CS – DATA SCIENCE

CS-Data Science

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.

SCHEME & SYLLABUS

PROGRAMME DETAILS

Course Name:B.E in CS-DS ( 4 Years )
Level:UG (Intake: 60)
Professional Activities :Student chapters, Seminars, Workshops,Colloquium,Value Added Courses and STTPs are conducted regularly

Career Options :

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

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 information to support and improve decision.

DEPARTMENT

CSE (DATA SCIENCE)

HoD’s MESSAGE

Dr Syed Naimatullah Hussain

Head of the Department
CSE (Data Science)

“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.

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.
  • Data Science Lab
  • Python Programming Lab
  • 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.

ACTIVITIES

NEWSLETTER

EVENTS ORGANISED

GUEST LECTURE / INVITED TALKS

INDUSTRIAL VISITS

RESEARCH AND DEVELOPMENT

PATENTS

SL.NO. Title Of the Patent
1. NOVEL SYSTEM AND METHOD OF AGE DETECTION BASED ON FACIAL IMAGE USING FUSION EXTREME LEARNING MACHINE CLASSIFIER, Application No.202241024411 A, The Patent Office Journal No. 19/2022 Dated 13/05/2022,
2. CLINICAL INVESTIGATION OF SENSING AILMENTS IN BRAIN MOVEMENT THROUGH PHYSIOLOGICAL ACTIVITY USING ML TECHNIQUE, Indian Patent filed on 21/06/2022 (Application number- 202241035410), Published on 24/06/2022.
3. INSTANCE BASED TRANSFER LEARNING SYSTEM FOR MULTI VISUAL AND LANGUAGECATEGORIZATION, Indian Patent filed on 14/06/2022(Application Number: 202211034122), Published on 24/06/2022.
4. SECURE OVER DATA PRIVACY USING KNN CLASSIFICATION IN IOT DEVICES IN MACHINE LEARNING APPROACH, Indian Patent filed on 05/07/2022 (Application Number: 202241038492), Published on 15/07/2022.
5. AN INTERNET OF THINGS BASED COVID SPREAD PREVENTION SYSTEM AND ITS METHOD THEREOF, Indian Patent filed (Application Number: 2021105264).
6. AN INTELLIGENT ANTITHEFT DEVICE FOR ELECTRICAL VEHICLE, Indian Patent filed (Application Number: 352805-001).
7. AI, ML BASED TRAFFIC INFORMATION DETECTION AND REAL TIME POTHOLE DETECTION SYSTEM, Indian Patent filed (Application Number: 20224100198).

Papers Published

Md. Farhad Hossain, Md. Ariful Islam, Syed Naimatullah Hussain, Debprosad Das, Ruhul Amin “Brain Tumor Classification from MRI Images Using Convolutional Neural Network” 2021 IEEE International Conference.

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.

BOARD OF STUDIES

Sr.No. Members Designation Designation on Board
1 Dr. Syed Naimatullah Hussain Professor & Head (CSE-DATA SCIENCE), NCET Chairman
2 Dr. Anil Kannur Professor & Head (ISE), NCET Member (ISE)
3 Mr Subhakar M Assistant Professor (CSE-DS), NCET MEMBER (CSE DS)
4 Ms Pooja Ahuja Assistant Professor (CSE-DS), NCET MEMBER (CSE DS)
5 Ms Priyanka Assistant Professor (CSE-DS), NCET MEMBER (CSE DS)
6 Ms Chandini Assistant Professor (CSE-DS), NCET MEMBER (CSE DS)
7 Mr Anil Pawar Assistant Professor (CSE-DS), NCET MEMBER (CSE DS)
8 Dr. Sridhar Domanal Researcher & Solution Engineer, Accenture Bengaluru Member
9 Dr. Nalini N Professor, Dept. of CSE, Nominated by VTU Member
10 Mrs. Sandhya L Alumini, NCET Member
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ABOUT
APPROVALS & DISCLOSURES
COLLEGE ADDRESS
  • 080-67462700
  • info@ncetmail.com
  • 080-67462700
  • Mudugurki, Venkatagiri Kote Post, Devanahalli, Bengaluru- 562164.

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