IEM723 Computer Applied Statistical Methods

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code IEM723
Name Computer Applied Statistical Methods
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜLSEN KIRAL


Course Goal / Objective

The aim of the course is to train students in the solution of statistical techniques with the help of computer. In this way, the data obtained from the research can be easily analyzed through computer.

Course Content

This lesson covers one-way and two-way univariate Anova, one-way and two-way multivariate analysis of variance, analysis of covariance, reliability analysis, factor analysis, linear and logistic regression simple and multiple regression and correlation analysis and theirs SPSS applications

Course Precondition

There are no prerequisites.

Resources

Green S. B., Salkind N. J., 2014, Using SPSS for Windows and Macintosh

Notes

Source books, statistical packages


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Interpret statistical problems by modeling.
LO02 Organizes and analyzes datasets.
LO03 makes statistical analysis and interpret the results.
LO04 It predicts differences between analyses.
LO05 Interpret statistical package programs effectively.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains contemporary concepts about Econometrics, Statistics, and Operation Research 5
PLO02 Bilgi - Kuramsal, Olgusal Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research 5
PLO03 Bilgi - Kuramsal, Olgusal Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 1
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 3
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 4
PLO07 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research 4
PLO08 Beceriler - Bilişsel, Uygulamalı Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution 5
PLO09 Beceriler - Bilişsel, Uygulamalı Searches for new approaches and methods to solve problems being faced 3
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 2
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way 3
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Converts its findings into a master's thesis or a professional report in Turkish or a foreign language
PLO13 Beceriler - Bilişsel, Uygulamalı Develops solutions for organizations using Econometrics, Statistics, and Operation Research 1
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team 3
PLO16 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code 3
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues 4
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values 4


Week Plan

Week Topic Preparation Methods
1 Statistical data analysis using the program Statistical Package Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
2 Introduction to Data analysis Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Editing the data and descriptive statistics Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 The form of frequency tables and data analysis Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Statistical measure of the relationship Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Comparison of the mean values Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Homework presentation Examining the relevant chapter in the book Öğretim Yöntemleri:
Soru-Cevap
8 Mid-Term Exam Examining the relevant chapter in the book Ölçme Yöntemleri:
Yazılı Sınav
9 One-way analysis of variance Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Regression analysis and correlation Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 General linear models Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Experiments repeated measurements made on all the factors Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Applications at the computer lab. Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Analysis of mixed design and experiments Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 computer applications Examining the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Term Exams Examining the relevant chapter in the book Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Examining the relevant chapter in the book Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 09.05.2024 04:21