COURSE UNIT TITLE

: APPLIED STATISTICS IN MECHANICAL ENGINEERING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MAK 3030 APPLIED STATISTICS IN MECHANICAL ENGINEERING COMPULSORY 3 0 0 3

Offered By

Mechanical Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR YUSUF ARMAN

Offered to

Mechanical Engineering (Evening)
Mechanical Engineering

Course Objective

It is aimed to expression of definition of statistics, teaching of basic statistical concepts and statistical analysis methods, presenting of importance of statistical applications in careers.

Learning Outcomes of the Course Unit

1   Describe the basic concept of statistics.
2   State all kinds of test data with tables and graphics.
3   Convert the test data in suitable form to statistical analysis methods.
4   Operate the statistical analysis methods.
5   Interpret the statistical analysis results.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic concepts in Statistics Notes located in web site will be studied
2 Statistics series and Frequency distributions Notes located in web site will be studied
3 Measures of central tendency Notes located in web site will be studied
4 Measures of variability Notes located in web site will be studied
5 Probability - Basic concepts Notes located in web site will be studied
6 Calculations of probability Notes located in web site will be studied
7 Random variables Notes located in web site will be studied
8 Discrete random variables and probability distributions Notes located in web site will be studied
9 Continuous random variables Notes located in web site will be studied
10 Probability distributions of continuous random variables Notes located in web site will be studied
11 Normal and standard normal distribution Notes located in web site will be studied
12 Distributions of sampling, central limit theorem Notes located in web site will be studied
13 Prediction of point - interval Notes located in web site will be studied
14 Confidence interval Notes located in web site will be studied

Recomended or Required Reading

Textbook(s): A. F. Yüzer, E. Ağaoğlu, H. Tatlıdil, A. Özmen, E. Şıklar, "Istatistik", Anadolu University, Publication Number: 1448, ISBN 975 - 06 - 0183 - 1, 2004.
Supplementary Book(s): F. Ikiz, H. Püskülcü, Ş. Eren, "Istatistiğe Giriş", Barış Publications, ISBN 975 - 94951 - 0 - 4, 1996.
J. T. McClave, T. Sincich, "Statistics", Prentice Hall Inc., ISBN 0 - 13 - 149755 - 3 - 2, 2003.

Planned Learning Activities and Teaching Methods

Course presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

* Learning Outcomes: 1, 2, 3, 4 ... Midterm Exam
* Learning Outcomes: 1, 2, 3, 4, 5 ... Final Exam

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof. Dr. Yusuf ARMAN
Tel : +90 232 3019242
e-mail : yusuf.arman@deu.edu.tr

Office Hours


Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Preparing assignments 0 0 0
Preparing presentations 0 0 0
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 78

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1434
LO.2334
LO.35334
LO.45534
LO.54534