peer-to-Peer Hands-On Workshop on Django is a one-day event designed to equip students with practical knowledge of web development using the Django framework. This interactive session, conducted by students for students, focuses on building dynamic, database-driven web applications. Participants will engage in hands-on exercises, including setting up Django, creating models, views, and templates, and deploying a basic web application. The workshop aims to foster collaborative learning, strengthen technical skills, and inspire students to explore web development projects independently.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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

Department Activities

The following department activities were conducted:

  • The Data Science Department successfully organized a Parent-Teacher Meeting (PTM) on 27th November in the department’s seminar hall. The event served as a vital platform for fostering meaningful communication between faculty and parents, ensuring a collaborative effort in shaping students’ academic and professional growth. The meeting commenced with a warm welcome address by the Head of the Department, who highlighted the significance of parental involvement in the holistic development of students. Faculty members presented a comprehensive overview of the academic performance of students, detailing their progress in assignments, projects, and examinations. Special emphasis was placed on the department’s initiatives to enhance learning outcomes and skill development. The event also showcased the recent achievements of the Data Science Department, including faculty publications, student projects, and participation in national-level hackathons. Faculty members briefed parents about upcoming plans, such as industry collaborations, specialized workshops, and training programs aimed at bridging the gap between academics and industry expectations. An interactive session provided parents an opportunity to engage directly with faculty members to discuss their wards’ performance and address any specific concerns. This session proved to be highly productive, allowing the faculty to gather valuable feedback for refining teaching methodologies and student support systems. The PTM also celebrated student achievements in both academic and extracurricular domains. Highlights included updates on internship opportunities and placement records, reflecting the department’s commitment to ensuring students' career success. The meeting concluded with a heartfelt vote of thanks, expressing gratitude to parents for their active participation and unwavering support. The event was a testament to the department’s dedication to creating a transparent, collaborative, and supportive environment for student success.

  • As part of the Student-Centric Research (SCR) initiative and activities under AICTE, a visit to the historic Aneconda Vishwanatha Temple was organized. The temple, renowned for its architectural splendor and cultural significance, provided students with a unique opportunity to explore heritage preservation through modern technological lenses such as AI and data analysis. The visit aimed to encourage interdisciplinary learning by integrating technology with history, fostering creativity, and enhancing awareness about India's rich heritage. Students engaged in documenting temple architecture, discussing preservation techniques, and brainstorming innovative tech-driven approaches for promoting such heritage sites.

  • The 3-Day Workshop on Machine Learning for Data Science is designed for 5th-semester students to introduce key concepts and practical applications of machine learning. Conducted over three afternoons, the workshop will cover foundational ML techniques, tools, and hands-on exercises, enabling students to understand and apply ML algorithms to solve real-world problems in data science.

B.E. Time Table

Semester: 4 Section: A

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Semester: 3 Section: A

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Semester: 5 Section: A

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3rd Semester Result Analysis

Click the link below to download the Result Analysis

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