ADYPSOE - AIDS
Hardware and Networks Lab
Hardware and Networks Lab
Software Lab
To improve the quality of teaching and learning process, the department has AI&DS enabled laboratories.
Sr. No. |
Name of Laboratory |
1 |
Project Lab |
2 |
Data Structures Lab |
3 |
Internet of Things Lab |
4 |
Artificial Intelligence Lab |
5 |
Programming Lab |
6 |
Machine Learning Lab |
Sr. No. |
Equipment |
Specifications |
1 |
Computer |
Windows 10 Pro, 22H2 Version Intel(R) Core (TM) i7-6700TE CPU @ 2.40GHz 2.40 GHz, 8.00 GB (7.88 GB usable) 64-bit operating system, x64-based processor |
2 |
Printer |
Canon, LBP 2900B, Printer |
3 |
Switch |
24 Port Switch 24 x 100 mbps +2 x 1000 Mbps |
Sr. No. |
Name of Laboratory |
Lab Number |
Numbers of Computers |
Cost in Rs. |
1 |
Machine Learning Lab |
306 |
29 |
Rs.10,50,766.28/- |
2 |
Programming Lab |
309 |
28 |
Rs.7.25,999.1/- |
3 |
Artificial Intelligence Lab |
310 |
29 |
Rs.7,41,203.74/- |
4 |
Internet of Things Lab |
313 |
25 |
Rs.8,34,632/- |
5 |
Data Structures Lab |
314 |
25 |
Rs.700,249/- |
6 |
Project Lab |
321 |
20 |
Rs.6,37,920.00/- |
HOD Profile

- Head of the Department : Prof. Mrs. Nita Rahul Pawar
It is a pleasure to lead the department of Computer Engineering. Computer Engineering is one of the latest branches of Engineering in modern era of technology. It is rapidly growing field with a wide range of job opportunities. The students of the computer engineering are highly demanded by the recruiters of the top companies. The department provides platform for the students to achieve their career goals.
The strength of the department is highly motivated students who understand the dynamics of the industry and upgrade their skills accordingly. The department organizes Workshops, Expert Lectures, Seminars, Industrial visits and extracurricular activities from time to time to provide our students and faculties to interact with their peers. Our students are trained to develop a balanced personality and will prove to be an invaluable asset to an organization.
Wishing all our students a brilliant and bright future
Computer Engineering (Diploma)

One of the fastest-growing career fields in the world, computer Engineering puts you at the forefront of the exciting and rapidly evolving world of technology.
Diploma in Computer Engineering course is all about the core concepts of computer science that includes the subjects such as networking, operation system, database, mobile computing etc. Diploma in Computer Engineering course is a 3-year diploma level course. The minimum eligibility for which is 10th schooling Or successful completion of the 10+2 level of education, in Science stream, and from a recognized educational Board.
The department of computer science started its journey in the year 2010 with an initial intake of 120 students to cater to the requirement of trained Engineers in the field of Computers.. The department has modern laboratories which are equipped with the latest computers, software and peripherals. The student to computer ratio is maintained at 1:1, with 24 X 7 internet facility and WiFi. We also boast of modern infrastructure facilities and beautiful ambience to support overall development of the stakeholders. Our aim is to create skillful Computer Engineers enthused with the soul of polished methodology and mindful responsibility.
To achieve this, we have competent, dedicated and highly motivated staff to train our students. Besides the regular classroom teaching, we conduct special training in soft skills programs (personality development, communication skills, group discussions, debate, etc.) .The Department is known for its excellent results in academics. The department has signed many MoUs with different organizations for the advanced programing languages.Our staff is motivated to carry out research work in varied fields like: Database, Data warehousing, Data Mining, Networking, Wireless Communication, Image Processing, Wireless Sensor Networks, Deep Learning, Internet of Things (IoT) etc.We expect our students to take the advantage of the facilities in the department, gain knowledge and excel in their chosen career.
Course | Year | Intake |
---|---|---|
B. E. in Artificial Intelligence and Data Science Engineering (AI and DS) | 2020-21 | 60 |
2021-22 | 120 | |
2022-23 | 180 | |
2023-24 | 180 | |
2024-25 | 180 |
Artificial Intelligence & Data Science
- Vision :-
- Empowerment through quality technical education
- Mission :-
- M1. To excel center of excellence in technical education.
- M2. To impart skill based education to meet the needs of industry and Society
- M3. To achieve excellence in teaching, learning and research
- Program Educational Outcomes (PEO):
- PEO1- To prepare globally competent graduates having strong fundamentals, domain knowledge, updated with modern technology to provide effective solutions for engineering problems.
- PEO2- To prepare the graduates to work as a committed professional with strong professional ethics and values, sense of responsibility, understanding of legal, safety, health, societal, cultural and environmental issues.
- PEO3- To prepare committed and motivated graduates with research attitude, lifelong learning, investigative approach, and multidisciplinary thinking.
- PEO4- To prepare the graduates with strong managerial and communication skills to work effectively as individuals as well as in teams.
- Program Specific Outcomes (PSO):
- PSO1-To prepare globally competent graduates having strong fundamentals, domain knowledge, updated with modern technology to provide effective solutions for engineering problems.
- PSO2- To prepare the graduates to work as a committed professional with strong professional ethics and values, sense of responsibility, understanding of legal, safety, health, societal, cultural and environmental issues.
- PSO3-To prepare committed and motivated graduates with research attitude, lifelong learning, investigative approach, and multidisciplinary thinking.
PO (Program Outcomes)
Semester-II
Course
PO1
Engineering knowledge: An ability to apply knowledge of mathematics, including discrete mathematics, statistics, science, computer science and engineering fundamentals to model the software application.
PO2
Problem analysis: An ability to design and conduct an experiment as well as interpret data, analyze complex algorithms, to produce meaningful conclusions and recommendations.
PO3
Design/development of solutions: An ability to design and development of software system, component, or process to meet desired needs, within realistic constraints such as economic, environmental, social, political, health & safety, manufacturability, and sustainability.
PO4
Conduct investigations of complex problems:An ability to use research based knowledge including analysis, design and development of algorithms for the solution of complex problems interpretation of data and synthesis of information to provide valid conclusion.
PO5
Modern tool usage: An ability to adapt current technologies and use modern IT tools, to design, formulate, implement and evaluate computer based system, process, by considering the computing needs, limits and constraints.
PO6
The engineer and society: An ability of reasoning about the contextual knowledge of the societal, health, safety, legal and cultural issues, consequent responsibilities relevant to IT practices.
PO7
Environment and sustainability: An ability to understand the impact of engineering solutions in a societal context and demonstrate knowledge of and the need for sustainable development.
PO8
Ethics: An ability to understand and commit to professional ethics and responsibilities and norms of IT practice.
PO9
Individual and team work : An ability to apply managerial skills by working effectively as an individual, as a member of a team, or as a leader of a team in multidisciplinary projects.
PO11
Communication: An ability to communicate effectively technical information in speech, presentation, and in written form
PO12
Life-long learning: An ability to recognize the need for, and have the ability to engage in independent and life-long learning.
Course Outcome
CO1
3
2
1
1
2
1
1
CO2
3
3
3
2
3
1
1
CO3
2
3
2
3
2
1
1
CO3
2
3
2
3
2
1
1
CO4
3
2
3
3
3
1
1
CO5
2
3
2
3
3
1
1
CO total
13
13
11
12
13
5
5
Computer Engineering Diploma - Teaching Faculty

Mrs. Nita Rahul Pawar
Lecturer

Mrs. Dipika Raju Pangudwale
Lecturer

Mrs.Shraddha Sunil Parve
Assistant Professor & ME Coordinator

Mrs.Maithili Shreedhar Patil
Lecturer

Mrs. Sumoli Lahu Vaje
Lecturer

Mrs Priya Borkar
Lecturer

Mrs Asmita Vishwas Jadhav
Lecturer

Mrs Asmita Vishwas Jadhav
Lecturer

Mrs Manisha Devanand Julme
Lecturer

Miss. Manasi Nafde
Lecturer

Mrs. Pooja Korake
Lecturer

Mr Saurabh Satyawan Dalvi
Lecturer