Industrial Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

IE269

Course Name:

Scientific Methods in Engineering

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi MEHMET TEVFİK ÇOBANOĞLU

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to examine the scientific research process, to review the main scientific research methods and to provide the students with the necessary knowledge to find a research question, to formulate hypothesis, conceptualization, measurement, data collection, data analysis techniques.
Course Content:	MEASUREMENT DATA VARIABLE RELATIONSHIP AVERAGE AND VARIABILITY GRAPHICS POSSIBILITY PROBABILITY DISTRIBUTION OF CUTICAL RANDOM VARIABLES PROBABILITY OF CONTINUOUS RASSAL VARIABLES SAMPLING AND SAMPLING DISTRIBUTION HYPOTHESIS TEST VARIANCE ANALYSIS CORRELATION AND REGRESSION TIME SERIES

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Finding methods to improve existing knowledge
2 - Skills
Cognitive - Practical
1) To be able to express the ideas and findings related to the subject of research effectively both orally and in writing
3 - Competences
Communication and Social Competence
Learning Competence
1) In the light of the research project, carefully review the literature and link the results with the previous literature
Field Specific Competence
Competence to Work Independently and Take Responsibility
1) To reach scientific knowledge and to work independently

Lesson Plan

Week	Subject	Related Preparation
1)	MEASUREMENT DATA VARIABLE RELATIONSHIP
2)	AVERAGE AND VARIABILITY
3)	GRAPHICS
4)	PROBABILITY
5)	PROBABILITY DISTRIBUTION OF CUTICAL RANDOM VARIABLES
6)	PROBABILITY DISTRIBUTION OF CUTICAL RANDOM VARIABLES
7)	PROBABILITY OF CONTINUOUS RASSAL VARIABLES
8)	PROBABILITY OF CONTINUOUS RASSAL VARIABLES
9)	MIDTERM
10)	SAMPLING AND SAMPLING DISTRIBUTION
11)	HYPOTHESIS TEST
12)	HYPOTHESIS TEST
13)	VARIANCE ANALYSIS
14)	CORRELATION AND REGRESSION
15)	TIME SERIES
16)	FINAL EXAMS

Sources

Course Notes / Textbooks:	Handbook of Technology and Innovation Management Edited by Scott Shane Case Western Reserve University
References:	BETİMSEL İSTATİSTİK 1 ÇIKARIMSAL İSTATİSTİK 2

Course-Program Learning Outcome Relationship

Learning Outcomes	1	3	4	5
Program Outcomes
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
4) Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Awareness of professional and ethical responsibility.
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

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

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.	3
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.	1
3)	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)	2
4)	Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
5)	Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
6)	Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7)	Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
8)	Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9)	Awareness of professional and ethical responsibility.
10)	Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11)	Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Learning Activity and Teaching Methods

Lesson
Reading
Homework

Assessment & Grading Methods and Criteria

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

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	12	1	12
Presentations / Seminar	3	1	3
Homework Assignments	3	1	3
Quizzes	8	1	8
Midterms	1	1	1
Total Workload			27