The course focuses on how to implement complex, finite-state machines using stateflow and creating a model based design using simulink. The course gives an understanding about the operation performed on different images and signals using image processing and signal processing toolbox. The course also provides information on how to create, train, visualize and simulate neural networks as well as design and simulate fuzzy logic systems.
The Real time applications plays a very important role.This course gives exposure to the students to work on different hardwares like Arduino, Raspberry Pi, Android sensors, UART and IoT based applications.
This course gives guidance on the key features of widely used toolboxes in simulink, helps to transform concepts to a complete model, verifyies and evaluates the system behaviour in different user environments.
It also allows the attendees to explore the more advanced features of MATLAB like simulink modelling, Internet of Things (IOT), HDL coder and Various hardware interfacing with MATLAB in a unified manner and help learners 'future-proof' themselves and remain relevant for the rapidly evolving technology from an industryial perspective.