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"Incorporate the Disciplines of AI/ML at AMC"

@ AMC INSTITUTIONS

BE Artificial Intelligence/Machine Learning


Course Structure


Semester I

Semester II

Semester III

  • Transform Calculus, Fourier Series And Numerical Techniques
  • Data Structures and Applications
  • Analog and Digital Electronics
  • Computer Organization
  • Software Engineering
  • Discrete Mathematical Structures
  • Data Structures Laboratory
  • Analog and digital electronics lab
  • Vyavaharika Kannada (Kannada for communication)/ Aadalitha Kannada (Kannada for Administration)
  • Constitution of India, Professional Ethics and Cyber Law

Semester IV

  • Complex Analysis, Probability and Statistical Methods
  • Design and Analysis of Algorithms
  • Operating Systems
  • Microcontroller and Embedded Systems
  • Object Oriented Concepts
  • Data Communication
  • Design and Analysis of Algorithm Laboratory
  • Microcontroller and Embedded Systems Laboratory
  • Vyavaharika Kannada (Kannada for communication)/ Aadalitha Kannada (Kannada for Administration)
  • Constitution of India, Professional Ethics and Cyber Law

Semester V

  • Management and Entrepreneurship for IT Industry
  • Automata Languages and Artificial Intelligence
  • Sensors and Sensor Applications
  • Machine Learning with Python
  • Computer Graphics and Image Processing
  • Database Management Systems
  • AI and Machine Learning with Python Laboratory
  • Database Laboratory
  • Environmental Studies

Semester VI

  • Advanced AI and ML techniques
  • Advanced Image Processing with Virtual Reality
  • Web applications using Machine Learning Techniques
  • Professional Elective -1
  • Open Elective –A
  • Natural Language and Image Processing Laboratory
  • Web applications Laboratory
  • Mini-project
  • Internship

Semester VII

  • Robotic Process Automation
  • Internet of Things with Machine Learning
  • Professional Elective – 2
  • Professional Elective – 3
  • Open Elective –B
  • Mobile Application development & Robotics automation Laboratory
  • Internet of Things Laboratory
  • Project Work Phase - 1
  • Internship

Semester VIII

  • Big Data andits applications
  • Professional Elective – 4
  • Project Work Phase – 2
  • Technical Seminar
  • Internship

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