TÜRKÇE
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Information
| Unit | FACULTY OF ENGINEERING |
| MINING ENGINEERING PR. | |
| Code | MDZ210 |
| Name | Probability and Statistics |
| Term | 2025-2026 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | BS Basic Science Courses C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. ALİ İHSAN GENÇ |
| Course Instructor |
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
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Course Goal / Objective
To explain the statistical concepts and analysing methods used in geosciences especially in mining and geology areas, for helping students gain capability over these methods.
Course Content
Explain to student statistical concepts and analysing methods used in geosciences especially in mining and geology areas, gaining capability over these methods.
Course Precondition
None
Resources
Olasılık ve İstatistik, Fikri Akdeniz, Nobel Kitabevi, 2012.
Notes
Olasılık ve İstatistiğe Giriş, Sheldon M. Ross, 2012, Nobel Yayınevi.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic concepts used in statistics. |
| LO02 | Organizes and summarizes data. |
| LO03 | Computes the measures of central tendency and dispersion. |
| LO04 | Explains the notion of probability. |
| LO05 | Performs a hypothesis testing. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | PÇ1. (a) Adequate knowledge of mathematics, basic sciences, and discipline-specific topics in Mining Engineering; PÇ1. (b) the ability to use theoretical and applied knowledge in these areas for solving complex engineering problems. | 5 |
| PLO02 | Beceriler - Bilişsel, Uygulamalı | PÇ2. (a) Ability to identify, formulate, and solve complex problems in Mining Engineering; PÇ2. (b) ability to select and apply appropriate analysis and modeling methods for this purpose. | |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | PÇ3. (a) Ability to design a complex system, process, device, or product to meet specified requirements under realistic constraints and conditions; PÇ3. (b) ability to apply modern design methods for this purpose. | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | PÇ4. (a) Ability to select and use modern technical tools necessary for the analysis and solution of complex problems encountered in Mining Engineering applications; PÇ4. (b) ability to effectively use information technologies. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | PÇ5. Ability to design experiments, conduct experiments, collect data, analyze and interpret results for the investigation of problems specific to Mining Engineering. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | PÇ6. (a) Ability to work effectively in disciplinary (Mining Engineering) and multidisciplinary teams; PÇ6. (b) ability to work individually. | |
| PLO07 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | PÇ7. (a) Ability to communicate effectively in Turkish, both orally and in writing; PÇ7. (b) knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, deliver effective presentations, and give and receive clear and understandable instructions. | |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | PÇ8. Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and continuously improve oneself. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | PÇ9. Ability to act in accordance with the ethical principles of Mining Engineering; knowledge of professional and ethical responsibilities and of the standards used in engineering practice. | |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | PÇ10. Knowledge of business-life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | PÇ11. Knowledge of the impacts of Mining Engineering practices on health, environment, and safety at universal and societal levels, as well as contemporary issues in engineering; awareness of the legal consequences of Mining Engineering solutions. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to probability, the basic concepts in statistics | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 2 | Sorting and grouping, series, charts, study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 3 | Graphical presentation of data, frequency division, Study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 4 | Arithmetic, plaid, harmonic and geometric means, study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 5 | Mode, median, quantiles and percentiles, study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 6 | Distribution range, mean deviation, variance, standard deviation, the study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 7 | The coefficient of variation, skewness, kurtosis, and study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Point and interval estimates, z, t and chi-square distributions, study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 10 | Probability theory and study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 11 | Probability divisions, permutations, combinations, study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 12 | Hypothesis testing, z and t distribution, study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 13 | Simple regression analysis and hypothesis testing, study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 14 | Correlation analysis, hypothesis testing and confidence limits of correlation, study questions | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 15 | Correlation analysis, hypothesis testing and confidence limits of correlation, study questions II | Lecture notes and literature references cited | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
Assessment (Exam) Methods and Criteria
Current term shares have not yet been determined. Shares of the previous term are shown.
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 88 | ||
| Total Workload / 25 (h) | 3,52 | ||
| ECTS | 4 ECTS | ||