Course ID:
Course Code & Number
MATH 512
Course Title
Statistics
Level
MS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 7.5 ECTS Credits
Year of Study:
Master
Semester:
Fall
Type of Course:
Elective
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: NONE
Co-requisites: NONE
Catalog Description
Basics concepts of statistics. Science, scientific method, Data, data sources. Qualitative and quantitative variables. Scales. Data organizations. Descriptive statistics. Probability and distributions. Sampling. Estimation methods and hypnothesis testing. Correlation. Regression. Significance testing. Analysis of variance and statistical program packages, applications.
Course Objectives
Software Usage
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Explain the fundamental statistical concepts covered throughout the course.
2. Use graphical and numerical methods to summarize data.
3. Calculate the probabilities of events under natural assumptions on the population.
4. Analyze data sets to make inference about characteristics of a population.
5. Apply statistical techniques in problems of interest and obtain useful conclusions.
6. Use SPSS program to analyze data sets
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Questioning
Reading
Peer Teaching
Inquiry
Collaborating
Oral Presentations/Reports
Web Searching
Assessment Methods and Criteria:
Test / Exam
Lab Assignment
Assessment Methods and Criteria Others:
Design Content
Recommended Reading
Required Reading
1. Büyüköztürk, Ş. (2012). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma Deseni SPSS Uygulamaları ve Yorum. Ankara: Pegem Yayınevi.
Grading
Final Exam - 40%
Quiz - 10%
Lab Work - 30%
Writing assignments (Oral, Poster) - 20%
Learning Activities and Teaching Methods Others:
Course Coordinator:
Student Workload:
| Workload | Hrs |
|---|---|
| Debate | 10 |
| Observation | 5 |
| Report on a Topic | 18 |
| Case Study Analysis | 20 |
Course & Program Learning Outcome Matching: