Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
---|---|---|---|---|---|
Probabılıty and Statıstıcs | JFM 102 | 2 | 3 + 0 | 3 | 5 |
Ön Koşul Dersleri | |
Önerilen Seçmeli Dersler | |
Dersin Dili | Türkçe |
Dersin Seviyesi | Lisans |
Dersin Türü | Zorunlu |
Dersin Koordinatörü | Dr.Öğr.Üyesi MAHİR IŞIK |
Dersi Verenler | Dr.Öğr.Üyesi MAHİR IŞIK, |
Dersin Yardımcıları | |
Dersin Kategorisi | Diğer |
Dersin Amacı | Preparing data for interpretation by using the necessary methods and techniques of probability and statistics. |
Dersin İçeriği | Classification of observed data, generation of random data, main statistical concepts; average value, variance, standard deviation etc., statistical methods; Gauss distiribution, Student-t distiribution, Chi-square test etc., approximation methods; linear approximation and least squares method etc., interpolation methods; linear interpolation, Lagrange interpolation method etc., correlation and its types. |
# | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
---|---|---|---|
1 | He/She distinguishes data types, | Lecture, Question-Answer, | Testing, Homework, |
2 | He/She applies statistical methods, | Simulation, Drilland Practice, Question-Answer, Lecture, | Testing, Homework, |
3 | He/She defines interpolation methods, | Drilland Practice, Question-Answer, Lecture, | Homework, Testing, |
4 | He/She applies correlation process. | Drilland Practice, Question-Answer, Lecture, | Homework, Testing, |
Hafta | Ders Konuları | Ön Hazırlık |
---|---|---|
1 | Classification of observed data | |
2 | Classification of observed data | |
3 | Generation of random data | |
4 | Generation of random data | |
5 | Main statistical concepts; average value, variance, standard deviation etc. | |
6 | Main statistical concepts; average value, variance, standard deviation etc. | |
7 | Statistical methods; Gauss and Student-t distributions, Chi-square test etc. | |
8 | Statistical methods; Gauss and Student-t distributions, Chi-square test etc. | |
9 | Approximation methods; linear approximation and least squares method etc. | |
10 | Approximation methods; linear approximation and least squares method etc. | |
11 | Interpolation methods; linear interpolation, Lagrange interpolation method etc. | |
12 | Interpolation methods; linear interpolation, Lagrange interpolation method etc. | |
13 | Correlation and its types | |
14 | Correlation and its types |
Kaynaklar | |
---|---|
Ders Notu | |
Ders Kaynakları |
Sıra | Program Çıktıları | Katkı Düzeyi | |||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |||
1 | -Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. | X | |||||
2 | -Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. | X | |||||
3 | -Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. | X | |||||
4 | -Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. | ||||||
5 | -Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. | X | |||||
6 | -Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually | X | |||||
7 | -Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language | ||||||
8 | -Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology | ||||||
9 | -Engineering graduates with well-structured responsibilities in profession and ethics | ||||||
10 | -Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. | ||||||
11 | -Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. |
Değerlendirme Sistemi | |
---|---|
Yarıyıl Çalışmaları | Katkı Oranı |
1. Ara Sınav | 60 |
1. Kısa Sınav | 10 |
1. Ödev | 20 |
2. Kısa Sınav | 10 |
Toplam | 100 |
1. Yıl İçinin Başarıya | 60 |
1. Final | 40 |
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 | 2 | 32 |
Mid-terms | 1 | 15 | 15 |
Quiz | 2 | 5 | 10 |
Final examination | 1 | 20 | 20 |
Assignment | 1 | 10 | 10 |
Toplam İş Yükü | 135 | ||
Toplam İş Yükü / 25 (Saat) | 5,4 | ||
Dersin AKTS Kredisi | 5 |