Power Electronics and Clean Energy Systems (English) with thesis | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code: | AUTO526 | ||||||||
Course Name: | Autonomous Vehicles | ||||||||
Course Semester: | Spring | ||||||||
Course Credits: |
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Language of instruction: | EN | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Department Elective | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Prof. Dr. RAMAZAN NEJAT TUNCAY | ||||||||
Course Lecturer(s): |
Dr. İSMAİL BAYEZİT |
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Course Assistants: |
Course Objectives: | Self-driving vehicles are poised to become one of the most pervasive and impactful applications of autonomy, and have received a great deal of attention recently. This course considers problems in perception, navigation, planning and control, and their systems-level integration in the context of self-driving vehicles through an open-source curriculum for autonomy education that emphasizes hands-on experience. Integral to the course, students will collaborate to implement concepts covered in lecture on a low-cost autonomous vehicle with the goal of navigating a model town complete with roads, signage, traffic lights, obstacles, and citizens. |
Course Content: | The course will cover the theory and application of probabilistic techniques for autonomous mobile robotics with particular emphasis on their application in the context of self-driving vehicles. Topics include probabilistic state estimation and decision making for mobile robots; stochastic representations of the environment; dynamics models and sensor models for mobile robots; algorithms for mapping and localization; planning and control in the presence of uncertainty; cooperative operation of multiple mobile robots; mobile sensor networks; deep learning for perception; imitation from expert trajectories; reinforcement learning. |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Autonomy architectures | Course Notes |
2) | Sensors, models, and representations | Course Notes |
3) | Computer vision | Course Notes |
4) | Nonlinear filtering and state estimation (Bayes filter, Kalman filter, particle filter, SLAM) | Course Notes |
5) | Nonlinear filtering and state estimation (Bayes filter, Kalman filter, particle filter, SLAM) | Course Notes |
6) | Navigation and planning (mission planning, motion planning and control basics) | Course Notes |
7) | Navigation and planning (mission planning, motion planning and control basics) | Course Notes |
8) | Complex perception pipelines (use of object detection, reading traffic signs, and tracking) | Course Notes |
9) | Complex perception pipelines (use of object detection, reading traffic signs, and tracking) | Course Notes |
10) | Tools for making robots work (Docker, ROS, Git, network basics) | Course Notes |
11) | Reinforcement learning and sim2real transfer | Course Notes |
12) | Deep learning for perception | Course Notes |
13) | Deep learning for perception | Course Notes |
14) | Deep learning for perception | Course Notes |
Course Notes / Textbooks: | Ders Notları |
References: | Course Notes |
Learning Outcomes | 1 |
2 |
4 |
3 |
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Program Outcomes | |||||||||||
1) Reaches the information in the field of power electronics and clean energy systems in depth through scientific researches; evaluates the knowledge, interprets and implements. | |||||||||||
2) Has the extensive information about current techniques and their constraints in the field of Power Electronics . | |||||||||||
3) Using limited or missing data, completes the information through scientific methods and applies; integrates the information from different disciplines. | |||||||||||
4) Aware of new and emerging applications of his/her profession; learn and examine them if needed. | |||||||||||
5) Builds the Power Electronics problems, develops methods to solve and implements innovative ways for solution. | |||||||||||
6) Develops new and/or original ideas and methods; develops innovative solutions for the design of a process, system or component. | |||||||||||
7) Designs and implements the analytical, modeling and experimental-based researches; resolves the complex situations encountered in this process and interprets. | |||||||||||
8) Leads multi-disciplinary teams, develops solution approaches to complex situations and takes responsibility. | |||||||||||
9) Uses at least one foreign language at the general level of European Language Portfolio B2 and communicates effectively in oral and written language. | |||||||||||
10) Presents the process and results of the work in national and international media systematically and clearly in written or oral language. | |||||||||||
11) Describe the social and environmental dimensions of Power Electronics Engineering applications. | |||||||||||
12) In the stages of data collection, interpretation and publication as well as all professional activities, he/she considers the social, scientific and ethical values. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Reaches the information in the field of power electronics and clean energy systems in depth through scientific researches; evaluates the knowledge, interprets and implements. | |
2) | Has the extensive information about current techniques and their constraints in the field of Power Electronics . | |
3) | Using limited or missing data, completes the information through scientific methods and applies; integrates the information from different disciplines. | 4 |
4) | Aware of new and emerging applications of his/her profession; learn and examine them if needed. | |
5) | Builds the Power Electronics problems, develops methods to solve and implements innovative ways for solution. | 3 |
6) | Develops new and/or original ideas and methods; develops innovative solutions for the design of a process, system or component. | |
7) | Designs and implements the analytical, modeling and experimental-based researches; resolves the complex situations encountered in this process and interprets. | 1 |
8) | Leads multi-disciplinary teams, develops solution approaches to complex situations and takes responsibility. | 1 |
9) | Uses at least one foreign language at the general level of European Language Portfolio B2 and communicates effectively in oral and written language. | |
10) | Presents the process and results of the work in national and international media systematically and clearly in written or oral language. | 2 |
11) | Describe the social and environmental dimensions of Power Electronics Engineering applications. | |
12) | In the stages of data collection, interpretation and publication as well as all professional activities, he/she considers the social, scientific and ethical values. |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
Homework | |
Application | |
Individual Project | |
Presentation | |
Reporting |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 30 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Project | 1 | 175 | 175 |
Midterms | 1 | 24 | 24 |
Final | 1 | 48 | 48 |
Total Workload | 289 |