GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
REAL-TIME CONTROL SYSTEMS/5221310
Course Title: REAL-TIME CONTROL SYSTEMS
Credits 3 ECTS 8
Semester 2 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assist. Prof. Dr. Fecir DURAN
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/fduran
 -- EMAIL(S) OF LECTURER(S)
  fduran@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
To plan the Real-time systems design process
To solve the problems at Real-time system design process
Software develop for Real-time system design
To Use the most accurate sensor and actuator.





 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face and project applications
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  Embedded Systems
 --COURSE CONTENT
1. Week  Definition and Basic Structure of Real-Time Systems
2. Week  Response Time Concept
3. Week  Real-Time Systems Arithmetic
4. Week  Real-time systems design process
5. Week  Example of a Project and the Scientific Determination of students' projects
6. Week  DSP Architecture, Types and Peripherals
7. Week  DSP Peripherals
8. Week  Sensors and response times
9. Week  Sensors and response times
10. Week  Actuators, and Response Times
11. Week  Real-Time Systems Programming Algorithms
12. Week  Analog and Digital Input / Output Applications
13. Week  Communication Applications
14. Week  Evaluation of projects.
15. Week  
16. Week  
 -- RECOMMENDED OR REQUIRED READING
  Real-time systems design and analysis Laplante, Phillip A., Hoboken, N.J. : Wiley, 2004. 2. DSP software development techniques for embeddedreal-time systems Oshana, Robert. 3. C algorithms for real-time DSP, Embree, Paul M., 4. Embedded Systems Architecture: A Comprehensive Guide for Engineers and Programmers (Embedded Technology), Tammy Noergaard, Newnes, 2005.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
0
0
 Assignment
0
0
 Exercises
0
0
 Projects
1
30
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
30
 Contribution of Final Examination to Overall Grade  
70
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
14
2
28
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
14
2
28
 Preparing Reports
7
2
14
 Preparing Presentation
14
3
42
 Presentation
14
1
14
 Mid-Term and Studying for Mid-Term
0
 Final and Studying for Final
1
3
3
 Other
0
 TOTAL WORKLOAD: 
199
 TOTAL WORKLOAD / 25: 
7.96
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Improves and deepens the field knowledge at an expert level based on undergraduate proficiency.X
2Comprehends the interactions between the computer science and other related disciplines.X
3Uses expert level theoretical and practical knowledge acquired in the computer science field.X
4Creates new knowledge by integrating the computer science knowledge and the knowledge from related disciplines.X
5Defines a problem in the computer science field.X
6Analyses the problems in the computer science field by using scientific research methods.X
7Proposes solutions to the problems in the computer science field.X
8Solves problems in the computer science field.X
9Evaluates the results within perspectives of quality processes.X
10Develops new approaches and methods by taking responsibility in complex situations in the application stages.X