Mechatronics Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechatronics Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechatronics Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05571008 | Data Acqusition for Mechatronics | 4 | Autumn | 7 | 3+1+0 | 5 | 5 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | Lecture, Problem Solving, Laboratory, Project |
| Mode of Delivery | Face to Face |
| Prerequisites | There is no prerequisite for the course. |
| Coordinator | - |
| Instructor(s) | - |
| Instructor Assistant(s) | - |
Course Content
Logic design, sampling and quantisation, introduction of cards for data acquisition and applications
Objectives of the Course
Teaching the principles and designs of data acqusition systems that can be used in sensor systems.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P2 | Ability to identify, formulate and solve complex Mechatronics Engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 5 |
| P4 | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; Ability to use information technologies effectively | 5 |
| P5 | An ability to design and conduct experiments, collect data, analyze, and interpret results for the study of complex engineering problems or research topics specific to Mechatronics Engineering | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Ability to know digital signal shaping | P.2.30 | 1 |
| O2 | Ability to know the principles of logic design | P.2.39 | 1 |
| O3 | Ability to know the principles of sampling | P.2.40 | 1 |
| O4 | Ability to know the general characteristics of data collection cards | P.5.17 | 7 |
| O5 | Ability to make applications with data collection cards | P.5.18 | 7 |
| O6 | Ability to prepare and present technical documents such as technical reports and presentations | P.7.2 | 7 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Logic design |
| 2 | Logic design |
| 3 | Logic design |
| 4 | Sampling and quantization basics |
| 5 | Sampling and quantization basics |
| 6 | Sampling and quantization basics |
| 7 | Data acquisition boards |
| 8 | Data acquisition boards |
| 9 | Data acquisition boards |
| 10 | Applications of data acquisition |
| 11 | Applications of data acquisition |
| 12 | Applications of data acquisition |
| 13 | Applications of data acquisition |
| 14 | Applications of data acquisition |
Textbook or Material
| Resources | https://sites.google.com/site/abulentusakli/ |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | 1 | 5 (%) |
| Laboratory | 1 | 15 (%) |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | 1 | 20 (%) |
| Quiz | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 30 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 4 | 56 |
| Midterms | 1 | 10 | 10 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 10 | 1 | 10 |
| Project | 1 | 5 | 5 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 15 | 15 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 138 | ||
| Total Work Load / 30 | 4,60 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P2 | P5 | P7 |
|---|---|---|---|---|
| O1 | Ability to know digital signal shaping | 4 | - | - |
| O2 | Ability to know the principles of logic design | 4 | - | - |
| O3 | Ability to know the principles of sampling | 4 | - | - |
| O4 | Ability to know the general characteristics of data collection cards | - | 5 | - |
| O5 | Ability to make applications with data collection cards | - | 5 | - |
| O6 | Ability to prepare and present technical documents such as technical reports and presentations | - | - | 5 |