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| MINE3008 | Engineering Statistics | 2+1+0 | ECTS:3 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of MINING ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures and 1 hour of practicals per week | | Lecturer | Doç. Dr. Ferdi CİHANGİR | | Co-Lecturer | None | | Language of instruction | | | Professional practise ( internship ) | None | | | | The aim of the course: | | Provide solutions to mining problems using the appropriate statistical approaches and methods. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Classify and characterize the data, present the data in graphics, | 4,5 | 1, | | LO - 2 : | Learn the basic concepts of statistics | 4,5 | 1, | | LO - 3 : | Learn and apply basic statistical test methods to mining problems, | 4,5 | 1, | | LO - 4 : | Compare two or more groups, learn correlation and regression and their applications | 4,5 | 1, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Basic concepts in statistics, data collection-classification-presentation, statistical parameter analysis, important distributions and their properties, basic statistical test methods and application to mining problems, comparisons of two or more groups, correlation and regression applications. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to statistics, basic concepts of statistics (Population, sample, variable, data, mean, variance) | | | Week 2 | Introduction to statistics, basic concepts of statistics (Population, sample, variable, data, mean, variance) | | | Week 3 | Sampling of data, sampling-random sampling tests, summarizing data - frequency distributions , construction of frequency tables, histogram, graphical presentation, pie charts, Statistical analysis of parameters (arithmetic mean, geometric mean, median, mode) | | | Week 4 | Statistical parameter analysis (variance, standard deviation, skewness, kurtosis, quarters, percent) | | | Week 5 | Important distributions, the distribution of the sample mean, population parameter estimation, and properties of the normal distribution curve | | | Week 6 | Data conversion to normalize the data | | | Week 7 | The normal distrubition/standard normal distribution and probability, Z-test, significance test of population mean, | | | Week 8 | Confidence interval. Hypothesis testing. and probability | | | Week 9 | Mid-term exam | | | Week 10 | Z-test, significance test of population mean, | | | Week 11 | T table, serbestlik derecesi ve önemi, one sample t-test, matched pairs t-test procedures, independent samples t-test, | | | Week 12 | F-test, analysis of variance, variance homogeneity test, analysis of variance between groups (ANOVA) | | | Week 13 | Correlation, simple correlation, partial correlation | | | Week 14 | Simple regression analysis, curve fitting | | | Week 15 | Simple regression analysis, curve fitting | | | Week 16 | End-of-term exam | | | |
| 1 | Tüysüz, N., Yaylalı, G. 2005; Jeoistatistik-Kavramlar ve bilgisayarlı uygulamalar, KTÜ yayınları, No 220, Trabzon | | | 2 | Clark, I., 1984. Practical Geostatistics, Department of Mineral Resources Engineering, Royal School of Mines, Imperial Collage of Science and Technology, London, UK, Elsevier Applied Science Publishers, London and New York. . | | | |
| 1 | Marsal, D., Statistics for Geoscientists, Universitaet Stutgart, Springer-Verlag Berlin Heidelberg New York. (Translated by Prof. Dr. Yavuz ERKAN, Hacettepe Üniversitesi, Mühendislik Fakültesi, 1990). | | | 2 | Wellmer, F. W., 1998. Statistical Evaluations in Exploration for Mineral Deposits, D-30655, Hannover, Germany. (translated by Dr. Duncan Large, D-38116, Braunschweig, Germany) | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 26/04/2023 | 2 | 50 | | End-of-term exam | 16 | 15/06/2023 | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 10 | 30 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 1 | 8 | 8 | | Arasınav | 2 | 1 | 2 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 0 | 0 | 0 | | Proje | 0 | 0 | 0 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 1 | 6 | 6 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 90 |
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