Information
Code | ISB351 |
Name | Computational Statistics |
Term | 2024-2025 Academic Year |
Semester | 5. Semester |
Duration (T+A) | 2-2 (T-A) (17 Week) |
ECTS | 5 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Lisans Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Prof. Dr. ALİ İHSAN GENÇ |
Course Instructor |
Prof. Dr. ALİ İHSAN GENÇ
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
This course aims that students do the statistical analyses with a computer program.
Course Content
The scope is the exploratory data analysis and statistical inference methods by starting with the basics of R program.
Course Precondition
None
Resources
Using R for Introductory Statistics, John Verzani, Chapman and Hall/ CRC, Boca Raton, 2005.
Notes
Statistical Computing with R, Maria L. Rizzo, First Edition (Chapman and Hall/CRC The R Series), 2007.
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Explains the basics of a statistical package, for instance R. |
LO02 | Plots univariate data. |
LO03 | Plots bivariate data. |
LO04 | Finds the properties of specific distributions via computer. |
LO05 | Perfoms computer simulations. |
LO06 | Computes probabilities using a computer. |
LO07 | Finds confidence intervals. |
LO08 | Does the hypotheses tests. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Explain the essence fundamentals and concepts in the field of Statistics | |
PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | 4 |
PLO03 | Bilgi - Kuramsal, Olgusal | Define basic principles and concepts in the field of Law and Economics | |
PLO04 | Bilgi - Kuramsal, Olgusal | Produce numeric and statistical solutions in order to overcome the problems | |
PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 4 |
PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization | |
PLO07 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 4 |
PLO08 | Bilgi - Kuramsal, Olgusal | Make statistical inference (estimation, hypothesis tests etc.) | |
PLO09 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques and gain insight | |
PLO10 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programs | |
PLO11 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | |
PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | 3 |
PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | |
PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | 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 | |
PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Data types, program basics | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
2 | Program basics | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
3 | Univariate data, categorical data, contingency tables | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
4 | Graphs for categorical data, barplots, pie charts | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
5 | Summarization of a numerical data, mean, variance, mode, median | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
6 | Numerical data plots, histogram, stem-leaf plots | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
7 | Boxplots, standardization of data | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
8 | Mid-Term Exam | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
9 | Simulation | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
10 | Normal distribution and some other distributions | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
11 | Regression and probability plots | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
12 | Confidence intervals | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
13 | Confidence intervals II | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
14 | Hypothesis tests | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
15 | Hypothesis tests II | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
16 | Term Exams | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
Assesment Related Works | |||
Homeworks, Projects, Others | 1 | 3 | 3 |
Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
Final Exam | 1 | 16 | 16 |
Total Workload (Hour) | 125 | ||
Total Workload / 25 (h) | 5,00 | ||
ECTS | 5 ECTS |