Saraswati College of Engineering

Saraswati College of Engineering institution in Navi Mumbai

NAAC A+ Accredited

NBA Accredited 2 UG Programs

Admission Contact

9320299474
9320299475

Email id

Admissions: admissions.scoe@sce.edu.in Registrar: registrarsaraswati@gmail.com Exam Cell: examcell.scoe@gmail.com

Computer Science and Engineering
(Artificial Intelligence and Machine Learning)

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 produce quality Engineering graduates by imparting quality training, hands on
experience and value education”

Mission

  • To produce quality Engineering graduates by imparting quality training, hands on experience and value education.

  • To pursue research and new technologies in Computer Science Engineering and across interdisciplinary areas that extend the scope of Computer Engineering and benefit humanity.

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 Mathematica, Science and engineering fundamentals to solve complex Artificial Intelligence problems.

  • Investigate complex Artificial Intelligence problems to find appropriate solutions leading to valid conclusions.

  • Identify, formulate and analyze data analysis problems and derive conclusion using first principle of mathematics, engineering science and computer scienc

  • Design an Artificial Intelligence model, process to meet specified needs with appropriate attention to health and safety standards, environmental and societal consideration.

  • Create, select and apply appropriate techniques, resources and advance engineering software to analyze tools and design for Artificial Intelligence problems.

  • Understand the impact of artificial intelligence solutions on society and the environment for sustainable development.

  • Understand societal, health, safety, cultural, legal issues and responsibilities.

  • Apply professional ethics, accountability and equity in the engineering profession.

  • Work effectively as a member and leader in a 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 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

NewsLetters

Volume:01

Volume:02

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
6
Web Computing Lab )

Internship

Sr.No Years
1
2022-23

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

-