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Overview

Computer Science & Engineering - Data Science

Computer Science and Engineering (Data Science) is an interdisciplinary field that combines computer science, statistics, mathematics, and data analytics to extract meaningful insights from large and complex datasets. The program focuses on developing skills to collect, process, analyze, visualize, and interpret data and use it to support intelligent decision-making.

Aspiration & Purpose 

Vision & Mission

Vision

To become a pioneer department in the field of computer science & engineering with a specialization in the data science domain with a focus to produce professional & socially responsible engineers.

Mission

 

  • ●  To adopt the best practices for outcome-based learning.
  • ● To enable the graduates to use modern tools to design and develop data science-based applications.
  • ●  To ensure the responsible use of data to benefit society
  •  

Head of the Department

HoD's Messege

Mr. Rohit S. Raut

HOD and Associate Professor

Data Science is an exciting and rapidly growing field that has become essential in every industry. From healthcare to finance, from education to entertainment, data science is revolutionizing the way businesses operate and the way we live our lives. At our department, we are committed to providing you with a rigorous and c omprehensive education in data science. Our faculty members are experts in their fields, and they bring a wealth of knowledge and experience to the classroom. You will have access to state-of-the-art technology and tools that will enable you to explore, analyse, and visualize data in innovative ways. We believe that our program will prepare you to become data scientists who can not only make sense of data but also communicate insights effectively to decision-makers. You will learn how to design and implement experiments, develop statistical models, and build predictive models that can help organizations make informed decisions. Our program also offers several opportunities for internships, research projects, and collaborations with industry partners. These experiences will allow you to apply your skills and knowledge to real-world problems and gain valuable experience that will help you stand out in the job market. I encourage you to take advantage of all the opportunities our department has to offer and to be an active participant in your education. I wish you all the best as you embark on this exciting journey of discovery and growth.

Board

Discipline Committee

S.No Name of the Member Designation Role
1 Mr. Rohit S. Raut Associate Professor & Head Convener
2 Mrs. Swati T. Patil Assistant Professor Member (Faculty)
3 Mrs.Supriya S. Laykar Assistant Professor Member (Faculty)
4 Mrs. Komal V. Rokade Assistant Professor Member (Faculty)
5 Mrs. Bhagyashree B. Jadhav Assistant Professor Member (Faculty)
6 Mrs. Aishwarya S. Nagaonkar Assistant Professor Member (Faculty)
7 Ms. Vaishnavi R.Patil Assistant Professor Member (Non-Teaching Faculty)
8 Mr. Vaibhav Asbe Assistant Professor Member (Non-Teaching Faculty)
9 Mr. Ruturaj Patil Assistant Professor Member (Non-Teaching Faculty)

Board

Mentor-Mentee Committee

S.No Name of the Member Designation Role
1 Mr. Rohit S. Raut Associate Professor & Head Chairman
2 Mrs. Swati T. Patil Assistant Professor Convener
3 Mrs.Supriya S. Laykar Assistant Professor Member (Class Teacher)
4 Mrs. Komal V. Rokade Assistant Professor Member (Class Teacher)
5 Mrs. Bhagyashree B. Jadhav Assistant Professor Member (Class Teacher)

Board

Parents-Meet Committee

Sr. No Name Designation Roll
1 Mr. Rohit S. Raut Head Of the Department Chairman
2 Mrs. Aishwarya S. Nagaonkar Assistant Professor Convener
3 Mrs.Supriya S. Laykar Assistant Professor Faculty member
4 Mrs. Bhagyashree B. Jadhav Assistant Professor Faculty member
5 Mrs. Komal V. Rokade Assistant Professor Faculty member
7 Ms. Rohini S. Kore Student Coordinator Member
8 Mr. Mateen Moge Student Coordinator Member

Board

DAB Committee

Committee Members
Committee Members
Sr.
No.
Name of the Member Designation Role
1 Dr. Suresh D. Mane Principal Chairman
2 Dr. A. M. Mane Campus Director Academic Expert
3 Dr. Vijay Ghorpade Professor, Nominee of Faculty Academic Expert
4 Mr. Suyog V. Patil Assistant Professor Academic Expert
5 Mr. Rohit Raut Assistant Professor & Head Convener
6 Ms. Komal V. Rokade Assistant Professor Co-Convener
7 Mrs. Preeti M. Bhosle Training & Placement Officer (TPO) Member (TPO)
8 Dr. Rahul Mirajkar Professor, Nominee of Faculty Academic Expert
9 Dr. Sagar Patil Professor, Nominee of Faculty Academic Expert
10 Dr. Sheetal Borade Professor, Nominee of Faculty Academic Expert
11 Dr. A. S. Patil Professor, Nominee of Faculty Academic Expert
12 Dr. Jawed Wasim Professor, Nominee of Faculty Academic Expert
13 Mr. Tejas Kamble ITC InfoTech, Pune Industrial Expert
14 Mr. Sandip Laykar SKO Systems Private Limited, Pune Industrial Expert
15 Mr. Pratap Patil Founder & CEO at Walstar Technologies Pvt. Ltd. Industrial Expert
16 Mr. Ashok Ghatage Founder of Earth LogicWare Technologies Industrial Expert
17 Ms. Gayatri Yadav Software Engineer, LTIMindtree, Pune Alumni
18 Ms. Madhura Atigre Third Year Student, DS Member (Student)
19 Mr. Om Solonkhe Final Year Student, DS Member (Student)
20 Mr. Mukund A. Salokhe Parent Member (Parent)

Board

Research Committee

Sr. No List of Member Designation Role
1. Mr. Rohit S. Raut Head of the Department President
2. Mrs. Aishwarya S. Nagaonkar Assistant Professor Convener
3. Mrs. Bhagyashree B. Jadhav Assistant Professor Co-Convener
4. Mrs. Komal V. Rokade Assistant Professor Member (Faculty)
5. Mrs.Supriya S. Laykar Assistant Professor Member (Faculty)
6. Mr. Sandip Laykar SKO Systems Private Limited, Pune Industry Expert
7. Mr. Vansh Kirtishahi Student Student Team Leader
8. Mr. Arman Nadaf Student Student
9. Mr. Kabir Walvekar Student Student
10. Miss Pranali Kamble Student Student

Educators 

Teaching Faculty

Mr. Rohit Sarjerao Raut

Designation: HOD and Associate Professor
Qualification: ME CSE, PhD pursuing
Specialization: Machine Learning
Teaching Experience: 12 Years
Date of Joining: 11/2/2017
DYPSN Experience: 8 Years
Email: rohitraut8680@gmail.com

Mr. Suyog Vilas Tate Patil

Designation: Registrar
Qualification: DCE,BE CSE,ME CSE ,(PhD CSE)
Specialization: Cyber security
Experience: 14 Years
Date of Joining: 7/1/2013
DYPSN Experience: 10 Years
Email: registrar.dypsn@gmail.com

Ms. Komal vasant Rokade

Designation: Associate Professor
Qualification: Phd(Pursuing)
Specialization: machine learning,Database Engineering
Teaching Experience: 09 Years
Date of Joining: 4/10/2024
DYPSN Experience: 2 Years
Email: komalrokade17@gmail.com

Mrs. Supriya shrikant laykar

Designation: IQAC Head, Assistant Professor
Qualification: Phd(pursing) )
Specialization: Internet of things and blockchain technologies
Teaching Experience: 7 Years
Date of Joining: 4/21/2023
DYPSN Experience: 3 Years
Email: dypsupriya@gmail.com

Mrs. Swati Tushar Patil

Designation: Assistant Professor
Qualification: ME Embedded and VLSI PhD Pursuing
Specialization: Feature Engineering, Software Engineering, Embedded and VLSI
Teaching Experience: 6.5 Years
Date of Joining: 5/20/2024
DYPSN Experience: 2 Years
Email: swatibhosale49@gmail.com

Mr. Vishal Sunil Pawar

Designation: Assistant Professor
Qualification: Mtech CSE
Specialization: Data structure, C and Java Programing, Compiler design,
Teaching Experience: 4 Years
Date of Joining: 7/1/2026
DYPSN Experience: -
Email: vishal.pawar.0206@gmail.com

Ms. Bhagyashri Bajirao Jadhav

Designation: Assistant Professor
Qualification: ME(Computer Engg.), PhD(Persuing)
Specialization: Information Security, Cyber Security
Teaching Experience: 4 Years
Date of Joining: 8/29/2022
DYPSN Experience: 4 Years
Email: bhagyadyp27@gmail.com

Ms. Sayali Mahadev Patil

Designation: Assistant Professor
Qualification: M.tech(Data Science), M.B.A(HR & IT)B.E (IT)
Specialization: DataScience
Experience: 3.5 Years
Date of Joining: 4/12/2023
DYPSN Experience: 2.8 Years
Email: patilsayali6779@gmail.com

Mrs. Aishwarya Satyajeet Nagaonkar

Designation: Assistant Professor
Qualification: M.Tech (CSE), Phd(Pursuing)
Specialization: Computer Network
Teaching Experience: 3.5 Years
Date of Joining: 3/3/2023
DYPSN Experience: 3.5 Years
Email: vanashrishinde14@gmail.com

Mr. Aditya Anil Talekar

Designation: Assistant Professor
Qualification: Masters in Data Science and AI
Specialization: Artificial intelligence and Machine learning
Teaching Experience: -
Date of Joining: 6/29/2026
DYPSN Experience: -
Email: aditya.a.talekar@gmail.com

Educators 

Non-Teaching Faculty

Ms. Vaishnavi Rajendra Patil

Designation: Lab Assistant
Qualification: M.B.A, B.Sc Electronics
Specialization: Electronics
Experience: 3.5 Years
Date of Joining: 23/2/2023
DYPSN Experience: 3.5 Years
Email: vaishnavi.dypsn@gmail.com

Mr. Vaibhav Eknath Asabe

Designation: Lab Assistant
Qualification: Diploma
Specialization: Computer
Experience: 7 Years
Date of Joining: 1/7/2019
DYPSN Experience: 7 Years
Email: vaibhavasabedypsn@gmail.com

Mr. Ruturaj Pradeep Patil

Designation: Lab Assistant
Qualification: BE
Specialization: Computer science engineering
Experience: 1 Years
Date of Joining: 8/1/2025
DYPSN Experience: 1 Years
Email: ruturaj1846@gmail.com

Curiculum & Syllabus

Syllabus

Semester – III
Sr. No. Course
Category
Course
Code
Course Title Teaching Scheme Contact
Hrs/Wk
Course
Credits
EXAM SCHEME
L T P MSE ISE/CA ESE TOTAL
1 PCC DS2101 Statistic for Data Science 3 1 -- 4 4 30 10 60 100
2 PCC DS2102 Software Engineering 3 -- -- 3 3 30 10 60 100
3 PCC DS2103 Operating System 3 -- -- 3 3 30 10 60 100
4 EL DS2104 Object Oriented Programming -- -- 2 2 1 -- 50 25 75
5 MDM DS2105 Multi-disciplinary Minor–01 2 -- -- 2 2 30 10 60 100
6 OE DS2106 Open Elective 01 3 -- -- 3 3 30 10 60 100
7 HSSM DS2107 Employability Enhancement Skills-I 2 -- -- 2 2 -- 50 -- 50
8 EL DS2108 Data Structures Using C -- -- 2 2 1 -- 50 25 75
9 HSSM DS2109 Cyber Laws 2 -- -- 2 2 -- 50 -- 50
10 OE DS2110 Open Elective-01Lab -- -- 2 2 1 -- 25 25 50
Total 18 1 6 25 22 150 275 375 800
L - Lecture      T - Tutorial      P - Practical
MSE - Mid Semester Examination    ISE/CA - In Semester Evaluation/Continuous Assessment
ESE - End Semester Examination (For Laboratory End Semester performance)
Course
Category
Basic Science
Courses (BSC)
Engineering
Science
Courses (ESC)
Programme
Core-course
(PCC)
Programme
Elective
Course (PEC)
Open Elective
other than
Particular programme
(OE/MDM)
Vocational and
Skill
Enhancement
Course (VSEC)
Humanities
Social Science
and Management
(HSSM)
Experiential
Learning
(EL)
Co-curricular
And
Extracurricular
Activities
(CCA)
Last Sem.
Cumulative Sum
16 22 -- -- -- 02 02 -- 02
Semester
Credits
-- -- 10 -- 06 -- 04 02 --
Cumulative
Sum
16 22 10 -- 06 02 06 02 02
Progressive Total Credits: 44 + 22 = 66



Second Year B.Tech. Computer Science & Engineering Data Science — Semester IV
Sr. No Course Category Course Code Course Title L T P Contact Hrs/Wk Course Credits EXAM SCHEME
MSE ISE/CA ESE TOTAL
1 PCC DS2201 Fundamental of Data Science 3 -- -- 3 3 30 10 60 100
2 PCC DS2202 Discrete Mathematics & Structure 3 -- -- 3 3 30 10 60 100
3 PCC DS2203 Computer Networks 3 1 -- 4 4 30 10 60 100
4 MDM DS2204 Multi-disciplinary Minor-02 2 -- -- 2 2 30 10 60 100
5 OE DS2205 Open-Elective-02 2 -- -- 2 2 30 10 60 100
6 HSSM DS2206 Soft Skills 2 -- -- 2 2 -- 50 -- 50
7 HSSM DS2207 Employability Enhancement Skills-II 2 -- -- 2 2 -- 25 -- 25
8 VEC DS2208 Fundamental Of Data Science Lab -- -- 2 2 1 -- 50 25 75
9 VSEC DS2209 Python for Data Science Lab -- -- 2 2 1 -- 25 25 50
10 VEC DS2210 Mini Project Lab -- -- 2 2 1 -- 25 25 50
11 BSC DS2211 Environmental Science 2 -- -- 2 Audit 30 10 60 100
12 VSEC DS2212 Computer Maintenance Technology -- -- 2 2 1 -- 50 -- 50
Total 19 1 8 28 22 180 285 435 800+100
(Audit)
L - Lecture T - Tutorial P - Practical
MSE - Mid Semester Examination    ISE/CA - In Semester Evaluation / Continuous Assessment
ESE - End Semester Examination (For Laboratory End Semester performance)
Course Category Basic Science Courses (BSC) Engineering Science Courses (ESC) Programme Core Course (PCC) Programme Elective Course (PEC) Open Elective other than particular programme (OE/MDM) Vocational and Skill Enhancement Course (VSEC) Humanities Social Science and Management (HSSM) Experiential Learning (EL) Co-curricular and Extracurricular Activities (CCA)
Last Sem. Cumulative Sum 16 22 10 -- 06 02 06 02 02
Semester Credits -- -- 10 -- 04 02 04+02(VEC) -- --
Cumulative Sum 16 22 20 -- 10 04 12 02 02
PROGRESSIVE TOTAL CREDITS : 66 + 22 = 88
Revised Syllabus as per NEP 2.0
Third Year B.Tech. Computer Science & Engineering Data Science — Semester V
Sr.
No.
Course
Category
Course
Code
Course Title L T P Contact
Hrs/Wk
Course
Credits
EXAM SCHEME
MSE ISE/CA ESE TOTAL
1 PCC DS3101 Artificial Intelligence 3 -- -- 3 3 30 10 60 100
2 PCC DS3102 Database Engineering 3 -- -- 3 3 30 10 60 100
3 PCC DS3103 Information Security 3 -- -- 3 3 30 10 60 100
4 PEC DS3104 Elective-I 3 -- -- 3 3 30 10 60 100
5 MDM DS3105 Multi-disciplinary Minor–03 3 -- -- 3 3 30 10 60 100
6 OE DS3106 Open Elective–03 2 -- -- 2 2 30 10 60 100
7 PCC DS3107 Database Engineering Lab -- -- 1 2 1 -- 25 25 50
8 PCC DS3108 Java Programming Lab -- -- 1 2 1 -- 25 25 50
9 PEC DS3109 Elective-I Lab -- -- 1 2 1 -- 25 -- 25
10 MDM DS3110 Multi-disciplinary Minor–03 Lab -- -- 1 2 1 -- 50 -- 50
11 EL DS3111 Business English -- -- 1 2 1 -- 25 -- 25
Total 17 -- 05 27 22 180 210 410 800
L-Lecture      T-Tutorial      P-Practical
MSE-Mid Semester Examination   ISE/CA-In Semester Evaluation/Continuous Assessment   ESE-End Semester Examination (For Laboratory End Semester performance)
Course
Category
Basic Science
Courses (BSC)
Engineering Science
Courses (ESC)
Programme Core
Course (PCC)
Programme Elective
Course (PEC)
Open Elective other than
particular programme
(OE/MDM)
Vocational and Skill
Enhancement Course
(VSEC)
Humanities Social
Science and Management
(HSSM)
Experiential
Learning (EL)
Co-curricular and
Extracurricular Activities
(CCA)
Last Sem. Cumulative Sum 16 22 20 - 10 04 12 02 02
Semester Credits -- -- 11 4 06 -- - 01 --
Cumulative Sum 16 22 31 4 16 04 12 03 02
PROGRESSIVE TOTAL CREDITS: 88 + 22 = 110

Revised Syllabus as per NEP 2.0
Third Year B.Tech. Computer Science & Engineering Data Science — Semester VI
Sr. No. Course Category Course Code Course Title L T P Contact Hrs/Wk Course Credits EXAM SCHEME
MSE ISE/CA ESE TOTAL
1 PCC DS3201 Advanced Database Systems 3 -- -- 3 3 30 10 60 100
2 PCC DS3202 Data Mining & Data Warehousing 3 1 -- 4 4 30 10 60 100
3 PCC DS3203 Feature Engineering 3 -- -- 3 3 30 10 60 100
4 PEC DS3204 Elective - II 3 -- -- 3 3 30 10 60 100
5 PEC DS3205 Elective - III 3 -- -- 3 3 30 10 60 100
6 MDM DS3206 Multi-disciplinary Minor-04 3 -- -- 3 3 30 10 60 100
7 PCC DS3207 Advanced Database Systems Lab -- -- 1 2 1 -- 50 25 75
8 PCC DS3208 R Programming Lab -- -- 1 2 1 -- 50 25 75
9 EL DS3209 Software Testing Tools -- -- 2 4 2 -- 50 -- 50
Total 17 1 4 26 22 180 210 410 800
L - Lecture       T - Tutorial       P - Practical
MSE - Mid Semester Examination    ISE/CA - In Semester Evaluation / Continuous Assessment    ESE - End Semester Examination (For Laboratory End Semester performance)
Course Category Basic Science Courses (BSC) Engineering Science Courses (ESC) Programme Core Course (PCC) Programme Elective Course (PEC) Open Elective other than Particular programme (OE/MDM) Vocational and Skill Enhancement Course (VSEC) Humanities Social Science and Management (HSSM) Experiential Learning (EL) Co-curricular and Extra-curricular Activities (CCA)
Last Sem. Cumulative Sum 16 22 31 04 16 04 12 03 02
Semester Credits -- -- 12 06 02 -- -- 02 --
Cumulative Sum 16 22 43 10 18 04 12 05 02
PROGRESSIVE TOTAL CREDITS: 110 + 22 = 132


FINAL YEAR COMPUTER SCIENCE AND ENGINEERING (DATA SCIENCE) - CBCS PATTERN
SEMESTER – VII
Sr.
No.
Course /
Subject / Title
TEACHING SCHEME EXAMINATION SCHEME
THEORY TUTORIAL PRACTICAL THEORY ORAL / PRACTICAL TERMWORK
Credits No. of
Lectures
Hours Credits No. of
Hours
Hours Credits No. of
Hours
Hours Mode Marks Total
Marks
MIN MAX MIN MAX MIN
1 PCC-DS701
Artificial Intelligence
4 4 4 1 1 1 -- -- -- CIE
ESE
30
70
100 40 -- -- 25 10
2 PCC-DS702
R Programming
3 3 3 -- -- -- 1 2 2 CIE
ESE
30
70
100 40 25 10 -- --
3 PCC-DS703
Advanced Database Systems
3 3 3 -- -- -- 1 2 2 CIE
ESE
30
70
100 40 50 20 25 10
4
PCE-DS704
Elective-I Information Retrieval System
PCE-DS705
Elective-I Blockchain Technologies
PCE-DS706
Elective-I Natural Language Processing
3 3 3 1 1 1 -- -- -- CIE
ESE
30
70
100 40 -- -- 25 10
5 PCC-DS707
Deep Learning
3 3 3 -- -- -- 1 2 2 -- -- -- -- 50 20 50 20
6 PW-DS708
Project – I
-- -- -- -- -- -- 2 4 4 -- -- -- -- 50 20 50 20
7 SI-DS709
Internship
-- -- -- -- -- -- 2 -- -- -- -- -- -- -- -- 50 20
Total (SEM – VII) 16 16 16 2 2 2 7 12 12 -- -- 400 -- 150 -- 250 --
FINAL YEAR COMPUTER SCIENCE AND ENGINEERING - CBCS PATTERN
SEMESTER – VIII
Sr.
No.
Course /
Subject /
Title
TEACHING SCHEME EXAMINATION SCHEME ORAL /
PRACTICAL
TERMWORK
THEORY TUTORIAL PRACTICAL THEORY ORAL / PRACTICAL TERMWORK
Credits No. of
Lectures
Hours Credits No. of
Hours
Hours Credits No. of
Hours
Hours Mode Marks Total
Marks
MIN. MAX. MIN. MAX. MIN.
1 PCC-DS801
Big Data Analytics
4 4 4 -- -- -- 1 2 -- CIE
ESE
30
70
100 40 50 20 25 10
2 PCC-DS802
Data Visualization
3 3 3 1 1 -- -- -- -- CIE
ESE
30
70
100 40 -- -- 25 10
3
PCE-DS803
Elective-II Project Management
PCE-DS804
Elective-II Cyber Laws and Ethical Hacking
PCE-DS805
Elective-II Augmented Reality and Virtual Reality
3 3 3 1 1 -- -- -- -- CIE
ESE
30
70
100 40 -- -- 25 10
4
PCE-DS806
Elective-III Distributed and Cloud Computing
PCE-DS807
Elective-III Software Testing and Quality Assurance
PCE-DS808
Elective-III High Performance Computing
3 3 3 1 1 -- -- -- -- CIE
ESE
30
70
100 40 -- -- 25 10
5 PCC-DS809
Web Technology
3 3 3 -- -- -- 1 2 -- -- -- -- -- 50 20 50 20
6 PW-DS810
Project – II
-- -- -- -- -- -- 2 4 -- -- -- -- -- 50 20 50 20
7 HSS-DS811
Professional Skills
-- -- -- 1 2 -- -- -- -- -- -- -- -- -- -- 50 20
Total (SEM – VIII) 16 16 16 4 4 4 5 10 -- -- -- 400 -- 150 -- 250 --
Total 32 32 32 6 6 6 12 22 -- -- -- 800 -- 300 -- 500 --

Learning Schedule

Timetable

Events Schedule

Academic Calender

Outcomes

OBE

Look into

Research Areas

  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Explainable AI
  • Multi-Agent Systems
  • Data Mining
  • Data Analytics
  • Data Visualization
  • Predictive Analytics
  • Knowledge Discovery
  • Network Security
  • Cryptography
  • Ethical Hacking
  • Digital Forensics
  • Blockchain Security
  • Privacy-Preserving Computing
  • Wireless Networks
  • Software-Defined Networking (SDN)
  • Network Optimization
  • Internet of Things (IoT)
  • 5G/6G Networks
  • Cloud Infrastructure
  • Edge/Fog Computing
  • Distributed Systems
  • Resource Scheduling
  • Serverless Computing
  • Smart Cities
  • Smart Healthcare
  • Industrial IoT
  • IoT Security
  • Sensor Networks
  • Image Processing
  • Object Detection
  • Facial Recognition
  • Medical Image Analysis
  • Autonomous Vision Systems
  • Machine Translation
  • Sentiment Analysis
  • Speech Recognition
  • Question Answering
  • Large Language Models (LLMs)
  • Autonomous Robots
  • Human-Robot Interaction
  • Robot Navigation
  • Swarm Robotics
  • Software Testing
  • Software Quality Assurance
  • DevOps
  • Agile Development
  • Software Architecture
  • User Experience (UX)
  • User Interface (UI)
  • Accessibility
  • Virtual Reality (VR)
  • Augmented Reality (AR)
  • Parallel Computing
  • GPU Computing
  • Scientific Computing
  • Performance Optimization
  • Distributed Databases
  • NoSQL Databases
  • Graph Databases
  • Database Security
  • Quantum Algorithms
  • Quantum Machine Learning
  • Quantum Cryptography
  • Smart Contracts
  • Decentralized Applications (DApps)
  • Consensus Algorithms
  • Web3 Technologies
  • Computer Graphics
  • Animation
  • Game Development
  • Video Processing
  • Algorithms
  • Computational Complexity
  • Graph Theory
  • Formal Methods
  • Generative AI
  • Explainable AI (XAI)
  • Federated Learning
  • Green Computing
  • Sustainable Computing
  • TinyML
  • Digital Twins
  • AI for Healthcare
  • AI for Agriculture
  • Intelligent Transportation Systems

Practical Works

Projects

Documents
Sr No Document Name Action
01 Sample Project Report Open
02 Project Titles and Guide (2025-26) Open
03 Project Titles and Guides (2024-25) Open
04 Project Exhibition (2025-26) Open

Proclamation 

Publications

Research Publications
Research Publications
Sr.
No.
Paper Title Author Name Journal / Conference Date ISSN No. / DOI No.
1 Instructor emotion recognition from facial expressions in video lectures: current state challenges and future directions. Mrs. Snehal S. Patil Springer Multimedia Tools and Applications 2026 1380-7501
2 Deep Learning-Based Network Traffic Signal Analysis for Intelligent Cyber Threat Detection Mr. Rohit Shantinath Barwade International Journal of Advances in Signal and Image Sciences (IJASIS) 2026 2457-0370
3, 4 Organic Farming: A Sustainable Approach Mrs. Veera Sachin Raval GRENZE 2025 (SCOPUS INDEX) 2026 --
Mrs. Kiran Nikhil Ingawale
5 Hashtag Recommendation of Streaming News based on Semantic Similarity Mrs. Sneha S. Ghewari GRENZE International Journal of Engineering and Technology (GIJET) 2025 --
6 Exploring Hashtag Recommendation Systems: A Survey of Methods, Applications and Future Directions Mrs. Sneha S. Ghewari GRENZE International Journal of Engineering and Technology (GIJET) 2025 --
7 Survey on AI-Powered Cyber Security and Phishing Techniques Mrs. Manali Kulkarni The Generative AI in E-Commerce, Education, Banking and Finance 28th February 2025 --
8 In-silico studies on phytochemical, eugenol from clove buds Prof. Kiran Ingawale Journal of Pharmacognosy and Phytochemistry Jan-Feb 2025 2278-4136
9 In-silico studies on phytochemical, eugenol from clove buds Mr. Gajanan Kadam Journal of Pharmacognosy and Phytochemistry Jan-Feb 2025 2278-4136
10–14 Review on: An Analysis of Smart Cities Development of India Prof. Rohit S. Barwade International Journal of Creative Research And Thoughts 7 January 2025 2320-2882
Prof. Shailaja S. Panhalkar
Prof. Rucha A. Gurav
Prof. Vanashri Shinde
Ms. Aishwarya S. Karande
15 Stakeholders Sentiment Analysis Using Twitter Data on NEP 2020: A Case Study Approach Mr. Ganesh Rathod IEEE Conference 11 February 2025 DELCON64804.2024.10866959
16 Andragogical Measures to Improve Employability of Engineering Graduates Dr. Shivleela Arlimatti Educreator Research Journal Nov–Dec 2022 ISSN: P-2455-0515 / E-2394-8450
17 Artificial Intelligence based traffic control system using reinforcement learning Dr. Shivleela Arlimatti The Sixth International Conference on Internet Applications, Protocols and Services (NETAPPS2020) 2021 International Conference
18 The Potential of Blockchain for 5G Technologies: Opportunities and Challenges Dr. Shivleela Arlimatti The Sixth International Conference on Internet Applications, Protocols and Services (NETAPPS2020) 2021 International Conference
19 Review on Smart Dairy ERP System Based on Android Application Ms. Shailja S. Panhalkar International Journal of Trend in Scientific Research and Development August 2021 ISSN: 2456-6470
Ms. Rucha Patil
Ms. Vanshri Shinde
20 A Review on: Video Streaming using Cloud Computing Based on Android Application Miss. Shailja S. Panhalkar International Journal of Trend in Scientific Research and Development June 2018 ISSN: 2456-6470

Copyrights

Patents

Patent Applications
Patent Applications
No. Inventor/s Name Title of the Patent Patent
Filed
Status of Patent
(Published / Granted)
Patent Publication
Number
Design / Utility
Patent
1. Mrs. Vanashri Shinde Arduino-Based Fire Detection Device 2024 Published -- Design
Mr. Ganesh Rathod
Mr. Rohit Barwade
2. Dr. Shivaani Kalle Cognitive Focus Monitoring Device 2024 Published -- Design
3. Dr. Shivaani Kalle Navigation Assisting Smart Device 2024 Published -- Design
4. Mr. Rushikesh P. Kulkarni AI Based Cloud Computing Security Device 2025 Granted -- Design
AI Based Digital Educational Display Device
AI Based Security Device Using Facial Recognition
5. Ms. Khambalkar Chhaya H. AI Driven Workflow Automation For Large Scale Data Processing 2025 Published -- Design
Mr. Rushikesh P. Kulkarni
Mrs. Veera Raval
Mrs. Kiran Ingawale
Ms. Aishwarya Karande
6. Mr. Rushikesh P. Kulkarni AI-Powered Self Checkout System for Supermarkets 2025 Granted -- Design (UK Design)
7. Mr. Rushikesh P. Kulkarni Evaluating the Impact of Data Masking Techniques on Data Privacy 2025 Published -- Utility
8. Mr. Rushikesh P. Kulkarni IOT Based Agriculture Robot For Seed Sowing 2025 Granted -- Design
9. Mr. Rushikesh P. Kulkarni IOT Based Plastic Waste Disposal Device 2025 Granted -- Design
10. Dr. Shivaani Kalle SVR Gloves 2025 Filed -- --
Mrs. Veera Raval 17/04/2026 Filed 498864-001 --
Mrs. Kiran Ingawale 17/04/2026 Filed 498864-001 --
11. Mr. Gajanan B. Kadam Method and System for Bias Mitigation and Explainability in Generative AI Output Generation 23/03/2026 Filed 495800-001 Design
12. Mrs. Sneha S. Ghewari Social Media Hashtag Recommender Device 25/05/2026 Filed -- Design

Instructional Lab

Laboratories

Internet of Things Lab (IOT Lab)

Operating System Lab

Programming Lab -1

Python Programming Lab

Programming Lab- 2

Network Lab

Shelves

Department Library Committee

Committee Members
Sr. No. Name of Member Designation Sign
1. Prof. Rohit Raut HOD
2. Mrs. Supriya S. Laykar Asst. Professor
3. Ms. Bhagyashri Jadhav Asst. Professor
4. Mrs. Aishwarya Nagaonkar Asst. Professor
5. Ms. Komal Rokade Asst. Professor
6. Mrs. Swati Patil Asst. Professor
7. Mr. Vishal Pawar Asst. Professor
8. Mr. Aditya TalekarDepartment Library Head Asst. Professor
9. Mr. Omkar Vaibhav Dangare Student

Shelves

Department Library Book Details

Capacity

Students Intakes

Year-wise Summary — Department Student Details
Year-wise Summary
Dr. D. Y. Patil Pratishthan's College of Engineering, Salokhenagar, Kolhapur — Department of Computer Science and Engineering
Academic Year Total Students Male Students Female Students
2023 – 2024 205 113 82
2024 – 2025 208 117 91
2025 – 2026 201 103 98

Capacity

Intake 2025-26

Class & Division-wise Detail — 2025–26
Class & Division-wise Detail — Academic Year 2025–2026
Total Students: 576  |  Male Students: 329  |  Female Students: 247
Sr. No. Intake Class & Division Total Students Male Students Female Students
1 60 S.Y. 65 30 35
2 60 T.Y. 73 41 32
3 60 B.Tech. 63 32 31
Department Total 201 329 247

Capacity

Intake 2024-25

Class & Division-wise Detail — 2024–25
Class & Division-wise Detail — Academic Year 2024–2025
Total Students: 471  |  Male Students: 270  |  Female Students: 201
Sr. No. Intake Class & Division Total Students Male Students Female Students
1 60 S.Y. 73 41 32
2 60 T.Y. 63 32 31
3 60 B.Tech. 72 44 28
Department Total 208 117 91

Capacity

Intake 2023-24

Class & Division-wise Detail — 2023–24
Class & Division-wise Detail — Academic Year 2023–2024
Total Students: 378  |  Male Students: 227  |  Female Students: 151
Sr. No. Intake Class & Division Total Students Male Students Female Students
1 60 S.Y. 63 32 31
2 60 T.Y. 72 44 28
3 60 B.Tech. 70 47 23
Department Total 205 113 82

Outside Of Campus

Industry Collabs/MoUs

List of MoUs
Sr.
No.
Organisation with which
MoU is signed
Name of the Institution /
Industry / Corporate House
Year of
Signing MoU
Activities Under Each MoU
(Year Wise)
Duration
1. DYPSN Digital Microsys 27/01/2025 Report 3 Years
2. DYPSN iGap Technologies pvt. ltd. 03/01/2025 Report 3 Years

Outside of Campus

Industry Visits

Red Carpet Advent LLP, Kolhapur

📅 26 sep 2025🎓 Third Year CSE-DS

An industrial visit providing practical exposure to 2D-3D animations, Git & Github and Copyrights.

✔ Animations
✔ 2D and 3D Graphics
✔ Git & Cloud
✔ Copyrights and TM

Walstar Technologies, Kolhapur

📅 19 Jul 2025🎓 Second Year, Third Year

WordPress, Shopify Web development

✔ WordPress
✔ Shopify
✔ PHP
✔ Web Dev

Acme Vision pvt. ltd. , Satara

📅 24 Jan 2026📍 Third Year

Jewellery Software, Retail Business software Information.

✔ Software
✔ Architecture
✔ System Design
✔ ASP.NET

Future Preperations

Internships

Students Internship Details — 2025-26

Dr. D. Y. Patil Pratishthan's College of Engineering Salokhenagar, Kolhapur

Contact

  • Admission:
  • College:
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