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| Course Description |
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| Course Name |
: |
Probability And Statistics |
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| Course Code |
: |
MMD212 |
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| Course Type |
: |
Compulsory |
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| Level of Course |
: |
First Cycle |
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| Year of Study |
: |
2 |
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| Course Semester |
: |
Spring (16 Weeks) |
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| ECTS |
: |
3 |
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| Name of Lecturer(s) |
: |
Prof.Dr. ADEM ERSOY
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| Learning Outcomes of the Course |
: |
Understands the basic concepts used in statistics.
Organizes and presents data.
Has an understanding of domination average and distribution measures.
Has an understanding of probability and probability divisions domination.
Has an understanding of domination hypothesis testing.
Understands the correlation and regression analysis.
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| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
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. |
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| Course Contents |
: |
Explain to student statistical concepts and analysing methods used in geosciences especially in mining and geology areas, gaining capability over these methods. |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Classrooms Faculty of Engineering and Architecture |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Introduction to probability, the basic concepts in statistics |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
2 |
Sorting and grouping, series, charts, study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
3 |
Graphical presentation of data, frequency division, Study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
4 |
Arithmetic, plaid, harmonic and geometric means, study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
5 |
Mode, median, quantiles and percentiles, study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
6 |
Distribution range, mean deviation, variance, standard deviation, the study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
7 |
Midterm Exam |
written examination |
written examination |
|
8 |
The coefficient of variation, skewness, kurtosis, and study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
9 |
Point and interval estimates, z, t and chi-square distributions, study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
10 |
Probability theory and study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
11 |
Probability divisions, permutations, combinations, study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
12 |
Hypothesis testing, z and t distribution, study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
13 |
Simple regression analysis and hypothesis testing, study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
14 |
Correlation analysis, hypothesis testing and confidence limits of correlation, study questions |
Lecture notes and literature references cited |
Powerpoint presentations and face to face courses |
|
15 |
Final Exam |
written examination |
written examination |
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16/17 |
Final Exam |
written examination |
written examination |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 1. A. Ersoy, 2005, Olasılık ve İstatistik Ders Notları, (yayınlanmamaış), Çukurova Üniversitesi, Maden Mühendisliği Bölümü, Adana.
2. N. Yıldız, Ö. Akbulut, H. Bircan, 1999, İstatitiğe Giriş: Uygulamalı temel Bilgiler, Çözümlü ve cevaplı sorular, 2. Baskı, Aktif yayınları, Erzurum
3. H. Arıcı, 1997, İstatistik Yöntemler ve Uygulamlar, Meteksan yayınları, Ankara.
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| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
60 |
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Homeworks/Projects/Others |
10 |
40 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
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Final Assessments
|
100 |
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Rate of Final Assessments to Success
|
60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Students gain adequate knowledge about the engineering fields in the branches of mathematics, physical sciences or their own branches |
4 |
|
2 |
Students follow the current developments in their fields with a recognition of the need for lifelong learning and constantly improve themselves |
2 |
|
3 |
Students use the theoretical and practical knowledge in mathematics, physical sciences and their fields for engineering solutions |
4 |
|
4 |
Students choose and use the appropriate analytical mehtods and modelling techniques to identify, formulate, and solve the engineering problems |
4 |
|
5 |
Students design and carry out experiments, collect data, analyze and interpret the results. |
3 |
|
6 |
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 |
3 |
|
7 |
Students choose and use the modern technical tools necessary for engineering practice. |
4 |
|
8 |
Students gain the ability to work effectively both as an individual and in multi-disciplinary teams. |
4 |
|
9 |
Students use the resources of information and databases for the purpose of doing research and accesing information. |
4 |
|
10 |
Students follow the scientific and technological developments in recognition of the need for lifelong learning, and continuously keep their knowledge up to date. |
3 |
|
11 |
Students use the information and communication technologies together with the computer software at the level required by the European Computer Driving Licence. |
2 |
|
12 |
Students use a foreign language according to the general level of European Language Portfolio B1 to communicate effectively in oral and written form. |
1 |
|
13 |
Students gain the ability to communicate using technical drawing. |
1 |
|
14 |
Students become informed of professional and ethical responsibility. |
2 |
|
15 |
Students develop an awareness as regards project management, workplace practices, employee health, environmental and occupational safety; and the legal implications of engineering applications. |
3 |
|
16 |
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 |
2 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
|
Class Time (Exam weeks are excluded) |
13 |
3 |
39 |
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Out of Class Study (Preliminary Work, Practice) |
13 |
1 |
13 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
10 |
1 |
10 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
4 |
4 |
|
Final Exam |
1 |
4 |
4 |
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Total Workload: | 70 |
| Total Workload / 25 (h): | 2.8 |
| ECTS Credit: | 3 |
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