| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Probabılıty and Statıstıcs | IST 110 | 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 EMİNE ÇELİK |
| Dersi Verenler | Doç.Dr. BEYTULLAH EREN, Doç.Dr. MİTHAT TAKUNYACI, |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Alanına Uygun Temel Öğretim |
| Dersin Amacı | Providing students with the basics of data collection, data compilation, data summarization, data analysis, and probality applications |
| Dersin İçeriği | Introduction, collection of data, entering of the data, series, graphics, mean I, II, variability and division form, Index, probality and divisions, Binom distribution, Poisson distribution, Normal distribution |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Student will be able to classify raw data, determine frequency distribution; calculate and enterpret central location measurements, means, assimetry and skewness; plot graphics, histograms | Lecture, Question-Answer, Self Study, | Testing, Homework, |
| 2 | Student will be able to calculate determine probabilities from (discrete/continuous) probability mass functions, Binom, Poisson and Normal Distributions functions; enterpret assimetry andd skewness of distrubition. | Lecture, Question-Answer, Self Study, | Testing, Homework, |
| 3 | Student will be able to know hipotez testing and applyand enterpret testing for probability disrubitons. | Lecture, Question-Answer, Self Study, | Testing, Homework, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Example, population conceptions | |
| 2 | Data collection techniques | |
| 3 | Data presentation techniques (Diagrams, histograms, bar graphics, cumulative frekans graphics, distribution graphics X-Y) | |
| 4 | Evaulation of Data | |
| 5 | Analytical and non-analytical means, standard deviation, variance, Standard error, reliability | |
| 6 | Probability density functions | |
| 7 | Binominal, logaritmic, normal, poisson distributions | |
| 8 | Prediction and Hypothesis tests | |
| 9 | t-test, variance analysis (ANOVA) | |
| 10 | Correlation and regression | |
| 11 | Linear regression | |
| 12 | Nonlinear regression | |
| 13 | İllustration and variation of the data | |
| 14 | Applications |
| Kaynaklar | |
|---|---|
| Ders Notu | |
| Ders Kaynakları | |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Comprehend science and advanced mathematics subjects fundamental to engineering; An ability to apply knowledge of mathematics, science, and engineering to solve civil engineering problems | X | |||||
| 2 | An ability to analyze and model civil engineering systems specific problems, identify and define the appropriate requirements for their solutions. | X | |||||
| 3 | An ability to design, implement and evaluate a civil engineering systems, component, process or program that meets specified requirements. | ||||||
| 4 | Use the techniques, skills, and modern tools of engineering effectively and correctly in engineering practice | X | |||||
| 5 | An ability to gather/acquire, analyze, interpret data and make decisions to understand civil engineering problems | ||||||
| 6 | An ability to work effectively in inter- and in-disciplinary teams or individually. | ||||||
| 7 | An ability to communicate effectively in Turkish and English. | ||||||
| 8 | Recognition of the need for, and the ability to access information, to follow recent developments in science and technology and to engage in life-long learning. | ||||||
| 9 | An understanding of professional, legal, ethical and social issues and responsibilities related to computer engineering. | ||||||
| 10 | Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards and methodologies. | ||||||
| 11 | An understanding about the impact of Civil Engineering solutions in a global, environmental, societal and legal context while making decisions. | ||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 70 |
| 1. Kısa Sınav | 30 |
| 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 | 2 | 32 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 2 | 32 |
| Mid-terms | 1 | 18 | 18 |
| Assignment | 1 | 12 | 12 |
| Final examination | 1 | 30 | 30 |
| Toplam İş Yükü | 124 | ||
| Toplam İş Yükü / 25 (Saat) | 4,96 | ||
| Dersin AKTS Kredisi | 5 | ||