ELECTIVE

Course Code:

XXX

Semester:

Spring

Course Type:

Elective

P:

2

Lab:

0

Credits:

2

ECTS:

5

Course Language:

İngilizce

Course Objectives:

To introduce research as an integral part of professional practice. thus as a way of thinking

Course Content:

Scientific statements, formulating a research problem, collecting data, measurement, signal processing, the scientific method, mathematical models, research design, uncertainty, probability and statistics in research, probability theories, Bayes’ theorem, ethics and responsibility in scientific research, writing a research proposal

Course Methodology:

1: Lecture, 2: Question-Answer, 3: Laboratory, 4: Case-study

Course Evaluation Methods:

A: Testing, B: Experiment, C: Homework, D: Project

Vertical Tabs

Course Learning Outcomes

Course Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods
1) Gains an insight into research as a way of thinking and an integral part of professional practice	1	1,2	A
2) Perceives that research is an eight-step process and can conduct a plan of study and write a research proposal accordingly	5,1,6	1,2,4	A,C
3) Can clearly identify inductive and deductive scientific statements and is capable of utilising them to write a research report	2,10	1,2,4	A,C
4) Is capable of formulating a research report using a literature review to develop a draft, write about variables, list references and bibliography.	2,5,6	1,4	A,C
5) Is able to construct a hypothesis and formulate a research proposal accordingly	5	1,4	C
6) gains an understanding of how to improve research methodology and broaden their research base	6,10	1,4	A
7)Is able to differentiate between data collection methods and major approaches to information gathering	7	1,2,4	A,C
8) Is capable of considering ethical issues concerning (participants, confidentiality, information usage, method, and sponsoring organisations)	9	1,2	A
9) Gains skills in writing research proposals	8	1,4	C

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
	Scientific statements: justification and acceptance, Deductive &Inductive reasoning, Falsification, Peer review	Textbook
	Formulating a research problem: Basic research, Applied research, Evaluation research, Reviewing literature, Formulating a research problem, Identify variables, hypothesis construction	Textbook
	Collecting data: selecting a method, establishing validity and reliability of a research instrument, selecting a sample, ethical issues in data collection	Textbook
	Measurement: Measurement errors, Significant digits and rounding, Potential sources of error, Random and systematic errors, When to discard a measurement	Textbook
	Signal processing: Electronics, Interfacing, Instrumentation	Textbook
	Processing and displaying data	Textbook
	The scientific method and implementation into research: Observation, Hypothesis, Experimental testing, Predictions	Textbook
	Mathematical models: Empirical versus deterministic models	Textbook
	Research design: Components, Research design and your proposal, Checklists to assist you in preparing dissertation and thesis proposals	Textbook
	Uncertainty, probability and statistics in research: Probability concepts,(Probability theories and axioms, Bayes’ theorem), Inductive logic and statistics	Textbook
	Ethics and responsibility in scientific research	Textbook
		Textbook
	Further Suggestions What else is needed to complete a thesis	Textbook
	Writing a research proposal	Textbook

16	FINAL EXAM	Textbook

Recommended Sources

Textbook	Research Methodology: A Step-by-Step Guide for Beginners Paperback , 4th edn, 14 Jan 2014, Ranjit Kumar Research Methodology: The Aims, Practices and ethics of science, Peter Pruzan
Additional Resources	Explorable website – www.explorable.com

Material Sharing

Documents	Handouts
Assignments	Assignments every other week

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-term exam	2	30
Experiment	0	0
Assignment	6	10
Total		40
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		60
CONTRIBUTION OF IN-TERM TRAINING TO OVERALL GRADE		40
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM
No	Program Learning Outcomes	Contribution Level
No	Program Learning Outcomes	1	2	3	4	5
1	Initiates and develops scientific research skills					x
2	Strengthens scientific communication and writing skills				x
3	Develops students’ knowledge of measurement uncertainty			x
4	Develops students’ knowledge of instrumentation		x
5	Introduces students to the scientific method				x
6	Teaches students to identify and describe research problems and propose solutions using research methodology					X
7	Enables students to design and perform experiments independently, collecting, analysing and interpreting data professionally				x
8	Strengthens the ability to produce original, innovative proposals				x
9	Brings awareness of ethical responsibilities		x
10	Enables students to gain the skills to achieve lifelong learning		x

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Excluding the exam weeks: 14x Total course hours)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Mid-term examination	2	2	4
Homework	6	8	48
Final examination	1	3	3
Total Work Load			139
Total Work Load / 25 (h)			5.6
ECTS Credit of the Course			8

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