Introduction to Course: Embedded Systems. Introducing embedded software development environment (Keil C Compiler and hardware simulator). Embedded microcontroller.
Hardware Fundamentals & Computer Architecture Review. (Embedded terminology, Gates, Clocks, Timing Diagrams, Buses, Registers, Memory, RISC, CISC, MIPS, CPU clock cycle etc.). Object Oriented Programming with C. Meeting real-time constraints, hardware delays and Interrupts.
GPIO: Digital Input, Output and Displays, ADC & DAC. Interrupts and Times. Creating an embedded operating system. Implementing Multi-state Systems. Communication: Serial RS232, SPI, I2C, CAN, Wireless etc. |
Week |
Subject |
Related Preparation |
1) |
Introduction to Course: Embedded Systems. Introducing embedded software development environment (Compiler and hardware simulator). |
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2) |
Embedded microcontroller architecture. Lab: Exercises for AtMega328 microcontroller. |
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3) |
Hardware Fundamentals & Computer Architecture Review. (Embedded terminology, Gates, Clocks, Timing Diagrams, Buses, Registers, Memory, RISC, CISC, MIPS, CPU clock cycle etc.) |
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4) |
Digital input/output |
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5) |
Analog Input/output |
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6) |
Meeting real-time constraints, hardware delays and Interrupts. |
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7) |
Interrupts and Timers and interrupt service routines |
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8) |
Driving actuators |
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9) |
Communication: Serial RS232, SPI, I2C, CAN, Wireless etc. I |
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10) |
Communication: Serial RS232, SPI, I2C, CAN - II |
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11) |
Sensors & actuators I |
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12) |
Sensors & actuators II |
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13) |
Real Time Operating Systems |
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14) |
Project Presentations. |
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Program Outcomes |
Level of Contribution |
1) |
Build up a body of knowledge in mathematics, science and Artificial Intelligence Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. |
5 |
2) |
Design complex Artificial Intelligence systems, platforms, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. |
5 |
3) |
Identify, formulate, and solve complex Artificial Intelligence Engineering problems; select and apply proper modeling and analysis methods for this purpose. |
3 |
4) |
Devise, select, and use modern techniques and tools needed for solving complex problems in Artificial Intelligence Engineering practice; employ information technologies effectively. |
3 |
5) |
Design and conduct numerical or physical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Artificial Intelligence Engineering. |
4 |
6) |
Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions. |
4 |
7) |
Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. |
4 |
8) |
Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Artificial Intelligence Engineering applications. |
3 |
9) |
Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. |
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10) |
Acquire knowledge about the effects of practices of Artificial Intelligence Engineering on health, environment, security in universal and social scope, and the contemporary problems of Artificial Intelligence Engineering; is aware of the legal consequences of Mechatronics engineering solutions. |
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11) |
Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Artificial Intelligence-related problems. |
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