Undergraduate
Vocational School of Technical Sciences
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Main Page / Program Curriculum / PROBABILITY AND STATISTIC

PROBABILITY AND STATISTIC

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
TET3916 3 PROBABILITY AND STATISTIC 2/1/0 CC 3
Course Goals
It is aimed to explain the definition of statistics to the student correctly, to teach the basic statistical concepts, to show the student how statistical applications and probability calculations in our daily life are useful and how important they are.
Prerequisite(s) Basic math knowledge
Corequisite(s) -
Special Requisite(s) -
Instructor(s) Dr.LecturerYeliz Sevimli Saitoğlu
Course Assistant(s) -
Schedule Monday; 13:00-15:45, 2A08
Office Hour(s) Monday; 11:00-12:00-İncirli Campus Office No: 2A05
Teaching Methods and Techniques

Giving theoretical information about the courses
The applications on the computer
The problem solving with students on board and the computer by SPSS package program
SPSS end excel analysis done with the help of over the actual data  from  www.tuik.gov.tr ​​

Principle Sources

 Serper Özer, Uygulamalı İstatistik I, Ezgi Kitabevi, Bursa
Akın Fahamet, Sosyal Bilimlerde İstatistik, 2002, ISBN 975-7338-91-5, Ekin Kitabevi, Bursa

Other Sources

Dündar Durmuş, Çağlar Nazan,  İstatistik(Temel Bilgiler, Yöntemler ve Uygulamalar), 2008, ISBN 978-975-353-351-5, Der Yayınevi, İstanbul 

Course Schedules
Week Contents Learning Methods
1. Week Basic Definition and Concepts Oral presentation
2. Week processing of data (Classification and Grouping) Oral presentation
3. Week Statistical tables and graphics, series Oral presentation
4. Week Time Series-Location Series-Frequency (Division) Series Oral presentation
5. Week Averages: Analytical Averages Oral presentation
6. Week Averages: Non-analytical Averages Oral presentation
7. Week Measures of Variability (Standard Deviation-Variance-Coefficient of Variation) Oral presentation
8. Week Midterm exam exam
9. Week Sampling Methods Oral presentation
10. Week Indices (Location and Time Indices) Oral presentation
11. Week Indices (Fixed and Variable Based Indices) Oral presentation
12. Week Compound Indices Oral presentation
13. Week Probability Theory Oral presentation
14. Week Probability Theory Oral presentation
15. Week Probability Theory Oral presentation
16. Week Simple Linear Regression and Correlation Analysis Oral presentation
17. Week Final exam exam
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 40
Final Exam 1 60


Program Outcomes
PO-1Installation of electrical and electronic systems
PO-2Taking baseline measurements
PO-3Setting up digital circuits
PO-4Setting up analog circuits
PO-5Ability to set up microprocessor circuits and program
PO-6Installation of electric motors and experiments
PO-7Setting up systems of control circuits
PO-8Gaining professional experience and manual dexterity
PO-9Gaining practical circuit installation experience
Learning Outcomes
LO-1To teach the purpose of statistical methodology
LO-2understanding the basic concepts and subjects of statistics and probability science
LO-3To teach how to interpret numerical indicators (statistical outputs)
LO-4To teach how to summarize all kinds of data with tables and graphs
LO-5To be able to educate students who will understand how important statistics are firstly in terms of science, and then in terms of state administration and business life.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9