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Information
| Unit | FACULTY OF ENGINEERING |
| TEXTILE ENGINEERING PR. | |
| Code | TMZ203 |
| Name | Statistical Methods |
| Term | 2019-2020 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Üniversite Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Arş.Gör. ÖZLEM AKAY |
| Course Instructor |
Arş.Gör. ÖZLEM AKAY
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
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.
Course Content
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 Precondition
Yok
Resources
Notes
Ders Notu ve Kitaplar
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Chooses research question and the method. |
| LO02 | Collects and arranges data. |
| LO03 | Analyzes the data. |
| LO04 | Determines central tendency and measure of deviation. |
| LO05 | Makes the hypothesis testing. |
| LO06 | Applies probability and sampling distribution at engineering problems. |
| LO07 | Makes simple researches using survey techniques. |
| LO08 | Uses the skills in data handling and manipulation. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Has sufficient background in the fields of Mathematics, Science and Textile Engineering | 3 |
| PLO02 | - | Uses the knowledge obtained from the basic sciences and engineering in the field of textile engineering | 4 |
| PLO03 | - | Does process analysis, Identifies problems, interprets and evaluates data in the field of textile engineering | 4 |
| PLO04 | - | Selects and uses modern techniques and tools for engineering applications | 3 |
| PLO05 | - | Has the skills of designing experiments, data collection, cognitive analysis and interpretation of the results | 5 |
| PLO06 | - | Works effectively both individually and as a team member and takes responsibility | 4 |
| PLO07 | - | Searches literature, has access to information, uses databases and other sources of information | 3 |
| PLO08 | - | Recognizes the need of lifelong learning; follows developments in science and technology and renews self continuosly | 3 |
| PLO09 | - | Has effective oral and written communication skills. | 2 |
| PLO10 | - | Follows developments in the field in a foreign language, has good communication skills with colleagues. | 1 |
| PLO11 | - | Uses information and communication technologies and softwares at a required level | 3 |
| PLO12 | - | Defines learning requirements in scientific, social, cultural and artistic areas and improves himself/herself accordingly. | 1 |
| PLO13 | - | Has the professional and ethical responsibility. | 4 |
| PLO14 | - | Has the necessary awareness on the fields of occupational health and safety, legal side of engineering applications and environmental health. | 2 |
| PLO15 | - | Has required competence in project management, entrepreneurship and innovation. | 2 |
| PLO16 | - | An ability to identify, formulate, and solve complex engineering problems by selecting appropriate analysis and modeling methods. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 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 | Mid-Term Exam | 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 | Term Exams | Review the topics discussed in the lecture notes and sources | |
| 17 | Term Exams | Review the topics discussed in the lecture notes and sources |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |