EE 483 Embedded System ApplicationsMEF UniversityDegree Programs Electrical and Electronics EngineeringGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Electrical and Electronics Engineering
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute Faculty of Engineering
Course Code EE 483
Course Title in English Embedded System Applications
Course Title in Turkish Gömülü Sistem Uygulamaları
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Select
Semester Spring
Contact Hours per Week
Lecture: 2 Recitation: Lab: 2 Other:
Estimated Student Workload 150 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites EE 212 - Electrical and Electronic Circuits | EE 308 - EE Engineering Design Studio
Co-requisites None
Expected Prior Knowledge Prior knowledge of electronic circuits, circuit components and OPAMPS is expected.
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To gain hands-on experience on embedded system programming
Course Description Using a microprocessor and C programming, students will learn and practice serial connection protocols (UART, I2C, SPI) that are widely used in recent (digital) sensors. Datasheet search and interpretation is also to be learned via this course.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) determine number and types of I/O pins in a practical embedded system application
2) design and program a basic embedded system interface
3) discriminate communication protocols RS232, I2C and SPI in terms of number of wires required, waveforms and data rate
4) develop proper codes for an embedded system that can communicate with PC
5) inspect and understand data and control registers of a sensor using its (technical) datasheet.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics N
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors H Exam
3) An ability to communicate effectively with a range of audiences N
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts N
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives N
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions H Exam,Project
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies N
Prepared by and Date GÜRAY GÜRKAN ,
Course Coordinator TUBA AYHAN
Semester Spring
Name of Instructor Asst. Prof. Dr. GÜRAY GÜRKAN

Course Contents

Week Subject
1) Introduction to microprocessors; review of signal types, oscilloscope and function generator usage.
2) Introduction to Arduino; history, board layout and “Blink” code examinations.
3) Function declarations, input arguments and variable type selection
4) Digital input and output usage.
5) Using analog inputs. The ADC module.
6) Using PWM module: the analogWrite() function and Timer details.
7) Using UART module. RS232 Waveform verification via oscilloscope
8) LCD Menu design using LCD library.
9) Using I2C module. I2C protocol details. Wire library and waveform verification
10) Using a digital magnetometer: Datasheet inspection and coding
11) Using a digital accelerometer: Datasheet inspection and coding.
12) Using SPI module. SPI protocol details. SPI library and waveform verification.
13) Using a high resolution ADC module with SPI interface. Using emulated EEPROM.
14) Stepper motor review, driving a stepper motor with digital control.
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended Readings-
Teaching MethodsContact hours using “Flipped Classroom” as an active learning technique
Homework and ProjectsWeekly coding homework (they will not be collected and not graded). 1 Coding/Hardware development Project
Laboratory WorkWeekly laboratories on coding and analyzing outputs and measurements via Oscilloscope and Function Generator usage.
Computer UseStudents will intensely use a computer for programming purpose.
Other Activities-
Assessment Methods
Assessment Tools Count Weight
Quiz(zes) 2 % 20
Project 1 % 30
Midterm(s) 2 % 50
TOTAL % 100
Course Administration

Instructor’s office: office hours: email address: TBA Policies: ● Missing project: Fail. ● Improper behavior, academic dishonesty and plagiarism: YÖK Disciplinary Regulation

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 2 4 84
Project 1 20 2 2 24
Quiz(zes) 2 2 1 1 8
Midterm(s) 2 15 2 34
Total Workload 150
Total Workload/25 6.0
ECTS 6