IGNOU MSc AI & ML study hub

Mathematical Foundations - I

Set, relations and functions, progressions, matrices and determinants, linear spaces and counting techniques and calculus.

Data Structures and Algorithms

Algorithms and data structures, stacks, queues and trees, graph algorithms and searching techniques and file structures and advanced data structures.

Artificial Intelligence

Artificial intelligence, artificial Intelligence-Knowledge representation, artificial Intelligence-Decision making and implementation and applications of AI.

Programming Using Python

Python programming, Object-Oriented programming in Python and GUI and database connections in Python.

Data Structures and Algorithms Lab

Hands-on practicals for Data Structures and Algorithms.

Programming & AI Lab

Hands-on practicals for Programming & AI.

Mathematical Foundations - II

Descriptive statistics, probability and distributions, parameter estimation and hypothesis testing and analysing data and optimisation.

Machine Learning

Pattern Recognition

Database Management Systems

Basic concepts, database normalisation and database query, database transactions and query processing and advanced database models.

Machine Learning and Pattern Recognition Lab

Hands-on practicals for Machine Learning and Pattern Recognition.

Database Management Systems Lab

Hands-on practicals for Database Management Systems.

Deep Learning

Digital Image Processing and Computer Vision

Image enhancement, filtering, segmentation and recognising objects in images.

Natural Language Processing

Cloud Computing & IOT

Cloud service models, virtualisation, and how the Internet of Things works.

Deep Learning Lab

Hands-on practicals for Deep Learning.

Digital Image Processing and Computer Vision Lab

Hands-on practicals for Digital Image Processing and Computer Vision.

Soft Computing

Reinforcement Learning

Project Work

Your project: proposal, building it, and the final report and viva.