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Ders Tanımı
Ders  Kodu  Yarıyıl  T+U Saat  Kredi  AKTS 

ENGINEERING STATISTICSI  ENM 205  3  4 + 0  4  6 
Ön Koşul Dersleri  

Önerilen Seçmeli Dersler 
Dersin Dili  Türkçe 
Dersin Seviyesi  Lisans 
Dersin Türü  ZORUNLU 
Dersin Koordinatörü 
Dr.Öğr.Üyesi GÜLTEKİN ÇAĞIL 
Dersi Verenler 
Dr.Öğr.Üyesi GÜLTEKİN ÇAĞIL Dr.Öğr.Üyesi TİJEN ÖVER ÖZÇELİK 
Dersin Yardımcıları  
Dersin Kategorisi  
Dersin Amacı 
Introducing students to the probability theory, and teaching basic statistical concepts 
Dersin İçeriği 
Organizing and analyzing data, introduction to probability, rules of probability, random variables 
Dersin Öğrenme Çıktıları  Öğretim Yöntemleri  Ölçme Yöntemleri 
1  Student will be able to classify raw data, determine frequency distribution and calculate central location measurements and variability of data  1  2  3  4  5   A  C  
2  Student will be able to construct visual data displays including the histogram and box plot according to central location and variability measurements, and interpret frequency distribution of data  1  2  4  5   A  C  
3  Student will be able to calculate moments of data, and interpret skewness and kurtosis of distribution.  1  2  3  4  5   A  C  
4  Student will be able to understand and describe sample spaces and events for random experiments with graphs, tables, lists  1  2  3  4   A  C  
5  Student will be able to interpret probabilities and use probabilities of outcomes to calculate probabilities of events in discrete/ continuous sample spaces and and calculate conditional probabilities of events  1  2  3  4  5   A  C  
6  Student will be able to determine the independence of events and use independence to calculate probabilities  1  2  3  4   A  C  
7  Student will be able to use Bayes’ theorem to calculate conditional probabilities  1  2  3  4   A  C  
8  Student will be able to understand random variables  1  2  3  4   A  C  
9  Student will be able to determine probabilities from (discrete/continuous) probability mass functions and the reverse  1  2  3  4   A  C  
10  Student will be able to determine probabilities from cumulative distribution functions and cumulative distribution functions from probability mass functions, and the reverse  1  2  3  4   A  C  
11  Student will be able to calculate means and variances for discrete/continuous random variables  1  2  3  4  5   A  C  
12  Student will be able to use joint probability mass functions and joint probability density functions to calculate probabilities, and calculate marginal and conditional probability distributions from joint probability distributions  1  2  3  4  5   A  C  
13  Student will be able to interpret and calculate covariances and correlations between random variables  1  2  3  4  5   A  C  
14  Student will be able to calculate probabilities, determine means and variances for each of the discrete /continuous probability distributions presented  1  2  3  4  5   A  C  
15  Student will be able to select an appropriate discrete/continuous probability distribution to calculate probabilities in specific applications  1  2  3  4  5   A  C  
Öğretim Yöntemleri:  1:Lecture 2:QuestionAnswer 3:Discussion 4:Drilland Practice 5:Demonstration 
Ölçme Yöntemleri:  A:Testing C:Homework 
Ders Akışı
Hafta  Konular  ÖnHazırlık 

1  Introduction to basic concepts of statistics  
2  Organizing and analyzing data, Graphical representations and measures  
3  Measures of Central Tendency  
4  Deviation, Distribution, Variability  
5  Asymmetry and kurtosis Measurements  
6  Independent events, Conditional Probability, Bayes´ theorem  
7  Random variables and distribution of a random variable  
8  Conditional Probability, multiplication and Addition rule, and Bayes' Theorem  
9  Random Variable, Discrete and Continuous Probability Density Function  
10  Probability Distribution Function  
11  Distribution of Two or More Dimensional Random Variables  
12  Compound Probability Distribution Function and Mariginal Functions  
13  Expected Value and Moments  
14  Covariance and Correlation 
Kaynaklar 


Ders Notu 
www.gultekincagil.com lecture notes published on this link 

Ders Kaynakları 

Döküman Paylaşımı 

Dersin Program Çıktılarına Katkısı
No  Program Öğrenme Çıktıları  KatkıDüzeyi  

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.  X  
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 multidiscipline team,as well as who are able to work individually  
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 lifelong learning and having known significance of continuous education beyond undergraduate studies for science and technology  
9  Engineering graduates with wellstructured 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.  X  
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
YARIYIL İÇİ ÇALIŞMALARI  SIRA  KATKI YÜZDESİ 

AraSinav  1  50 
KisaSinav  1  10 
Odev  1  10 
KisaSinav  2  10 
Odev  2  10 
Odev  3  10 
Toplam  100  
Yıliçinin Başarıya Oranı  50  
Finalin Başarıya Oranı  50  
Toplam  100 
AKTS  İş Yükü
Etkinlik  Sayısı  Süresi(Saat)  Toplam İş yükü(Saat) 

Course Duration (Including the exam week: 16x Total course hours)  16  3  48 
Hours for offtheclassroom study (Prestudy, practice)  16  3  48 
Midterms  1  10  10 
Assignment  6  6  36 
Performance Task (Laboratory)  1  5  5 
Final examination  1  5  5 
Toplam İş Yükü  152  
Toplam İş Yükü /25(s)  6.08  
Dersin AKTS Kredisi  6.08 