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Information
| Unit | FACULTY OF ENGINEERING |
| MINING ENGINEERING PR. | |
| Code | MDZ210 |
| Name | Probability and Statistics |
| Term | 2019-2020 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 | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. ALİ İHSAN GENÇ |
| Course Instructor |
Prof. Dr. ALİ İHSAN GENÇ
(Bahar)
(A Group)
(Ins. in Charge)
|
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
Yok
Resources
Notes
Ders Notu ve Kitaplar
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic concepts used in statistics. |
| LO02 | Organizes 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 | - | Students gain adequate knowledge about the engineering fields in the branches of mathematics, physical sciences or their own branches | 3 |
| PLO02 | - | Students use the theoretical and practical knowledge in mathematics, physical sciences and their fields for engineering solutions | 4 |
| PLO03 | - | Students choose and use the appropriate analytical mehtods and modelling techniques to identify, formulate, and solve the engineering problems | 3 |
| PLO04 | - | Students design and carry out experiments, collect data, analyze and interpret the results. | 4 |
| PLO05 | - | Students gain the capacity to analyze a system, a component, and desing the process under realistic constraints to meet the desired requirements; and the ability to apply the methods of modern design accordingly | 1 |
| PLO06 | - | Students choose and use the modern technical tools necessary for engineering practice. | 1 |
| PLO07 | - | Students gain the ability to work effectively both as an individual and in multi-disciplinary teams. | 3 |
| PLO08 | - | Students follow the current developments in their fields with a recognition of the need for lifelong learning and constantly improve themselves | 3 |
| PLO09 | - | Students use the resources of information and databases for the purpose of doing research and accesing information. | 5 |
| PLO10 | - | Students follow the scientific and technological developments in recognition of the need for lifelong learning, and continuously keep their knowledge up to date. | 3 |
| PLO11 | - | Students use the information and communication technologies together with the computer software at the level required by the European Computer Driving Licence. | 4 |
| PLO12 | - | Students use a foreign language according to the general level of European Language Portfolio B1 to communicate effectively in oral and written form. | 1 |
| PLO13 | - | Students gain the ability to communicate using technical drawing. | 1 |
| PLO14 | - | Students become informed of professional and ethical responsibility. | 4 |
| PLO15 | - | Students develop an awareness as regards project management, workplace practices, employee health, environmental and occupational safety; and the legal implications of engineering applications. | 1 |
| PLO16 | - | Students develop an awareness of the universal and social effects of engineering solutions and applications, the entrepreneurship and innovation subjects and gain knowledge of contemporary issues | 1 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to probability, the basic concepts in statistics | Lecture notes and literature references cited | |
| 2 | Sorting and grouping, series, charts, study questions | Lecture notes and literature references cited | |
| 3 | Graphical presentation of data, frequency division, Study questions | Lecture notes and literature references cited | |
| 4 | Arithmetic, plaid, harmonic and geometric means, study questions | Lecture notes and literature references cited | |
| 5 | Mode, median, quantiles and percentiles, study questions | Lecture notes and literature references cited | |
| 6 | Distribution range, mean deviation, variance, standard deviation, the study questions | Lecture notes and literature references cited | |
| 7 | The coefficient of variation, skewness, kurtosis, and study questions | Lecture notes and literature references cited | |
| 8 | Mid-Term Exam | Review the topics discussed in the lecture notes and sources | |
| 9 | Point and interval estimates, z, t and chi-square distributions, study questions | Lecture notes and literature references cited | |
| 10 | Probability theory and study questions | Lecture notes and literature references cited | |
| 11 | Probability divisions, permutations, combinations, study questions | Lecture notes and literature references cited | |
| 12 | Hypothesis testing, z and t distribution, study questions | Lecture notes and literature references cited | |
| 13 | Simple regression analysis and hypothesis testing, study questions | Lecture notes and literature references cited | |
| 14 | Correlation analysis, hypothesis testing and confidence limits of correlation, study questions | Lecture notes and literature references cited | |
| 15 | Correlation analysis, hypothesis testing and confidence limits of correlation, study questions | Lecture notes and literature references cited | |
| 16 | Term Exams | Review the topics discussed in the lecture notes and sources | |
| 17 | Term Exams | Review the topics discussed in the lecture notes and sources |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 20 |
| General Assessment | ||
| Midterm / Year Total | 100 | 20 |
| 1. Final Exam | - | 80 |
| 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 | ||