INTRODUCTION

VISION & MISSION

Vision

To be the fore frontier in the field of computer education by producing competent professionals to lead in their fields.

Mission

College is committed to provide collaborative environment for wholesome education.

To enrich students with skills and competencies so as to lead the industry by outstanding contributions through technical expertise.

HOD MESSAGE

The Department of Computer Science was established with the vision of providing high-quality education to undergraduate students, preparing them to contribute effectively to both the IT industry and society. Our primary mission is to continually strive for excellence in the field of computing, fostering an environment that supports innovation, learning, and growth.

The curriculum we offer is designed to be in alignment with the latest trends in technology, ensuring that our students acquire the essential skills and knowledge required to thrive in higher education, the IT industry, research, and entrepreneurship. By bridging academic learning with industry needs, we equip our students with the tools and mindset necessary to excel in a rapidly evolving digital world.

Our department remains dedicated to providing not only technical expertise but also the soft skills and ethical values that are essential for shaping well-rounded professionals who can lead with integrity and innovation.

Prof.N.M.Gawade

Head Of Department Computer Science

PEO PSO PO

Course Outcomes

CO for Introduction to Programming (C Programming):
- CO1: Understand the fundamentals of programming languages and syntax, including data types, operators, and control structures.
- CO2: Write, compile, and debug simple C programs to solve basic computational problems.
CO for Data Structures:
- CO1: Implement and manipulate basic data structures like arrays, stacks, queues, and linked lists.
- CO2: Analyze and apply appropriate algorithms for searching, sorting, and traversal.
CO for Database Management Systems:
- CO1: Master SQL queries for database creation, manipulation, and data retrieval.
- CO2: Understand the fundamentals of databases, database models, and the role of DBMS in data management.
CO for Operating Systems:
- CO1: Understand the role and functions of an operating system in managing hardware and software resources.
- CO2: Analyze and implement techniques for process synchronization, deadlock detection, and resource allocation.
CO for Software Engineering:
- CO1: Understand the principles of software engineering, including software development life cycles and methodologies.
- CO2: Apply software development best practices such as version control, testing, debugging, and documentation.

Program Specific Outcomes (PSO)

PSO1: Graduates are prepared to be part of IT industries having expected domain knowledge.

PSO2: Graduates are provided with practical experiences, hands-on Sessions and project experience to consummate the industrial needs.

PSO3: Graduates are trained to demonstrate creativity, develop innovative ideas.

Program Outcomes (POs)

At the end of the B. SC Computer Science Program, graduates will be able to

PO1: Graduates will have a strong foundation in the principles of mathematics, science, and engineering, enabling them to solve complex computer science problems.

PO2: Graduates will be able to identify, formulate, and analyze complex computing problems, applying appropriate principles of computer science to develop effective solutions.

PO3: Graduates will be capable of designing and developing software, systems, or applications that meet specified requirements and constraints using modern tools and techniques.

PO4: Graduates will possess strong critical thinking skills and be able to analyze problems from various perspectives, applying logical reasoning and computational methods to solve them effectively.

PO5: Graduates will be skilled in designing computing solutions that prioritize user experience, usability, and accessibility, ensuring the solutions meet user needs and expectations.

PO6: Graduates will be familiar with the principles of artificial intelligence and machine learning and will be able to apply these techniques to solve problems in areas like data analysis, automation, and intelligent system design.

PO7: Graduates will be capable of taking on leadership roles, effectively managing teams, and communicating technical ideas clearly and confidently in various professional settings.

FACULTY

Faculty Member

Sr.no	Name	Designation	Profile
1	Prof. Shelake Shubham Dnyaneshwar	Head & Asst. Professor	Profile
2	Prof. Rashmi Santosh Dumbre	Asst. Professor	Profile
3	Thorat Prajakta Tanaji	Asst. Professor	Profile
4	Assi. Prof. Shelar Swapnali Abhijeet	Assistant Professor	Profile
5	Bramhane Priyanka Sandip	Assistant Professor	Profile
6	Prof. Chaudhari V.S.	Asst. Professor	Profile
7	Prof. Nawale Swapnil Kisan	Assistant Professor	Profile
8	Gulve Akanksha Babasaheb	Assistant Professor	Profile
9	Kale Ajay Sanjay	Assistant Professor	Profile
10	Varhadi Vaishnavi Sharad	Assistant Professor	Profile

ACADEMICS

Question Paper

Sr.No.	Program Name	Action
1	BCS	View

BROCHURE

Academic Year: 2021 - 2022
College Name: [Your College Name]
Affiliation: MSBTE | AICTE Approved
Contact: +91 98765 43210
Email: admissions@yourcollege.edu.in

About the Brochure

Our official diploma college brochure for the academic year **2021-22** provides detailed information about our **programs, faculty, infrastructure, student life, and placement opportunities**. Whether you're a prospective student or parent, explore everything our institution has to offer.

What’s Inside?

Diploma Courses Offered
Infrastructure & Facilities
Academic Excellence & Faculty
Placement & Career Opportunities
Admission Process & Eligibility
Student Life & Extracurricular Activities

50+
Experienced Faculty Members
5000+
Students Enrolled
90%
Placement Success Rate

View Notice

LABORATORIES

An Engineering Physics Lab is a dedicated space where engineering students conduct hands-on experiments to gain a practical understanding of fundamental physics concepts, directly applying them to engineering principles through experiments like measuring refractive index, analyzing diffraction patterns, studying electrical properties of materials, and investigating thermal phenomena, all while developing essential data analysis and experimental skills.

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. Stay tuned for more updates on our upcoming events and projects!

Lab Details

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

Software Lab I

Lab No.	228
Lab Name	Data Analytics
Equipment’s	Lenovo Desktop Computer core i3, 24 port D-Link, 1026 Switch Rack 2U
Software Installed	OS Ubuntu, Python, Jupyter Notebook, GCC, C++, MongoDB, Postman

Data Analytics

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

Software Lab 2

Lab No.	243
Lab Name	IOT
Equipment’s	Lenovo Desktop Computer core i3, 24 port D-Link, 1026 Switch Rack 2U
Software Installed	OS Windows, Arduino IDE, Tinkercad
Hardware	Arduino Board, Bread Board, Jumpers Wires, Resistors, LED, Push Buttons, Potentiometers, Servo Motor, Buzzer, DC Motor, Transistors, Diodes, Capacitors, Sensors, LCD Display, Power Supply

IOT

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 Installed	OS Ubuntu, G-edit, GCC, C++, Python, Jupyter Notebook, JDK, MongoDB

Programming Lab

STUDENT PROJECT

Explore the innovative projects created by our talented diploma students. From software development to mechanical prototypes, our students excel in real-world applications.

1. To impart high-quality technical education and training that enables students to acquire in-depth knowledge and expertise in the field of pharmaceutical sciences to cater for the needs of the pharmacy profession and society at large.

2. To provide professional and interpersonal skills in students by providing a healthy and competitive environment.

Categories of Student Projects

Explore innovative projects categorized by department and technology.

E-Learning Platform

A web-based learning portal students.

Software & Web

Smart Home Automation

Control home appliances using IoT.

IoT & Embedded

Autonomous Delivery Robot

A robot designed for campus deliveries.

Robotics & Automation

Hybrid Vehicle Design

An innovative fuel-efficient vehicle model.

Mechanical Design

Earthquake Resistant Building

A structural model for earthquake safety.

Civil Engineering

Earthquake Resistant Building

A structural model for earthquake.

Civil Engineering

ALUMNI

To establish a strong and engaged alumni network that fosters lifelong connections, professional growth, and meaningful contributions to society.

1. To create a platform for alumni to connect, collaborate, and share experiences that contribute to the growth of both individuals and the institution.

2. To support alumni in their professional journeys by providing networking opportunities, mentorship programs, and career development resources.

RESULT

SR.NO.	DEPARTMENT NAME	DOCUMENT
1	BCS Result	View

PUBLICATIONS

ACTIVITIES

Artificial Intelligent and Machine Learning

Sr.No.	Activity Name	Action
1	Arduino Project Activity	View
2	Tree Plantation	View
3	Waste Management and Cleaning Activities	View

BSC - CS

INTRODUCTION

VISION & MISSION

Vision

Mission

HOD MESSAGE

PEO PSO PO

Course Outcomes

Program Specific Outcomes (PSO)

Program Outcomes (POs)

FACULTY

Faculty Member

ACADEMICS

Question Paper

BROCHURE

About the Brochure

What’s Inside?

NOTICE BOARD

LABORATORIES

Lab Details

STUDENT PROJECT

Categories of Student Projects

E-Learning Platform

Smart Home Automation

Autonomous Delivery Robot

Hybrid Vehicle Design

Earthquake Resistant Building

Earthquake Resistant Building

ALUMNI

RESULT

PUBLICATIONS

Published Research Papers by AIML Department

Email detection and prevention using machine learning

Simulation & implementation of Wireless Routing Protocol

Simulation & Performance Analysis of MANET Routing Protocol

Navigation Assistant For Blind People

Secret Sharing Schema for QR Code Application

Novel Approach for Secret Sharing Schema for QR Code Applications - A Review

A Survey On Navigation Assistant For Blind People

Automation in Social Media Comments with Robust Fast-Text and CNN

Online Detection of Child Grooming Conversation

Social Media Threats: Detection and Preventive Measures

Non-changeable Document using Blockchain

Drone Detection and Identification Using Artificial Intelligence

ACTIVITIES

Artificial Intelligent and Machine Learning