Software Engineering Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

UNI094

Course Name:

Research Methods

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

University Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

E-Learning

Course Coordinator:

Öğr. Gör. AYLİN KERİME BİBERCİ

Course Lecturer(s):

HİLAL ÇAKAR

Course Assistants:

Course Objective and Content

Course Objectives:	In the context of the importance of scientific method in the modern world, providing the necessary information about the stages and types of scientific research, making it easier to make sense of scientific writings in terms of linguistic, formal and contextual, and to enable them to solve problems or make researches and report related to the field of study.
Course Content:	Definition of Science, Basic Concepts, Qualitative and Quantitative Data Collecting Methods, Research Process, Measuring and Scaling, Sampling, Data Analysis, Research Proposal, Ethic.

Learning Outcomes

The students who have succeeded in this course;
1) 1. Define the concepts of scientific research
2) 2. List the stages of scientific research.
3) 3. Identify appropriate research methods and techniques for specific issues or problems
4) 4. Develops comments and suggestions in the context of the findings of the research
5) 5. Reports his research with the steps of scientific method and general pass writing rules

Course Flow Plan

Week	Subject	Related Preparation
1)	What is Science?	-
2)	Bilimsel Araştırmalar ile ilgili Temel Kavramlar	-
3)	Research Process and Data Collection	-
4)	Data collection techniques-Quantitative	-
5)	Data collection techniques-Qualitative	-
6)	Measuring and Scaling	-
7)	Sampling	-
8)	MIDTERM EXAM	-
9)	Reliability and validity concepts	-
10)	Quantitative Data Analysis	-
11)	Qualitative Data Analysis	-
12)	Research Proposal, Literature Review	-
13)	Preparation of research report	-
14)	Ethical principles in scientific research	-

Sources

Course Notes / Textbooks:	Bulunmamaktadır.
References:	Creswell. J.W. (2016). Araştırma Deseni. Çeviri: Selçuk Beşir Demir. Kurtuluş, K. (2010). Araştırma Yöntemleri. Türkmen Kitapevi. Kıncal, R.Y. (2015). Bilimsel Araştırma Yöntemleri. Nobel Akademik Yayıncılık.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) The adequate knowledge of mathematics, science and related engineering discipline; the ability to use the theoretical and practical knowledge in these areas in engineering problems.
2) The ability to design a system, process or product to meet specific requirements under realistic conditions associated with economic, environmental, socio-political, ethical, health, safety, reproducibility and sustainability.
3) The ability to describe, formulate and solve engineering problems; the ability to select and apply the necessary method for the solution.
4) The ability to develop, select and use modern techniques for the analysis and solution of problems encountered in engineering applications; the ability to use information technologies effectively.
5) The ability to design experiments, conduct experiments, collect data, analyze and interpret the results in order to examine engineering problems or disciplinary research topics.
6) The ability to work effectively in multi-disciplinary teams.
7) The ability to communicate effectively through oral and written communication, writing effective reports and understanding written reports.
8) To be aware of ethical principles, professional and ethical responsibility; the knowledge about the standards used in engineering applications.
9) The ability to use a foreign language at a minimum B1 level in terms of European Language Portfolio criteria.
10) To be aware of the necessity of lifelong learning; the ability to access information, to follow the developments in science and technology and to renew themselves continuously.
11) The ability to use information and communication technologies together with computer software at the Advanced level of European Computer Driving License.
12) Information on project management and risk management practices; awareness of entrepreneurship and innovation; knowledge about sustainable development.
13) Knowledge and awareness about the effects of engineering applications on environment, health and safety on universal scale and legal consequences.
14) The ability to apply the principles of algorithm, mathematical foundations and theory of computer science in modeling and design of computer based systems by analyzing software alternatives.
15) In addition to advanced mathematics education including differential equations, integral calculus, logic and discrete mathematics, an engineering education in software engineering including data structures and algorithms, programming languages, operating systems, computer security, computer theory, network programming and machine learning.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	The adequate knowledge of mathematics, science and related engineering discipline; the ability to use the theoretical and practical knowledge in these areas in engineering problems.
2)	The ability to design a system, process or product to meet specific requirements under realistic conditions associated with economic, environmental, socio-political, ethical, health, safety, reproducibility and sustainability.
3)	The ability to describe, formulate and solve engineering problems; the ability to select and apply the necessary method for the solution.
4)	The ability to develop, select and use modern techniques for the analysis and solution of problems encountered in engineering applications; the ability to use information technologies effectively.
5)	The ability to design experiments, conduct experiments, collect data, analyze and interpret the results in order to examine engineering problems or disciplinary research topics.
6)	The ability to work effectively in multi-disciplinary teams.
7)	The ability to communicate effectively through oral and written communication, writing effective reports and understanding written reports.
8)	To be aware of ethical principles, professional and ethical responsibility; the knowledge about the standards used in engineering applications.
9)	The ability to use a foreign language at a minimum B1 level in terms of European Language Portfolio criteria.
10)	To be aware of the necessity of lifelong learning; the ability to access information, to follow the developments in science and technology and to renew themselves continuously.
11)	The ability to use information and communication technologies together with computer software at the Advanced level of European Computer Driving License.
12)	Information on project management and risk management practices; awareness of entrepreneurship and innovation; knowledge about sustainable development.
13)	Knowledge and awareness about the effects of engineering applications on environment, health and safety on universal scale and legal consequences.
14)	The ability to apply the principles of algorithm, mathematical foundations and theory of computer science in modeling and design of computer based systems by analyzing software alternatives.
15)	In addition to advanced mathematics education including differential equations, integral calculus, logic and discrete mathematics, an engineering education in software engineering including data structures and algorithms, programming languages, operating systems, computer security, computer theory, network programming and machine learning.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 10
Midterms	1	% 30
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	14	42
Study Hours Out of Class	13	13
Midterms	4	31
Final	4	31
Total Workload		117