E-posta : eris@uludag.edu.tr Telefon: 0 224 29 41101 Adres: Bursa Uludağ Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü,16059, Görükle/Bursa.
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Website:
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Objective of the Course:
To apply the subjects learned in Descriptive Statistics and Inferential Statistics with R program and to interpret the findings.
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Contribution of the Course to Professional Development
Statistical methods and techniques of education is to give the students can apply to their fields.
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Learning Outcomes:
1
To be able to install R Project and install R packages;
2
To be able to use basic commands and operate in R;
3
To be able to use statistical functions;
4
To be able to apply descriptive statistics;
5
To be able to apply inferential statistics;
6
To be able to interpret the findings;
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Course Content:
Week
Theoretical
Practical
1
Installation of R Project and Packages
2
Data Entry and Arithmetical Process in R Project
3
Vectors, Matrix, List and Tables
4
Data preprocessing, Data Import
5
Data Derivation in R
6
Usage of function in R
7
Data Vizualization, Graphs and Aplications in R
8
Average, Dispersion Measures, Probability and Applications
9
Probability Distributions and Applications in R
10
Confidence Interval and Applications in R
11
Hypothesis Tests and Applications in R
12
Basic ve Multiple Regression and Correlation Analiysis and Applications in R
13
Trend Analysis and Extrapolation Applications in R
14
Statistical Proses Control Applications in R
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Textbooks, References and/or Other Materials:
Prof. Dr. Erkan Işığıçok, Dr. Öğr. Üyesi Emrah Akdamar, R ile Veri Analizi 1, Sentez Yayıncılık, Bursa, 2022.
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
1
40
Quiz
0
0
Homeworks, Performances
0
0
Final Exam
1
60
Total
2
100
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Multiple choice test questions and written questions
Information
This course is evaluated with a relative evaluation system.
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
3
42
Practicals/Labs
0
0
0
Self Study and Preparation
14
1
14
Homeworks, Performances
0
0
0
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
1
40
40
Others
0
0
0
Final Exams
1
60
60
Total WorkLoad
196
Total workload/ 30 hr
5,2
ECTS Credit of the Course
5
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CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
