| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Mühendisler İçin Olasılık ve İstatistik | BSM 529 | 0 | 3 + 0 | 3 | 6 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | YUKSEK_LISANS |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Dr.Öğr.Üyesi MUSTAFA AKPINAR |
| Dersi Verenler | Dr.Öğr.Üyesi MUSTAFA AKPINAR, |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | Gaining the required probability and statistics knowledge to be able to realize scientific and engineering studies. |
| Dersin İçeriği | Introduction to Statistics, Descriptive Statistics, Elements of Probability, Random Variables and Expectation, Special Random Variables, Distributions of Sampling Statistics, Parameter Estimation, Hypothesis Testing, Regression, Analysis of Variance, Goodness of Fit Tests and Categorical Data Analysis, Non Parametric HypothesisTests, Quality Control, LifeTesting |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Learns the concepts of probability and statistics | Lecture, Question-Answer, Problem Solving, | Testing, Homework, |
| 2 | Defines the mathematical models of complex probability problems | Lecture, Question-Answer, Problem Solving, | Testing, Homework, |
| 3 | Calculates the expected value and variance of repeating events' results | Lecture, Question-Answer, Problem Solving, | Testing, Homework, |
| 4 | Offers solution to the computer engineering problems | Lecture, Question-Answer, Problem Solving, | Testing, Homework, |
| 5 | Solves probability problems by using software | Lecture, Question-Answer, Problem Solving, | Testing, Homework, |
| 6 | Gains the ability to solve problems by using theoretical and statistical technics | Lecture, Question-Answer, Problem Solving, | Testing, Homework, |
| 7 | Can analyse data by using statistical methods | Lecture, Question-Answer, Problem Solving, | Testing, Homework, |
| 8 | Can for hypothesis tests and solve them | Lecture, Question-Answer, Problem Solving, | Testing, Homework, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction to Statistics | |
| 2 | Descriptive Statistics | |
| 3 | Elements of Probability | |
| 4 | Random Variables and Expectation | |
| 5 | Special Random Variables | |
| 6 | Distributions of Sampling Statistics | |
| 7 | Parameter Estimation | |
| 8 | Hypothesis Testing | |
| 9 | Regression | |
| 10 | Analysis of Variance | |
| 11 | Goodness of Fit Tests and Categorical Data Analysis | |
| 12 | Non Parametric HypothesisTests | |
| 13 | Quality Control | |
| 14 | LifeTesting |
| Kaynaklar | |
|---|---|
| Ders Notu | Olasılık ve İstatistiğe Giriş Mühendisler ve Fenciler İçin, Sheldon M. Ross, Çeviri Editörleri: Prof. Dr. Salih Çelebioğlu, Prof. Dr. Reşat Kasap, 4. Basımdan Çeviri, Nobel, 2012 Introduction to Probability and Statistics for Engineers and Scientists, Sheldon M. Ross, Academic Press. |
| Ders Kaynakları | Olasılık ve İstatistiğe Giriş Mühendisler ve Fenciler İçin, Sheldon M. Ross, Çeviri Editörleri: Prof. Dr. Salih Çelebioğlu, Prof. Dr. Reşat Kasap, 4. Basımdan Çeviri, Nobel, 2012 Introduction to Probability and Statistics for Engineers and Scientists, Sheldon M. Ross, Academic Press. |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study | X | |||||
| 2 | ability to complete and implement “limited or incomplete data” by using the scientific methods. | X | |||||
| 3 | ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them | X | |||||
| 4 | ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process | ||||||
| 5 | gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering | X | |||||
| 6 | ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process | X | |||||
| 7 | gain high level ability to define the required information and data | X | |||||
| 8 | ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations | ||||||
| 9 | systematic and clear verbal or written transfer of the process and results of studies at national and international environments | X | |||||
| 10 | aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement | X | |||||
| 11 | aware of new and developing application of profession and ability to analyze and study on those applications | X | |||||
| 12 | ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment | X | |||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 35 |
| 1. Ödev | 10 |
| 1. Performans Görevi (Seminer) | 30 |
| 1. Proje / Tasarım | 25 |
| 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 | 3 | 48 |
| Mid-terms | 1 | 18 | 18 |
| Assignment | 2 | 15 | 30 |
| Toplam İş Yükü | 144 | ||
| Toplam İş Yükü / 25 (Saat) | 5,76 | ||
| Dersin AKTS Kredisi | 6 | ||