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 chi-Distribution of the square, statistical tests (t-test, t-test, significance tests, regular / irregular random variability tests, nonparametric tests), analysis of variance (one / two-way analysis of variance), correlation, regression, experimental design, geological sampling The concept of variogram accounts (one / two / three-dimensional), modeling and simulation techniques kriging-entry.
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 Face-to-Face
Planned Learning Activities & Teaching Methods Face to face
Assessment Methods Mid-term 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 deviation-skewness, kurtosis-kurtosis 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 sampling-random sampling, testing, central limit theorem None
8 The distribution of the sample mean, the estimated population parameters None
9 Mid-term exam
10 Z test None
11 T-test-materiality test, the presence of degrees of freedom, T table, based on a single sample t-test for paired t-test, two-sample t-test for independent None
12 Chi-square test None
13 Correlation-Simple 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

Textbook Tüysüz, N., Yaylalı, G. 2005; Jeoistatistik-Kavramlar 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
In-Term Studies
Mid-terms 1 40
In-Term Total 1 40
Contribution of In-Term 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

Activities Quantity Duration (Hour) Total Work Load (h)
Course Duration 13 2 26
Hours for off-the-classroom study (Pre-study, 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