BCA Artificial Intelligence and Machine Learning

Teacher
St. Peter’s
Category:
Artificial Intelligence, Machine Learning

The field of Artificial Intelligence and Machine Learning is devoted to the creation of software and hardware that enables computers to do ‘intelligent’ things as if humans did them after due thinking and reasoning. Industries have started applying many research discoveries in this field and have made and saved millions. Challenges previously thought unsolvable are now getting cracked with sophisticated AI technology.

The BCA Artificial Intelligence and Machine Learning programme offered by St.Peter’s Institute of Higher Education and Research in association with iNurture Education Solutions aims to build in students the theoretical foundations and practical skills of Artificial Intelligence and Machine Learning to face the new world of digital disruption and transformation.

Programme Objectives:

  • Prepare graduates to become successful Artificial Intelligence and Machine Learning Experts and Lead Process enablers who are competent, innovative and productive in addressing the needs of the Industry, Society and/or pursue higher education and research & development.
  • Prepare graduates who grow professionally with their knowledge and skills and develop a passion for lifelong learning.
  • Prepare graduates who demonstrate high standards of ethical conduct, positive attitude and societal responsibilities.

Curriculum*

*Courses are subject to change as per BoS

Semester 1

  • Communicative English-I
  • Effective Speaking & Analytical Skills I
  • Elementary Mathematics
  • Computer Fundamentals & Organization
  • Introduction to C Programming
  • Web Technology
  • Cloud Computing Services and Models

Semester 2

  • Communicative English ll
  • Effective Speaking & Analytical Skills ll
  • Reasoning and Thinking I
  • Data Structures and Algorithms Object Oriented
  • Programming in Java
  • Relational Database Management System
  • Foundation Course (Artificial Intelligence)
  • Mobile Device and Network Architecture

Semester 3

  • Reasoning and Thinking – II
  • Operating Systems
  • Computer Networks
  • Inferential Statistics
  • Employability Skills Programme- I
  • Beginner Level (Artificial Intelligence)
  • IoT Systems and Design

Semester 4

  • Environmental Studies
  • Digital Image Processing
  • Machine Learning
  • Research Paper Writing
  • Ethics of Intellectual Properties
  • Employability Skills Programme- II
  • Intermediate Level (Artificial Intelligence)
  • Cybersecurity Fundamentals

Semester 5

  • Natural Language Processing
  • Data Analytics using SQL
  • Professional Effectiveness
  • Data Studio
  • Employability Enablement Programme
  • Advanced Level (Artificial Intelligence)
  • Mini Project Bigdata Fundamentals

Semester 6

  • Computer Vision
  • Speech Processing
  • Industrial Artificial Intelligence
  • Simulated Apprenticeship Programme / Internship Programme

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Enrolled: 5 students
Duration: 3 Years | Full-time