Engineering Management with thesis
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

MY503

Course Name:

Applied Statistics and Experimental Design

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	10

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. SEZGİN SEZER

Course Lecturer(s):

Prof. Dr. SEZGİN SEZER
Prof. Dr. AHMET FAHRİ ÖZOK

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to give a short summary of applied statistics and introduce a designed experiment and to discuss the approach to linear statistical models in order to distinguish between deterministic and probabilistic models.
Course Content:	Basic concepts, one-way analysis of variance, tests about the homogeneity of variances, average of expected squares for fixed effect, random and mixed effect models, orthogonel polynomials, multiple comparisons, random block design, Latin square and Greco Latin square designs, factorial designs, a planned experimental design, linear model approach to planned experiments, randomness, case studies.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) To be able to apply knowledge of mathematics, science and engineering
2) To be able to use basic industrial engineering and operations research concepts, algorithms, applications and solutions during the identification, solution and analysis of complex engineering problems.
3) Ability to design experiments, analyze and interpret data for investigating engineering problems.
4) Identify, formulate and solve complex engineering problems
5) To determine and apply the appropriate method for problem solving
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week

Subject

Related Preparation

Sources

Course Notes / Textbooks:
References:

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

Program Outcomes

Level of Contribution

Learning Activity and Teaching Methods

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Individual Project
Group project

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
total		%
PERCENTAGE OF SEMESTER WORK		% 0
PERCENTAGE OF FINAL WORK		%
total		%