HoD’s Message
About Course
Programme Details
Faculty
Facilities
Activities
R&D
Vision & Mission
PEOs, POs & PSOs
Board Of Studies

DEPARTMENT

DATA SCIENCE AND ENGINEERING

HoD’s MESSAGE
Dr Sundeep Kumar K
Head of The Department
Data Science & Engineering

“Welcome to the Department of Computer Science and Engineering - Data Science at Nagarjuna College of Engineering and Technology, Bangalore. Data Science will revolutionize every industry in the near future. India has the opportunity to be the talent provider to the world for data science. Spurring data science-based innovation and establishing data science-ready infrastructure will be critical for preparing India's jobs and skills markets for a data science-based future. The department has a team of highly experienced and motivated faculty members who are in process of tuning the young minds to make them globally competitive. Data Science is an interdisciplinary course which combines wide areas of statistics, analytics, visualization of data and Knowledge Extraction. In today’s technical world where data is growing exponentially, data science ensures that the huge incoming data is properly handled, efficiently analyzed and extracts useful knowledge for business development. In our department, we not only give emphasis on study but also make students ready for industry with practical exposure in Data Science. Through innovative teaching-learning process, a teamwork approach and leadership building experience, our students gain vital communication and critical-thinking skills. Our institution provides a platform for the students to enhance their Employability skills through Industry Institute Collaboration.

COURSE

Data Science is an interdisciplinary course which combines wide areas of statistics, analytics, visualization of data and Knowledge Extraction. In today’s technical world where data is growing exponentially, data science ensures that the huge incoming data is properly handled, efficiently analysed and extracts useful knowledge for business development. In our department, we not only give emphasis on study but also make students ready for industry with practical exposure in Data Science.

Data Science will revolutionize every industry in the near future. India has the opportunity to be the talent provider to the world for data science. Spurring data science- based innovation and establishing data science-ready infrastructure will be critical for preparing India's jobs and skills markets for a data science-based future. The department has a team of highly experienced and motivated faculty members who are in process of tuning the young minds to make them globally competitive.

Those who practice data science are called data scientists, and they combine a range of skills to analyse data collected from the web, smartphones, customers, sensors, and other sources to derive actionable insights.

Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Analytic applications and data scientists can then review the results to uncover patterns and enable business leaders to draw informed insights.

PROGRAMME DETAILS

Course Name: B.E in CS-DS ( 4 Years )
Level: UG (Intake: 60)
Professional Activities : Student chapter Seminars, workshops and FDPs are conducted regularly

Career Options :

1. Video Game Programmer
2. Robotics Programmer
3. Machine Learning Researcher
4. Data Mining Analyst
5. Software Engineer
6. Research & Development Engineer
7. Algorithm specialists
8. Systems Architect
9. Development Director

Vision & Mission

VISION

To prepare the next generation practitioners and researcher for data centric world by bringing together interdisciplinary faculty across the globe

OUR MISSION

We integrate research into practical, relevant solution to address business and societal challenges. We address the analytical and data centric needs of a modern workforce. We serve the broader community in the translation of data into

PEOs POs AND PSOs

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

PEO1: Graduates in Data Science & Engineering can apply the technical knowledge of design and analysis for sustainable societal growth.
PEO2:Graduates of Data Science & Engineering can demonstrate excellence in research and innovations for the industrial needs.
PEO3:Graduates in Data Science & Engineering can demonstrate good communication skills, dynamic leadership qualities for environmental protection.
PEO4: Data Science & Engineering graduates can be pursuing higher studies, taking research blended with ethics and human values.
PEO5: Data Science & Engineering graduates will be entrepreneurs there by switching over from responsive engineering to creative engineering.

PROGRAM OUTCOMES (POs)

PO-1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and electronics communication principles to the solution of complex problems in Data Science & Engineering.
PO-2: Problem Analysis: Identify, formulate, research literature, and analyze complex electronics communication and engineering problems reaching substantiated conclusions using first principles of mathematics and engineering sciences.
PO-3: Design/Development of Solutions: Design solutions for complex Electronics Communication and 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.
PO-4: Conduct Investigations of Complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions related to Electronics Communication and Engineering problems.
PO-5: Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex Electronics Communication and Engineering activities with an understanding of the limitations.
PO-6: The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional Electronics Communication and Engineering practice.
PO-7: Environment and Sustainability: Understand the impact of the professional Data Science & Engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO-8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the Data Science & Engineering practice.
PO-9: Individual and Team work:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO-10: Communication: Communicate effectively on complex Electronics Communication Engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO-11:Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage Data Science & Engineering projects and in multidisciplinary environments
PO-12: Life Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PROGRAM SPECIFIC OUTCOME (PSOs)

PSO-1:Professional Skills: The ability to understand, analyze and develop computer programs in the areas related to system software, multimedia, web design, big data analytics, and networking for efficient design of computer-based systems of varying complexity.
PSO-2:Problem - Solving Skills: The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success.
PSO-3:Mathematical concepts: Ability to apply mathematical concepts to solve real world problems using appropriate data structure and suitable algorithms.

FACILITIES

The institution has always kept its target of providing Student-to-computer ratio of 1:1 during their laboratory exercises.
The Department is well equipped with the latest computers with modern multimedia features and Licensed software. Computer Labs have been loaded with Microsoft Windows 10 and Ubuntu Operating System. All the labs are connected with 100MBPS high-speed internet service. The lab is used to train the students to improve their programming knowledge and make experiments to get familiar with the Core Courses. This lab helps placement cell to conduct online test and Placement training for students during placement drive.

LIST OF LABORATORIES

  • Computer Programming Laboratory.
  • Sci Laboratory.
  • Design of Dynamic Web Pages Laboratory.
  • Data Structures Laboratory.
  • Analog and Digital Electronics Laboratory.
  • Unix and shell programming Laboratory.
  • R Laboratory.
  • Design and analysis of algorithms Laboratory.
  • Object Oriented and Programming with java Laboratory.
  • Operating System Laboratory.
  • Microcontroller Laboratory.
  • Network Programming Laboratory.
  • Database Management System Laboratory.
  • Android Laboratory.
  • Unix system programming Laboratory.
  • Image Processing Laboratory.
  • Internet of Things Laboratory.
  • Big Data Laboratory.
  • ALUMNI

    About NCET Alumni Association

    One of the assessments for the quality of an institution is the success of its alumni. Active alumni also mean that the institution is developing strong roots in society. It’s a platform where successful alumni from all walks of life meet each other and express openly their thanks and gratitude for the opportunities provided to them by the alma mater.

    The seeds for the transformation are sown during the students’ stay at NCET. In carrying out job and civic responsibilities, alumni draw on what they learned in earning a college degree. They demonstrate for all to see what value their education has for them and they truly represent the institution in different walks of their life.

    The NCET Alumni association can make a vital contribution by supporting the Institute in the accomplishment of its mission. They can contribute as goodwill ambassadors, student recruiters, and a pool of expertise in a broad range of fields which can be employed in Institute initiatives, both academic and administrative. The NCET Alumni Association is an excellent forum to keep in touch with your alma mater, learn how your institution is achieving its strategic intent, and above all reinforce the relationship you formed during your stay at college while forming new ones.

    Objectives of the Alumni Association:

    1.To arrange expert lectures by eminent alumni & other prominent industrialists for the benefit of students.

    2.To conduct Alumni-Students Knowledge Exchange Programs.

    3.To bring together the ex-students of NCET and to promote fellowship amongst them and their families.

    4.To serve as a forum to promote and foster relationship among the alumni, the present students, the staff and the management of NCET.

    5.To maintain continuous interaction between the past and present students by publishing a newsletter, holding periodical Alumni day celebration or by any other activity as decided by the association.

    6.To effectively participate in revision of syllabi and development of curriculum.

    RESEARCH AND DEVELOPMENT

    PATENTS

    SL.NO. TITLE OF THE PATENT/PATEND PENDING NUMBER/ PATENT APPLICATION NUMBER JURISDICTION /PUBLICATION/INDIAN PATENT JOURNAL/FILLED/PUBLISHED DATE INVENTORS NAME/FACULTY MEMBER/STUDENTS/EMIRITUS/PROFESSORS YEAR OF APPLICATION/GRANT
    1. 202141022954 PUBLISHED DATE 23/05/2021 Dr. Dinesha H A 2021
    2. 2021141023567 PUBLISHED DATE 27/05/2021 Dr. Dinesha H A 2021
    3. 202141034018/td> Journal No.33/2021(13/08/2021) Subramanya S G, Priyanka K. 2021
    4. 202141053443 Journal Number- 50/2021 (10/12/2021) Subramanya S G, Priyanka K, Seema J, Sudhakara Reddy M, Vivek Sharma S 2021
    5. 202121039129 Journal No. 37/2021 Dated 10/09/2021 Mr. Gopinath A R 2021
    6. 202121039132 Journal No. 37/2021 Dated 10/09/2021 Mr. Gopinath A R 2021
    7. 202121005001 Journal No. 07/2021 Dated 12/02/2021 Mr. Gopinath A R 2021
    8. 202141039782A Journal No. 39/2021 Dated 24/09/2021 Dr.Anitha Patil, Vivek sharma S, Seema J 2021
    9. 202121039129 Journal No. 37/2021 Dated 10/09/2021 Mr. Abraham Rajan 2021

    FUNDED PROJECTS

    FACULTY NAME TITLE OF THE PROPOSAL FUNDING AGENCY FUND RECIEVED/S ANCTIONED ACADEMIC YEAR REMARKS
    Mr. Subramanya S G DESIGN & DEVELOPMENT OF AUTOMATED EMISSION MONITORING SYSTEM FOR GENERAL VEHICLES KSCST 6000 2020-21 Completed
    Mr. Shreekanth M S Earthquake bed using iot for human protection KSCST 3500 2018 Completed
    Mr. Shreekanth M S Prevention of accidents caused by potholes and humps using ultrasonic sensors KSCST 3000 2018 Completed
    Dr. Kumarswamy Y S Software Framework For Hosting, Application Programming Interface / Modules For Artificial Intelligence, Heterogeneous Parallel Computing And Device Drivers For Various Scientific Equipment In Ex- Planetary Vehicle To The End/Remote User ISRO RESPOND 1230000 2018 Completed
    Dr. Kumarswamy Y S Software Framework For Hosting, Application Programming Interface / Modules For Artificial Intelligence, Heterogeneous Parallel Computing And Device Drivers For Various Scientific Equipment In Ex- Planetary Vehicle To The End/Remote User ISRO RESPOND 462000 2019 Completed

    PUBLISHED BOOKS

    BOOK CHAPTERS PUBLISHED IN SPRINGER NATURE

    Dr. Nagaraj Naik, and Biju R Mohan (2019), “Stock Price Movements Classification using Machine and Deep Learning Techniques-The Case Study of Indian Stock Market”,Communications in Computer and Information Science (Springer Nature), DOI 10.1007/978-3-030-20257-6_38.
    Dr. Nagaraj Naik, and Biju R Mohan (2019), “Study of Stock Return Predictions using Recurrent Neural Networks with LSTM”, Communications in Computer and Information Science (Springer Nature), DOI 10.1007/978-3-030-20257-6_39.
    Dr. Nagaraj Naik, and Biju R Mohan (2019), “Log Periodic Power Law Fitting on Indian Stock Market”, Communications in Computer and Information Science (Springer Nature), DOI 10.1007/978-981-15-6318-8.4.
    Prof. Subramanya S G, Prof. Priyanka K, Prof. Seema J, “Practical Approach to Learn Computer Networks”, ISBN- 978-93-5593-068-2, December - 2021.
    Prof. Subramanya S G, Prof. Priyanka K, “A Pragmatic Guide to Web Development”, ISBN - 978-93-5593-810-7, December - 2021.

    ACTIVITIES

    EVENTS ORGANISED

    GUEST LECTURE / INVITED TALKS

    INDUSTRIAL VISITS

    BOARD OF STUDIES

    Sr.No. Members Designation Designation on Board
    1 Dr. Dinesha H A Professor & Head (CSE), NCET Chairman (CSE)
    2 Dr. Anil Kannur Professor & Head (ISE), NCET Chairman (ISE)
    3 Dr. Sundeep Kumar K Professor & Head (CSE-DS), NCET Chairman (CSE DS)
    4 Dr. Vijayananda Professor & Head (AIML), NCET Chairman (CSE AIML)
    5 Dr. Syed Naimatullah Hussain Professor, ISE ,NCET Member
    6 Dr. Sandhya G Professor, ISE ,NCET Member
    7 Dr. Deepajothi Associate Professor, CSE ,NCET Member
    8 Mrs. Swathi. S Associate Professor, CSE ,NCET Member
    9 Mr. Gopinath A R Associate Professor, CSE ,NCET Member
    10 Mr. Sudhakara Reddy M Assistant Professor, CSE ,NCET Member
    11 Mr. Subramanya S G Assistant Professor, CSE ,NCET Member
    12 Dr. Nalini N Professor, Dept. of CSE, Nominated by VTU Member
    13 Dr. Sridhar Domana Researcher & Solution Engineer, Accenture Bengaluru Member
    14 Mr. Kishan Alumini, NCET Member