Computer Science and Engineering(Artificial Intelligence and Machine Learning)

Computer Science and Engineering
(Artificial Intelligence and Machine Learning)

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Comp. Science and Engg-AI & ML Overview

It is Specific area of Computer Science.AI& ML is being used from small scale industry to MNCs.It helps students to learn foundational and experimental components of AI and ML. Computer Science and AI go hand in hand towards creating developments in AI and ML.It is 4 years UG program and includes subjects like Computer Science, Maths and Statistics, AI, ML, Natural Language Processing, Neural Network, Computer Vision, Python programming etc.AI & ML has become an integral part of life. Healthcare Private/Public sector.
(a) Education
(b) Government
(c) Agriculture
AI is been used everywhere from driving car to listening to music.AI and ML has ample of opportunities in :
It has Awarding Career Path .In MNCs, AI and ML engineers can work as ML architect, AI algorithm Specialist, AI Architect, Research Engineering, Software Engineer, AI consultant.

Vision

“To be among renowned institution in computer engineering education and research by developing globally competent graduates.”

Mission

To produce eminent Engineering graduates by imparting quality teaching learning and providing hands on experience in programming to fulfill society and industry needs.
To pursue research and new technologies in Computer Science Engineering and across interdisciplinary areas that extends the scope of Computer Engineering and benefit humanity.
To provide stimulating learning ambience to enhance innovative ideas, problem solving ability, leadership qualities, team-spirit and ethical responsibilities

Programme Educational Objectives

To apply statistical data analysis, Artificial Intelligence and Machine Learning techniques to effectively solve real-world problems.
To motivate & prepare students for lifelong learning and research to manifest global competitiveness.
To equip students with communication, team work and leadership skills to accept challenges in all facets of life ethically.

Programme Outcome

At the end of the program, a student will be able to

Apply the knowledge of Mathematics, Science and Engineering Fundamentals to solve complex Computer Engineering Problems.
Identify, formulate and analyze Computer Engineering Problems and derive conclusion using First Principle of Mathematics, Engineering Science and Computer Science.
Investigate Complex Computer Engineering problems to find appropriate solution leading to valid conclusion.
Design a software System, components, Process to meet specified needs with appropriate attention to health and Safety Standards, Environmental and Societal Considerations.
Create, select and apply appropriate techniques, resources and advance Engineering software to analyze tools and design for Computer Engineering Problems.
Understand the Impact of Computer Engineering solution on society and environment for Sustainable development.
Understand Societal, health, Safety, cultural, Legal issues and Responsibilities relevant to Engineering Profession.
Apply Professional ethics, accountability and equity in Engineering Profession.
Work Effectively as a member and leader in multidisciplinary team for a common goal.
Communicate Effectively within a Profession and Society at large.
Appropriately incorporate principles of Management and Finance in one’s own Work.
Identify educational needs and engage in lifelong learning in a Changing World of Technology.

Programme Specific objectives

Identify, understand, formulate and analyse complex engineering problems in the field ofData Analysis, Big Data, Database Management, Predictive Analysis, Trends Identification and Identifying Business Insights.
Acquire, Store, Retrieve, Process and finally convert data into knowledge in the field of artificial intelligence, data mining, network management and security, and Internet of Things applicationsthrough use of secure, reliable and cost effective state of art Analysis tools efficiently.

COs

Lab

Sr.No	Laboratory Name
1	DIGITAL DESIGN LAB
2	COGNITIVE ARTIFICIAL INTELLIGENCE LAB
3	INNOVATIVE DEVELOPMENT LAB
4	DATABASE MACHINE LEARNING LAB
5	EXPLORATION LAB

Internship

Sr.No	Years
1	2022-23	Download

Faculty

Prof. Shraddha Subhedar

Head Of Department

Prof. Umesh Pinjarkar

Assistant Professor

Prof. Dinesh Singh Dhakad

Assistant Professor

Prof. Varsha Nawale

Assistant Professor

Prof. Rashmi Saratkar

Assistant Professor

Prof. Snehal Gavale

Assistant Professor

Prof. Amita Raman

Assistant Professor

Prof.Rajshri Narawade

Associate Professor

Prof. Yugandhara Gaware

Prof. Abhishek Chavan

Prof. Maya Bangar

NAAC A+ Accredited

Admission Contact

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NAAC A+ Accredited

Admission Contact

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NAAC A+ Accredited

Admission Contact

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