MDZ210 Probability and Statistics

4 ECTS - 2-0 Duration (T+A)- 4. Semester- 2 National Credit

Information

Code MDZ210
Name Probability and Statistics
Term 2024-2025 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
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ALİ İHSAN GENÇ
Course Instructor
1 2
Prof. Dr. ALİ İHSAN GENÇ (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

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 Students has sufficient knowledge on theoretical and applied subjects in the light of contemporary knowledge and scientific approaches in the field of mining.
PLO02 Beceriler - Bilişsel, Uygulamalı Applies the knowledge she has received in the field of mining in multidisciplinary studies to produce solutions to the problems she has encountered. 3
PLO03 Beceriler - Bilişsel, Uygulamalı Analyzes problems with the help of up-to-date information and makes inferences for solutions. 2
PLO04 Beceriler - Bilişsel, Uygulamalı It applies physical, chemical, mechanical and mineralogical analyzes in accordance with TSE standards in field studies or laboratory conditions. 3
PLO05 Beceriler - Bilişsel, Uygulamalı Has the ability to analyze the engineering plans.
PLO06 Beceriler - Bilişsel, Uygulamalı It dominates the machinery park in mining enterprises and can use them for the execution of mining activities.
PLO07 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Students has the ability to solve the problems she encounters by working individually or in a team with other disciplines.
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği It constantly follows the developments in the mining field, as it knows that the information is not static.
PLO09 Yetkinlikler - Öğrenme Yetkinliği It can use printed publications or databases to obtain the necessary information in mining processes. 1
PLO10 Yetkinlikler - Öğrenme Yetkinliği He/she carries out all his/her work in a planned way in order to constantly improve himself/herself and increase her knowledge level.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Uses computers and other electronic resources in mining.
PLO12 Yetkinlikler - Öğrenme Yetkinliği Uses at least one foreign language at B1 General Level in order to communicate and access information.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Performs technical drawings by thinking in three dimensions in the studies she has done in her field.
PLO14 Yetkinlikler - Öğrenme Yetkinliği It has the awareness of adhering to moral and ethical values while carrying out its mining activities.
PLO15 Yetkinlikler - Öğrenme Yetkinliği It is aware of the need to prioritize the environment and the health of employees, as it has an infrastructure on Occupational Health and Safety awareness in mining and their legal obligations.
PLO16 Yetkinlikler - Öğrenme Yetkinliği Knows that the solutions to the problems in the mining field affect societies and communities, so they have information about the innovative applications and models developed.


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


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

Update Time: 14.05.2024 11:07