COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Computational Statistics * ISB   351 5 2 3 5

Prerequisites and co-requisites Yok
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Prof.Dr. Ali İhsan GENÇ
Instructors
Prof.Dr.ALİ İHSAN GENÇ1. Öğretim Grup:A
Prof.Dr.ALİ İHSAN GENÇ2. Öğretim Grup:A
 
Assistants
Goals
To be able to do statistics with a computer program
Content
Starting with the basics of a program, the exploratory data analysis and statistical inference methods are studied.

Learning Outcomes
-


Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics
X
2
Emphasize the importance of Statistics in life
X
3
Define basic principles and concepts in the field of Law and Economics
4
Produce numeric and statistical solutions in order to overcome the problems
X
5
Use proper methods and techniques to gather and/or to arrange the data
X
6
Utilize computer systems and softwares
X
7
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events
X
8
Apply the statistical analyze methods
X
9
Make statistical inference(estimation, hypothesis tests etc.)
X
10
Generate solutions for the problems in other disciplines by using statistical techniques
X
11
Discover the visual, database and web programming techniques and posses the ability of writing programme
12
Construct a model and analyze it by using statistical packages
X
13
Distinguish the difference between the statistical methods
X
14
Be aware of the interaction between the disciplines related to statistics
X
15
Make oral and visual presentation for the results of statistical methods
X
16
Have capability on effective and productive work in a group and individually
X
17
Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
X
18
Develop scientific and ethical values in the fields of statistics-and scientific data collection
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Data types, program basics Source reading
2 Program basics Source reading
3 Univariate data, categorical data, contingency tables Source reading
4 Graphs for categorical data, barplots, pie charts Source reading
5 Summarization of a numerical data, mean, variance, mode, median Source reading
6 Numerical data plots, histogram, stem-leaf plots Source reading
7 Boxplots, standardization of data Source reading
8 Mid-Term Exam
9 Midterm exam
10 Normal distribution and some other distributions Source reading
11 Regression and probability plots Source reading
12 Confidence intervals Source reading
13 General hypothesis tests Source reading
14 Hypothesis tests based on normal distribution Source reading
15 Chi-square hypothesis tests and ANOVA Source reading
16-17 Term Exams

Recommended or Required Reading
Textbook
Additional Resources