COMPUTER ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | 1410002022 | ||||||||
Ders İsmi: | Autonomous Systems | ||||||||
Ders Yarıyılı: |
Fall Spring |
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Ders Kredileri: |
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Language of instruction: | TR | ||||||||
Ders Koşulu: | |||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||
Type of course: | Bölüm Seçmeli | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Dr.Öğr.Üyesi Recep DURANAY | ||||||||
Course Lecturer(s): | |||||||||
Course Assistants: |
Course Objectives: | To teach the conceptual structure of the types of intelligent and autonomous systems |
Course Content: | Definition and Analysis of Autonomic Systems, Autonomic Nervous System and Energy for Hypothalamus, Intelligent and Autonomous Systems, Autonomous Systems Collection Autonomous (Driverless) Vehicles and Autonomous Vehicle Creator Sub Systems, Precision Positioning System and Global Orbit Planning System, Environmental Perception and Meaning System. Decision Making system. Local Trajectory Planning System, Decision Implementation and Support system. A Simple Application Example, BGP (Border Gateway Protocol Fundamentals, Autonomous Robots Introduction, Industry 4.0 and Autonomous Robots, Autonomous Unmanned Aerial Vehicles, Autonomous security multipurpose drones, Autonomous Flight System, unmanned systems, aviation, cockpit systems, systems engineering, software engineering and management, Embedded System Solutions for Autonomous Systems Embedded for Drones System Solutions |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Definition and Analysis of Autonomous Systems | |
2) | Energy Harvesting for Autonomous Systems | |
3) | Autonomous (Driverless) Vehicles and Subsystems that Make up the Autonomous Vehicle | |
4) | Precise Positioning System and Global Orbital Planning System | Course Book |
5) | Environmental Perception and Meaning System | |
6) | Local Orbital Planning System | |
7) | Decision Implementation and Support System | |
8) | Midterm | |
9) | Basics of BGP (Border Gateway Protocol) | |
10) | Autonomous Robots Introduction | |
11) | Industry 4.0 and Autonomous Robots | |
12) | Autonomous Unmanned Aerial Vehicles | |
13) | Autonomous Military drones | Course Book |
14) | Autonomous Flight System, unmanned systems | |
15) | Final |
Course Notes / Textbooks: | Intelligent Autonomous Systems: Foundations and Applications, editör: Dilip Kumar Pratihar,Lakhmi C. Jain, 2. A. Tanenbaum, “Distributed Systems”, Prentice Hall, 3. G. Coulouris e.al, "Distributed Systems |
References: | Intelligent Autonomous Systems: Foundations and Applications, editör: Dilip Kumar Pratihar,Lakhmi C. Jain, 2. A. Tanenbaum, “Distributed Systems”, Prentice Hall, 3. G. Coulouris e.al, "Distributed Systems |
Ders Öğrenme Kazanımları | 1 |
2 |
3 |
4 |
5 |
6 |
7 |
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Program Outcomes | ||||||||||||||||
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering | ||||||||||||||||
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems. | ||||||||||||||||
3) PO 2.1) Identifying complex engineering problems | ||||||||||||||||
4) PO 2.2) Defining complex engineering problems | ||||||||||||||||
5) PO 2.3) Formulating complex engineering problems | ||||||||||||||||
6) PO 2.4) Ability to solve complex engineering problems | ||||||||||||||||
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods | ||||||||||||||||
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions. | ||||||||||||||||
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product | ||||||||||||||||
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | ||||||||||||||||
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | ||||||||||||||||
12) PO 4.3) Ability to use information technologies effectively. | ||||||||||||||||
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments | ||||||||||||||||
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation | ||||||||||||||||
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection | ||||||||||||||||
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics | ||||||||||||||||
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | PO 1.1) Sufficient knowledge in mathematics, science and computer engineering | |
2) | PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems. | |
3) | PO 2.1) Identifying complex engineering problems | |
4) | PO 2.2) Defining complex engineering problems | |
5) | PO 2.3) Formulating complex engineering problems | |
6) | PO 2.4) Ability to solve complex engineering problems | |
7) | PO 2.5) Ability to choose and apply appropriate analysis and modeling methods | |
8) | PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions. | |
9) | PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product | 5 |
10) | PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | |
11) | PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications | |
12) | PO 4.3) Ability to use information technologies effectively. | |
13) | PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments | |
14) | PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation | |
15) | PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection | |
16) | PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics | |
17) | PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics |
Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
Homework |
Semester Requirements | Number of Activities | Level of Contribution |
total | % | |
PERCENTAGE OF SEMESTER WORK | % 0 | |
PERCENTAGE OF FINAL WORK | % | |
total | % |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Midterms | 1 | 30 | 30 |
Final | 1 | 40 | 40 |
Total Workload | 112 |