Course Name Code Semester T+U Hours Credit ECTS
Embedded Systems BSM 443 7 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi MURAT İSKEFİYELİ
Course Lecturers
Course Assistants
Course Category
Course Objective
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Microprocessors, micro-processor systems, microcontroller Lecture, Testing,
2 Learn the concept of embedded systems Lecture, Question-Answer, Discussion, Testing,
3 Learn about embedded systems operating systems Lecture, Question-Answer, Testing, Homework,
4 Learn the embedded system applications Lecture, Question-Answer, Discussion, Case Study, Project Based Learning, Homework, Project / Design,
5 Learn Analog and digital data read, to harmonize signal Lecture, Question-Answer, Discussion, Motivations to Show, Testing, Homework,
6 Uses the communication protocols Lecture, Drilland Practice, Lab / Workshop, Testing, Project / Design,
7 Understand the embedded operating system Lecture, Question-Answer, Discussion, Motivations to Show, Testing, Project / Design,
Week Course Topics Preliminary Preparation
1 Introduction to Embedded Systems
2 Problem solving techniques for embedded systems
3 Microcontroller circuits
4 Embedded system communications protocols-1 (UART, SPI, I2C)
5 Embedded system communications protocols-2 (UART, SPI, I2C)
6 Obtaining physical data from the outside world and control
7 Display of the obtained data-1 (7-segment, LCD, GLCD)
8 Display of the obtained data-2 (7-segment, LCD, GLCD)
9 Keypad and keyboard applications
10 Memory Modules and applications
11 Introduction of embedded operating systems
12 Non-real-time embedded operating systems
13 Embedded real-time operating systems
14 project presentations
Resources
Course Notes Lecture Notes
Course Resources Lecture Notes
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language, X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology, X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society,
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications,
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Kısa Sınav 10
2. Kısa Sınav 10
1. Proje / Tasarım 20
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Final examination 1 10 10
Total Workload 116
Total Workload / 25 (Hours) 4.64
dersAKTSKredisi 5