GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
Autonomous Driving Systems (TVE 2)/OM 360
Course Title: Autonomous Driving Systems (TVE 2)
Credits 2 ECTS 3
Course Semester 6 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Upon completion of the course the student will be able to: Classify autonomous vehicle types, explain legal regulations and critical problems.
Explain the subsystems and structures of communication networks used in autonomous vehicles.
Explain working principle of adaptive cruise control systems.
Explain working principle of adaptive lighting systems.
Explain working principle of automatic braking systems.
Explain working principle of automatic parking systems.
Explain structure and working principle of collision prevention systems.
Explain structure and working principle of blind spot detection systems.
Explain working principle of lane keeping and lane change systems.
Explain structure and working principle of driver drowsiness systems.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Classification of autonomous vehicles and historical development
2. Week  Legal regulations and social contexts about autonomous driving systems
3. Week  Vehicle and traffic communication networks (V2V, V2X, V2I)
4. Week  RADAR and LIDAR systems
5. Week  Image processing system for autonomous vehicles
6. Week  Advanced driver assistance systems
7. Week  Adaptive cruise control systems
8. Week  Midterm exam, Adaptive lighting systems
9. Week  Automatic braking systems
10. Week  Automatic parking systems
11. Week  Collision avoidance systems
12. Week  Blind spot detection systems
13. Week  Driver drowsiness monitoring systems
14. Week  Lane keep and change systems
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
1
30
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
2
28
 Weekly Tutorial Hours
0
 Reading Tasks
0
 Searching in Internet and Library
8
2
16
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
5
2
10
 Presentation
1
1
1
 Midterm Exam and Preperation for Midterm Exam
2
4
8
 Final Exam and Preperation for Final Exam
2
6
12
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
75
 TOTAL WORKLOAD / 25: 
3
 Course Credit (ECTS): 
3
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Capability of obtaining adequate knowledge in mathematics, science and engineering subjects in the automotive field; applying theoretical and practical knowledge for modeling and solving engineering problems in this field.X
2Capability of formulation and solving engineering problems; for this purpose selecting and appliying the appropriate analysis and modeling methods.X
3Capability of evaluation of engine and vehicle design projects, designing any engine and vehicle parts, to bring prototype and series production stage.X
4Capability of design of complex systems for specific needs, component or process in whole or in part.X
5Capability of development of modern methods and tools necessary for engineering applications, selection and effective use and to use of information technologies effectively.X
6Capability of analysis of the engineering problems and for the solution designing and performing experiments, collecting data, analyzing and interpretting the results.X
7Capability of work in team and individual and ability to work effectively with other disciplines.X
8Capability of effective communication both verbal and written in Turkish and at least one foreign language konwledgeX
9Capability of access to information in the framework of lifelong learning, to follow the developments in science and technology and self-improvement.X
10Resposibility of professional and ethical liability.X
11Awareness of leadership, entrepreneurship, innovation and sustainable development in business life.X
12Being competent in the engineering applications, legislations, legal consequences and in the field of occupational health and safety.X
13Capability of research and application in the subjects of noise, environment and emissions.X
14Capability of making education in the field.X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. Fatih ŞAHİN)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/fasahin)
 -- EMAIL(S) OF LECTURER(S)
   (fasahin@gazi.edu.tr)