TLZ203 Statistic

4 ECTS - 3-0 Duration (T+A)- 3. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
TEXTILE ENGINEERING PR.
Code TLZ203
Name Statistic
Term 2021-2022 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
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SELAHATTİN KAÇIRANLAR
Course Instructor Prof. Dr. GÜLESEN ÜSTÜNDAĞ ŞİRAY (Güz) (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

Resources

Notes



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 - 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 3
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 0
PLO05 - Has the skills of designing experiments, data collection, cognitive analysis and interpretation of the results 3
PLO06 - Works effectively both individually and as a team member and takes responsibility 3
PLO07 - Searches literature, has access to information, uses databases and other sources of information 4
PLO08 - Recognizes the need of lifelong learning; follows developments in science and technology and renews self continuosly 2
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. 2
PLO11 - Uses information and communication technologies and softwares at a required level 0
PLO12 - Defines learning requirements in scientific, social, cultural and artistic areas and improves himself/herself accordingly. 0
PLO13 - Has the professional and ethical responsibility. 0
PLO14 - Has the necessary awareness on the fields of occupational health and safety, legal side of engineering applications and environmental health. 0
PLO15 - Has required competence in project management, entrepreneurship and innovation. 1
PLO16 - 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
2 Organizing and analyzing data Reading the source
3 Graphical representations Reading the source
4 Measures of Central Tendency Reading the source
5 Measures of Distributions Reading the source
6 measures of distribution in data classification Reading the source
7 Probability theory Reading the source
8 Mid-Term Exam
9 Probability distribution, Discrete uniform distribution, Bernoulli distribution Reading the source
10 Binom distribution, Polynomial distribution, Geometric distribution Reading the source
11 Negative binomial distribution, Hypergeometric distribution, Poisson distribution Reading the source
12 Continuous probability distribution and their properties Reading the source
13 Continuous uniform distribution Reading the source
14 Exponential Distribution Reading the source
15 Normal distribution Reading the source
16 Term Exams
17 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 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

Update Time: 05.05.2025 09:37