Computer Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05031901 | Mechatronics Measurements | 3 | Autumn | 5 | 3+0+0 | 3 | 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 | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Nurten URLU ÖZALAN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Nurten URLU ÖZALAN | A-128 | [email protected] | 7880 | Wednesday 9.20-10.00 |
Course Content
Ölçümlere Giriş, Cihaz Tipleri ve Performans Karakteristikleri, Sensör Teknolojileri, İstatistik Temelleri, Ölçüm Sürecinde Hata, Ölçümlerde Gürültü ve Sinyal İşleme, Ölçüm için Temel Mekatronik Aletleri, Değişken Dönüştürme Elemanları.
Objectives of the Course
This course aims to is to build the knowledge of undergrad students with fundamentals of measurement systems. The course will introduce the measurement instrument types and their performance characteristics. In addition, many sensors that used for measurements including errors and noises will be described. The main core of the course is statistics which is very important science for measurements due to using huge amount of data.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | X |
| 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 |
|---|---|---|
| P1 | Adequate knowledge in mathematics, science and related engineering discipline accumulation; theoretical and practical knowledge in these areas, complex engineering the ability to use in problems. | 3 |
| P5 | An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics | 4 |
| P10 | Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development | 2 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Must know power calculations | P.2.2 | |
| O2 | Knowledge of digital electronic components and analysis of digital electronic logic circuits | P.2.13 | |
| O3 | Must gain mathematical background related to signal processing | P.1.9 | |
| O4 | Knowledge of processor structure and operating logic. | P.4.14 | |
| O5 | Algorithm | P.2.23 | |
| ** 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 | Introduction to Measurements |
| 2 | Instrument Types and Performance Characteristics |
| 3 | Sensors Technologies |
| 4 | Basics of Statistics (1) |
| 5 | Basics of Statistics (2) |
| 6 | Error during Measurement Process |
| 7 | Noise in Measurements & Signal Processing |
| 8 | Basic Mechatronics Instruments for Measurement |
| 9 | Variable Conversion Elements (1) |
| 10 | Variable Conversion Elements (2) |
| 11 | Error during Measurement Process |
| 12 | Error during Measurement Process III |
| 13 | Final |
| 14 | Final |
Textbook or Material
| Resources | Alan S Morris, ""Measurement and Instrumentation Principles-Third Edition""-2001 |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| 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 | 1 | 14 |
| Midterms | 1 | 3 | 3 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 3 | 3 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 62 | ||
| Total Work Load / 30 | 2,07 | ||
| Course ECTS Credits: | 2 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P2 | P4 |
|---|---|---|---|---|
| O1 | Must gain mathematical background related to signal processing | 4 | - | - |
| O2 | Must know power calculations | - | 2 | - |
| O3 | Knowledge of digital electronic components and analysis of digital electronic logic circuits | - | - | - |
| O4 | Algorithm | 5 | - | - |
| O5 | Knowledge of processor structure and operating logic. | 5 | - | - |