TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| STATISTICS PR. | |
| Code | ISB253 |
| Name | Professional English |
| Term | 2021-2022 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 | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator | Doç. Dr. NİMET ÖZBAY |
| Course Instructor |
Doç. Dr. NİMET ÖZBAY
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is improving the reading, understanding and translation skills of English texts in the field of statistics.
Course Content
In this course random variables and probability distributions, mathematical expectation, the mean, median, mode and other measures of central tendency, the standard deviation and other measures of dispersion, moments, skewness and kurtosis, special probability distributions, statistical estimation theory, curve fitting, regression and correlation are examined.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learns about random variables in English |
| LO02 | Learns about probability distributions in English |
| LO03 | Has knowledge on mathematical expectation in English |
| LO04 | Examines the mean, median, mode and other measures of central tendency in English |
| LO05 | Learns about the standard deviation and other measures of dispersion in English |
| LO06 | Understands moments, skewness and kurtosis in English |
| LO07 | Gets information about some special probability distributions in English |
| LO08 | Has knowledge on statistical estimation theory in English |
| LO09 | Learns about curve fitting in English |
| LO10 | Examines regression in English |
| LO11 | Gets knowledge on correlation in English |
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 | 3 |
| 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 | 3 |
| 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 | 3 |
| 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 | 4 |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | 2 |
| 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 | 2 |
| 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 | Random variables | Reading the source | |
| 2 | Probability distributions | Reading the source | |
| 3 | Mathematical expectation | Reading the source | |
| 4 | The mean, median, mode | Reading the source | |
| 5 | Other measures of central tendency | Reading the source | |
| 6 | The standard deviation and other measures of dispersion | Reading the source | |
| 7 | Moments | Reading the source | |
| 8 | Mid-Term Exam | Mid-Term Exam | |
| 9 | Skewness and kurtosis | Reading the source | |
| 10 | Some special probability distributions | Reading the source | |
| 11 | Statistical estimation theory | Reading the source | |
| 12 | Curve fitting | Reading the source | |
| 13 | Regression | Reading the source | |
| 14 | Correlation | Reading the source | |
| 15 | Chi-Square test | Reading the source | |
| 16 | Term Exams | Term Exams | |
| 17 | Term Exams | Term Exams |
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 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 78 | ||
| Total Workload / 25 (h) | 3,12 | ||
| ECTS | 3 ECTS | ||