Information
Code | TLZ203 |
Name | Statistic |
Term | 2022-2023 Academic Year |
Semester | 3. Semester |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 4 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. SELAHATTİN KAÇIRANLAR |
Course Instructor |
Prof. Dr. SELAHATTİN KAÇIRANLAR
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Learn the basic concepts of statistics, analysis and reviews statistical problems encountered
Course Content
Basic concepts in statistics, analysis and presentation of data, probability theory, probability distributions
Course Precondition
no
Resources
Schaum's outline Statistics
Notes
Schaum's outline Statistics DeGroot,MH and Schervish, MJ (2002), Probability and Statistics, Third edition, Addison Wesley
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Explain the basic concepts used in statistics. |
LO02 | Collect, Summarize and present the data. |
LO03 | Understand measures of central tendency and dispersion measures |
LO04 | Learn the probability and probability types. |
LO05 | Understand discrete and continuous probability distributions. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Has sufficient background in the fields of Mathematics, Science and Textile Engineering | 2 |
PLO02 | Bilgi - Kuramsal, Olgusal | Uses the knowledge obtained from the basic sciences and engineering in the field of textile engineering | 3 |
PLO03 | Bilgi - Kuramsal, Olgusal | Does process analysis, Identifies problems, interprets and evaluates data in the field of textile engineering | 2 |
PLO04 | Bilgi - Kuramsal, Olgusal | Selects and uses modern techniques and tools for engineering applications | |
PLO05 | Bilgi - Kuramsal, Olgusal | Has the skills of designing experiments, data collection, cognitive analysis and interpretation of the results | 5 |
PLO06 | Bilgi - Kuramsal, Olgusal | Works effectively both individually and as a team member and takes responsibility | |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Searches literature, has access to information, uses databases and other sources of information | |
PLO08 | Beceriler - Bilişsel, Uygulamalı | Recognizes the need of lifelong learning; follows developments in science and technology and renews self continuosly | |
PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Has effective oral and written communication skills. | |
PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Follows developments in the field in a foreign language, has good communication skills with colleagues. | |
PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Uses information and communication technologies and softwares at a required level | |
PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Defines learning requirements in scientific, social, cultural and artistic areas and improves himself/herself accordingly. | |
PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Has the professional and ethical responsibility. | |
PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Has the necessary awareness on the fields of occupational health and safety, legal side of engineering applications and environmental health. | |
PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Has required competence in project management, entrepreneurship and innovation. | 2 |
PLO16 | Bilgi - Kuramsal, Olgusal | An ability to identify, formulate, and solve complex engineering problems by selecting appropriate analysis and modeling methods. | 3 |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | the basic concepts in statistics | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
2 | Organizing and analyzing data | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
3 | Graphical representations | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
4 | Measures of Central Tendency | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
5 | Measures of Distributions | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
6 | measures of distribution in data classification | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
7 | Probability theory | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
9 | Probability distribution, Discrete uniform distribution, Bernoulli distribution | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
10 | Binom distribution, Polynomial distribution, Geometric distribution | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
11 | Negative binomial distribution, Hypergeometric distribution, Poisson distribution | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
12 | Continuous probability distribution and their properties | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
13 | Continuous uniform distribution | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
14 | Exponential Distribution | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
15 | Normal distribution | Reading the source | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
Final Exam | 1 | 18 | 18 |
Total Workload (Hour) | 109 | ||
Total Workload / 25 (h) | 4,36 | ||
ECTS | 4 ECTS |