The course introduces participants to the essential components of scientific research design and statistical methods that can be used to summarise, analyse and interpret scientific data. Practical examples across all of the scientific disciplines are used in lectures and tutorials.
Prerequisite(s)
NONE
Corequisite(s)
NONE
Special Requisite(s)
NONE
Instructor(s)
Assoc. Prof. Esra SAATÇI
Course Assistant(s)
Schedule
Thursday 13:00-16:00 AK2D05
Office Hour(s)
Thursday 13:00-16:00 AK2D05
Teaching Methods and Techniques
-Lectures
-Readings
-Discussions
-Demonstrations
-Presentations
Principle Sources
Bilimsel Araştıma Yöntemleri, Nobel Akademik Yayıncılık, 2016
Other Sources
-
Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction to the course; contents, outcomes, evaluation criteia.
Oral and written presentations.
2. Week
Basic concepts and definitions; definition of science, aim and requirements, knowledge and scientific approaches and classifications.
Oral and written presentations.
3. Week
Scientific system; Process and elements of scientific system, issues, concepts, rules and theorems.
Oral and written presentations.
4. Week
Scientific research and researcher; scientific research and characteristics, scientific research categories, the charactreistics of scientist and researcher.
Oral and written presentations.
5. Week
Scientific research process; determination of research topic, literatur search and survey, influential factors.
Oral and written presentations.
6. Week
Scientific research process; Formulation of hypothesis, determination of research method and technique.
Oral and written presentations.
7. Week
Scientific research process; Realization of research, planning and project design, hypothesis testing, inferring and interpretation.
Oral and written presentations.
8. Week
Data collection; data types and sources, intoduction to the sata collection methods, sampling and experiments.
Oral and written presentations.
9. Week
Data collection; data collection methods, observation,survey, interview, fieldwork and documentary survey, measurement, scaling and inaccuacy types, reliability and validity in data collection.
Oral and written presentations.
10. Week
Data Analysis; organization of charts, decriptive statistics, parametric methods, correlation analysis, regression analysis, Factor analysis, nonparametric methods.
Oral and written presentations.
11. Week
Writing and publishing techniques; poperties of scientific publication, types and preparation.
Oral and written presentations.
12. Week
Ethical issues in science; responsibilities of scientist, nonethical behaviours in science and prevention, consequences and sanctions.
Oral and written presentations.
13. Week
Project/Asssignment presentations.
Student presentations.
14. Week
Project/Asssignment presentations.
Student presentations.
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Homework / Term Projects / Presentations
1
20
Project(s)
1
40
Final Exam
1
40
Program Outcomes
PO-1
To be able to develop and deepen their knowledge in the field of Electrical and Electronics Engineering at an expert level.
PO-2
To be able to use the expert level theoretical and applied knowledge acquired in the field of Electrical and Electronics Engineering
PO-3
To be able to solve the problems encountered in the field of Electrical and Electronics Engineering by using research methods.
PO-4
To be able to carry out a study that requires expertise independently.
PO-5
To be able to critically evaluate the knowledge and skills at the level of expertise and to direct her learnin
PO-6
To be able to use advanced information and communication technologies together with computer software at the level required by the field of Electrical and Electronics Engineering.
PO-7
To be able to critically examine the norms in the field of Electrical and Electronics Engineering, to develop them and to take action to change them when necessary.
PO-8
To be able to systematically transfer the current developments and own studies in the field to groups in and out of the field, in written, oral and visual forms, by supporting them with quantitative and qualitative data.
PO-9
To be able to communicate orally and in writing using a foreign language.
PO-10
To be able to use the knowledge, problem solving and / or application skills they have absorbed in the field of Electrical and Electronics Engineering in interdisciplinary studies.
Learning Outcomes
LO-1
Participants know science system, process, and related concepts.
LO-2
Participants explain scientific research stages such as literatur survey, forming hypothesis, determination of research method as well as responsibilities of researcher.
LO-3
Participants know several data collection methods such as sampling, experimentation, observation, interviews, fieldworks.
LO-4
Participants can analyze data using charts, statistics, parametic and nonparametic methods.
LO-5
Participants know and apply scientific writing and publishing techniques.
LO-6
Participants know scientific ethic rules and ethical responsibilities of scientific researcher as well as consequences of unethical behaviours.
