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

General course introduction information

Course Code:

EEE409

Course Name:

Science, Tecnology and Ethics

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
2	0	2	8

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 :

Prof. Dr. RAMAZAN NEJAT TUNCAY

Course Lecturer(s):

Prof. Dr. RAMAZAN NEJAT TUNCAY

Course Assistants:

Course Objective and Content

Course Objectives:

First to review the importance of logic and language in a society; then to discuss keywords, such as science and technology, research and development, scientific method, scientific process, scientific model, scientific prediction, etc.; public understanding of science, scientific progress; doing research in engineering, in medicine, epidemiology, statistical data evaluation, science - technology relations, case problems and public discussions, earthquakes and public discussion, pollution and public concern, definitions of morality and ethics, ethics in science, risk assessment and precautionary principle, etc.

Course Content:

Understands the true meaning / definition of science.
• Learn the relations between science and technology.
• Be able to draw flow chart of science, scientific process and scientific method.
• Be able to use models in problem solving.
• Understands the use of statistics and stochastic modeling.
• Discriminate prediction from guess work and estimation.
• Understand the difference between morality and ethics.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) definition of science 2.1) What is science
2) 3.1) what is ethics
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
1) 2.1) flow chart of science
Learning Competence
1) definition of ethics
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Historical overview: Science before 1st, 2nd, 3rd Millennium. Logic (Propositional) Calculus
2)	Predicate Calculus (Logic of Quantifiers)
3)	Axiomatic Systems
4)	Observation (Seeing is believing?) Experimentation; Induction and deduction Well-defined Problem to a solution: Scientific Model
5)	Flow chart in terms of cause and effect Forward flow and feed backs Scientific progress and scientific process
6)	Scientist and a university professor Scientist and a fortune teller; Scientist and gambler
7)	Why do we use R&D together? Why do we use S&T together?
8)	Why does using "science" in front of everything make it credible? Why do people believe in scientific process? What makes science more credible than every other method?
9)
10)	Morality and Ethics Science, society and ethics Technology, environment and ethics Scientific research and ethics
11)	Risk management Fear against unknowns Precautionary Principle Approach
12)	Developed countries and science and technology Frontiers in developed countries, high-technology Information Age and Society Wireless technology and society Technology in education, health, sports, defense, etc.
13)	Science and Earthquakes Science and public health Science and Cancer, science and base stations, etc. Doing research in medicine, epidemiology, in-vitro, in-vivo studies
14)	Research Ethics Publication Ethics Scientific Misconduct

Sources

Course Notes / Textbooks:

R. Stone, L. Sevgi, “Academic Publishing,” IEEE Antennas and Propagation Magazine, Vol. 57, No. 6, pp.xxx-xxx, Dec 2015.

L. Sevgi, "Innumeracy: The Meaning of the Numbers We Use,” IEEE Antennas and Propagation Magazine, Vol. 49, No. 2, pp.195-190, Apr 2007.

L. Sevgi, "Speaking with Numbers: Public Understanding of Science,” ELEKTRIK, Turkish J. of Electrical Engineering and Computer Sciences (Special issue on Electrical and Computer Engineering Education in the 21st Century: Issues, Perspectives and Challenges), Vol. 14, No. 1, pp.33-40, 2006.

L. Sevgi, "On the Science, Scientific Process and Scientific Filter.. ,” (Letter to the Editor), IEEE Antennas and Propagation Magazine, Vol. 44, No.2, pp.122, Apr. 2002.

References:

• R. Stone, L. Sevgi, “Academic Publishing,” IEEE Antennas and Propagation Magazine, Vol. 57, No. 6, pp.xxx-xxx, Dec 2015.
• L. Sevgi, “Electromagnetic Precursors and Earthquakes: Nowcasting, Forecasting and Prediction,” IEEE Antennas and Propagation Magazine, Vol. 56, No. 6, pp.319-326, Dec 2014.
• L. Sevgi, “Biostatistics and Epidemiology: Hypothetical Tests on Cell Phone Users,” IEEE Antennas and Propagation Magazine, Vol. 52, No. 1, pp.267-273, Feb 2010.
• L. Sevgi, “Hypothesis Testing and Decision Making: Constant-False-Alarm Rate,” IEEE Antennas and Propagation Magazine, Vol. 51, No. 3, pp.218-224, Jun 2009.
• L. Sevgi, "Innumeracy: The Meaning of the Numbers We Use,” IEEE Antennas and Propagation Magazine, Vol. 49, No. 2, pp.195-190, Apr 2007.
• L. Sevgi, "A Critical Review on Electromagnetic Precursors and Earthquake Prediction,” ELEKTRIK, Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 15, No.1, pp.1-15, April 2007.
• L. Sevgi, "Earthquake Early Warning: Prediction vs. Guess,” Comment to the "Earthquake Alarm" by Tom Bleier and Friedemann Freund, IEEE Spectrum Online, Vol. 42, No.12 (INT), pp. 17-21, Dec. 2005 (www.spectrum.ieee.org.csulib.ctstateu.edu/dec05/comments/1181).
• L. Sevgi, "Speaking with Numbers: Public Understanding of Science,” ELEKTRIK, Turkish J. of Electrical Engineering and Computer Sciences (Special issue on Electrical and Computer Engineering Education in the 21st Century: Issues, Perspectives and Challenges), Vol. 14, No. 1, pp.33-40, 2006.
• L. Sevgi, "On the Science, Scientific Process and Scientific Filter.. ,” (Letter to the Editor), IEEE Antennas and Propagation Magazine, Vol. 44, No.2, pp.122, Apr. 2002.

Course-Program Learning Outcome Relationship

Learning Outcomes	1			3
Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; 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)	Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.	1
2)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3)	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7)	Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.	2
9)	Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.	5
10)	Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.	1
11)	Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.	3

Learning Activity and Teaching Methods

Expression
Lesson
Group study and homework

Assessment & Grading Methods and Criteria

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

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 30
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	14	196
Presentations / Seminar	1	2	2
Project	1	2	2
Midterms	1	2	2
Final	1	2	2
Total Workload			246