CKS302 Statistics

4 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

Information

Unit CEYHAN FACULTY OF ENGINEERING
Code CKS302
Name Statistics
Term 2019-2020 Academic Year
Semester 6. 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 E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. DENİZ YILDIRIM
Course Instructor Öğr. Gör. Murat DENİZ (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

Collection, assessment, analysis of data in engineering applications and providing necessary skills to make statistical inference.

Course Content

Series, means, dispersion, skewness, kurtosis, probability, probability distribution, tests for goodness of fit, regression and correlation

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Students will be able to make assessment of various data by using scientific methods and to make beneficial inferences for various engineering purposes.
LO02 Students shall gain ability to get approximate results of difficult problems.
LO03 Students shall have background to make stochastic model and solve scientific and engineering problems in probabilistic approaches.
LO04 Solving permutation and combination problems.
LO05 Computing the measures of central tendency and dispersion.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Student become equipped with the basic knowledge of math, science and engineering 5
PLO02 - Students gain a command of basic concepts, theories and principles in chemical engineering 4
PLO03 - Students are able to design and carry out experiments in the basic fields of chemical engineering, and interpret the results and the data obtained from the experiments 4
PLO04 - Students become equipped with a variety of skills and knowledge regarding engineering techniques 4
PLO05 - Students are able to design a system, component or process in order to meet the needs of various engineering problems within technical, economic, environmental, manufacturability, and sustainability limits. 2
PLO06 - Students independently review and learn the applications in an enterprise, make a critical assessment of the problems faced with, formulate problems and propose solutions by selecting the proper technique 1
PLO07 - Students take initiative in identification, design, development and use of a product or production process 1
PLO08 - Students become aware of the necessity of lifelong learning and continuously self-renew 3
PLO09 - Students use Turkish effectively for technical or non-technical topics orally or in wirtten form, and at least one foreign language 1
PLO10 - Students become effective in using computer, computer-aided drafting, design, analysis, and presentation 3
PLO11 - Students have good communicatino skills with a tendency to work in teams, and are able to work effectively as a member of an interdisciplinary team 1
PLO12 - Students become aware of the technical and ethical responsibilities, as well as being inquisitive and innovative 1


Week Plan

Week Topic Preparation Methods
1 Basic terms in statistics, introduction to series Textbook
2 The mean, median, mode, other measures of central tendency and applications Textbook
3 Relation between various means, dispersion and types of frequency distribution Textbook
4 Absolute dispersion Textbook
5 Relative dispersion, introduction to skewness and kurtosis Textbook
6 Moments, determination of skewness and kurtosis by moments Textbook
7 Elementary probability theory, conditional probability and types of distribution Textbook
8 Mid-Term Exam Textbook
9 The Possion and binomial distribution Textbook
10 The Possion and binomial distribution Textbook
11 Normal distribution and properties of normal distribution Textbook
12 Logarithmic distribution and tests of hypotheses and significance Textbook
13 Tests for goodness of fit , Chi- Square test and degree of freedom Textbook
14 Statistical relations, regression and correlation Textbook
15 Properties, methods , applications of regression and correlation Textbook
16 Term Exams Textbook
17 Term Exams Textbook


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Homework 100 20
General Assessment
Midterm / Year Total 100 20
1. Final Exam - 80
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 1 5 5
Mid-term Exams (Written, Oral, etc.) 1 5 5
Final Exam 1 5 5
Total Workload (Hour) 99
Total Workload / 25 (h) 3,96
ECTS 4 ECTS

Update Time: 21.04.2025 11:03