COURSE UNIT TITLE

: ETHICS IN SCIENCE

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
TUI 5057 ETHICS IN SCIENCE ELECTIVE 3 0 0 6

Offered By

Tourism Management

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR BURCU SELIN YILMAZ

Offered to

Tourism Management

Course Objective

The objective of this course is to explain the concept of scientific ethics; to analyze the relationship between ethics and science and technology; and to explain the role of ethics on scientific research.

Learning Outcomes of the Course Unit

1   To be able to understand and analyze ethical aspect of science and technology.
2   To be able to differentiate related and unrelated factors on topics related to scientific ethics.
3   To be able to suggest and defend ethical solutions to complex situations.
4   To be able to develop independent and critical thinking on topics related to ethical theories and applications.
6   To be able to grasp ethical theories, scientific research ethics and professional ethics.
7   To be able to identify, evaluate the effects of and recommend methods to prevent unethical behaviour.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Concept of Ethics
2 Ethical Theories
3 Science and Ethics Relationships
4 Scientific Research and Ethics
5 Ethics in Scientific Research Process
6 Ethics in Scientific Publications
7 Characteristics of a Scientist
8 Science and Ethics in Internet
9 Science Policy and Ethics
10 Professional Ethics
11 Social Responsibility
12 Unethical Behavior in Scientific Research
13 Presentations, Case Analysis and Discussions
14 General Overview

Recomended or Required Reading

Textbook(s):
David B. Resnik (2004). Bilim Etiği, Ayrıntı.
Articles from academic journals, articles from other sources

Planned Learning Activities and Teaching Methods

Lectures, in-class discussions, article analysis, case analysis, real life examples, homeworks

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40


Further Notes About Assessment Methods

Midterm exam: Students' level of inference based on the knowledge they have acquired will be measured.
Homework and Presentation: The level at which students can analyze, comment, discuss and produce solutions with a holistic approach by analyzing the information they have acquired, and their ability to convey their knowledge will be evaluated.
Final Exam: The level of students' ability to bring together the concepts discussed during the course, to evaluate causalities and relationships, to discuss and to propose solutions will be measured.

Assessment Criteria

Term Paper and Presentation: Presentation s contribution to the overall assessment of term paper is 30%.
Term Paper:
Any title of the term paper:
The title is absent or falls short of expectations, and /or it is completely out of place within the given context. - Poor (0%)
The content is developed poorly or least satisfactorily - Insufficient (20%)
The content is somewhat absent and does not entirely fit the context. - Fair (40%)
The content is developed at a minimum acceptable standard and adequately fits the context. - Good (60%)
The content is developed at a mostly satisfactorily standard and fits into the context. - Very good (80%)
The content is developed fully satisfactorily and perfectly fits into the context. - Excellent (100%)
Presentation: Any item of the presentation graded:
The item is absent or falls short of expectations, and /or it is completely out of place within the given context. - Poor (0%)
The item is developed poorly or least satisfactorily - Insufficient (20%)
The item is somewhat absent and does not entirely fit the context. - Fair (40%)
The item is developed at a minimum acceptable standard and adequately fits the context. - Good (60%)
The item is developed at a mostly satisfactorily standard and fits into the context. - Very good (80%)
The item is developed fully satisfactorily and perfectly fits into the context. - Excellent (100%)

Language of Instruction

English

Course Policies and Rules

1. It is obligatory to attend at least 70% of the classes.
2. Studentts are obliged to accept principles of academic/science ethics.
3. Students should prepare for each class.
4. Homework and presentation should prepared and submitted accroding to format given by the instructor.
5. Any type of electronic device should be kept off during classes.

Contact Details for the Lecturer(s)

E:-mail: selin.yılmaz@deu.edu.tr

Office Hours

To be announced

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 3 42
Preparation for midterm exam 1 18 18
Preparation for final exam 1 20 20
Preparing assignments 1 20 20
Preparing presentations 1 4 4
In-class practices 6 2 12
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 162

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.155
LO.25
LO.35445
LO.45
LO.5554
LO.6