The Artificial Intelligence & Machine Learning Department of SGOI Faculty of Engineering & Management, Belhe was started in the year 2022. The goal of the Department is to prepare students for successful careers in software and hardware industry that meets the needs of Indian and multinational companies or to excel in higher studies.
The Department has experienced and dedicated faculty members with strong commitment to the engineering education and professional ethics.

AI

Vision
  • To develop highly skilled engineers in Artificial Intelligence and Machine Learning department capable of adapting to evolving industry needs and guide the world in a positive direction while upholding universal human values.
Mission
  • M1: Incorporating Artificial Intelligence and Machine Learning concepts along with their practical application, aligning with industry standards.
  • M2: Instill universal human values and ethics to foster professionals who can flourish in an ethical manner.
  • M3: Empower technocrats to become global leaders specializing in field of artificial intelligence and machine learning.

DATA SCIENCE

Vision

The data revolution has created novel challenges and unprecedented opportunities. The vision of the Department of Data Science is to create a first-class academic department that trains the next generation of students as data scientists who will solve these grand challenges and innovate through world-class research to take advantage of these opportunities.

Mission
  • M1: Educate students in a field that has ushered in a once-in-a-generation revolution, comparable to the industrial revolution and the original computing revolution.
  • M2: Provide an environment for leading edge research that has a strong and rapid impact on the economy and that reestablishes New Jersey as a world leader in technological advancement.
  • M3: Create a source of scholarship on the many technical, ethical, and privacy issues that ubiquitous data creation is constantly confronting us with.
  • M4: Establish a center of technology knowledge and a “go to organization" to service data creators, providers, managers, curators, and users of the State and the Nation.

Welcome to the Department of Computer Science & Engineering (Data Science) at Samarth College of Engineering & Management!

In today’s data-driven world, Data Science is transforming industries and reshaping how we solve complex problems. Our department is dedicated to providing students with a solid foundation in computer science and specialized knowledge in data analytics, machine learning, and big data technologies. We combine theoretical learning with practical application, preparing students to become innovative leaders in the field.

With a strong emphasis on research, industry collaboration, and hands-on projects, we ensure that our students are well-equipped to excel in the ever-evolving tech landscape. Our experienced faculty, modern labs, and nurturing environment offer a holistic approach to learning and development.

We are excited to guide our students on this journey and help them make meaningful contributions to the world of Data Science.

Best regards,

[Prof. Shelake S.D.]

Head of Department – Computer Science & Engineering (Data Science and AI)

Samarth College of Engineering & Management

PEO/PSO/PO


Program Educational Objectives (PEO's)


  1. To create competencies and opportunities for Higher Education.
  2. To create professional manpower skilled for the IT Industry.
  3. To write laboratory practicals with advanced FOSS Tools.
  4. To create inter-disciplinary opportunities.
  5. To create opportunities of developing technical documents and presentation skills.
  6. To create opportunities of industry-Institute interactions.

Program Specific Outcomes (PSO's)


A graduate of the Computer Engineering Program will demonstrate-

  1. Professional Skills-The ability to understand, analyze and develop computer programs in the areas related to algorithms, system software, multimedia, web design, big data analytics, and networking for efficient design of computer-based systems of varying.
  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.
  3. Successful Career and Entrepreneurship- The ability to employ modern computer languages, environments, and platforms in creating innovative career paths to be an entrepreneur, and a zest for higher studies.

Program Outcomes (PO's)


Students are expected to know and be able –

  1. To expose students to the Systems and Applications Programming, Organizations and Architectures.
  2. To provide conceptual knowledge in the Computing domain.
  3. To provide interdisciplinary knowledge.
  4. To expose students with advanced tools used in industry.
  5. To develop written and soft-skill competencies.
  6. To develop team work experience of professionals skills for IT Industry.

Computer Department

Faculty

 

sr no Teacher Name Designation Experience Profile
1 Prof. Shelake Shubham Dnyaneshwar Head & Asst. Professor 6 Years Profile
2 Prof. Rashmi Santosh Dumbre Asst. Professor 4 yrs profile
3 Thorat Prajakta Tanaji  Asst. Professor  2 years Profile 
4 Assi.prof.shelar swapnali abhijeet Assistant professor 2 Yrs. profile
5 Bramhane Priyanka Sandip Assistant professor  3 Years Profile
6 Prof. Chaudhari V.S. Asst. Professor 15 Yrs Profile
7 Prof. Nawale Swapnil Kisan Assistant Professor 15 years Profile
8 Gulve Akanksha Babasaheb  Assistant professor  3 Months  Profile 

Acadmic Calender


  1. AI Acadmic Calender Year : 2024-25 Download
  2. DS Acadmic Calender Year : 2024-25 Download

Notice


  • Notice 1 (Dt:10-Dec-2017): Next Semester will comense from 20-Dec-2017.
  • Notice 2 (Dt:30-Dec-2017): All Student must be present for all Lectues & Practicals. 85% Attendance is mandatory.
  • Notice 3 (Dt:10-Jan-2018):All SE students notice that First Online will start from 6-Feb-2018.
  • Notice 4 (Dt:15-Jan-2017):All students has to pay their tutions fees.

Lab No.

234A

Lab Name

Software Lab I

Equipment’s

Desktop computer Core i5 6500T 2.5 GHz,8GB RAM,64 bit, 24 port & 16 port D-Link 1026 Switch, Switch Rack 2U TP Link Wi-Fi Router

Software Installed

OS Ubuntu 22.04.4 LTS, C++, Java, Python, Packet Tracer 8.2.2, Jupyter Notebook.


Lab no

228

Lab Name

Data Analytics

Equipment’s

Lenovo Desktop Computer core i3,24 port D-link ,1026 switch Rack 2U

Software Install

OS Ubantu,Python, Jupiter Notebook,GCC, C++,MongoDB,Postman


Lab No

229

Lab Name

Software Lab 2

Equipment

HP Desktop Computer Core i5 ,

OS Name – Ubuntu 22.04.5 LTS

OS Type – 64 bit

Memory – 8.0 GB

Processor- intel core i5

Software Installed

OS Ubuntu ,G-edit, GCC ,C++, Python, jupyter Notebook ,JDK


Lab no

243

Lab Name

IOT

Equipment’s

Lenovo Desktop Computer core i3,24 port D-link ,1026 switch Rack 2U

Software Install

OS Windows,Arduino IDE,Tinkercad

Hardware

Aurduino Board,Bread Board,

Jumpers wires,Resistors,LED,Push Buttons, Potentiometers,

Servo motor,Buzzar,DC motor,Transistors,Diaodes, Capaitors,Sensors,LCD Display,Power Supply


Lab no

244

Lab Name

Programming Lab

Equipment’s

HP Desktop Computer Core i5 ,

OS Name – Ubuntu 22.04.5 LTS

OS Type – 64 bit

Memory – 8.0 GB

Processor- intel core i5

Software Install

OS Ubuntu ,G-edit, GCC ,C++, Python, jupyter Notebook ,JDK, Mango DB


  • BE 2017-18 Batch


    • List of projects under taken by our student.Download.

Alumni List Download

Department of AIML Engineering

Date: 27/07/2024

Academic year: 2023-2024 Class: S.E.

Odd Sem

Sr.

No.

Name of subject

Name of teacher who taught

this subject

No of students appeared for

exam/ subject

No of students clear pass in this subject

% of passing

1

Discrete Mathematics

Prof. Nirmale S.N.

71

60

84.50 %

2

Data Structure and Algorithm

Prof. Walunj P.D.

71

56

80 %

3

Computer Networks

Prof. Chaudhari V.S.

71

63

88.73 %

4

Object Oriented Programming

Prof. Bramhane P.S.

71

48

67.60 %

5

Software Engineering

Prof. Raut Y.P.

71

66

92.95 %

Even Sem

Sr.

No.

Name of subject

Name of teacher who taught

this subject

No of students appeared for

exam/ subject

No of students clear pass in this subject

% of passing

1

Applied Mathematics

Prof. Nirmale S.N.

71

59

83.09 %

2

Operating System

Prof. Shelake S.D.

71

62

91 %

3

Fundamentals of Artificial Intelligence

Prof. Chaudhari V.S.

71

70

99 %

4

Data Base Management System

Prof. Khatal K.B.

71

60

89 %

5

Computer Graphics

Prof. Shinde S.P.

71

71

100 %

Academic year: 2023-2024 Class: S.E.

(COMBINED RESULT ODD + EVEN SEM)

Sr.

No.

Year

No of students appeared for exam

No of students all clear

( pass )

% of all

Clear

students

No of students having ATKT

Total %

of ATKT

+ all clear students promoted to higher

Class

No of students drop out ( Not eligible to go to higher class )

Any other remark by HOD

1

Second Year

71

46

64.78 %

25

Actual result is 100 % but due to FE Backlog 80.28 %

14

Drop out due to FE backlog

List of 5 toppers of students

Sr. No.

Name of Student

CGPA

1

Wagh Aryan Anil

9.05

2

Auti Nikita Namdev

8.82

Chavan Pruthviraj Subhash

8.82

3

Jadhav Rohit Balasaheb

8.70

4

Deshmukh Sangram Pandit

8.48

HOD Technical Director

Department of AIML Engg. SREI’S Rajuri.

List of Papers published by faculties:View

This is Departmental blog which having all notes , PPT, Video Lecture.

Click Here

ARDUINO PROJECT ACTIVITY

Our department recently conducted an engaging Arduino project activity, where students showcased their innovative skills and creativity. Participants collaborated to design and implement various projects, demonstrating the versatility of Arduino technology in solving real-world problems.

The event not only fostered teamwork and critical thinking but also provided hands-on experience in coding, electronics, and project management. Students presented their projects, sharing insights into their design processes and the challenges they overcame.

This activity highlights our commitment to practical learning and empowers students to explore their interests in technology and engineering.


TREE PLANTATION

Tree Plantation Activity:

We’re excited to share that our recent tree plantation initiative has been a great success! With the support of our Samarth College of engineering and management, we’ve planted over 50 trees in our college green spaces. This effort not only enhances our environment but also contributes to biodiversity and improves air quality.

Goals of the Initiative:

Our primary objectives were to:

  1. Increase Green Cover: By planting trees, we aim to boost the green cover in our area, which is crucial for improving air quality, reducing urban heat, and enhancing overall aesthetics.
  2. Promote Biodiversity: Trees provide habitats for various species, contributing to the local biodiversity and creating a balanced ecosystem.
  3. Community Involvement: Engaging students in the tree planting process helps instill a sense of responsibility towards the environment.
  4. Educational Outreach: We sought to raise awareness about the importance of trees in our lives and the role they play in combating climate change.

Looking Ahead:

As we move forward, our commitment to tree plantation and environmental stewardship remains strong. We encourage everyone to:

  • Get Involved: Join us for future planting events and volunteer opportunities.
  • Care for the Trees: Adopt a tree program allows students to take responsibility for the care and monitoring of the newly planted trees.
  • Spread the Word: Share information about the importance of trees and advocate for more green initiatives in our area.

Join us in celebrating this milestone and stay tuned for upcoming planting events. Together, we can make a difference for a greener future!


Waste Management and Cleaning Activity

Waste Management and Cleaning Activity:

Introduction

At Samarth College of Engineering and Management Department of AIML, we believe that effective waste management and community cleaning are vital for maintaining a healthy and sustainable environment. Our recent initiative, launched on Friday, aimed to tackle waste issues in our community while promoting cleanliness and environmental responsibility among residents.

Achievements:

Our initiative has made significant strides towards a cleaner and more sustainable community:

  • Waste Reduction: We successfully reduced the amount of litter in our area demonstrating the impact of community engagement.
  • Increased Recycling: Following our workshops, we saw an increase in recycling participation, with community members committing to better waste segregation practices.
  • Community Engagement: Over 74 students participated in the cleanup event, showing a strong commitment to improving our environment.

Get Involved:

  • Volunteer: Participate in upcoming cleanup events and workshops. Every pair of hands makes a difference!
  • Spread the Word: Share information about waste management practices with friends and family to encourage more people to take action.
  • Commit to Change: Make a personal pledge to reduce waste, recycle, and participate in community efforts.

Together, we can create a cleaner, healthier environment for everyone. Thank you to all who participated in our initiative and contributed to its success. Stay tuned for more updates and opportunities to get involved in making our Samarth College of engineering and management at better place!