Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
PROBABILITY AND STATISTICS IST 110 2 3 + 0 3 5
 Dersin Dili Türkçe Dersin Seviyesi Lisans Dersin Türü ZORUNLU Dersin Koordinatörü Dr.Öğr.Üyesi BEYTULLAH EREN Dersi Verenler 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
 Dersin 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 1 - 2 - 14 - A - C - 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. 1 - 2 - 14 - A - C - 3 - Student will be able to know hipotez testing and applyand enterpret testing for probability disrubitons. 1 - 2 - 14 - A - C -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 14:Self Study Ölçme Yöntemleri: A:Testing C:Homework

#### Ders Akışı

Hafta Konular ÖnHazırlık
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

Ders Notu
Ders Kaynakları

#### Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
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

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 60
KisaSinav 1 10
Odev 1 20
KisaSinav 2 10
Toplam 100
Yıliçinin Başarıya Oranı 40
Finalin Başarıya Oranı 60
Toplam 100

#### AKTS - İş Yükü

Etkinlik Sayısı Süresi(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 20 20
Assignment 1 12 12
Final examination 1 30 30
Toplam İş Yükü 126
Toplam İş Yükü /25(s) 5.04
Dersin AKTS Kredisi 5.04
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