G H Raisoni Institute of Business Management, Jalgaon

An Autonomous Institute & Affiliated to Kavayitri Bahinabai Chaudhari North Maharashtra University Jalgaon

NAAC Accredited Grade "A" with CGPA 3.09”

DTE Code : 5152

About Department

B.Tech. in Artificial Intelligence is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence.

This specialisation is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualisation technologies. The main goal of artificial intelligence (AI) and machine learning is to program computers to use example data or experience to solve a given problem. Many successful applications based on machine learning exist already, including systems that analyze past sales data to predict customer behaviour (financial management), recognize faces or spoken speech, optimize robot behaviour so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.

This programme discusses AI methods based in different fields, including neural networks, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions.

HOD Profile

Prof. Sonal Pramod Patil has a wide experience of teaching more than a decade. She has done her BE, MTech and currently pursuing PhD from SVNIT, Surat. She has received many awards at national and state level. Her area of specialization is Image processing, Video processing, Data warehousing and mining, Machine Learning. She has published many research papers in reputed journals at National and International Levels. Also presented many papers in National and International conferences.

Prof. Sonal Patil
Prof. Sonal Patil

sonal.patil@raisoni.net

8087493893

Vision

  • To Achieve excellent standards of quality-education by using the latest tools, nurturing collaborative culture and disseminating customer oriented innovations to relevant areas of academia and industry towards serving the greater cause of society.

Mission

  • To develop professionals who are skilled in the area of Artificial Intelligence.To impart quality and value based education and contribute towards the innovation of computing, expert system, Data Science to raise satisfaction level of all stakeholders.
  • Our effort is to apply new advancements in high performance computing hardware and software.

Programme Objectives

The Program Educational Objectives of the Artificial Intelligence and Machine Learning Under graduate program are designed to produce knowledgeable Machine Learning engineers who are ready to contribute effectively to the advancement of Intelligent Computing systems .The graduates shall:

  • PEO1: Apply analysis, predictions, optimization ,decision making and develop skills in order to formulate and solve complex Intelligent computing and multidisciplinary problems.
  • PEO2: Take up higher studies, research & development and other creative efforts in the area of Machine Learning.
  • PEO3: Use their skills in an ethical & professional manner to raise the satisfaction level of stake holders.

Program Outcomes

  • Engineering knowledge
  • Problem analysis
  • Design/development of solutions
  • Conduct investigations of complex problems
  • Modern tool usage
  • The engineer and society
  • Environment and sustainability
  • Ethics
  • Individual and team work
  • Communication
  • Project management and finance
  • Life-long learning

Eligibility

Syllabus

Syllabus
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