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

Course Introduction and Application Information

Course Code:

UNI079

Course Name:

Scientific Writing Skills

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:

Face to face

Course Coordinator:

Dr. Öğr. Üy. EZGİ ILDIRIM

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:	The course aims to provide students understanding basic principles of asking a research question, scientifically collected and analysed data and, to provide academic writing and reading skills. The primary aims of the course are presenting reading and writing deficiencies and solutions and providing the ability to acquire effective scientific communication.
Course Content:	The course includes the communicating in professional settings by effective language, asking a research question, reviewing the literature, seeking and using academic reference, ethical principles in science, the examination of a scientific paper, notification, and thesis.

Learning Outcomes

The students who have succeeded in this course;
1) Gains written-oral effective communication and language skills in professional settings.
2) Develops a basic research question based on the observations.
3) Provides correctly knowledge and the ability for using references and literature
4) Understands ethical issues in science, and to gain the ability to comply with academic ethical principles.
5) Understands the basic principles in reading and writing of a scientific paper, thesis proposal and reports; and conducts the examination of scientific writings.

Course Flow Plan

Week	Subject	Related Preparation
1)	An Introduction to Scientific Writing Skills I: Written-Oral Effective Communication in Professional Settings
2)	An Introduction to Scientific Writing Skills II: The Language of Scientific Communication
3)	Scientific Theory: Basic Concepts
4)	Determining of a Scientific Topic, Asking a Research Question, and Developing a Hypothesis- Theoretical Foundations
5)	Determining of a Scientific Topic, Asking a Research Question, and Developing a Hypothesis: Homework-Applications
6)	Academic Definitions, and Roles
7)	Aims and Types of Academic Writing
8)	Giving homeworks for mid-Term exam, Reviewing Literature, Seeking and Using Reference.
9)	Ethical Principles in Science
10)	Scientific Papers (Review and Research Papers) and Notifications: Basic Principles.
11)	The Examination of a Paper -I (Heading, Abstract, Introduction and Method)-Theoretical Foundations
12)	The Examination of a Paper-II (Results, Discussion and Conclusion)- Theoretical Foundations
13)	Presentation of A Scientific Research Paper
14)	Writing Thesis Proposal and Thesis Report: Basic Principles
15)	Final Exam

Sources

Course Notes / Textbooks:	Akademik Yazım ve Araştırmacılara Öneriler- (2018, 1. Basım) Serkan Dinçer, Pegem Akademi Yayıncılık.
References:	1. Akademik Yazım, İlkeler, Uygulamalar, Örnekler (2018, 2.Basım) -Metin Kozak, Detay Yayıncılık 2. Yanlış Yönde Kuantum Sıçramalar-Charles M. Wynn-Arthur W.Wiggins (Çev. Aykut Kence) (2001, 4. Basım). Tübitak Popüler Bilim Kitapları.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Adequate knowledge in mathematics, science and software engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex software engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design, implement, verify, validate, measure and maintain a complex software system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in software engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or software engineering research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of software engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in software engineering; awareness of the legal consequences of software engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and software engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex software engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3)	Ability to design, implement, verify, validate, measure and maintain a complex software system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in software engineering applications; ability to use information technologies effectively.
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or software engineering research topics.
6)	Ability to work effectively within and multidisciplinary teams; individual study skills.
7)	Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of software engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in software engineering; awareness of the legal consequences of software engineering solutions.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
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
Midterms	1	33
Final	1	50
Total Workload		125