Module #1 Introduction to Advanced Embedded Systems Overview of advanced embedded systems, their applications, and design challenges
Module #2 Embedded System Architectures In-depth analysis of advanced embedded system architectures, including multicore, heterogeneous, and distributed systems
Module #3 Microcontrollers and System-on-Chip (SoC) Designs Exploration of advanced microcontrollers and SoC designs, including their features, advantages, and limitations
Module #4 Communication Protocols for Embedded Systems Study of advanced communication protocols, including wireless protocols, networking, and IoT communication protocols
Module #5 Real-Time Operating Systems (RTOS) for Embedded Systems Advanced topics in RTOS, including scheduling, synchronization, and resource management
Module #6 Low-Power Design Techniques for Embedded Systems Power optimization techniques for embedded systems, including power gating, dynamic voltage and frequency scaling
Module #7 Embedded System Security Advanced topics in embedded system security, including threat analysis, secure boot, and secure communication protocols
Module #8 Advanced Interfacing Techniques In-depth analysis of advanced interfacing techniques, including high-speed interfaces, wireless interfaces, and sensor interfaces
Module #9 Analog and Mixed-Signal Design for Embedded Systems Design of analog and mixed-signal circuits for embedded systems, including data converters, amplifiers, and filters
Module #10 Design for Testability (DFT) and Debugging Advanced techniques for design for testability, debugging, and fault diagnosis in embedded systems
Module #11 Model-Based Design and Verification for Embedded Systems Use of model-based design and verification techniques, including UML, SysML, and MATLAB/Simulink
Module #12 Advanced Topics in Digital Signal Processing (DSP) for Embedded Systems In-depth analysis of advanced DSP techniques, including filter design, transforms, and spectral analysis
Module #13 Machine Learning and Artificial Intelligence (AI) for Embedded Systems Introduction to machine learning and AI concepts, including neural networks, computer vision, and natural language processing
Module #14 Computer Vision and Image Processing for Embedded Systems Design of computer vision and image processing systems for embedded applications, including object detection and tracking
Module #15 FPGA-Based Embedded System Design Design of FPGA-based embedded systems, including VHDL, Verilog, and high-level synthesis
Module #16 Advanced Topics in Embedded System Programming Advanced programming techniques for embedded systems, including device drivers, firmware development, and bootloaders
Module #17 Wireless Communication Systems for IoT and M2M Applications Design of wireless communication systems for IoT and M2M applications, including Bluetooth, Wi-Fi, Zigbee, and LoRa
Module #18 Autonomous Systems and Robotics Design of autonomous systems and robotics, including navigation, control, and sensing
Module #19 Cyber-Physical Systems (CPS) and IoT Security Design of secure cyber-physical systems and IoT systems, including threat analysis, secure communication protocols, and authentication
Module #20 Advanced Topics in Human-Machine Interface (HMI) Design Design of advanced HMIs for embedded systems, including touchscreen, voice recognition, and gesture recognition
Module #21 Reliability, Availability, and Maintainability (RAM) Analysis for Embedded Systems RAM analysis for embedded systems, including fault tree analysis, FMEA, and reliability modeling
Module #22 Advanced Topics in Embedded System Testing and Validation Advanced techniques for testing and validation of embedded systems, including simulation, emulation, and verification
Module #23 Case Studies in Advanced Embedded System Design Real-world case studies of advanced embedded system design, including automotive, aerospace, medical, and consumer electronics
Module #24 Course Wrap-Up & Conclusion Planning next steps in Advanced Embedded System Design career
