DTE COLLEGE CODE: EN6732

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S4DS


Objectives:

  1. 1. To provide a platform for students to enhance their knowledge and skills in data science through workshops, seminars, and educational activities.
  2. 2. To facilitate collaboration among students interested in data science, creating a supportive community for sharing ideas and projects.
  3. 3. To connect students with professionals, researchers, and experts in the field of data science, enabling valuable networking experiences.
  4. 4. To engage in practical data science projects that apply analytical skills to real-world challenges, promoting hands-on learning.

Outcomes :

  1. 1. Students will acquire and develop practical data science skills, making them more proficient in data analysis, machine learning, and data visualization.
  2. 2. A robust community of students interested in data science will emerge, leading to valuable connections, collaborations, and knowledge sharing.
  3. 3. Members will have access to resources and opportunities that aid in their professional development, including internships, workshops, and guest lectures.

Activities

1. Inauguration Function of S4DS Student Chapter

Date: 05/06/2023 at 1:00 pm

The Inauguration ceremony of the Artificial Intelligence and Data Science S4DS (Society for Data Science) Student Chapter marked an important moment in our commitment to fostering data science education and research among the students. The AI&DS S4DS Student Chapter aim to provide a platform for students to explore the realm of artificial intelligence and data science, collaborate on projects and engage with industry experts.









2. Technovanza 2K23

Date : 28th October 2023 10:00 AM

Department of Artificial Intelligence and Data Science in association with S4DS Student chapter had successfully conducted the event "Technovanza 2k23" on 28 October 2023. The event attracted participants from various educational institutions of Savitribai Phule Pune University and other Universities. A variety of exciting events were conducted under TECHNOVANZA 2k23 like CloneAthon, Treasure Hunt, BGMI Tournament, Black Box Challenge & Chess. Event had a huge response from participants with positive feedback. Attractive cash prizes were also awarded to the winners.







Industrial Visit







News & Event


Hackathon 2k23

Hackathon 2k23

Chess Match

International mens Day

ISF Festival

National Girl Child Day

National Girl Child Day

S4DS

S4DS inaugration

Trafic Safety awareness

Trafic Safety Awareness

Cyber Jagrukta Diwas 2022 online Webinar Session

Marathi Diwas



Poster Making Competition

Engineers Day and Hindi Diwas Celebration

Navami Pooja 2022

Workshop on Effective Communication

Poster Presentation

Cultural Event

Poster presentation about awareness of NEP-2020

Students


Parent Teachers Meeting



Parents Teacher Meeting 2023

Vision & Mission

Vision :-

    Imparting quality education in the field of Artificial Intelligence and Data Science.


Mission :-

  1. 1. To include the culture of Research and Development to meet the future challenges in AI and DS.
  2. 2. To develop technical skills among students for building intelligent systems to solve problems.
  3. 3. To develop entrepreneurship skills in various areas among the students.
  4. 4. To include moral, social, and ethical values to make students the best citizens of the country.

Lab Details :-

Hardware and Networks Lab

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (20) Printer Epson LQ 1150( 01) 89X51 rd2 Besed development Board (03), PIC development board 12c ADC-DAC card (03), Stepper Moter Inerfacing Card (03), 4X4 Interfacing Card

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora-19
Software Installed:-MS Office 2010, MASM, TASM, NASM, Latex

Computer Graphics Lab

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (20)
Printer Epson lQ 1150( 1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora - 18
Software Installed:-MS Office 2010, VB 6.0, Oracal 11g, Ecalips, Java-Jdk, Turbo C C++

Post-Graduation Lab (PG)

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (25) Printer Epson LQ 1150 ( 01)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Ubuntu-13 Software Installed:-MS Office 2010, NS3, JAVA-JDK, Libre Office,

Programming and Data Structures Lab

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (22) Printer :Epson Dotmatrix LQ1150( 1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora 19 Software Installed:-MS Office 2010, MASM,TASM, NASM, TC, Latex

Research & Development Tools Lab ( PG)

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (20) Printer Cannon laserjet LBP2900 ( 1) Printer HP laserjet 1020 Plus (1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Ubuntu-13 Software Installed:-MS Office 2010, NS3, Libre Office

Software Development Tools Lab

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (22) Printer Epson LQ 1150( 1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora 19 Software Installed:-MS Office 2010, Visual Studio 2010, Sql Server, TC, Paython

Software Lab

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (23) Printer Epson LQ 1150( 1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora - 19 Software Installed:-MS Office 2010, Visual Studio, Java-JDK, Eclips, VB 6.0,

Digital Electronics & Microprocessor Interfacing

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (23) Printer Epson LQ 1150( 1)HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (05), Teaching Aids DYNA-86L #3978 to 398 (7), Dx-3030 30 MHz Dual channel Oscilloscope(2), Dx- 6101 3 1/2 Digital Multimeter(1), Dx- 1101 30 MHz 125 Msals 8'' TFT Color Display Digital Storage Oscilloscope (1), Digital Trainer kit

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Ubuntu-13 Software Installed:-MS Office 2010, Xilinx, NASM, TASM.

Computer Center

Laboratory Hardware-

HP 3090 PC Desktop, HP Pro 4000 MT Desktop. Printer Epson LQ(02)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Ubuntu-13 Software Installed:-MS Office 2010, Eclips, Autocad, Metlab, Creo 2.0

Foreign Language Training Center

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (22) Printer Epson LQ 1150( 1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora 19 Software Installed:-MS Office 2010, Visual Studio 2010, Sql Server, TC, Paython

Departmental Library

Departmental Library contain more than 600 Books

Lab. No.

Name of Laboratory

Area

Cost

321

Project Lab  Laboratory

66 Sq. m.

8,48,868.00

325

Data Structures and Programming  Laboratory

66 Sq. m.

14,77,117.02

 

327

Hardware &Network Lab

66 Sq. m.

12,25,388.00

330

Computer Graphics Lab

66 Sq. m.

9,69,772.00

338

Computer  Laboratory

66 Sq. m.

1264526.00

339

Digital Electronics &Microprocessor Lab

66 Sq. m.

8,58,943.00

333

Software  Laboratory

66 Sq. m.

1264526.00

331

Software Development Tools  Laboratory

66 Sq. m.

10,27,067.00

Syllabus


Second Year

Download

Third Year

Download

Final Year

Download

Artificial Intelligence & Data Science


“To Become Center Of Excellence In Artificial Intelligence & Data Science Upholding Social Values”

Artificial Intelligence and Data Science is a new branch of study that deals with scientific methodologies, processes, and techniques drawn from different domains like statistics, cognitive science, and computing and information science to extract knowledge from structured data and unstructured data. Artificial intelligence is the process of creating machines that can think like humans, or at least mimic human behavior in some way.

AI is the hottest buzz word in technology today.AI is emerging as a field with applications and integration with several other fields offering scope for learning and propelling careers across fields and technologies. The role of an AI engineers and Data Scientist is vital to any AI or machine-learning strand within a business, and an AI Engineer is an integral part of an organization who delivers tangible solutions - the one capable of creating and maintaining architecture using leading AI technology frameworks.

The Department was established in 2020 and has a Centre of Excellence designed specifically for students’ academic growth and development.

Faculty


Prof. Bhagyashree Dhakulkar

Qualification: ME(Computer Engineering), PhD pusuing
Experience: 18 Years
Email ID: bhagyashree.dhakulkar@dypic.in
Specialization: Data Science, Information Security, Fog Computing
Prof. Priyanka Waghmare

Qualification: M.E.(Computer Science)
Experience: 6 years
Email ID: priyanka.waghmare@dypic.in
Specialization: Machine Learning and Data Science
Prof. Shakti Kaushal

Qualification: ME(Embedded & VLSI System)
Experience: 3.8 Years
Email ID: shaktikaushal@dypic.in
Specialization: IOT, Computer Network
Prof. Poonam S. Nagale

Qualification: ME(Computer Engineering)
Experience: 6 Years
Email ID: poonamnagle@dypic.in
Specialization: AI , Data Science
Prof. Ashima Mahendra

Qualification: M.Tech(Computer Science)
Experience: 6 years
Email ID: ashimamahendra@dypic.in
Specialization: AI and Wireless Sensor network
Prof. Gopika Fattepurkar

Qualification: M.E.(Computer Science)
Experience: 13 years
Email ID: fattepurkargopi@gmail.com
Specialization: Operating system, Programming
Prof. Hemangi Patil

Qualification: ME(Computer Engineering)
Experience:3 Years
Email ID: patilhemangi0@gmail.com
Specialization: Software Engineering
Prof. Yogesh Bajirao Pawar

Qualification: M-Tech(Computer Science & Engineering)
Experience:15 Years 3 Months
Email ID:yogeshpawar@dypic.in
Specialization: Computer Network and Image Processing
Prof. Rachna Chapte

Qualification: M-Tech,M.B.A(IT)
Experience:15 Years
Email ID:rachnachapte@dypic.in
Specialization: Machine Learning
Prof.Ankita Harshad Tidake

Qualification: ME(IT), PhD-Pursuing
Experience: 13 Years
Email ID: ankitatidake@dypic.in
Specialization: Agile,Project Management,Computer, Network
Prof. Payal Rushikesh Deshmukh

Qualification: ME (Computer Science & Engineering)
Experience: 5.8 Years
Email ID: payaldeshmukh@dypic.in
Specialization: OOP, Java
Prof.Sweta Anand Wankhade

Qualification: ME (CSE) PhD(Pursuing)
Experience: 6.9 years
Email ID: sweta wankhade@dypic.in
Specialization: Machine Learning and Data Science , WSN
Prof. Geeta M Kodabagi

Qualification: M.Sc, M.phil, PGDCA,(Ph.d), Data science
Experience:16 Years
Email ID: geetakodabagi@dypic.in
Specialization: Graph theory, Data science
Prof.Priyanka Shreyas Bhore

Qualification:ME (Information Technology)
Experience:4 Years
Email ID: priyankabhore@dypic.in
Specialization: Object Oriented Technology, Data Structure,Data Science
Prof. Vishakha Gedam

Qualification: ME(Computer Engineering)
Experience:4 Years
Email ID:vishakhawankhade@dypic.in
Specialization: Artificial Intelligence
Prof.Rupali Nilesh Wagh

Qualification: ME (E&Tc)
Experience: 11 years [9.5 Years teaching + 1.5 years industrial]
Email ID: rupaliwagh@dypic.in
Specialization: Digital Electronics and Data Science
Prof.Rohini N. Shrikhande

Qualification: ME (E&Tc)
Experience: 6.5 years
Email ID:rohinshrikhande@dypic.in
Specialization: VLSI and Embeded System
Prof. Sushma G. Gunjal

Qualification: ME(Computer Science & Engineering)
Experience: 11 years
Email ID:sushma.bhasgi@gmail.com
Specialization: Data Structure
Prof. Amruta Arjun More

Qualification: ME(Computer Science)
Experience: 1 years
Email ID:amrutamore@dypic.in
Specialization: Networking and Artificial Intelligence

Non-Teaching Faculty


Shubhangi Amol Sawant

Qualification: B.Com and Computer Diploma
Experience: 12 years
Email ID:shubhangi.sawant@dypic.in
Specialization: Lab Assistant
Prof.Pratiraj Maruti Dalvi

Qualification: BA Computer Diploma
Experience: 3 Years
Email ID: pratirajdalvi@dypic.in
Mauli H.Pawar

Qualification: BSc
Experience: 1 Years
Email ID: maulipawar327@gmail.com
Specialization: Microcontroller,documentation
Akshay S. Burde

Qualification: Diploma(Computer Science)
Experience: 2 Years
Email ID:akshayburde@dypic.in
Specialization: Software/technician/Documentation

HoD Profile



Prof. Bhagyashree Dhakulkar

HoD
(Artificial Intelligence & Data Science)

Department of AIDS Engineering is committed to excellence in teaching, and inculcating a sense of pride and confidence in our students. The objective is to empower our students with latest technical knowledge and skills by providing them with the best teaching faculty, lab facilities and excellent research and development environment. The motivation is not just to nurture their technical skills but to provide professional grooming and guidance so that our students come-up as thorough professionals and inspiring individuals. To meet the objectives, the department pays special emphasis on teaching and hands on practical work. The students exhibit their learning through their projects in the final years of curriculum. Thanks to the efforts of our management, faculty and our students, we continue to play a leading role in our discipline. We welcome all the students to the department of AIDS Engineering as undergraduate student and we hope to be part of your success.