Embeded System Design (CMPE434) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Embeded System Design CMPE434 Area Elective 2 2 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Technical Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives Introducing a modern approach to embedded system design, presenting software design and hardware design in a unified manner by covering trends and challenges.
Course Learning Outcomes The students who succeeded in this course;
  • Providing an overall view (form a "system point of view") of the realization and applications of embedded systems.
  • Understanding the design and use of single-purpose processors ("hardware") and general-purpose processors ("software")
  • Describing memories and buses
  • Illustrating hardware/software tradeoffs using a digital camera example
  • Discussing advanced computation models, controls systems, chip technologies, and modern design tools
Course Content Embedded systems and their applications, metrics of embedded systems, components of embedded systems, realization of embedded systems, PCB technologies, simulation, emulation, rapid prototyping, testing and certification examples of realizations optimized for different applications, analysis of development costs and times, laboratory work on specif

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Embedded systems overview Main text, Chapter 1
2 Custom Single-purpose processors: Hardware Chapter 2
3 General-purpose processors: Software Chapter 3
4 Standard single-purpose processors: Peripherals Chapter 4
5 Memory chapter 5
6 Interfacing Chapter 6
7 Interfacing Chapter 6
8 Digital camera example Chapter 7
9 State machine and concurrent process models Chapter 8
10 State machine and concurrent process models Chapter 8
11 Control systems chapter 9
12 IC technology chapter 10
13 Design technology chapter 11
14 Design technology chapter 11

Sources

Course Book 1. Embedded System Design: A Unified Donanım/Yazılım Introduction, Frank Vahid and Tony Givargis, John Wiley & Sons, 2002.
Other Sources 2. 1- Wayne Wolf , “Computer As Components: Principles of Embedded Computer System Design”, Morgan Kaufmann, 2001
3. 2- High-Performance Embedded Computing: Architectures, Applications, and Methodologies, Wayne Wolf, Morgan Kaufmann Publishers, 2006
4. 3- Embedded System Design ; Peter Marwedel, Springer, 2006
5. 4- Programming Embedded Systems in C and C++ by Michael Barr, O'Reilly, 1999
6. 5- Embedded Systems Building Blocks, Jean J. Labrosse, CMP Books, Dec-1999

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory 1 10
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 1 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 35
Toplam 6 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses
Major Area Courses X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems.
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. X
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively.
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually
7 Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology. X
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility;
11 Knowledge of the standards utilized in software engineering applications
12 Knowledge on business practices such as project management, risk management and change management;
13 Awareness about entrepreneurship, innovation
14 Knowledge on sustainable development
15 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety;
16 Awareness of the legal consequences of engineering solutions
17 An ability to describe, analyze and design digital computing and representation systems.
18 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 4 64
Laboratory 2 10 20
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 1 16
Presentation/Seminar Prepration
Project 1 10 10
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 130