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Department

Affiliation

Approvals

Accreditation

Duration

Intake

Artificial Intelligence and Data Science

VTU, Belagavi

AICTE & Govt. of Karnataka

NAAC & NBA

4 years (8 semesters)

60

Department

Artificial Intelligence and Data Science

Affiliation

VTU, Belagavi

Approvals

AICTE

Duration

4 years (8 semesters)

Intake

60

Overview

HOD’s Message

Advisory Board

Vision & Mission

Goals

Outcome Based Education (OBE)

Course Curriculum

Course Outcomes (CO)

Infrastructure / Facilities

Student’s Chapters

Tie-Ups & MoU

Teaching

Non-Teaching

Faculty

Student

Awards

Alumni

Academic Results

Media Coverage

Research in Artificial Intelligence and Data Science (AI & DS)

Research Initiatives

Projects/Grants

Publications

Overview

Training & Placement

Placement Statistics

Events

Internships

Webinars

Conference/Seminars

Workshops/FDP

Guest Lectures/Tech Talks

Industry Visits

Newsletter

Calendar Of Events

Time Table

Syllabus

Teacher’s Notes

Class Incharge

B.E programme in Artificial Intelligence and Data Science (AI & DS) is introduced from this Academic Year 2021 – 2022. Artificial Intelligence and Data Science AI & DS is an emerging technology innovation that provides effective solutions to specific industry requirements that are either incompatible or infeasible for traditional technology. Artificial Intelligence is humanoid thinking which is built into high speed, sophisticated and resourceful computing systems. Whereas typically, AI addresses the algorithmic part of the solutions space the DS extracts knowledge from structured and unstructured data.

The ability to visualize domain problems and leverage Engineering solutions in a specialized way with host of merits has thrown open multitude of applications to AI and DS. Robotics, Virtual Assistant, Finance, Chatbots, Natural Language Processing (NLP), Search Engines, Web scraping, Search based decision logic, Image processing, Speech Recognition, smart manufacturing and Gaming are some of the potential domains where AI & DS are extensively employed.

This Under Graduate programme in AI & DS, to begin with, impart an in-depth knowledge of the mathematical foundations required to build AI systems ground-up. Fundamental courses that embody the principles and techniques of AI, DS and Machine Learning (ML) constitute the second significant part of the curriculum. The third significant part of the curriculum endow the students with programming skills in Java, C/C++, Python and R programming languages. With this comprehensive curriculum, this Programme targets to equip students to build solutions for complex engineering problems.

“The goal of AI & DS is to turn data into information, and information into insight.”

B.E programme in Artificial Intelligence and Data Science (AI & DS) is introduced from this Academic Year 2021 – 2022. Artificial Intelligence and Data Science AI & DS is an emerging technology innovation that provides effective solutions to specific industry requirements that are either incompatible or infeasible for traditional technology. Artificial Intelligence is humanoid thinking which is built into high speed, sophisticated and resourceful computing systems. Whereas typically, AI addresses the algorithmic part of the solutions space the DS extracts knowledge from structured and unstructured data.

The ability to visualize domain problems and leverage Engineering solutions in a specialized way with host of merits has thrown open multitude of applications to AI and DS. Robotics, Virtual Assistant, Finance, Chatbots, Natural Language Processing (NLP), Search Engines, Web scraping, Search based decision logic, Image processing, Speech Recognition, smart manufacturing and Gaming are some of the potential domains where AI & DS are extensively employed.

This Under Graduate programme in AI & DS, to begin with, impart an in-depth knowledge of the mathematical foundations required to build AI systems ground-up. Fundamental courses that embody the principles and techniques of AI, DS and Machine Learning (ML) constitute the second significant part of the curriculum. The third significant part of the curriculum endow the students with programming skills in Java, C/C++, Python and R programming languages. With this comprehensive curriculum, this Programme targets to equip students to build solutions for complex engineering problems.

“The goal of AI & DS is to turn data into information, and information into insight.”

Welcome to the Department of Computer Science & Engineering(AI & DS), DBIT.

Welcome to the Department of Artificial Intelligence and Data Science at Don Bosco Institute of Technology (DBIT), Bengaluru. ! It is my pleasure to extend a warm and enthusiastic greeting to all of you who have chosen to embark on this exciting and intellectually rewarding journey.

Since its establishment in 2021-22, the department has maintained an exemplary academic record. The MOUs are in process with leading industries and partnerships with professional bodies like IEEE, ISTE and CSI.

In today’s digital age, data has become the most valuable resource, and artificial intelligence is the driving force behind technological advancements that are reshaping industries, society, and our daily lives. At the heart of this transformation lies the convergence of AI and Data Science, and our department is dedicated to equipping you with the knowledge, skills, and mindset required to excel in this rapidly evolving field.

hod_ai-ds

Dr.Gowramma G S

Ph.D.,B.E., M.Tech
080-28437028 / 29 / 30 | Ext:189
hod.ai-ds@dbit.co.in

As you step into this program, I encourage you to embrace the limitless possibilities that AI and Data Science offer. Here, you will not only learn the fundamental principles and technologies that underpin these disciplines but also immerse yourself in hands-on projects and real-world applications. Our curriculum is designed to foster a deep understanding of the theoretical foundations, ethical considerations, and practical implementation of AI and data-driven solutions.

Our team of dedicated faculty members, who are experts in their respective domains, is committed to guiding and mentoring you throughout your academic journey. Their passion for research and innovation is contagious, and we encourage you to engage with them, ask questions, and explore the frontiers of knowledge.

In this department, we emphasize the importance of creativity, critical thinking, and problem-solving. AI and Data Science require not only technical competence but also the ability to think innovatively, adapt to change, and work collaboratively. These skills will not only prepare you for a successful career but also enable you to make a positive impact on the world.

I also want to stress the significance of ethics and responsibility in AI and Data Science. With great power comes great responsibility, and we expect our graduates to approach their work with integrity, ensuring that the technology they develop serves the greater good and respects individual privacy and human rights.

The journey ahead will be challenging, but it will also be incredibly rewarding. You will have opportunities to participate in cutting-edge research, internships, and collaborative projects that will set you on a path toward success in your chosen career. I encourage you to make the most of your time here, and remember that the knowledge and experiences gained during your studies will shape not only your future but also the future of AI and Data Science.

Once again, welcome to the Department of Artificial Intelligence and Data Science. I am excited to see the incredible things you will achieve during your time here, and I look forward to celebrating your accomplishments as you progress through this program.

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Advisory Board

User Icon

Dr.Gowramma G S

Professor
Date Of Join: 09-07-2007
Experience: 26 years
M.tech.,Ph.D.
Regular
User Icon

Dr. Nagaraja. P

Professor
Date Of Join: 09-05-2022
Experience: 35 years
M.tech.,Ph.D.
Regular
User Icon

Prof. Keshava Murthy

Professor
Date Of Join: 18-10-2022
Experience: 35 years
M.E.
Part-Time
User Icon

Dr. Ranjini.P S

Professor
Date Of Join: 30-07-2007
Experience: 24 years
M.tech.,Ph.D.
Regular

Vision & Mission

Vision

  • To develop high caliber Data Science professionals who can render innovative software services based on AI technologies to provide solutions to ethical problems.

Mission

  • M1: To provide skill-based training to students on software tools relevant to AI and DS.
  • M2: To inculcate specific professional thinking in students which would help them conceptualize AI solutions using DS.
  • M3: To inculcate professional ethics which supports students to provide AI based solutions limited to ethical problems only.
  • M4: To provide students with fundamental knowledge of relevant mathematics in order to make them conceptualize AI based solutions.

Goals

Short Term Goals

  • Teach students the basic principles that underlie modern computational technology.
  • Help students apply their knowledge of computer science to the solutions of the problems arising in various disciplines.
  • Enhance students’ ability to communicate ideas clearly and concisely.
  • Familiarize students with current technological trends and breakthroughs in computer science, such as Machine Learning, NLP, Gen AI.
  • Encourage students to participate in national and international events in the field.

Long Term Goals

  • Transform the department and its students into a multidisciplinary stream where students can collaborate with other departments for research.
  • Strive to become a centre of excellence in the discipline.
  • Encourage students to take up entrepreneurship in the field.
  • Widen the scope of the faculty by helping them pursue cross-discipline research topics like robotics and machine vision.
  • Expand current capabilities of research centre and laboratories.

Outcome Based Education

  • PEO1: Graduates shall be able to use their knowledge to identify real-life problems that fit well into the solution framework of AI and be able to architect solutions using paradigms of DS.
  • PEO2: Graduates shall work individually and in teams for developing innovative solutions in the area of AI & DS.
  • PEO3: Graduates shall be able to grow professionally by enhancing their knowledge and skills through continuous learning.
  • PEO4: Graduates shall exhibit ethical thinking while leveraging their knowledge of AI and DS to build technology solutions.
  1. PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. PO2: 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. PO3: 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 public health and safety, and cultural, societal, and environmental considerations.
  4. PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including the design of experiments, analysis, and interpretation of data, and synthesis of the information to provide valid conclusions.
  5. PO5: 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. PO6: The engineer and society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues, and the consequent responsibilities relevant to professional engineering practice.
  7. PO7: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of sustainable development and its need.
  8. PO8: Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.
  9. PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and society at large, such as being able to comprehend and write effective reports and documentation, make effective presentations, and give and receive clear instructions.
  11. PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s work, as a member and leader in a team, to manage projects in multidisciplinary environments.
  12. PO12: Life-long learning: Recognize the need for, and have the zeal and ability to engage in independent and life-long learning in the broadest context of technological change.
  • PSO1: Model specified real-life problems using AI paradigms and solve challenges of Big Data by applying acquired technical knowledge.
  • PSO2: Develop enough potential to work in teams to address multidisciplinary problems using technical knowledge and life skills.
  • PSO3: Keep pace with technological advancements to leverage state-of-the-art solutions based on Artificial Intelligence and Data Science.

Course Curriculum

Course Outcomes

Artificial Data Science Infrastructure

Advance AI Technologies

explores advanced neural network designs, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers. The course covers how these architectures are used for tasks like image recognition, sequence modeling, and natural language processing. Students will learn about network layers, activation functions, and training techniques, gaining skills to build and optimize deep learning models for complex real-world applications.

Reinforcement Learning

focuses on training models through interactions with an environment to make decisions. The course covers key concepts such as reward signals, Q-learning, and policy gradients. Students will explore techniques for optimizing decision-making policies and handling exploration versus exploitation. By the end, they will be equipped to design and implement reinforcement learning algorithms for applications in robotics, game playing, and autonomous systems.

Student Chapter

Coming Soon

Tie & Ups

Coming Soon

Teaching

Dr.Gowramma G S

Dr.Gowramma G S

Professor
Date Of Join: 09-07-2007
Experience: 26 years
Dr. Nagaraja. P

Dr. Nagaraja. P

Professor
Date Of Join: 09-05-2022
Experience : 35 years
Prof. Keshava Murthy

Prof. Keshava Murthy

Professor
Date Of Join: 18-10-2022
Experience : 25 Years
Dr. Ranjini.P S

Dr. Ranjini.P S

Professor
Date Of Join: 30-07-2007
Experience : 23 years
Mr.Sampath Kumar.S.

Mr.Sampath Kumar.S.

Assistant Professor
Date Of Join: 01-04-2023
Experience : 21 years
Mrs. Subhashini.B N

Mrs. Subhashini.B N

Assistant Professor
Date Of Join: 22-04-2024
Experience : 25 years
Mrs. Mamatha K

Mrs. Mamatha K

Assistant Professor
Date Of Join: 02-02-2024
Experience : 22years
Mrs. Meghana HM

Mrs. Meghana HM

Assistant Professor
Date Of Join: 01-01-2024
Experience : 11years
Miss. Sapna. S Basavaraddi

Miss. Sapna. S Basavaraddi

Assistant Professor
Date Of Join: 27-05-2024
Experience : 6 years

Non Teaching

mens

Mr. Shanthamurthy

System Admin
Date Of Join: 16-01-2024
Experience: 12 years
Diploma
ladies

Mrs. Chiatra K N

Lab Instructor
Date Of Join: 12-02-2024
Experience: 7 years
BE
mens

Mr. Raghukumar A N

Office Assistant
Date Of Join: 02-02-2022
Experience: 2 years
B.B.M.
ladies

Mrs. Renuka B M

Attender
Date Of Join: 27-02-2009
Experience: 15 years
SSLC
ladies

Mrs.Meena R

Attender
Date Of Join: 04-03-2017
Experience: 7 years
SSLC
Vol 1 Issue 1 - 19-07-2018
Vol 2 Issue 1 - 19-07-2019
Vol 3 Issue 1 - 02-01-2020
Vol 3 Issue 2 - 20-08-2020
Vol 4 Issue 1 - 14-01-2021
Vol 4 Issue 2 - 05-08-2021
Vol 5 Issue 1 - 10-01-2022
Vol 5 Issue 2 - 11-07-2022

Faculty

Coming Soon

Student

Coming Soon

Awards

Coming Soon

Academic Result

Coming Soon

Media Coverage

Coming Soon

RESEARCH AT THE DEPARTMENT OF AI & DS

Research Areas

The Department of Artificial Intelligence and Data Science, Don Bosco Institute of Technology, Bengaluru was established in the year 2021-22, with an intake of 60 students. DBIT is permanently affiliated to Visvesvaraya Technological University (VTU), Belagavi, Karnataka.

The department has state-of-art infrastructure in terms of well-equipped laboratories and library for staff and students. It has qualified and experienced teaching faculty. It supports students to understand the fundamentals of AI & DS, apply them in design and development of projects to resolve complex, real-time problems. The department has got excellent ambience for research in diversified areas. The department has got a wide technical spectrum through the Centre of Excellence, Innovation lab, industry tie-ups, collaboration and MOUs.

Cloud Computing

Cloud computing implementation is being done in our DBIT-Data Centre. The primary benefit of moving to Clouds is application scalability. With the rapid advance of cloud computing, the data centre plays a key role. Cloud Computing Research areas are Green Cloud Computing, Edge Computing, Cloud Cryptography, Load Balancing, Cloud Analytics, Cloud Scalability, Mobile Cloud Computing.Several projects which can be deployed on the cloud are being developed by our students, faculty members, and research scholars.

Internet of Things (IoT)

Internet of Things, popularly recognized as IoT, is an emerging technology. IoT is dominating the Information Technology field because of “Smart Objects” which can freely “talk” to each other and generate an enormous volume of data, spread across different communication networks. Interconnectivity, related to what sensors can now capture, plays a very important role in the IT field. Every field of human requirement including Health care, Retail, Disaster Management, Traffic Management, Secured and Smart Homes, Smart Cities, Smart Agriculture are depending on the Internet of Things. We are developing innovative applications on the IoT domain, which support societal needs.

Cloud Security

With the rapid development of computer technology, cloud-based services have become an emerging topic. Cloud-based services not only provide users with convenience but also bring many security issues. Therefore, the study of access control schemes to protect user privacy in a cloud environment is of great significance. We are exploring the various mechanisms to achieve security measures in cloud computing which provide a major research field.

Artificial Intelligence and Machine Learning (AI&ML)

Machine Learning is a recently developed field belonging to Artificial Intelligence. It tries to mimic the human brain, which is capable of processing complex input data, learning different knowledge intellectually and fast, and solving different kinds of complicated tasks well. Switching these features of the human brain to a learning model, the model can be dealt with the high-dimensional data, support a fast and intellectual learning algorithm and perform well in the complicated AI tasks like computer vision or speech recognition. Deep architecture is believed to be such kind of model, with good learning algorithms for deep learning and excellent performance in solving AI tasks.

Data Mining

Data mining is an extensively used technique for extracting frequent patterns in large databases. By extracting unique patterns, data mining provides information to numerous problems. Mining algorithms are applied in various domains, it is mainly used to predict trends and forecast business activities by extrapolation in business and economics, in the medical field to predict the onset of seasonal diseases, to identify new and antibiotic-resistant diseases, and in almost all fields of science and technology. Though data mining can bring huge benefits, it also raises some privacy concerns, e.g. when a medical database is shared, preserving the privacy of the data is also important to avoid violation of individual patient’s highly personal information.

Image Processing

Image processing is a method to perform some operations on an image, to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Some open research areas in image processing are Automatic Detection, Classification, Identification of Single and Multiple objects, Automatic Image, Enhancement, Image Segmentation, Image Classification, Image Compression Image Inpainting, Image Restoration.

Natural Language Processing

Natural Language Processing (NLP) is the application of Linguistics, Computer Science, Information Engineering, and Artificial Intelligence in the interactions between computers and human (natural) languages. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a valuable manner. Computers are programmed to process and analyze large amounts of natural language data. Some of the tasks associated with NLP include Grammar Induction, Lemmatization, Morphological Segmentation, Part-of-Speech Tagging, Treebank Generation, Parsing, Stemming, Automatic Summarization, Co-reference Resolution, Discourse Analysis, Speech Recognition, Speech Segmentation and Text-To-Speech Synthesis (TTS).

Grid Computing

Grid computing is the use of widely distributed computer resources which enables grids composed of many networked loosely coupled computers acting together to perform large tasks. It enables scheduling of jobs, balancing the load, migrating the jobs, partitioning the tasks into manageable units for parallel and distributed processing, and tolerance to the failures and faults. It enables the high-level availability from the pool of resources for the applications throughout the world.

Sl. No Name of Faculty Designation Teaching Experience Research Experience Industrial Experience Total Experience
1 Dr. B. K Raghavendra Professor & HOD 26 10 2 26
2 Dr. Rajashekhar M Patil Professor 24 15 1 24
Sl. No Name of Faculty Status Research Center
1 Mr. Anil Kumar C J Open Seminar-1 Completed DBIT, Bengaluru-VTU
2 Mr. Ugranada Channabasava Open Seminar-1 Completed DBIT, Bengaluru-VTU
3 Mr. Sandeep H Open Seminar-1 Completed DBIT, Bengaluru-VTU
4 Mr. Santhosh Kumar S Comprehensive Viva Conducted DBIT, Bengaluru-VTU
SI. No Name of Faculty Status Research Centre and University
1 Ms. Gowramma G.S. Thesis submitted RVCE, Bengaluru – VTU
2 Mr. Emmanvel Raj M. C Waiting for final Dissertation Ambajogai, JNTUH, Hyderabad
3 Mr. Shankara Gowda S.R. Completed Comprehensive Viva VTU Regional Centre, Bengaluru – VTU
4 Mr. Ugranada Channabasava Completed Comprehensive Viva DBIT, Bengaluru – VTU
5 Mrs. Asha K.H. Completed Comprehensive Viva DBIT, Bengaluru – VTU

Research Initiatives

B.E programme in Artificial Intelligence and Data Science (AI & DS) is introduced from this Academic Year 2021 – 2022. Artificial Intelligence and Data Science AI & DS is an emerging technology innovation that provides effective solutions to specific industry requirements that are either incompatible or infeasible for traditional technology. Artificial Intelligence is humanoid thinking which is built into high speed, sophisticated and resourceful computing systems. Whereas typically, AI addresses the algorithmic part of the solutions space the DS extracts knowledge from structured and unstructured data.

Future Skills

In today’s highly competitive world, electrical engineers who possess the proper training, education, and experience often find that they have multiple career opportunities and options available. The skills that would be of prime importance in the future are:
  • Competence in the application of the latest software for various domains.
  • Adaption to various kinds of challenges/harsh environments.
  • Data collection and analysis.
  • Use of state-of-art IT tools.

List of Future Domains

The major thrust areas are:

  • Power Systems
  • Power Electronics
  • Renewable Energy Sources
  • Hybrid Electric Vehicles
  • Smart Grids

Industry Connect

The department shares a robust connection with industry on multiple fronts. The department organizes periodic visits to the industries driving core segments. The expert talks from the host of industry folks not only triggers the interest among the students about the futuristic models but also prepares them to handle the unforeseen challenges of the industry. The department has also signed MOUs with reputed core firms to boost the employability of the fresh engineers apart from venturing into consultancy activities.

Project

Coming Soon

Research At The Department

  • Dr. Ranjini.P.S, “Topological indices of some operations in cycle graphs related to EV and VE degrees” Montes Taurus Journal of Pure and Applied Mathematics, 2024, ISSN: 2687-4814.
  • Mrs. Subhashini.B.S., “Reduction of Power losses in stacked multicell converter fed wind energy conversion system using hybrid methodology” International Journal of Multidisciplinary Research, 2024, ISSN: 2582-2160.
  • Mrs. Meghana H M, “Smart IoT Kitchen Automation And Grocery Management” International Journal of Innovative Research in Computer and Communication Engineering, 2023, ISSN: 2320-9798.
  • Dr. Ranjini.P.S, “Zagreb indices of link graphs related to carbon nanocone, nanotube” International Journal of Health Sciences, 2022, 5671-5685.
  • Dr. Ranjini.P.S, “The K.Banhatti Indices of Certain Graphs” Southeast Asian Bulletin of Mathematics, 2022, 453-466.
  • Dr. Gowramma G S, “IVF success rates prediction using hybrid ANN-GA based machine learning model” IEEE Xplore, 978-1-6654-5648-7, 2022.
  • Mr. Sampathkumar S, “Classification of Rice Varieties Using Machine Learning Techniques For Agricultural Applications” European Chemical Bulletin, 2063-5346, 2023.
  • Mr. Sampathkumar S, “Ensemble modulation pattern based paddy crop assist for atmospheric data” International Journal of Computer Science and Network Security, Vol22, 2022.
  • Dr. Ranjini.P.S, “M-polynomials and topological indices of benzene ring embedded in p type surface in 2d network” Chinese Journal of Mathematical Sciences, 2021, 2634-2359.
  • Dr. Ranjini.P.S, “Computation of the SK Index over different corona products of graphs” Palestine Journal of Mathematics, 2021, 2219-5688.
  • Dr. Gowramma G S, “Visual Analytics System for evaluating IVF data predicting live birth” Journal of Research Proceedings, Volume 1, Issue 2, 2021.
  • Dr. Gowramma G S, “Evaluation of Machine Learning Algorithms on the Prediction of Live Birth Occurrence” International Journal of Pharmaceutical Research, 13(2), pp 3243-3251, 2021, 0975-2366.
  • Mrs. Meghana H.M, “Facial Image Manipulation and Detection” International Journal of Innovative Research in Computer and Communication Engineering, 2022, 2320-9801.
  • Dr. Gowramma G S, “Visual Analytics System for evaluating IVF data predicting live birth” Journal of Research Proceedings, Volume 1, Issue 2, 2021.
  • Dr. Ranjini P.S, “M-Polynomial of Valency-Based Topological Indices of operators on Titania Nanotubes TiO2[m,n] Networks” International Journal of Advances and Applications in Mathematical Sciences, Vol 5, 2020, 0974-6803.
  • Dr. Ranjini P.S, “SK Indices of Graph Operator S(G) and R(G) on few Nanostructures” Montes Taurus Journal of Pure and Applied Mathematics, 2020, 2687-4814.
  • Dr. Ranjini P.S, “K-Banhatti indices, K-hyper Banhatti indices, Forgotten index, First hyper Zagreb Index of generalized transformation graphs” Electronic Journal of Mathematical Analysis and Applications, Vol 9(2), 2021, 2090-729X.
  • Dr. Gowramma G.S, “Air pollution data analysis using ARIMA model” International Journal of Advance Research, Ideas And Innovations In Technology, Vol 5, 2019, 2454-132X.
  • Dr. Gowramma G.S, “Depression prediction among Type 2 diabetic patients based on machine learning techniques” International Journal of Research and Analytical Reviews, Vol 6, 2019, 2349-5138.
  • Dr. Gowramma G.S, “Intrinsic and Extrinsic factors predicting the cumulative outcome of IVF/ICSI treatment” International Journal of Innovative Technology and Exploring Engineering, Vol 9, 2019, 2278-3075.
  • Dr. Ranjini.P.S, “Some Topological Indices computing results and subdivision IF Archimidian Lattices” International Journal of Advance and Innovative Research, 2019, 2394 – 7780.
  • Dr. Ranjini.P.S, “Degree Sequence of Graph Operator for some Standard Graphs” Sciendo, 2020, 2444-8656.
  • Dr. Gowramma G.S, “A Comparitive Analysis on Evaluation of Classification Algorithms Based on Ionospheric Data” International Journal of Computer Sciences and Engineering, 2018, 2347-2693.
  • Dr. Gowramma G.S, “Introducing K- Means Algorithm to Predict and Detect Heart Attack Disease in Machine Learning” International Journal of Computer Sciences and Engineering, 2018, 2347-2693.
  • Dr. Gowramma G.S, “A Survey: Heart Disease Prediction Module Using Machine Learning Techniques and Big Data Approaches” International e-Journal For Technology and Research, 2018, 2347-2693.
  • Dr. Ranjini.P.S, “Bounds of Harmonic Index” Contemporary Studies in Discrete Mathematics, 2018.

Placements

Placement Training Program
Placement Training Program
The Department of Training & Placement offers comprehensive training to ensure students are fully prepared for successful placements. We conduct exclusive, extended pre-placement training programs to enhance employability skills.
  • Java Enterprise Edition (JEE) & Soft Skills Training: A 400-hour intensive program sponsored by Capgemini through Technoserve, focusing on JEE and essential soft skills development.
  • Aptitude & Soft Skills Training for MBA Students: Tailored sessions designed to enhance both technical and interpersonal skills crucial for MBA graduates.
  • Aptitude & Soft Skills Training for Engineering Streams: Comprehensive training programs aimed at equipping engineering students across all streams with necessary aptitude and soft skills.
Additionally, we organize a series of mock interviews and mock aptitude tests to simulate real-world recruitment processes and help students build confidence and improve their performance.
Career Guidance
Career Guidance

The Department of Training & Placement is dedicated to guiding every student towards a successful career path. We regularly organize career guidance sessions and invite industry experts for discussions and webinars to provide insights and advice.

Job Opportunities

Our department offers a range of pre-placement training programs and value-added courses to enhance students’ skills in line with the latest market trends. We assist students in securing internships and pre-placement offers with renowned companies and organizations, providing personalized support and guidance. Additionally, we raise awareness about career opportunities in Indian Civil Services, government, and public sectors, offering the necessary guidance to help students navigate these options.

Higher Studies

For students interested in pursuing higher education or studying abroad, the Department of Training & Placement offers extensive guidance. We conduct awareness programs on various entrance examinations, including GRE, IELTS, TOEFL, SAT, MCAT, LSAT, GMAT, and GATE, and provide information on university selection criteria and application processes.

Entrepreneurship

We actively encourage our students, faculty, and alumni to foster innovation and entrepreneurship through our Entrepreneurship Development Cell. We provide comprehensive support and guidance for writing project reports, understanding company registration processes, preparing investment pitches, and utilizing infrastructure facilities to help turn unique ideas into successful business ventures.

Industry Interface
Industry Interface
  • Technical Seminar on: “Semiconductor Nation Building ESDM Nation”.
  • Webinar on: “Next Generation Technology Focusing on Artificial Intelligence”.
  • Motivational Lecture: Career Opportunities in the Indian Air Force.
  • Collaboration with EdgeVerve Systems Ltd: Infosys Fintech Certification Program.
  • Associated with TCS NQT: For placements.
  • Collaboration with NASSCOM IT–ITeS SSC: Future Skill Program to upskill industry-relevant knowledge.
Value Added Programs
Certification Programs and Awareness Sessions
  • Certification Program on Enterprise Technology and Data Centre Architecture: Offered by ABSTREAM Technologies. The Data Centre provides internships and projects that offer hands-on experience in Data Centre Architecture and Data Processing for research and analysis.
  • Video Proctored Certification Drive: Conducted by Infosys Springboard.
  • Certification Programs on Career Edge, Campus Commune & Code Vita CODING TEST: Offered by TCS.
  • Certification Program in Robotics: Provided by KUKA.
  • Certification Program on PLM: Provided by Siemens.
  • Certification Program on Infosys Springboard Learning Portal: A comprehensive learning platform for students.
  • Certification Program on Python Programming: Offered by M/s Eduranz.
  • Awareness Session: Covers the Graduate Aptitude Test in Engineering (GATE), Civil Service Exams, and Higher Studies to prepare students for government sector jobs, private sector jobs, and study abroad opportunities.
Support to Admissions
Support to Admissions

The Department of Training and Placement has been actively supporting the admissions team through various initiatives.

  • Venue for Conducting Online & Offline Exams: Hosting exams for several agencies to enhance brand visibility.
  • Setting Up Helpdesks: At COMED K Seat Selection Centres to assist parents and students.
  • Organizing Competitions: Such as the Science Wizard Quiz for PU students.
  • Conducting Offline Recruitment Exams: For Mangalore Refinery Petrochemical Ltd (MRPL).
  • Conducting Online CFA Exams: Through Vision Tech Park Pvt Ltd.
  • Venue for GATE Online Recruitment Examination: Providing facilities for candidates.
  • Venue for INDO-TIBETAN BORDER POLICE FORCE Offline Exam: Supporting recruitment efforts.
  • Venue for NTA SWAYAM Online Exam: Facilitating online examinations.
  • Venue for NTA JEE Exams: Providing a venue for online exams.
  • Venue for Conducting Various Examinations: Including NEET, AIMS, CET, KSOU, and more.

Our Premium Recruters

Placement Training Program

Java & Skills

Training on Java Enterprise Edition (JEE) and Soft skills training program for 400 Hours, Sponsored by Capgemini through Technoserve

MBA Skill Development

Aptitude and Soft Skills Training Program for MBA Students: Enhance Your Abilities for Success in the Business World and Career Advancement

Engineering Skill

Aptitude and Soft Skills Training Program for All Engineering Streams: Boost Your Career Readiness and Enhance Your Problem-Solving and Communication Skills

Career Guidance

Job Opportunities

The Department of Training & Placement offers conventional pre-placement training and value-added programs for skill enhancement based on current market trends. We assist students in securing internships and pre-placement offers from reputable companies, ensuring individual attention and support. Additionally, we provide guidance on opportunities in Indian Civil Services and the public sector.

Higher Studies

The Department of Training & Placement offers guidance for students pursuing higher studies abroad. We conduct awareness programs on entrance examinations such as GRE, IELTS, TOEFL, SAT, MCAT, LSAT, GMAT, and GATE. Additionally, we provide information on selection criteria for university applications, ensuring students are well-prepared for their academic journeys.

Entrepreneurship

We encourage students, faculty, and alumni to establish incubation centers with innovative ideas through our Entrepreneurship Development Cell. Our team provides essential guidance on writing project reports, information on company registrations, investment pitches, and access to infrastructure facilities to support your entrepreneurial journey and bring your unique concepts to life.

TRAINING @ DBIT DATA CENTRE

Data is a new and invaluable asset and Big Data is being generated across the world, like never before. The richest businessmen of the world are dependent and thrive on data. DBIT proudly hosts a State-of-the-Art Data Centre for skilling circuit branch students in Enterprise Technologies which is one of the emerging cutting edge technologies to store the Big Data.
The data centre offers vast and real-time opportunities in the areas of Internships and Projects to provide exposure to the Architecture of the Data Centre along with Data Processing for Research and Analysis, and so on.

Placement Statics

Webinars

A life to experience

Organized

Department of MBA has Hosted a Webinar on “Managing Your Finances – COVID Times” by a Finance Expert Mr. Gururaj, Assistant Vice President, Aditya Birla Sun Life Asset Management Company. . Around 230 attendees across the country have participated in the event.

June 10th 2021

Department of MBA has Organized an Online “Free PGCET Coaching” for 2020 MBA Aspirants. Around 80 MBA aspirants were benefited by this programme.

Oct 5th & 6th 2020

Department of MBA has hosted a webinar on “Placement Strategy: Post Pandemic” by an Industry Expert Mr. Vinod Prabhu B, Managing Director, Seventh Sense Talent Solutions. Around 150 attendees across the state have participated in the Event.

May 23rd 2023

Department of MBA Organized Online Business Quiz Competition “Quiz fiesta – 2K20”. Around 150 participants across the state have taken part in the competition. The College has awarded them with cash prize for first three winners.

May 21st 2020

Department of MBA has organized an “Out Bound Training Programme” for 1st Year students

Aug 2019

Confrence

A life to experience

Organized

Five days International Conference on "Innovations and Challenges in Science and Technology" (ICICST-2019)

Dec 19th- 23rd 2019

No of Papers Presented: Abstracts received – National and International authors: 207,Participants- 152, Distinguished Speakers: 12, Session Chair Persons: 10.
About Conference/Seminar: —

Three days International Conference on "International Conference on Innovations and Challenges in Science and Technology" (ICICST-2018)

May 10th – 12th 2018

No of Papers Presented: Abstracts received – National and International authors: 153,Participants- 104, Distinguished Speakers: 11, Session Chair Persons: 6
About Conference/Seminar: —

Workshops / FDP

A life to experience

Organized

Workshop on “Introduction to R and Data Science”

29th Feb2020

Guest Speaker / Resource Person: Dr. C. P. Ravi Kumar, Director, Talent Development, Texas Instruments, Bengaluru.

No of Attendees, Audience: 45, 6th Semester Students

About Workshop: –

 

FDP on “One-day Hands-on session on AWS Educate –Cloud Literacy Day and Salesforce - Student Journey India”

24th Oct 2019

Guest Speaker / Resource Person: Dr. Manjunath Swamy B E, Associate Professor, Dept. of CSE, DBIT, Bengaluru.

No of Attendees, Audience: The FDP was attended by 42 faculty members from various departments and institutions.

About Workshop: –

Workshop on “Machine Learning With Hands-on Session”

4th October 2019

Guest Speaker / Resource Person: Mr.Vinay M. Haritsa Technical Director, Vtricks Technology, Bengaluru.

No of Attendees, Audience:  68, 5th and 7th Semester Students

About Workshop: –

FDP on “Cloud Computing with Hands-on Sessions”

22nd July to 26th July 2019

Guest Speaker / Resource Person: 1. Mr. Shivananda R Poojara, Consultant, Manjrasoft Pty Ltd. Melbourne, Australia.
2. Mr. Tokala Durgarao, Senior Technical Manager-Development, Cloud GBF, Oracle India Pvt. Ltd. Bengaluru.

No of Attendees, Audience: The FDP was attended by 42 faculty members from departments of CSE, ISE, and Mathematics from various institutions.

About Workshop: –

Guest Lectures

A life to experience

By Academician

Technical Talk on “Current Trends and Future of EV and Hybrid EV”

Feb 29th 2020

Guest Speaker / Resource Person: Dr. Sanjeev K. Nayak, Specialist, Automotive Division, L & T Technology Services, Bengaluru.
No of Attendees, Audience: 108, 3rd, 5th & 7th Semester Students and Faculty

 

Guest Lecture on The Wonder World of Nanotechnology

Nav 29th 2019

Guest Speaker / Resource Person: Dr. M. S. Santosh, Associate Professor at the Centre for Incubation, Innovation, Research and Consultancy (CHRC), Jyothy Institute of Technology, Bengaluru
No of Attendees, Audience:  248 – I Year B.E students of Chemistry Cycle.

 

Technical Talk on “Insight into Opportunities in IT Sector”

Oct 18th 2019

Guest Speaker / Resource Person: Mr. Tokala Durga Rao, Senior Technical Head, Oracle, Bengaluru.
No of Attendees, Audience: 92, 3rd & 5th Semester Students

 

Guest Lecture on Exploring the Nanoworld: Introduction and Applications

March 3rd 2018 

Guest Speaker / Resource Person: Dr Prasanna D.Shivaramu, Assistant Professor, Department of Nanotechnology, Visvesvaraya Institute of Advanced Technology, Muddenahalli, Karnataka
No of Attendees, Audience: 129 – I Year B.E.Students of Chemistry Cycle.

 

Industry visits

A life to experience

Chemistry Events

A life to experience

Events

Internship

Chemistry Newsletter

A life to experience

Calender

Coming Soon

Time Table

Syllabus

2022 Scheme

3rd Semester
Sl. No Course Code Course Title Scheme/Syllabus
1 BCS301 MATHEMATICS FOR COMPUTER SCIENCE View/Download
2 BCS302 DIGITAL DESIGN AND COMPUTER ORGANIZATION View/Download
3 BCS303 OPERATING SYSTEMS View/Download
4 BCS304 DATA STRUCTURES AND APPLICATIONS View/Download
5 BCSL305 DATA STRUCTURES LABORATORY View/Download
6 BCS306A OBJECT ORIENTED PROGRAMMING WITH JAVA View/Download
7 BSCK307 SOCIAL CONNECT & RESPONSIBILITY View/Download
8 BCS358A DATA ANALYTICS WITH EXCEL View/Download
9 BYOK359 YOGA FOR A BETTER LIFE View/Download
4th Semester
Sl. No Course Code Course Title Scheme/Syllabus
1 BCS401 ANALYSIS & DESIGN OF ALGORITHMS View/Download
2 BAD402 ARTIFICIAL INTELLIGENCE View/Download
3 BCS403 DATABASE MANAGEMENT SYSTEM View/Download
4 BCSL404 ANALYSIS & DESIGN OF ALGORITHMS LAB View/Download
5 BCS405C OPTIMIZATION TECHNIQUE View/Download
6 BBOC407 BIOLOGY FOR ENGINEERS (CSE) View/Download
7 BUHK408 UNIVERSAL HUMAN VALUES (UHV) View/Download
8 BYOK459 YOGA FOR A BETTER LIFE View/Download
9 BDSL456C MERN View/Download
5th Semester
Sl. No Course Code Course Title Scheme/Syllabus
1 BCS501 SOFTWARE ENGINEERING & PROJECT MANAGEMENT View/Download
2 BCS502 COMPUTER NETWORKS View/Download
3 BCS503 THEORY OF COMPUTATION View/Download
4 BAIL504 DATA VISUALIZATION LAB View/Download
5 BAD515C CLOUD COMPUTING View/Download
6 BCS508 ENVIRONMENTAL STUDIES AND E-WASTE MANAGEMENT View/Download
7 BRMK557 RESEARCH METHODOLOGY & IPR View/Download
8 BYOK559 YOGA FOR A BETTER LIFE View/Download

Teachers Notes (All Semesters)

Category Department Download Link
Science and Humanities(S & H) 1st Year-(Physics and Chemistry Cycle) view / download

Teachers Notes (All Semesters)

Category Department Download Links
Science and Humanities (S & H) 1st Year - (Physics and Chemistry Cycle) View / Downloads
Under Graduate (UG) Electronics and Communication Engineering View / Downloads
Computer Science and Engineering View / Downloads
Information Science and Engineering View / Downloads
Mechanical Engineering View / Downloads
Electrical and Electronics Engineering View / Downloads
Civil Engineering View / Downloads
Artificial Intelligence & Machine Learning View / Downloads
Artificial Intelligence & Data Science View / Downloads
Post Graduate (PG) Master of Business Administration (MBA) View / Downloads

Class Incharge

Sem Class Teacher Email ID Phone Number
III Sapna B Basavaraddy Sapna.basavaraddi@dbit.co.in
V Meghana H.M. Meghana.hm@dbit.co.in
VII Mamatha K mamathaise@dbit.co.in
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Placement Assistance

Don Bosco Institute of Technology, Mysore Road, Kumbalagodu, Bangalore - 560074, Karnataka, India
admissions@dbit.co.in | +91-8880-716-716

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Documents Required

  • 10th standard marks card for proof of date of birth - Original + 3 attested photocopies.
  • 12th standard/equivalent marks card - Original + 3 attested photocopies.
  • Transfer certificate from the institution last attended - Original + 3 attested photocopies.
  • Migration Certificate from the University/Board last studied (for students other than Karnataka PU Board, CBSE and ICSE) - Original + 3 photocopies.
  • Conduct Certificate from the institution last attended – Original only.
  • Medical Certificate for ascertaining the blood group.
  • Passport Size Photographs with red background - 10 numbers.
  • Caste cum Income Certificate (for CET and Karnataka Management Students).
  • Seven years study certificate (for CET students only).
  • A copy of the students’ account details (if availing for scholarship offered by various Govt. bodies and private organizations).
  • Photocopy of Aadhar card - 2 numbers.

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