Information Package / Course Catalogue
EE 484 Embedded Systems Design
MEF University
Degree Programs
Psychology
General Information For Students
Diploma SupplementErasmus Policy Statement
Psychology
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Engineering
Course Code EE 484
Course Title in English Embedded Systems Design
Course Title in Turkish Gömülü Sistem Tasarımı
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Seçiniz
Semester Spring
Contact Hours per Week
Lecture: 2 Recitation: Lab: 2 Other:
Estimated Student Workload 153 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites EE 203 - Digital Systems Design
Expected Prior Knowledge Prior knowledge digital systems, gate level design of combinational and sequential circuits, circuit analysis, programming as well as embedded systems is expected.
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To design an embedded system that includes the determination of functional and non-functional requirements, hardware selection, hardware design, cloud connectivity and software design.
Course Description This course leads the students to complete an embedded systems design process. The following topics are covered: functional and non-functional requirements, performance boosting with FPGA virtues, widely used content platforms and electronic boards in embedded systems, embedded systems for IoT, computing on the edge and computing in cloud, standards and regulations in embedded systems, reporting and demonstrating a project.
Course Description in Turkish Bu ders, öğrencilerin bir gömülü sistem tasarım sürecini baştan sona tamamlamalarını sağlar. Aşağıdaki konular ele alınmaktadır: işlevsel ve işlevsel olmayan gereksinimler, FPGA erdemleriyle performans artırma, yaygın olarak kullanılan içerik platformları ve gömülü sistemlerdeki elektronik kartlar, IoT için gömülü sistemler, uçta bilgi işlem ve bulutta bilgi işlem, gömülü sistemlerde standartlar ve düzenlemeler , bir projeyi raporlamak ve göstermek.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) design and implement an embedded system as a part of team;
2) use cloud platforms, content platforms, sensors and actuators in embedded systems;
3) appreciate sustainability and resource saving strategies in the design process
4) apply electronic and communication standards and regulations in their design
5) criticize performance metrics of a completed system
6) demonstrate their design to a wide audience.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date TUBA AYHAN ,
Course Coordinator TUBA AYHAN
Semester Spring
Name of Instructor Asst. Prof. Dr. TUBA AYHAN

Course Contents

Week Subject
1) Characteristics of Embedded Systems
2) FPGA Virtues
3) Introduction to Cloud Connectivity
4) System Requirements, Understanding, and Design Environment
5) Sensor-Centric System Development
6) Security Considerations
7) Safety Considerations
8) Green Computing: Sustainability and resource management
9) Project design: functional and non-functional requirements
10) Project design: block diagram
11) Project design: hw/sw partitioning
12) Project design: hw design
13) Project design: sw design
14) Project design: integration
14) Project design: integration
15) Final Examination Period.
16) Final Examination Period.
Required/Recommended Readings1. Lambert Spaanenburg · Hendrik Spaanenburg, Cloud Connectivity and Embedded Sensory Systems, Springer, 2011 2. Carsten-Constantin Soeldner, Open Innovation in Embedded Systems, Gabler Verlag, 2017
Teaching MethodsContact hours using “Flipped Classroom” as an active learning technique.
Homework and ProjectsStudents will complete an embedded system design project in teams. The system must include an FPGA platform, cloud and custom sensor/actuator platforms selected by the students.
Laboratory WorkAll project work and demonstrations will be conducted in A403.
Computer UseStudent is to use Cloud platforms, as well as C programming IDE and FPGA IDE.
Other Activities
Assessment Methods
Assessment Tools Count Weight
Project 1 % 30
Paper Submission 2 % 70
TOTAL % 100
Course Administration

Instructor’s office and phone number: 5th Floor office hours: TBA email address: ayhant@mef.edu.tr Policies: ● Missing project: Fail. ● A reminder of proper classroom behavior, code of student conduct: YÖK Disciplinary Regulation 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 2 56
Laboratory 7 3 2 35
Presentations / Seminar 1 12 2 14
Project 1 30 1 31
Paper Submission 1 15 2 17
Total Workload 153
Total Workload/25 6.1
ECTS 6