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)
The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s)
Assoc. Prof. Akhan Akbulut
Course Assistant(s)
TBA
Schedule
TBA
Office Hour(s)
TBA
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
40
Project(s)
1
40
Final Exam
1
20
Program Outcomes
PO-1
an ability to apply knowledge from undergraduate and graduate engineering and other disciplines to identify, formulate, and solve novel and complex electrical/computer engineering problems that require advanced knowledge within the field
PO-2
knowledge of advanced topics within at least two subdisciplines of computer engineering
PO-3
the ability to understand and integrate new knowledge within the field;
PO-4
the ability to apply advanced technical knowledge in multiple contexts
PO-5
a recognition of the need for, and an ability to engage in, life-long learning
PO-6
the ability to plan and conduct an organized and systematic study on a significant topic within the field
PO-7
an ability to convey technical material through formal written reports which satisfy accepted standards for writing style
PO-8
the ability to analyze and use existing literature
PO-9
the ability to demonstrate effective oral communication skills
PO-10
the ability to stay abreast of advancements in the area of computer engineering
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.
