The use of Reverse Engineering concepts and methodology, practical case studies and class projects, multi-level sub systems (electronic, mechanical, and computer) analysis skills are essential for mechatronics engineers.

Introduction to automotive mechatronics, sensors and actuators of automotive control systems, Engine control systems- steering and suspension systems, drive by wire and enhanced stability control, safety and comfort systems, electric and hybrid cars, self-driving cars- simulation of self-driving car.

Introduction to anatomy and biomechatronic, methods of motion capturing and analysis, Prosthetics, actuators for exoskeletons, control of mobility assistance devices, rehabilitation robotics, medical electronics and E-health.

An introduction to the theory and practice of computer vision, Image processing concepts: Image formation, Image transforms, Image filtering, mathematical morphology, Image segmentation, image features. Pattern recognition, Object detection and tracking: Application in modern mechatronics systems and robotics areas.

Tools needed for designing smart autonomous systems, Intelligent solutions for self-driving cars, multi modal sensing and sensor fusion, mapping, object detection, prediction, path planning, reinforcement learning, and Robotic Operating System.

Various concepts and components of autonomous systems, mobile robotics, locomotion, mobile robot kinematics, perception, localization, path and trajectory planning, perception and navigation, control of autonomous vehicles, and aerial robots, Autonomous system components include various types of sensors and actuators, state-of-the-art technologies.

DC amplifiers, Darlington Emitter Follower, regulated power Supplies, principles of operation and characteristics of SCR, triggering of thyristors, commutation techniques of thyristors, Fundamentals of electric drives, separately excited dc motor drives using controlled rectifiers, chopper-controlled dc drives, ac voltage controllers, three phase induction motor speed control, VSI and CSI fed

Networks Hierarchy And Switching, Open System Interconnection Model Of ISO, Data Link Control Protocol, Media Access Protocol, Command / Response, Token Passing, TCP/IP; Bridges, Routers, Gateways, Standard ETHERNET; Industrial Ethernet and wireless communication,10 Mbps Ethernet, 100 Mbps Ethernet, Radio And Wireless Communication; RS 232, RS 485 Configuration Actuator Sensor (AS); Fieldbus

Architectural Features of Micro Controllers, The Instruction Set, Instruction format, addressing modes, Interfacing of memory devices, Memory Mapping, Data transfer techniques and I/O ports, Timers; Counters, Programmable Interrupt and DMA controllers, I2C Interface, General Purpose Input Output (GPIO), Interfacing of keyboard and display devices, Interfacing of sensors, transducers, actuators, A

Introduction to MEMS technology, Benefits of Miniaturization, Fabrication technologies for MEMS (surface, bulk micromachining, and LIGA). MEMS Material. Basic sensing and actuation principles. Microsystems Design, MEMS packaging, assembly and testing. Clean Rooms and its instruments. Case study.

Introduction to digital (discrete time) control system: Principle features of discrete time control, Signal sampling, Reconstruction of original signal from sampled signal (Zero/First order hold); Advantageous of digital control; structure of digital control systems, closedloop performance; stability of digital control system; Digital PID control design; Pole placement digital control (Continuous

State-space analysis, Linear systems with multiple eigenvalues, Nonlinear state-space representation, Linearization and Jacobian matrices, stability, System controllability and observability, Decomposition of system into controllable and uncontrollable parts, State feedback and state observers, design of pole assignment control with state and with output feedback. Introduction to advanced control

An overview of artificial intelligence methods, (artificial neural networks (ANN), fuzzy systems, genetic algorithms), artificial intelligence methods-based classification and recognition techniques, principles of nonlinear systems identification and control, Adaptive control systems, Structures of ANN and training algorithms, ANN-based identification of nonlinear systems, ANN-based control of

Maintenance Systems performance measures and analysis, types of equipment, scheduled, preventive, and predictive maintenance, scheduling and control of maintenance operations, equipment safety and reliability, inventory management and cost of maintenance

Maintenance Policies, Impact, Benefits and Effects of Maintenance, Principles of Maintenance, Organization and Management of the Maintenance Function, The importance of an overall maintenance strategy, Operating Policies of Effective Maintenance, Maintenance management methods, Performance Measurement and Management, Development of Maintenance Engineering Practices, Maintenance Equipment and

Performance of gas power cycles, vapor power cycles, the mixture theory.