ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
CMP3010 Embedded Systems Programming Spring 2 2 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Must Course
Course Level: Bachelor
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi TARKAN AYDIN
Course Objectives: This course is a hands-on course that requires writing software as well as board-level work. It sits at the intersection of fields such as microprocessors, digital design, operating systems, software design, and industrial automation. The students are exposed to topics such as meeting real-time constraints in embedded systems, generating delays and interrupts, using the serial interface, etc. They get theoretical as well as hands-on experience on embedded system design by using embedded software development environments and hardware emulators, as well as by working on actual hardware where they physically connect multiple building blocks.

Learning Outputs

The students who have succeeded in this course;
A student completing this course will be able to
I. Develop embedded applications for consumer equipments,
II. Implement embedded solutions to solve automation systems,
III. Develop efficient code with C programming language for embedded target systems,
IV. Design and implement embedded systems with real time I/O requirements,
V. Implement embedded applications programming AtMega embedded microcontrollers,
VI. Determine the requirements of an embedded application and design/implement it on a selected target platform.

Course Content

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.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Course: Embedded Systems. Introducing embedded software development environment (Compiler and hardware simulator).
2) Embedded microcontroller architecture. Lab: Exercises for AtMega328 microcontroller.
3) Hardware Fundamentals & Computer Architecture Review. (Embedded terminology, Gates, Clocks, Timing Diagrams, Buses, Registers, Memory, RISC, CISC, MIPS, CPU clock cycle etc.)
4) Digital input/output
5) Analog Input/output
6) Meeting real-time constraints, hardware delays and Interrupts.
7) Interrupts and Timers and interrupt service routines
8) Driving actuators
9) Communication: Serial RS232, SPI, I2C, CAN, Wireless etc. I
10) Communication: Serial RS232, SPI, I2C, CAN - II
11) Sensors & actuators I
12) Sensors & actuators II
13) Real Time Operating Systems
14) Project Presentations.

Sources

Course Notes: Embedded C, Michael J. Pont, Addison Wesley 2005.
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 0
Laboratory 12 % 15
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes 7 % 15
Homework Assignments % 0
Presentation % 0
Project 1 % 15
Seminar % 0
Midterms 1 % 20
Preliminary Jury % 0
Final 1 % 35
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
Laboratory 13 2 26
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 15 8 120
Presentations / Seminar 0 0 0
Project 1 34 34
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 1 2 2
Paper Submission 0 0 0
Jury 0 0 0
Final 1 2 2
Total Workload 212

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering. 5
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. 5
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. 5
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. 5
5) Select and use modern techniques and tools necessary for engineering applications. 5
6) Design and conduct experiments, collect data, and analyse and interpret results. 5
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.