| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Experımental Methods and Data Analysıng | OTO 524 | 0 | 3 + 0 | 3 | 6 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | YUKSEK_LISANS |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Doç.Dr. VEZİR AYHAN |
| Dersi Verenler | |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Alanına Uygun Öğretim |
| Dersin Amacı | Testing of the correctness of the data measured by an experimental study is very important. There are various factors affecting the measurement during experiments. Some of them arise from the sensitivity of the test equipments and the other factors come from the test conditions. Defining the total uncertainty of the measured parameters clearly and inserting them into the calculated parameters gives the correctness limits of experimental study. Although the defining and calculating of the uncertainty of experimental parameters is important, the reporting the test results is also significantly important. This lessons aims to contribute these topics. |
| Dersin İçeriği | 1.Introduction to experiments 2.Characteristics of experimental data 3.Graphical Presentation of data 4.Dealing with uncertainities 5.Statistical approach to variablity in data 6.Fitting a line to x-y data 7.Reporting experiments |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Explains stages of experimental studies | Lecture, Question-Answer, Discussion, | Testing, Homework, |
| 2 | Makes a non-linear linear equation as linear equation between two limits | Lecture, Question-Answer, Drilland Practice, | Testing, Homework, |
| 3 | Calculates total uncertainity of measured parameters and explains the reason which sources causes the uncertainity in an expeimental setup | Lecture, Question-Answer, Drilland Practice, Problem Solving, | Testing, Homework, |
| 4 | Uses statistical metot for analysis of measured data | Lecture, Question-Answer, Drilland Practice, Problem Solving, | Testing, Homework, |
| 5 | Finds equation fort he measured data using Regression Analysis | Lecture, Question-Answer, Drilland Practice, Problem Solving, | Testing, Homework, |
| 6 | Present their experimetal results as a report | Lecture, Question-Answer, Drilland Practice, | Testing, Homework, |
| 7 | Lecture, Question-Answer, Demonstration, Self Study, | Homework, Performance Task, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | the importance of experiments in science and engineering, stages of a typical experiment | |
| 2 | Characteristics of experimental data | |
| 3 | Plotting graphs, dependent and independent variables,origins, error bars and line drawing, the line of ?best fit? through a set of data points, enterpolation and extrapolation, the gradient and intercept when dealing with experimental data | |
| 4 | Linearization o f data, logaritmic graphs, computational applications for graphical presentation., examples | |
| 5 | Introduction to uncertainties, uncertainty in single measurement, resolution uncertainty,reading uncertainty | |
| 6 | calibration uncertainty, uncertainty in mean,combining uncertainties,selection and rejection of data | |
| 7 | Estimating uncertainities with the aid of statistic, variance and Standard deviation of repeated measurements, uncertainity in mean of repeated measurements: | |
| 8 | Exam1 | |
| 9 | Standard error of the mean,displaying the values obtained from repeated measurements: histogram, proporties of normal distribution, combaining uncertainities in the measured quantities are independent, Continuous and discrete quantities. | |
| 10 | Least squares methods,possible calculating difficulties, uncertainty in gradient and intercept, interpolation of uncertainties in m and c, weighting the fit. | |
| 11 | purpose of a report,structure of a report, use of lenguage, section of a report. | |
| 12 | Seminar | |
| 13 | Seminar | |
| 14 | Seminar |
| Kaynaklar | |
|---|---|
| Ders Notu | |
| Ders Kaynakları | |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Ability to reach the knowledge expansion and depth by doing scientific research in the field of engineering, knowledge evaluation, interpretation and application skills | X | |||||
| 2 | To be able to develop strategies, policies and implementation plans in the field of automotive engineering and evaluate the results obtained within the framework of quality processes | ||||||
| 3 | Ability to observe social, scientific and ethical values at the stages of collecting, interpreting and announcing the data and at all professional activities | X | |||||
| 4 | Ability to manipulate and apply knowledge through scientific methods using existing data available, and the ability to integrate knowledge from different disciplines | ||||||
| 5 | Ability to design engineering problems, to develop methods to solve and to apply innovative methods of solutions | X | |||||
| 6 | Ability to develop new and original ideas and methods; the ability to develop innovative solutions in system, component or process design | ||||||
| 7 | Awareness of the new and developing practices of the profession; the ability to examine and learn when necessary | ||||||
| 8 | Understanding the social and environmental dimensions of engineering practices and the ability to adapt to the social environment | ||||||
| 9 | Comprehensive information on modern techniques and methods applied in engineering and their boundaries | ||||||
| 10 | The ability to transcribe the processes and outcomes of their work in a systematic and explicit way, either in writing or verbally, in the national and international contexts | ||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 50 |
| 1. Kısa Sınav | 15 |
| 1. Ödev | 15 |
| 1. Performans Görevi (Seminer) | 20 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 5 | 80 |
| Mid-terms | 1 | 2 | 2 |
| Quiz | 1 | 3 | 3 |
| Assignment | 1 | 8 | 8 |
| Performance Task (Seminar) | 1 | 10 | 10 |
| Final examination | 1 | 2 | 2 |
| Toplam İş Yükü | 153 | ||
| Toplam İş Yükü / 25 (Saat) | 6,12 | ||
| Dersin AKTS Kredisi | 6 | ||