ADYPSOE - AIDS
HoD Profile
- Head of the Department : (Prof. Vaibhav Chavan)
Pursuit for Excellence. It is my great pleasure to welcome you to the Department of Artificial Intelligence and Machine Learning (AIML). ADYPSOE has a long-standing reputation in providing technical education. We are constantly reviewing our set up to update and improve while making sure that students gain thinking skills, interpersonal and communication skills and analytical frameworks which will be advantageous to them in the future.
AIML department faculties are working hard to improve upon the quality of education and the student’s overall performance in the era of rapidly changing technology. Apart from academic activities, the co-curricular activities- Sports/IEDSSA, Cultural Events and Social Service activities form a vital ingredient of the students grooming leading to their holistic personality development.
Our strength lies in our motivated students who understand the dynamic nature of AI and ML industries, constantly upgrading their skills. To support their growth, we regularly organize workshops, expert lectures, seminars, and industrial visits. These activities provide invaluable opportunities for students and faculty to engage with peers and stay updated with industry trends.
I wish that that the Institute will continue to leave its mark in the society by shaping the future of the youth of our country and transforming their potential into successful careers. Wishing all our students a brilliant and bright future.
Artificial Intelligence and Machine Learning (AIML)
Welcome to the Artificial Intelligence and Data Science Engineering Department of Ajeenkya D. Y. Patil School of Engineering, Charohli, Pune.
"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.
| 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 :-
- To create professionally competent Computer Engineers for the society.
- Mission :-
- M1. Educating budding Computer Engineers for industry, research organizations, and society.
- M2. To strive for excellence in different fields of Computer Engineering.
- M3. To nourish and nurture young intelligent minds to face intellectual challenges and succeed in life to become role models in the technical and social world.
- Program Educational Outcomes (PEO):
- PEO1- Graduates of the program will have problem solving ability using applicable programming skills and practices in software project development.
- PEO2- Graduates of the program will have the professional skills ability using advanced algorithmic technique with programming skill sets using various open source tools.
- PEO3- Graduates of the program will able to start innovative career paths in the field of computer engineering to be an entrepreneur.
- Program Specific Outcomes (PSO):
- PSO1-To prepare globally competent graduates having strong fundamentals, domain knowledge, updated with modern technology to provide the effective solutions for engineering problems.
- PSO2- To prepare the graduates to work as a committed professional with strong professional ethics and values, sense of responsibilities, 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.
- PSO3-To prepare the graduates with strong managerial and communication skills to work effectively as individual as well as in teams
Course Outcome
Semester-II
Course
CO1
Understand the basic concepts of machine learning and its applications.
CO2
Apply supervised and unsupervised learning algorithms to solve problems.
CO3
Evaluate the performance of machine learning models using appropriate metrics.
CO4
Use Python libraries (e.g., Scikit-learn, TensorFlow) to implement machine learning models.
CO5
Analyze real-world datasets and preprocess them for machine learning tasks.
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
AIML Diploma - Teaching Faculty
Prof. Mayuri Narudkar
HOD & Lecturer
Vaibhav Chavan
Lecturer
Miss. Dhanshri Patil
Assistant Professor & ME Coordinator
Ms. Rupali Arvind Padhar
Assistant Professor & ME Coordinator
Ms. Manasi Patil
Lecturer
Mr. Suhas Doke
Lecturer
Mr. Sanket Sontakke
Lecturerr
Ms. Payal Patil
Lecturer
Ms. Lakshmi Rathod
Lecturer
Ms. Charmi H. K.
Lecturer
Ms. Rutuja Lokhande
Lecturer