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Bachelor's Degree
Geological Engineering
Course Structure Diagram with Credits
Geostatistic Course Details
Course Information  

Course Title  Code  Semester  T + P  ECTS 
Geostatistic  JEL214  3  2 + 0  1 
Prerequisites  None 
Language  Turkish 
Level  Bachelor's Degree 
Type  Compulsory 
Coordinator  Assist.Prof. İBRAHİM BUZKAN 
Instructors  Assist.Prof. İBRAHİM BUZKAN 
Goals  Identify and apply appropriate statistical method in solving geological problems 
Contents  Geological Engineering applications, the classical statistics, the topics covered in the course: the data distributions, basic statistical parameters (mean, purple, square, standard error, variance, eşvaryans, v, b) the concept of variable normal mountainous, Binomial distribution, Poisson distribution, the chiDistribution of the square, statistical tests (ttest, ttest, significance tests, regular / irregular random variability tests, nonparametric tests), analysis of variance (one / twoway analysis of variance), correlation, regression, experimental design, geological sampling The concept of variogram accounts (one / two / threedimensional), modeling and simulation techniques krigingentry. 
Work Placement(s)  Absent 
Number  Learning Outcomes 
1  Prepare a graphical representation of the data 
2  Organize and interpret data 
3  Explain the use of statistical data of unknown geologic events 
Mode of Delivery  FacetoFace 
Planned Learning Activities & Teaching Methods  Face to face 
Assessment Methods  Midterm exam and a final exam 
Course Content  

Week  Topics  Study Materials 
1  Introduction to statistics, statistical concepts (population, for example, variables, data, measurement), Statistics Types  None 
2  Presentation of data  Frequency distribution and graphical presentation, frequency tables, histograms, frequency and cumulative frequency graphs and diagrams, the preparation of a circular  None 
3  Measures of central tendency (arithmetic mean, geometric mean, median, mode)  None 
4  Distribution parameters (standard deviation, variance and standard deviation features, graphical standard deviationskewness, kurtosiskurtosis coefficients calculation, quarters, percent)  None 
5  Rules of Probability Probability (Addition rule, multiplication rule) Probability trees, Bayes theorem, the mathematical expectation, Permutations, Combinations  None 
6  Probability Distributions Binomial distribution, Poisson distribution, the negative binomial distribution, geometric distribution  None 
7  Sampling and statistical estimation theory, random samplingrandom sampling, testing, central limit theorem  None 
8  The distribution of the sample mean, the estimated population parameters  None 
9  Midterm exam  
10  Z test  None 
11  Ttestmateriality test, the presence of degrees of freedom, T table, based on a single sample ttest for paired ttest, twosample ttest for independent  None 
12  Chisquare test  None 
13  CorrelationSimple correlation, scatter diagrams, the preparation, the correlation coefficient calculation, testing the significance of the correlation coefficient  None 
14  Simple regression analysis, regression analysis table, the regression line drawn  None 

Sources  

Textbook  Tüysüz, N., Yaylalı, G. 2005; JeoistatistikKavramlar ve bilgisayarlı uygulamalar, KTÜ yayınları, No 220, Trabzon 
Additional Resources  Tıll, R., 1980, 'Statistical Methods For The Eerth Scientist An İntroduction'The Macmillan Press, London. 
Assessment System  Quantity  Percentage 

InTerm Studies  
Midterms  1  40 
InTerm Total  1  40 
Contribution of InTerm Studies to Overall  40  
Contribution of Final Exam to Overall  60  
Total  100 
Course's Contribution to PLO  

No  Key Learning Outcomes  Level  
1  2  3  4  5  
1  Has the sufficient background on mathematics, science and engineering in his own branch.  x  
2  Makes use of conceptual and applied knowledge in mathematics, science and in his own area in accordance for engineering solutions.  x  
3  Determines, defines, formulates and solves problems in engineering; fort his aim selects and applies the appropriate analytical models and modeling techniques.  x  
4  Analyses a system, system component or process and in order to meet the requirements, designs under realistic conditions; thus applies modern techniques of design.  x  
5  Selects and uses modern techniques and devices necessary for engineering applications.  x  
6  Designs and carries out experiments, collects data, analyzes and comments on the findings.  x  
7  Works effectively and individually on multi disciplinary teams.  x  
8  Accesses knowledge, and to do this, does research, uses databases and other data sources.  
9  Is aware of the importance of lifelong learning; follows advances in science and technology and updates his knowledge continuously.  x  
10  Uses communication and information technology at least at advanced level of European Computer Driving License.  x  
11  Communicates effectively both orally and in writing; uses a foreign language at least at B1 level of European Language Portfolio.  x  
12  Communicates using technical drawing.  x  
13  Is aware of the universal and social effects of engineering solutions and applications; is aware of entrepreneurship and innovativeness and is knowledgeable about the problems of the current age.  x  
14  Has the awareness of Professional ethics and responsibility.  
15  Has awareness about Project management, workplace applications, health of workers, environment and work security; and about legal consequences of engineering applications.  x 
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION  

Activities  Quantity  Duration (Hour)  Total Work Load (h) 
Course Duration  13  2  26 
Hours for offtheclassroom study (Prestudy, practice)  3  2  6 
Final examination  1  7  7 
Total Work Load (h)  39  
Total Work Load / 30 (h)  1.3  
ECTS Credit of the Course  1 