| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Probabılıty and Statıstıc | GDM 104 | 2 | 2 + 0 | 2 | 4 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Lisans |
| Dersin Türü | Zorunlu |
| Dersin Koordinatörü | Dr.Öğr.Üyesi ADEM ZENGİN |
| Dersi Verenler | Prof.Dr. NESRİN GÜLER, |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | Giving students the basics of ststistical thinking, giving the ability to apply the statistical language and tools to real life situations. Helping students to learn to summarize. display and conduct basic statistical calculations and interpretations. |
| Dersin İçeriği | Data collection, data display and summarization, basic probability calculations, hypothsis testing |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Comprehend collecting and organizing of engineering data | Lecture, Problem Solving, | Testing, Homework, |
| 2 | Comprehend and apply measures of central tendency Comprehend probability and Probability Distributions Analyze regression and correlation | Lecture, Self Study, Problem Solving, | Testing, Homework, |
| 3 | Comprehend and apply measures of variability | Lecture, Self Study, Problem Solving, | Testing, Homework, |
| 4 | Comprehend probability and Probability Distributions | Lecture, Question-Answer, Self Study, Problem Solving, | Testing, Homework, |
| 5 | Analyze regression and correlation | Lecture, Self Study, Problem Solving, | Testing, Homework, |
| 6 | Comprehend and apply the techniques of statistical quality control | Lecture, Brain Storming, Self Study, Problem Solving, | Testing, Homework, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction to Probability and Statistics, Basic Concepts | |
| 2 | Serial types, Arrangement of the data as a simple, frequency and grouped series | |
| 3 | Measures of Central Tendency (Arithmetic, Geometric, Harmonic, Quadratic means) | |
| 4 | Measures of central tendency not sensitive | |
| 5 | Measures of variability (Sensitive and Non-sensitive) | |
| 6 | Measures of variability (Sensitive) | |
| 7 | Standard deviation calculations | |
| 8 | Display data in charts | |
| 9 | Probability, Basic Concepts and introduction to probability distributions | |
| 10 | Continuous and discrete probability Distributions | |
| 11 | Simple Linear Regression and Correlation | |
| 12 | Statistical Quality Control | |
| 13 | Statistical Quality Control | |
| 14 | Statistical Quality Control |
| Kaynaklar | |
|---|---|
| Ders Notu | |
| Ders Kaynakları | [2]. Şahamet Bülbül, “Tamamlayıcı İstatistik”, 2000. |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledgein these areas in complex engineering problems. | X | |||||
| 2 | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | X | |||||
| 3 | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. | ||||||
| 4 | Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | ||||||
| 5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | ||||||
| 6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||
| 7 | Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | ||||||
| 8 | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | ||||||
| 9 | Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice. | ||||||
| 10 | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||
| 11 | Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | ||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Kısa Sınav | 10 |
| 2. Kısa Sınav | 10 |
| 3. Kısa Sınav | 10 |
| 1. Ara Sınav | 70 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 40 |
| 1. Final | 60 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 2 | 32 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 2 | 32 |
| Mid-terms | 1 | 10 | 10 |
| Assignment | 1 | 10 | 10 |
| Final examination | 1 | 10 | 10 |
| Toplam İş Yükü | 94 | ||
| Toplam İş Yükü / 25 (Saat) | 3,76 | ||
| Dersin AKTS Kredisi | 4 | ||