| TYPE OF COURSE UNIT | Elective Course |
| LEVEL OF COURSE UNIT | Master's Degree With Thesis |
| YEAR OF STUDY | - |
| SEMESTER | - |
| NUMBER OF ECTS CREDITS ALLOCATED | 10 |
| NAME OF LECTURER(S) | -
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Learn the using of mathematical expressions on mobile robots.
2) Learn the choosing sensors and last control units for mobile robots.
3) Will be able to develop algorithms and formulate for mobile robot problems, i.e. position detection, mapping, path planning.
4) Will be able to do the applications of smart systems on mobile robots.
5) 5 Learn the use of robots in solutions of real life problems.
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | |
| COURSE DEFINITION | |
| COURSE CONTENTS |
|
| RECOMENDED OR REQUIRED READING | |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Problem Solving,Questions/Answers |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 30 | | Assignment | 1 | 15 | | Project | 1 | 25 | | Total(%) | | 70 | | Contribution of In-term Studies to Overall Grade(%) | | 70 | | Contribution of Final Examination to Overall Grade(%) | | 30 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 2 | 2 | | Preparation for Quiz | | | | | Individual or group work | 14 | 9 | 126 | | Preparation for Final exam | 1 | 50 | 50 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 25 | 25 | | Laboratory (including preparation) | | | | | Final exam | 1 | 2 | 2 | | Homework | 1 | 10 | 10 | | Project | 1 | 30 | 30 | | Total Workload | | | 287 |
|---|
| Total Workload / 30 | | | 9,56 |
|---|
| ECTS Credits of the Course | | | 10 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
