Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST317STATISTICAL SOFTWARESCompulsory355
Level of Course Unit
First Cycle
Objectives of the Course
The aim of this course is to enable students to evaluate statistical methods with statistical software programs (MATLAB, MINITAB, SPSS, etc.).
Name of Lecturer(s)
Dr. Öğr. Üyesi Funda İŞÇİOĞLU Dr. Öğr. Üyesi Melis ZEYBEK
Learning Outcomes
11-To be able to understand the general structure of statistical preparation (MATLAB)
22-To be able to make basic planning, matrix operations and calculations with software
33-Understand the importance of data analysis with software
44-Visual presentation of results
55-Realizing the necessity and importance of statistical software
66-Ability to provide software
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
* MATLAB software, operation, data entry, data management, * MATLAB matrix guide, calculations * Creating frequency tables with MATLAB, graphics * Obtaining descriptive statistics with MATLAB * Theoretical distributions in MATLAB * Deriving data in MATLAB * Creating a table with MATLAB, analysis of variance in chi-square analysis * Regression analysis with MATLAB, correlation.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction to MATLAB software
2Basic operations in MATLAB
3Matrix operations in MATLAB
4Calculations in MATLAB
5Writing programs in MATLAB
6Working with data in MATLAB, mathematical functions and graphs
7To create frequency table with MATLAB, graph drawing, to calculate descriptive statistics
8Midterm exam
9Theoretical distributions in MATLAB (Probability density functions and probability functions, cumulative distribution functions, inverse cumulative distribution functions)
10Deriving data in MATLAB
11Interval estimation and hypothesis testing with MATLAB
12Interval estimation and hypothesis testing with MATLAB
13Creating cross tables with MATLAB, Chi-Square test
14Analysis of variance in MATLAB
15Regression analysis with MATLAB, correlation
16Final Exam
Recommended or Required Reading
COURSE BOOKS: 1. MATLAB ve İstatistiksel Veri Analizi, Dr.İpek Deveci Kocakoç, Nobel Yayın Dağıtım, Ankara, Şubat 2007 2. Getting Started with MATLAB, The MathWork,Inc., 2007 3. MATLAB, Statistics Toolbox 6, The MathWork,Inc., 2007 4. MATLAB, Curve Fitting Toolbox, The MathWork,Inc., 2006 AUXILIARY BOOKS: 1.MATLAB ile Programlama, Dr.Deniz Dal, Ekin Yayın Dağıtım, 2014 COURSE MATERIALS: İstatistiksel hazır yazılım programları
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Laboratory14228
Individual Study for Mid term Examination6530
Individual Study for Final Examination5840
Reading12448
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
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LO15              5        
LO2               5        
LO3    455     4  54      5
LO4               5    5   
LO5       5       5        
LO6       5       5        
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr