Dr. Aradhana D

Prof. & HOD

Department of CSE - Data Science

Welcome students,

The Department of Computer Science and Engineering - Data Science (CSE-DS) offers a 4-year undergraduate program. It's considered one of the best branches in the field of technology under CSE. This program opens up a wide range of job opportunities in various fields. Data science is a top branch of computer science, and it's growing fast. It's one of the most popular career paths in the tech world right now.

About the Department

The Department of Computer Science and Engineering - Data Science was founded in the academic year 2021-22. Since then, it has flourished, boasting a team of highly qualified and dedicated faculty members. The department has evolved from its modest origins to become fully operational, with state-of-the-art laboratories and infrastructure in place. It encourages collaboration among faculty members, enabling them to stay updated with the latest advancements and refine their skills to meet the needs of industry and technology.

The students are encouraged:

• The department encourages students to engage in various activities such as seminars, technical fests, symposiums, and conferences organized by other engineering colleges.
• Additionally, Institution has established Memorandums of Understanding (MoUs) with reputable industries.
• Students are also motivated to enhance their communication and presentation skills, fostering confidence.
• Regular seminars and workshops are conducted in collaboration with industry partners, providing students with practical insights and enabling them to integrate emerging technologies into their areas of specialization.

Wishing you all the best

VISION AND MISSION OF THE DEPARTMENT

Vision:

To contribute AI experts for global industries and organizations, fostering innovation while upholding social responsibility and ethical practices.

Mission:

M1: To Empower students with innovative and cognitive skills to excel in the field of Data Science.

M2: To Provide exceptional infrastructure, facilities, and ambiance for the nurturing of young professional.

M3: To Cultivate knowledge through an industry-friendly environment, enabling excellence and research in a data-driven world.

PEOs:

1. Graduates will garner peer recognition, either individually or as part of a team, for their specialized knowledge and expertise in data analysis, statistical inference, data mining, and problem-solving within the global data analytics industry.
2. Graduates will demonstrate leadership qualities, capable of navigating diverse circumstances and environments, fostering multidisciplinary collaboration to address complex challenges effectively.
3. Graduates will exhibit a commitment to lifelong learning, embracing new skills and techniques to tackle emerging challenges posed by evolving technologies in the field of data science.

PROGRAMME OUTCOMES (PO’s):

Engineering Graduates will be able to:

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
4. 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.
5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

1. Launching Club Initiatives:

Initiate various club activities within the department to foster a sense of community and engagement among faculty and students.

2. NPTEL Swayam Course Requirement for Faculty:

Mandate that each faculty member completes a course in NPTEL Swayam to enhance their knowledge and skills in relevant areas.

3. Conducting SDP/FDP on Generative Al:

Organize Skill Development Programs (SDP) or Faculty Development Programs (FDP) focused on Generative Al to promote advanced learning within the department.

4. Encouraging Research Publication:

Inspire faculty members to contribute to the academic community by encouraging the publication of at least one research paper in recognized platforms such as Scopus or Web of Science.

5. Promoting Online Learning for Students:

Motivate students to enroll in additional online courses offered by Infosys Spring Board and NPTEL to complement their academic curriculum and enhance their skills.

Lab Photo:

BALLARI INSTITUTE OF TECHNOLOGY & MANAGEMENT, BALLARI

2nd Year (3 rd Sem.) Students List for the AY 2023-24 as on 19/10/2023
BRANCH: CSE - DS

Click To View : Modal Question Paper

Department of CSE- Data Science

DS Forum C.O.D.E- Clubs of Data Engineers

DS Forum Student Inauguration

The Department of CS- Data Science has organized "DS Forum Student Inauguration" on February  05^th at Lab1, 3rd Floor, Silver Jubilee, BITM, Ballari.

Miss. Niharika student of 3^rd Semester welcomed Director, Principal, Head of the Department, staff members and students. The event was inaugurated by Prof. Prithviraj Bhupal Director BITM Ballari and Head of the Department Dr. Aradhana D, DS Forum Staff Coordinator Mr. Manjunath Kammar, Dr. Jagadish R.M, Miss. Umadevi B E and Miss. Archana and students oordinators.

Director Prof. Prithviraj Bhupal sir addressed the gathering with a warm welcome and followed an overview of the Institute Vision, Mission and Department goals. He also briefed about the importance and opportunities of Data Science branch, trainings, placements records of the institute etc.

Head of the Department, Dr. Aradhana D. addressed the gathering with a warm welcome and appreciation of events conducted in the department, followed by an overview of the department the objectives and events planned for academic year 2024-25. She also briefed about the efforts taken by the department for the technical as well as the overall development of students. She also briefed about Road Map for activities and challenges & opportunities in Data Science.

Parent-Teacher Meeting

A Parent-Teacher Meeting took place on February 3, 2024, from 2:00 PM to 4:30 PM in LAB1, Silver Jubilee Block. Prior notification was sent to parents through official student groups, followed by individual phone calls facilitated by class teachers and mentors well in advance. Additionally, a WhatsApp group was created to inform all parents, and invitation cards were distributed.

Objectives:

• Share academic progress and growth through classroom observations, testing data, assessments, portfolios, and assignments.
• Foster a better understanding between parents and teachers, as well as a harmonious relationship between the institute and the community.
• Assist parents and students in adapting to the evolving concepts of society.
• Communicate academic progress and growth based on classroom observations, assessments, portfolios, and assignments.
• Gain insight from parents or guardians to better understand students' strengths, needs, performances, and learning styles.

Event on “Coding and Debugging”

Event on “Coding and Debugging” conducted on 31/01/2024 by the Data Science Student Forum, Department of CS – Data Science at Lab1, 3^rd Floor, Silver Jubilee Block.

The event was inaugurated by Dr. Aradhana D. Head of the department. DS – Forum Coordinator Mr. Manjunath Kammar and staff members. The event coordinators are Niharika Shree, Sree Vardhani, Harishita and Sruthi 3^rd Semester Data Science..

Coding and Debugging event is a Quiz Competition on Programming Language which contains 3 rounds. Every round students evaluated based on their performance and shorted listed the participants. Final Round winners are Poorvi,Sai Kiran and Varshin.

Workshop on “Web Development”

Value Added workshop on “Web Development” conducted on 31/01/2024 by the Data Science Student Forum, Department of CS – Data Science at Lab1, 3^rd Floor, Silver Jubilee Block.

The event was inaugurated by Dr. Aradhana D. Head of the department.                   DS – Forum Coordinator Mr. Manjunath Kammar and staff members. The event coordinators are Mohammed Kaif, Syeda Kanees Fathima,  K. Roopa Shree,  S . Mounika,  K . Lavanya,  T . Sanjana,  Meghana and  Pragna 3rd Semester                    Data Science.

The Web Development Workshop is a learning event designed to give individuals an introduction to the basics of web development. During the workshop, attendees will learn the fundamentals of HTML, CSS, and JavaScript, as well as the basics of web design and development. Students covered various topics of Web Technology, conducted practical session and also demonstrated creation of web pages.

Head of the department distributed the letter of appreciations to the student coordinators with vote of thanks.

CSE-DS Student Forum Activities