|Course Title||Code||Semester||L+P Hour||Credits||ECTS|
|Statistical Methods *||TMZ 203||3||2||2||3|
|Prerequisites and co-requisites||Yok|
|Recommended Optional Programme Components||None|
|Language of Instruction||Turkish|
|Course Level||First Cycle Programmes (Bachelor's Degree)|
|Course Coordinator||Prof. Dr. Güzin YÜKSEL|
The aim of this course is to teach basic concepts, principles, techniques of science of statistics and the terminology that is required for them; to earn the competency/ability to appropriately use and interpret statistical concepts, principles and techniques.
Basic Concepts,Types Of Data, Data Sources, Data Collection Techniques, Sampling Techniques, Frequency Distributions, Measure of Central Tendencies, Measure of Variability, Measure of Skewness and Measure of Kurtosis, Probability and Special Probability Distributions, Normal Distribution, Confidence intervals, Hypothesis testing, Regression
|Course's Contribution To Program|
|No||Program Learning Outcomes||Contribution|
Has sufficient background in the fields of Mathematics, Science and Textile Engineering
Uses the knowledge obtained from the basic sciences and engineering in the field of textile engineering
Does process analysis, Identifies problems, interprets and evaluates data in the field of textile engineering
Selects and uses modern techniques and tools for engineering applications
Has the skills of designing experiments, data collection, cognitive analysis and interpretation of the results
Works effectively both individually and as a team member and takes responsibility
Searches literature, has access to information, uses databases and other sources of information
Recognizes the need of lifelong learning; follows developments in science and technology and renews self continuosly
Has effective oral and written communication skills.
Follows developments in the field in a foreign language, has good communication skills with colleagues.
Uses information and communication technologies and softwares at a required level
Defines learning requirements in scientific, social, cultural and artistic areas and improves himself/herself accordingly.
Has the professional and ethical responsibility.
Has the necessary awareness on the fields of occupational health and safety, legal side of engineering applications and environmental health.
Has required competence in project management, entrepreneurship and innovation.
|1||Basic Concepts||Reading the source|
|2||Types Of Data, Data Sources||Reading the source, problem solving|
|3||Data Collection Techniques||Reading the source, problem solving|
|4||Sampling Techniques||Reading the source, problem solving|
|5||Frequency Distributions||Reading the source, problem solving|
|6||Measure of Central Tendencies||Reading the source, problem solving|
|7||Measure of Variability, Measure of Skewness and Measure of Kurtosis||Reading the source, problem solving|
|8||Midterm||Review the topics discussed in the lecture notes and sources|
|9||Probability and Special Probability Distributions||Reading the source, problem solving|
|10||Special Probability Distributions||Reading the source, problem solving|
|11||Normal Distribution||Reading the source, problem solving|
|12||Confidence intervals||Reading the source, problem solving|
|13||Hypothesis testing||Reading the source, problem solving|
|14||Regression||Reading the source, problem solving|
|15||Regression||Reading the source, problem solving|
|16-17||Final Exam||Review the topics discussed in the lecture notes and sources|
|Recommended or Required Reading|
Ders Notu ve Kitaplar