          Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits İST317 STATISTICAL SOFTWARES Compulsory 3 5 5
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
 1 1-To be able to understand the general structure of statistical preparation (MATLAB) 2 2-To be able to make basic planning, matrix operations and calculations with software 3 3-Understand the importance of data analysis with software 4 4-Visual presentation of results 5 5-Realizing the necessity and importance of statistical software 6 6-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
 Week Theoretical Practice Laboratory 1 Introduction to MATLAB software 2 Basic operations in MATLAB 3 Matrix operations in MATLAB 4 Calculations in MATLAB 5 Writing programs in MATLAB 6 Working with data in MATLAB, mathematical functions and graphs 7 To create frequency table with MATLAB, graph drawing, to calculate descriptive statistics 8 Midterm exam 9 Theoretical distributions in MATLAB (Probability density functions and probability functions, cumulative distribution functions, inverse cumulative distribution functions) 10 Deriving data in MATLAB 11 Interval estimation and hypothesis testing with MATLAB 12 Interval estimation and hypothesis testing with MATLAB 13 Creating cross tables with MATLAB, Chi-Square test 14 Analysis of variance in MATLAB 15 Regression analysis with MATLAB, correlation 16 Final Exam
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 Activities Quantity Weight Midterm Examination 1 100 SUM 100 End Of Term (or Year) Learning Activities Quantity Weight Final Sınavı 1 100 SUM 100 Term (or Year) Learning Activities 40 End Of Term (or Year) Learning Activities 60 SUM 100
Language of Instruction
Turkish
Work Placement(s)
None 