ARTIFICIAL INTELLIGENCE &
MACHINE LEARNING
Programme Overview
Artificial Intelligence & Machine Learning is the technology which enables a machine to simulate the human behaior and the field was founded on the assumption that the human intelligence can be so precisely described that a machine can be made to simulate it. The students of this course will develop base skills in programming, Operating System Software, Mobile Application Development, Artificial Intelligence Techniques, Machine Learning algorithms, Deep Learning Techniques, Natural languages Processing and Robotics Process Automation.
Artificial Intelligence & Machine Learning has fundamental, core & elective subjects where students will learn about Python, Machine Learning Algorithms, AI algorithms, Deep Learning, HADOOP, Natural Language Processing, Computer Vision etc. making the computer system think, act & work like human beings, how people interact how people think, reflect & respond.
The goal is to make a smart computer system like humans to solve complex problem within minimum time.
Career Opportunities
- Data Scientist
- Machine Learning Engineer
- Robotics Engineer
- Computer Vision Engineer
- Software Engineer
- Artificial Intelligence Researcher
- Game Programmer
- AI Gadgets Developer
- Others…
Programme Duration & Type
4 Years ( 8 Semesters )
Full Time
Eligibility Criteria
Candidates must have Passed thier 12th / PUC with Physics, Chemistry & Mathematics as compulsory Subjects from a recognised state/central education board.
Candidate must qualify in one of the following entrance exams:
AIEEE / JEE / CET / COMED-K
or any other equivalent entrance examination conducted by recognized Institution / Agency.
Programme Structure
Artificial Intelligence & Machine Learning | Syllabus
I / II Semester
- Math
- Physics
- Chemistry
- Elements of Electrical Engineering
- Elements of Electronics Engineering
- Element of Civil Engineering
- Element of mechanical & Workshop
- Element of Computer Engineering
- CAED
- Common Core
- Problem Solving Using Programming
III Semester
- Transform Calcus, Fourier Series & Numerical Techniques
- Data Structures And Applications
- Analog & Digital Electronics
- Computer Organization
- Software Engineering
- Discrete Mathematical Structures
- Analog & Digital Electronics Laboratory
- Data Structures Laboratory
IV Semester
- Complex Analysis, Probability & Statistical Methods
- Design And Analysis of Algorithms
- Operating Systems
- Microcontroller & Embedded Systems
- Object Oriented Concepts
- Data Communication
- Design & Analysis of Algorithm Laboratory
- Microcontroller & Embedded Systems Laboratory
V Semester
- Management & Enterpreneurship for IT Industry
- Automata Languages & Artificial Intelligence
- Sensors & Sensor Applications
- Machine Learning with Python
- Computer Graphics and Image Processing
- Database Management Systems
- AI & Machine Learning with Python Laboratory
- Database Laboratory
- Environmental Studies
VI Semester
- Advanced AI & ML Techniques
- Advanced Image Processing with Virtual Reality
- Web Applications using Machine Learning Techniques
- Professional Elective – I
- Open Elective – A
- Natural Language and Image Processing Laboratory
- Web Applications Laboratory
- Mini Project
- Intership
Professional Elective - I
- Advanced Computer Graphics with Virtual Reality
- Soft & Evolutionary Computing
- Decision Support System
- Cryptopgraphy and Network Security
- Data Mining and Warehousing
Open Elective A
- Introduction to Artificial Intelligence
- Introduction to Soft Computing
- Introduction to Web Technology
VII Semester
- Robotic Process Automation
- Internet of Things with Machine Learning
- Professional Elective – II
- Professional Elective – III
- Open Elective – B
- Mobile Application Development & Robotics Automation Laboratory
- Internet of Things Laboratory
- Intership
Professional Elective II
- Speech Processing
- Business Analytics
- Cognitive System
- Biometric System
- Mobile Application Development
Professional Elective - III
- Pervasive Computing
- Cloud Computing & Virtualization
- Human Computer Interaction
- Knowledge & Data Engineering
Open Elective - B
- Introduction to Business Intelligence
- Introduction to Cloud Computing
- Introduction to Biometrics System
VIII Semester
- Big Data & Its Applications
- Professional Elective – IV
- ProjectWork Phase – II
- Technical Seminar
- Intership
Professional Elective - IV
- Artificial Intelligence & Machine Learning in Healthcare
- System Modelling and Simulation
- Artificial Intelligence in Agriculture
- Multilayer Neural Networks & Deep Learning
