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Artifical Intellegence & Machine Learning

Department

Affiliation

Approvals

Accreditation

Duration

Intake

Computer Science & Engineering ( AI & ML )

VTU, Belagavi

AICTE & Govt. of Karnataka

NAAC & NBA

4 years (8 semesters)

120

Department

Computer Science(AI & ML)

Affiliation

VTU, Belagavi

Approvals

AICTE

Duration

4 years (8 semesters)

Intake

180

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 Computer and Science Engineering(AI&ML)

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

The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Don Bosco Institute of Technology (DBIT), Bangalore, was established in 2020. It began with an intake of 60 students and expanded to 120 students by 2021. DBIT is permanently affiliated with Visvesvaraya Technical University (VTU) in Belagavi, Karnataka, ensuring high academic standards and industry relevance.

The department offers a cutting-edge curriculum in AI and ML, preparing students for the dynamic tech industry. It emphasizes a robust understanding of core concepts and practical skills, focusing on areas such as the Internet of Things (IoT), Data Science, Big Data Analytics, and Mobile Application Development, among others. Students engage in diverse research areas and real-world applications, fostering innovation and critical problem-solving.

With state-of-the-art laboratories and a comprehensive library, the department provides essential resources for learning and research. The faculty, with an average of 15 years of experience, offer valuable insights and guidance. The department also supports student development through curricular, co-curricular, and extra-curricular activities, ensuring a well-rounded education. Industry collaborations, internships, and projects further enhance practical experience, preparing students for successful careers and leadership roles in technology.

The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Don Bosco Institute of Technology (DBIT), Bangalore, was established in 2020. It began with an intake of 60 students and expanded to 120 students by 2021. DBIT is permanently affiliated with Visvesvaraya Technical University (VTU) in Belagavi, Karnataka, ensuring high academic standards and industry relevance.

The department offers a cutting-edge curriculum in AI and ML, preparing students for the dynamic tech industry. It emphasizes a robust understanding of core concepts and practical skills, focusing on areas such as the Internet of Things (IoT), Data Science, Big Data Analytics, and Mobile Application Development, among others. Students engage in diverse research areas and real-world applications, fostering innovation and critical problem-solving.

With state-of-the-art laboratories and a comprehensive library, the department provides essential resources for learning and research. The faculty, with an average of 15 years of experience, offer valuable insights and guidance. The department also supports student development through curricular, co-curricular, and extra-curricular activities, ensuring a well-rounded education. Industry collaborations, internships, and projects further enhance practical experience, preparing students for successful careers and leadership roles in technology.

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

Greetings from the Department of CSE (Artificial Intelligence and Machine Learning) at Don Bosco Institute of Technology (DBIT), Bengaluru. It gives me immense pleasure to lead the Department of Computer Science and Engineering (AI&ML) which is striving towards the goal of providing innovative and quality education to the students to achieve academic excellence.

Since its establishment in 2019-20, the department has maintained an exemplary academic record. The MOUs are in process with leading industries and partnerships with professional bodies like ISTE and CSI.

The CSE (AIML) course emphasizes creativity and innovation and is supported by dedicated faculty who strive to inspire their students. We promote teamwork among students through projects and co-curricular activities. Each student’s overall progress is closely monitored by a proctor and the same is communicated to their parents.

Dr.Anasuya N. Jadagerimath

Ph.D.,B.E.,M.Tech
080-28437028 / 29 / 30 | Ext:141
aiml@dbit.co.in

The motto of the department is to provide quality technical education to make the students industry-ready. Our goal is to ensure that our engineering graduates are well prepared to play the roles of problem solvers, project leaders, entrepreneurs, and above all ethical citizens of a global society.

The excellent infrastructure, dynamic teaching staff along with training and placement cell ensure a bright future for the students. The greatest asset of the department is its highly motivated and learned faculty. The faculty members are involved in research and development activities and are pursuing their Ph.D., in their related domains. The department has conducted several webinars and add-on courses. We are confident that our students will emerge as assets not only to the institution and to the organization they join, but to the society at large. With this, I would like to congratulate the students and staff for their brilliant achievements and wish them a great future.

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Advisory Board

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Dr.Anasuyas N Jadagerimath

Professor & HOD CSE (AI & ML)
Don Bosco Institute of Technology, Bengaluru
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Profe. Umashankar B S

Professor & HOD CSE
Don Bosco Institute of Technology, Bengaluru
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Dr. Deepa Yogish

Associate Professor
Don Bosco Institute of Technology, Bengaluru
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Mr. Dinesh M

Principal Firmware Engineer
Microchip Technology’s Centre

Vision & Mision

Vision

  • Empower the students to be socially responsible technocrats in the area of Artificial Intelligence and Machine Learning through quality education.

Mission

  • To impart knowledge and encourage research and innovation in contemporary technologies.
  • To collaborate with industry and premier institutions for providing enhanced experiential learning.
  • To enable students to become quick learners and develop cutting-edge AI&ML applications.

Goals

Short Term Goals

  • Teach students the basic principles that underlie modern computational technology.
  • Help students apply their knowledge of computer science to solve 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.
  • 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 center 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 centers and laboratories.

Outcome Based Education

  • PEO1: To provide students with a sound knowledge of science, mathematics, and engineering principles together with an in-depth disciplinary knowledge required to succeed in the profession of IT.
  • PEO2: To provide students an academic environment with an awareness of advanced technological growth leading to life-long learning needed for a successful professional career, excellence, and leadership.
  • PEO3: To train students with a wide scientific and engineering knowledge to comprehend, analyse, design, and create innovative software solutions and products for the problems of real life.
  • PEO4: To prepare students for graduate and postgraduate programmes and succeed in their careers in the field of Artificial Intelligence and Machine Learning.
  • PEO5: To empower students with effective communication skills, teamwork, a multidisciplinary approach, and an ability to relate engineering issues to the broader social context.
  • PEO6: To inculcate in students professional and ethical attitude with a strong character to uphold the spiritual and cultural values.
  • PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2: Problem analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • 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 the public health and safety, and the cultural, societal, and environmental considerations.
  • PO4: 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.
  • PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
  • PO6: 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.
  • PO7: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of sustainable development and its need.
  • PO8: Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.
  • PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10: 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 documentation, make effective presentations to give and receive clear instructions.
  • 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.
  • 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: Ability to analyse, interpret, and develop algorithms in the areas related to Artificial Intelligence, Machine Learning, Robotics, Neural Networks, Big data Analytics, Virtual reality, Natural Language Processing and Internet of Things.
  • PSO2: Develop the ability to evolve and adapt as per the new challenges in Artificial Intelligence and Machine Learning.
  • PSO3: Develop and apply Artificial Intelligence Techniques to perform human intelligence tasks such as vision, Natural language processing, face and speech recognition.

Course Curriculum

Course Outcomes

Infrastructure

Natural Language Processing

Explores techniques for analyzing and understanding human language. The course covers text preprocessing, sentiment analysis, named entity recognition, and machine translation. Students will learn to use libraries such as NLTK and spaCy to handle tasks like tokenization and part-of-speech tagging. By the end, they will be able to develop models that interpret and generate human language, applying NLP to real-world scenarios like chatbots and text analysis.

Computer Vision

Focuses on enabling computers to interpret and analyze visual information. The course covers image processing techniques, object detection, and image segmentation using methods like Convolutional Neural Networks (CNNs). Students will learn to work with libraries such as OpenCV and TensorFlow to develop models that can recognize patterns, classify images, and detect objects. By the end, students will be equipped to apply computer vision to practical applications like automated surveillance and image analysis.

Student Chapter

Coming Soon

Tie & Ups

Coming Soon

Teaching

Dr. Rekha S

Associate Professor

13.8 Year’s

Dr. MANU K S

Associate Professor

14 Year’s

Dr. A. J. K Prasad

Professor

Teaching 18
Research 09
Industry 10

Dr. Emmanvel Raj M Chirchi

Professor

26 Years

Dr. Anasuya N. J.

Professor and HOD

26 Years

Dr. Anasuya N. J.

Dr. Anasuya N. J.

professor
Date Of Join: 23-07-2015
Experience: 26
Dr. Emmanvel Raj M Chirchi

Dr. Emmanvel Raj M Chirchi

Professor
Date Of Join: 15-11-2021
Experience : 26
Dr.A.J. K Prasad

Dr. A.J. K Prasad

Professor
Date Of Join: 14-09-2024
Experience : 37
Dr. Manu K S

Dr. Manu K S

Associate Professor
Date Of Join: 02-02-2022
Experience : 14
Dr. Rekha S

Dr. Rekha S

Associate Professor
Date Of Join: 02-05-2024
Experience : 13.8
Dr. Rakshitha C M

Dr. Rakshitha C M

Associate Professor
Date Of Join: 24-04-2024
Experience : 9
Dr. Chethan Chandra S Basavaraddi

Dr. Chethan Chandra S Basavaraddi

Associate Professor
Date Of Join: 28-05-2024
Experience : 12.2
Dr. B.Kursheed

Dr. B.Kursheed

Associate Professor
Date Of Join: 02-03-2022
Experience : 19.6
Prof. Puneeth Kumar P

Prof. Puneeth Kumar P

Assistant prof.
Date Of Join: 28-07-2017
Experience : 16.11
Prof.Sowjanya C M

Prof.Sowjanya C M

Assistant prof.
Date Of Join: 14-02-2022
Experience : 12
Prof. Sanjay Kumar

Prof.Sanjay Kumar

Assistant prof.
Date Of Join: 28-11-2022
Experience : 21
Ashfaq Ahmed R

Ashfaq Ahmed R

Assistant prof.
Date Of Join: 13-09-2023
Experience : 25
Mrs. Nayana D V

Mrs.Veena A C

Assistant prof.
Date Of Join: 04-03-2024
Experience : 2.9

Non Teaching

Mrs. Nayana.L

Office Assistant

2.5 Year’s

Ms. Navya Shree K V

Instructor

1 Year

Ms. Shreyanka N Murthy

Instructor

2 Year’s

Mr.Yogesha A G

Attender

5 Year’s

Mr. Bharath B S

Instructor

14 Years

mens

Mr. Bharath B S

Instructor
Date Of Join: 29-06-2015
Experience: 14 years
ITI
mens

Mr.Yogesha A G

Attender
Date Of Join: 21-02-2022
Experience: 5 years
II PUC
ladies

Ms. Shreyanka N Murthy

Instructor
Date Of Join:16-12-2022
Experience: 2 years
Diploma

Ms. Navya Shree K V

Instructor
Date Of Join: 17-01-2024
Experience: 1 years
B.E
ladies

Mrs. Nayana.L

Office Assistant
Date Of Join: 01-03-2023
Experience: 2.5 years
M.Com
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

Coming Soon

Awards

Coming Soon

Academic Result

Coming Soon

Media Coverage

Coming Soon

RESEARCH AT THE DEPARTMENT OF AI & ML

Research Areas

The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Don Bosco Institute of Technology (DBIT), Bangalore, was established in 2020. It began with an intake of 60 students and expanded to 120 students by 2021. DBIT is permanently affiliated with Visvesvaraya Technical University (VTU) in Belagavi, Karnataka, ensuring high academic standards and industry relevance.

The department offers a cutting-edge curriculum in AI and ML, preparing students for the dynamic tech industry. It emphasizes a robust understanding of core concepts and practical skills, focusing on areas such as the Internet of Things (IoT), Data Science, Big Data Analytics, and Mobile Application Development, among others. Students engage in diverse research areas and real-world applications, fostering innovation and critical problem-solving.

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.

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

The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Don Bosco Institute of Technology (DBIT), Bangalore, was established in 2020. It began with an intake of 60 students and expanded to 120 students by 2021. DBIT is permanently affiliated with Visvesvaraya Technical University (VTU) in Belagavi, Karnataka, ensuring high academic standards and industry relevance.

The department offers a cutting-edge curriculum in AI and ML, preparing students for the dynamic tech industry. It emphasizes a robust understanding of core concepts and practical skills, focusing on areas such as the Internet of Things (IoT), Data Science, Big Data Analytics, and Mobile Application Development, among others. Students engage in diverse research areas and real-world applications, fostering innovation and critical problem-solving.

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.

Projects

Coming Soon

RESEARCH AT THE DEPARTMENT OF ECE

Research Areas

The faculty is actively involved in several multi-faceted research and consulting activities with high relevance to industry and society. The department has been at the forefront in areas such as Innovations in IC Design and Manufacture/Wireless and Wired Communication Systems/Signal Processing/Nano Technology. To facilitate research relevant to the present context, the department encourages the active involvement of faculty and students in collaborative programmes both at the national and international levels.

Very-Large-Scale Integration (VLSI)

The faculty is actively involved in several multi-faceted research and consulting activities with high relevance to industry and society. The department has been at the forefront in areas such as Innovations in IC Design and Manufacture/Wireless and Wired Communication Systems/Signal Processing/Nano Technology. To facilitate research relevant to the present context, the department encourages the active involvement of faculty and students in collaborative programmes both at the national and international levels.

Digital Signal Processing

The faculty is actively involved in several multi-faceted research and consulting activities with high relevance to industry and society. The department has been at the forefront in areas such as Innovations in IC Design and Manufacture/Wireless and Wired Communication Systems/Signal Processing/Nano Technology. To facilitate research relevant to the present context, the department encourages the active involvement of faculty and students in collaborative programmes both at the national and international levels.

Communication Network

A communication network is a set of individuals (or nodes) connected by communicative interaction. For example, an organizational communication network could consist of those seeking advice from others within the organization, and those giving advice. The abundant scope is available for improvements in Communication Networks for analysis using the theories, techniques, procedures, and applications, especially in Social Networking.

Powerline Communication

Power Line Communication (PLC) is a communication technology that enables sending data over existing power cables. This means that with just power cables running to an electronic device (for example a Modem) one can both power it up and at the same time control/retrieve data from it in a half-duplex manner. PLC is like any other communication technology whereby a sender modulates the data to be sent, injects it onto the medium, and the receiver demodulates the data to read it. At present PLC is widely used in the Smart Grid and micro-inverters. Possible future applications are Traffic Light Control, Water Flow Control in Irrigation, Vending Machines, Telemetry, Smart Vehicles in Transportation only limited by one’s creativity.

Sl. No Name of Faculty Designation Teaching Experience Research Experience Industrial Experience Total Experience
1 Dr. Rengaprabhu P. Professor and Head 19 5 0 19
2 Dr. Nataraj K.R. Professor, Dean & Director-R&D 25 15 ~ 25
3 Dr. Lalitha Y.S. Professor 23 11 0 23
Sl. No Name of Faculty Status Research Center
1 Mr. Amol Subhash Dange Registered DBIT, Bengaluru-VTU
2 Mr. Sreedhar Burada Registered DBIT, Bengaluru-VTU
3 Mr. B Sangamithra Registered DBIT, Bengaluru-VTU
4 Ms. Asha K. H. Course work Completed DBIT, Bengaluru-VTU
5 Mr. Manjunath T. K. Comprehensive Viva Conducted DBIT, Bengaluru-VTU
Sl. No Name of Faculty Status Research Center
1 Mr. Naveen N. Registered RVCE, Bengaluru-VTU
2 Ms. Yashaswini B. M. Registered RVCE, Bengaluru-VTU
3 Ms. Vinaka Deepak Halbhavi Registered RVCE, Bengaluru-VTU
4 Ms. Sumathi M. Registered RVCE, Bengaluru-VTU
5 Ms. Shilpa S. G. Registered GSSSIT, Mysuru-VTU
6 Ms. Rohini B. R. Course Work Completed BMSIT, Bengaluru-VTU
7 Ms. Shruthi G. Course Work Completed SIT, Tumakuru-VTU
8 Mr. Ranjeet Kumar Course Work Completed VTURRC, Belagavi-VTU
9 Ms. Kusuma T. Comprehensive Viva Conducted GAT, Bengaluru-VTU
10 Mr. Santhosh Kumar G. Completed Comprehensive Viva AMCEC, Bengaluru-VTU

Research Initiative

The Department of Electronics and Communication Engineering, established in 2001, currently admits 180 students with a staff-to-student ratio of 1:16. The faculty, with an average of 15 years of experience, includes 6 Professors, 10 Associate Professors, 22 Assistant Professors, and 16 Technical Staff, all dedicated to fostering academic and research excellence. The department boasts well-equipped laboratories, a departmental library, and robust internet facilities. Students benefit from industrial training, live projects, and enhanced employability opportunities.

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

Date Faculty Name Event Amount Organised By
13-03-15 Prof. Ravindranath K SPP Programme INR 5000 KSCST
03-05-16 Prof. Shashi Ranjan VGST INR 40000 VGST
02-08-18 Prof. Shashi Ranjan VTU Financial Assistance Programme INR 5000 VTU
02-08-18 Prof. Rashmi S B VTU Financial Assistance Programme INR 5000 VTU
28-03-18 Prof. Rashmi S B SPP Programme INR 6000 KSCST
11-03-20 Prof. Santhosh Nejakar SPP Programme INR 5000 KSCST
27-01-20 Dr. Rengaprabhu and Prof. Santhosh Nejkar FDP INR 2,80,000 VTU TEQIP 1.3 Sponsored
15-09-18 Dr Nataraj K R IoT and Traffic management R&D set up INR 1,00,73,000 KCTU
03-09-18 Dr Nataraj K R TBI set up for IoT and Traffic management INR 1,93,09,000 KCTU
15-11-21 Dr Rajshekar Patil Machine learning Lab INR 30,00,000 VGST
10-08-21 Dr Nataraj K R Margadarshak INR 50,00,000 AICTE
May/June 2021 Santhosh Nejakar, Sangam Kumar 44th SPP Programme INR 22,000 KSCST
May/June 2022 Dr Bhagya P, Tejasvini M L, Dr Rajshekar Patil 45th SPP Programme INR 34,000 KSCST
12-08-19 Dr Nataraj K R FDP INR 2,50,000 EDII

Research Projects and Funding

Sl. No.NameResearch Project Topic
1Mr Senthil Kumar R MModified Rounding Based Unsigned and Signed Multiplier with Low Power and Area for Digital Image Processing Applications Using CAD Tools
2Mr Kumaravel RDesign and Implementation of High Speed Low Power VLSI Architecture for Inexact Speculative Adder Using CAD Tools
3Mrs. Rekha SA novel design for power and area optimization in sequential circuit memory element using multibit flip flop
4Mr. R ShivajiPara reduction in OFDM system by combining PTS with DCT transforms
5Mrs. Sharmila NDesign of an efficient power monitoring scheme for a renewable energy based microgrid in islanded mode operation
6Mrs. Sheela SAn efficient approach for traffic congestion and management using IOT devices and its implementation on FPGA
7Mrs. Mamatha M PandithEnhancing the lifetime of data communication network using geographical routing algorithms
8Mr. Anandkumar PatilClassification of Crops using Color Texture Shape Features Identification of Diseases
9Mr. Virupaksha ReddyMorphological Based Image Fusion for MRI Images
10Mrs. Pooja HonnatagiFusion Strategy based on Underwater Image Enhancement

Publication

  • Rekha Sathya Narayana, “An Efficient Low-Power Reconfigurable Model For CMOS-Based SRAM Using FPGA”, International Journal of Intelligent Systems And Applications In Engineering, 2024. Link
  • Rekha Sathya Narayana, “An Efficient Unused Integrated Circuits Detection Algorithm for Parallel Scan Architecture”, International Journal of Electrical and Computer Engineering (IJECE)-2024, 14, pp, 2024. DOI: 10.11591/ijece.v14i1.pp469-478
  • Rakshitha C M, Nataraj K R, Nirmala Hiremani, Rekha K R, “A Review on Fundamental Principles of Quantum Cryptography”. 3rd International Conference on Innovative Research and Development, Thailand, Taylor & Francis, 2024 (Scopus-indexed).
  • Rakshitha C M, Nirmala Hiremani, Nataraj K R, “A Novel Smart Contract Based Blockchain with Sidechain and Robust Access Control for E-Voting Against Fraudulent Activities”, International Journal of Electrical and Computer Engineering (IJECE), 2024. Link (Scopus-indexed)
  • Sanjay Kumar, C.S. Pillai, “An Analysis of Light Weight Symmetric Encryption Algorithms for Secure Data Transmission in IoT”, International Conference on Intelligent Algorithms for Computational Intelligence Systems 2024 (IACIS), IEEE Xplore.
  • Dr. Emmanvel Raj M Chirchi, “Pattern matching for the iris biometric recognition system using KNN and fuzzy logic classifier techniques”, International Journal, 21 March 2024.
  • Dr. Emmanvel Raj M Chirchi, “Optical Sensor for Water Bacteria Detection using Machine Learning”, International Conference, 28 Feb 2024.
  • Dr. Chethan Chandra S Basavaraddi, “Dynamic Patient Triage Optimization in Healthcare Settings Using RNNs for Decision Support”, The 10th International Conference on Smart Computing and Communication (ICSCC 2024) IEEE, 25 – 27 July 2024, Bali, Indonesia. 979-8-3503-6310-4/24/$31.00 ©2024 IEEE.
  • Dr. Chethan Chandra S Basavaraddi, “Cloud-based Data Analytics for Automated Coastal Cleanup Robots with Convolutional Neural Network”, 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), IEEE.
  • Anasuya N Jadagerimath; Mallikarjunaswamy S, Mahesh Kumar D; Sheela S; Prakash S, “A Machine Learning based Consumer Power Management System using Smart Grid”, Link, Nov 2023
  • Rakshitha C M, Nirmala Hiremani, Nataraj K R, “Hybrid Secure Algorithms and Optimal Blockchain to Ensure E-Voting Data Immutability at Cloud”, International Journal of Intelligent Systems And Applications In Engineering, 11(3), 721-730, 2023. Link (Scopus-indexed)
  • M.N. Birje, R.H. Goudar, Rakshitha C M, Manisha Tapale, “Blockchain Technology Review: Consensus Mechanisms and Applications”, International Journal of Engineering Trends and Technology, 71, 27-39, 2023, DOI: 10.14445/22315381/IJETT-V71I5P204 (Scopus-indexed)
  • Dr. Chethan Chandra S Basavaraddi, “A Project Work on Efficient and Intelligent Decision Making for Eco-Fertilization”, International Advanced Research Journal in Science, Engineering and Technology, Vol. 10, Issue 5, May 2023, DOI: 10.17148/IARJSET.2023.10559, ISSN (O) 2393-8021
  • Dr. Chethan Chandra S Basavaraddi, “Leveraging Machine Learning Techniques for Improving Heart Disease Prediction Systems Using Feature Selection”, International Journal of Intelligent Systems and Applications in Engineering, 2023, 11(8s), 560–567.
  • Dr. Chethan Chandra S Basavaraddi, “Multilayer Perceptron for Brain Image Classification using Stationary Wavelets”, Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS 2023), 23-25 August 2023, IEEE Explore Compliant ISBN: 979-8-3503-2579-9, Link
  • Dr. Chethan Chandra S Basavaraddi, “Optimizing Water Distribution Pump Scheduling with SVM-Based Machine Learning Using IoT Sensor Data”, International Conference on Smart Technologies for Smart Nation (Smart Tech Con 2023 IEEE Singapore Section), 18-19 August 2023, Link
  • Dr. Chethan Chandra S Basavaraddi, “Smart Personal Protective Equipment in Ambulance Services with IoT Integration for Safety”, International Conference on Smart Technologies for Smart Nation (Smart Tech Con 2023 IEEE Singapore Section), 18-19 August 2023, Link
  • Dr. Chethan Chandra S Basavaraddi, “Enhancing Air Travel with IoT: Smart Airports and Passenger Experience”, Proceedings of the Seventh International Conference on Electronics, Communication, and Aerospace Technology (ICECA 2023) IEEE Xplore, ISBN: 979-8-3503-4060-0.
  • Dr. Chethan Chandra S Basavaraddi, “Classifying Social Media Comments Using Machine Learning”, International Journal of Advanced Research in Computer and Communication Engineering, Impact Factor 7.918, Vol. 12, Issue 1, January 2023, DOI: 10.17148/IJARCCE.2023.12113
  • Dr. Chethan Chandra S Basavaraddi, “A Project Work on Water Refilling Management System”, International Journal of Advanced Research in Computer and Communication Engineering, Impact Factor 7.918, Vol. 12, Issue 1, January 2023, DOI: 10.17148/IJARCCE.2023.12134
  • Dr. Chethan Chandra S Basavaraddi, “Telemedicine and E-Health Advantages with Reference to Prediction of Cardiac Disease in Humans”, International Conference on Advances in Engineering and Technology: ICAET2023, GEC K R Pet, 12th-13th April 2023.
  • Dr. Chethan Chandra S Basavaraddi, “Efficient and Secure Apartment Visitor Management System”, International Conference on Advances in Engineering and Technology: ICAET2023, GEC K R Pet, 12th-13th April 2023.
  • B. Kursheed, “CHIROPLAY”, International Journal of Creative Research Thoughts (IJCRT), Unique Identification Number – IJCRT2312866, Paper ID – 248779, Volume 11, Issue 12, December 2023, DOI: 10.1729/Journal.37773
  • B. Kursheed, “Reinventing Construction Services With Machine Learning and Intelligent Recommendations”, International Journal of Creative Research Thoughts (IJCRT), Unique Identification Number – IJCRT2312884, Paper ID – 248760, Volume 11, Issue 12, December 2023, DOI: 10.1729/Journal.37774
  • B. Kursheed, “Novel Evaluation Framework for Sensing Spread Spectrum in Cognitive Radio”, International Journal of Electrical and Computer Engineering (IJECE), Scopus-indexed journal, Q2, Aug 2023, DOI: 10.11591/ijece.v13i6.pp6501-6512
  • Dr. Anasuya N Jadagerimath, “IoT Integration with Blockchain to enhance the security and privacy challenges and Recommendations” in 3rd International Conference on Recent Innovative Trends in Computer Science and Applications ICRITSA-2022, held on 6-7 May 2022 at M.S.R.I.T Bangalore.
  • Dr. Anasuya N Jadagerimath, “Enabling Security in Cloud Computing using Protection Rings”, International Journal 2022 IJNRD | Volume 7, Issue 4 April 2022 | ISSN:2456-4184 | Link
  • Dr. Anasuya N Jadagerimath, “A Study on Security Challenges in Machine Learning”, International Journal of Research in Engineering and Science (IJRES), ISSN (Online): 2320-9364, ISSN (Print): 2320-9356, Volume 10, Issue 4, Series 9, 2022, PP. 41-44, Link
  • Dr. Anasuya N Jadagerimath, “Evaluation of a Dynamic Resource Allocation Method based on the Load of VMs on IaaS”, International Journal of Research in Engineering and Science (IJRES), ISSN (Online): 2320-9364, ISSN (Print): 2320-9356, Volume 10, Issue 4, Series 8, 2022, PP. 65-70, Link
  • Dr. Anasuya N Jadagerimath, “Assistive Communication System for Physically Challenged People” in IJCRT, ISSN 2320-2882, Vol:10, Issue 2, Pages: d878-d884, Feb 2022, Link
  • Dr. Anasuya N Jadagerimath, “Energy Efficient Machine Learning Algorithm for Virtualized Sensor Cloud Infrastructure”, International Conference on Multidisciplinary Technologies and Challenges in Industry 4.0 Proceedings, ISBN 978-81-947738-3-2, Vol 1, Pages 362-379, Sep 2020.
  • M.N. Birje, R.H. Goudar, Rakshitha C M, Manisha Tapale, “A Review on Layered Architecture and Application domains on Blockchain Technology”, IEEE 2nd International Conference on Electrical, Computer, and Energy Technologies (ICECET) 2022, DOI: 10.1109/ICECET55527.2022.9872729 (Scopus-indexed)
  • Manu K.S., “FPGA Implementation of Object Detection in Background Modelling Using Gaussian Mixture Model”, International Journal of Trendy Research in Engineering and Technology, Volume 6, Issue 2, April 2022, ISSN: 2582-0958.
  • Manu K.S., “FPGA Implementation of Shadow Detection in Background Modelling Using Gaussian Mixture Model”, International Research Journal of Modernization in Engineering Technology and Science, Volume 4, Issue 04, April 2022, e-ISSN: 2582-5208.
  • Dr. Chethan Chandra S Basavaraddi, “Prediction of Cardiac Disease Using Machine Learning”, International Journal of Advanced Research in Computer and Communication Engineering, ISO 3297:2007 Certified, Impact Factor 7.39, Vol. 11, Issue 9, September 2022, DOI: 10.17148/IJARCCE.2022.11915.
  • Dr. Chethan Chandra S Basavaraddi, “E-Health and Telemedicine in Today’s World”, International Journal of Advanced Research in Computer and Communication Engineering, Impact Factor 7.39, Vol. 11, Issue 5, May 2022, DOI: 10.17148/IJARCCE.2022.11521, ISSN (O) 2278-1021, ISSN (P) 2319-5940.
  • Dr. Chethan Chandra S Basavaraddi, “E-Health Web Application Framework and Platform Based on Cloud Technology”, International Journal of Advanced Research in Computer and Communication Engineering, ISO 3297:2007 Certified, Impact Factor 7.918, Vol. 11, Issue 10, October 2022, DOI: 10.17148/IJARCCE.2022.111003.
  • J. Anasuya, P.K. Shravani, and C. Lavanya, “Prediction and Solution for Crop Disorder Using Machine Learning and Image Processing Techniques for Agricultural Domain”, Proceedings of the International Conference on Cognitive and Intelligent Computing (ICCIC) 2021, pp 381-398, DOI: 10.1007/978-981-19-2350-0_38, Print ISBN: 978-981-19-2349-4, 978-981-19-2350-0.
  • N. J. Anasuya, B. N. Yashasvi, Shubam S. Uttarkar, and T. R. Supreeth, “COVID-19 Warning System”, Proceedings of the International Conference on Cognitive and Intelligent Computing (ICCIC) 2021, pp 305-311, DOI: 10.1007/978-981-19-2350-0_30, Print ISBN: 978-981-19-2349-4, Online ISBN: 978-981-19-2350-0.
  • N. J. Anasuya, B. N. Yashasvi, P. Puneeth Kumar, and B. S. Medha, “Classification of Flower Species Using Machine Learning Algorithm”, Proceedings of the International Conference on Cognitive and Intelligent Computing (ICCIC) 2021, pp 699-706, DOI: 10.1007/978-981-19-2350-0_66.
  • S. Rekha, K. R. Nataraj, K. R. Rekha, “Comprehensive Review of Optimal Utilization of Clock and Power Resources in Multi-Bit Flip-Flop Techniques”, Indian Journal of Science and Technology, Vol. 14 (44), pp. 3270-3279, 2021, DOI: 10.17485/IJST/v14i44.1790.
  • Dr. Chethan Chandra S Basavaraddi, “Implementation of Client-Side Deduplication of Encrypted Data with Public Auditing in Cloud Storage”, IJNIET, ISSN: 2319-6319, UGC Approved Journal-47645, Impact Factor – 4.012.
  • Dr. Chethan Chandra S Basavaraddi, “Applying Artificial Intelligence to Studies on Water Quality and Phytoplankton Diversity of Eachnur Tank, Tiptur, Tumkur District, Karnataka, India”, International Journal of New Innovations in Engineering and Technology, Volume 17, Issue 3, August 2021, ISSN: 2319-6319.
  • Dr. Chethan Chandra S Basavaraddi, “Using Machine Learning Techniques Studies on Water Quality Index and Phytoplankton Diversity of Tiptur Lake, Tiptur, Tumkur District, Karnataka, India”, Volume 10, Issue 9, September 2021, DOI: 10.17148/IJARCCE.2021.10902, ISSN (Online) 2278-1021, ISSN (Print) 2319-5940.
  • P. Puneeth Kumar, Anoopkumar Kulkarni, and Y. V. Sanjay, “Automated Image Captioning Using Machine Learning”, Proceedings of the International Conference on Cognitive and Intelligent Computing (ICCIC) 2021, Volume 1, pp. 331-344, DOI: 10.1007/978-981-19-2350-0.
  • P. Puneeth Kumar, R. C. Kishen, and M. Ravikumar, “Traffic Sign Detection and Recognition Using Deep Learning”, Proceedings of the International Conference on Cognitive and Intelligent Computing (ICCIC) 2021, Volume 1, pp. 345-354, DOI: 10.1007/978-981-19-2350-0.
  • N. J. Anasuya, B. N. Yashasvi, P. Puneeth Kumar, and B. S. Medha, “Classification of Flower Species Using Machine Learning Algorithm”, Proceedings of the International Conference on Cognitive and Intelligent Computing (ICCIC) 2021, Volume 1, pp. 699-706, DOI: 10.1007/978-981-19-2350-0.
  • B. Kursheed, “SURVEY: 5G Wireless Communication Using Cognitive Radio”, e-ISSN: 0976-5166, DOI: 10.21817/indjcse/2020/v11i5/201105231, Vol. 11 No.5 Sep-Oct 2020, Indian Journal of Computer Science and Engineering, Bangalore.

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

Conference / Seminars

Workshops / FDP

Guest Lectures / Tech Talks / Interaction

Industry Visit

Events

FACULTY DEVELOPMENT PROGRAMME

February 19, 2025

9:00 am

View Details
FDP on Generative AI(BAIL657C) and Human Centered AI(BAI613A)

February 19, 2025

9:00 am

View Details
Bridge Course on Programming Skills development for carrier growth

September 10, 2024

2:00 pm

View Details

Internship

Newsletter

Calender

Time table

Syllabus

2022 Sheme

1st Semester
Sl. No Course Code Course Title Scheme/Syllabus
1 BMATS101 Mathematics-I For Computer Science And Engineering Stream View/Download
2 BCHES102 Applied Chemistry For Computer Science & Engineering Stream View/Download
3 BCEDK103 Computer Aided Engineering Drawing View/Download
4 BCEDK106 Communicative English View/Download
5 BSFHK158 Scientific Foundations Of Health View/Download
6 BPLCK105B Introduction To Python Programming View/Download
7 BESCK204A Introduction To Civil Engineering View/Download
2nd Semester
Sl. No Course Code Course Title Scheme/Syllabus
1 BMATS201 Mathematics-II For Computer Science And Engineering Stream View/Download
2 BPHYS202 Applied Physics For CSE Stream View/Download
3 BPOPS203 Principles Of Programming Using C View/Download
4 BPWSK206 Professional Writing Skills In English View/Download
5 BICOK207 Indian Constitution View/Download
6 BIDTK258 Innovation And Design Thinking View/Download
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 ESC/ETC/PLC – Object Oriented Programming With Java View/Download
7 BSCK307 Social Connect & Responsibility View/Download
8 BCS358A Ability Enhancement Course – III Data Analytics With Excel View/Download
9 BYOK359 Yoga 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 BCS405A ESC/ETC/PLC – Discrete Mathematical Structures View/Download
6 BBOC407 Biology For Computer Engineers View/Download
7 BUHK408 Universal Human Values (UHV) View/Download
8 BYOK459 Yoga View/Download
9 BDSL456C Ability Enhancement Course / Skill Enhancement Course – IV M.E.R.N 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 BAI515B Professional Elective Course – Information Retrieval View/Download
6 BCS508 Environmental Studies And E-Waste Management View/Download
7 BRMK557 Research Methodology & IPR View/Download
8 BYOK559 Yoga View/Download
9 BCI586 Mini Project View/Download

Teachers Notes(All Semester)

Category Department Download Links
Teachers Notes (All Semesters) Science and Humanities (S & H) 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

Section Class Teacher Email ID Phone Number
III Mr. Punneth Kumar parthapuneeth@dbit.co.in 7019214151
0 LPA

Highest Package

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Campus Recruiters

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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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