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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Statistics JLJ203 Compulsory Bachelor's degree 2 Fall 4

Name of Lecturer(s)

Associate Prof. Dr. Ahmet KARAKAŞ

Learning Outcomes of the Course Unit

1) Gain skills about using statistical methods
2) Analyse and interpret the data
3) Evaluate and present the data
4) Apply statistical test methods
5) Solve the correlation and regression problems

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Learning Outcomes
1 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation Middle Middle Low No relation No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation Middle Middle Low No relation No relation Low
3 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High High No relation No relation No relation Low
4 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High Middle No relation No relation No relation Low
5 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation Middle Middle Low No relation No relation Low

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

No

Course Contents

This course covers introduction to basic statistics, frequency distributions and graphical presentations, measure of central tendency (mode, median, arithmetic, geometric and harmonic mean) and dispersion (variance, standard deviation, mean deviation), probability concepts, discrete probability distributions, normal probabililiy distribution, sampling methods, test of hypotheses in small and large samples (z and t-student tests), chi-square test, analysis of variance tests, correlation and regression analysis.

Weekly Schedule

1) Historical development of statistics and importance in engineering
2) Introduction to basic statistics terms
3) Frequency Distrubitions and Display with Graphics
4) Central tendency (mod, median, aritmetic, harmonic and geometric means) and dispersion measures (variance, standard deviation, mean deviation)
5) Possibility theory
6) Continuous (normal, logarithmic) and discontinuous (binomial, poisson, hipergeometric) probabilty distrubitions
7) Sampling Methods
8) Midterm examination/Assessment
9) Hypothesis testing (z tests)
10) Hypothesis testing (t tests)
11) Problem practices
12) Analysis of Variance
13) Correlation Analysis
14) Regression Analysis
15) Problem practices
16) Final examination

Recommended or Required Reading

1- Köseoğlu M. Ve Yamak R, 2002, Uygulamalı İstatistik, Derya Kitapevi, Trabzon, 341 s.
2- Lind, D. A., Mason R. D., 1997, Basic Statistics for Business and Economics, 2nd Edition, Irwin McGraw-Hill, 597 p., U.S.A.
3- Jeoistatistik: Kavramlar ve Bilgisayarlı Uygulamalar, 2005, Tüysüz N. ve Yaylalı G., Karadeniz Teknik Üniversitesi, Jeoloji Müh. Böl., KTÜ Matbaası, Trabzon, 382 s.
4- Statistcs and Data Analysis in Geology (3rd Edition),2002, John C. Davis, John Wiley & Sons, Inc.
5- İstatistik : 870 çözülmüş problem, 1995, Speigel, M. R., Aydın Ayaydın (Türkçeye çeviren), Bilim Teknik Yayınevi, İstanbul, 581 s.
6- Ott, L., and Mendenhall, W., 1990, Understanding Statistics, PWS-Kent, Boston, 727 p.
7- Power Point Sunumlar
8- Power Point Presentations
9- Araştırma ve Okuma ödevleri
10- Research and reading assignments
11- 1 Vize, 1 Final
12- 1 Midterm, 1 Final

Planned Learning Activities and Teaching Methods

1) Drill and Practice
2) Lab / Workshop
3) Self Study
4) Problem Solving
5) Project Based Learning


Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

40%

 

Number

Percentage

Semester Studies

Midterm Examination

1

60%

Quiz

4

40%

 

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required