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

Course Introduction and Application Information

Course Code:

UNI352

Course Name:

Principles and Applications of Analytical Research Methods

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

English

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:

Dr. Öğr. Üy. ESMA NUR OKATAN

Course Lecturer(s):

Dr. Öğr. Ü. Esma Nur Okatan

Course Assistants:

Course Objective and Content

Course Objectives:	The main purpose of the course is to enable students to adapt more easily to evidence-based medicine practices and to better understand the current scientific data published in their fields. In addition, encouraging students to participate in scientific research projects is one of the aims of this course.
Course Content:	Introduction to research methodology Immunological techniques Microscopy and application areas Bioluminescence and application areas Electrophysiological recording methods Radioactive isotopes and applications Spectroscopy and application areas In vivo experimental disease models In vitro experimental disease models Cellular Signaling

Learning Outcomes

The students who have succeeded in this course;
1) To have basic knowledge of basic medical science research methods
2) To be able to understand the main ideas of scientific research articles
3) Reinforcement of basic knowledge learned in comittee lectures with clinical and research examples

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to research metodology
2)	Immunological techniques-I
3)	Immunological techniques-II
4)	Microscopy and its applications-I
5)	Microscopy and its applications-II
6)	Bioluminescence and its applications
7)	Electrophysiological Recording Techniques-I
8)	Electrophysiological Recording Techniques-II
9)	Discussion of the assignments
10)	Radioactive isotopes and its applications
11)	Specktroscopy and its applications-I
12)	In vivo experimental disease models
13)	In vitro experimental disease models
14)	Cell Signaling

Sources

Course Notes / Textbooks:	Helmut Giinzler and Alex Williams Handbook of Analytical Techniques 2002 Wiley, Roitt’s Essential Immunology, Thirteenth Edition. Peter J. Delves, Seamus J. Martin,Dennis R. Burton, and Ivan M. Roitt. © 2017 John Wiley & Sons Ltd. Published 2017 by John Wiley & Sons Ltd.Companion https://pubmed.ncbi.nlm.nih.gov/
References:	Helmut Giinzler and Alex Williams Handbook of Analytical Techniques 2002 Wiley, Roitt’s Essential Immunology, Thirteenth Edition. Peter J. Delves, Seamus J. Martin,Dennis R. Burton, and Ivan M. Roitt. © 2017 John Wiley & Sons Ltd. Published 2017 by John Wiley & Sons Ltd.Companion https://pubmed.ncbi.nlm.nih.gov/

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3
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 effectice 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; 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 effectice 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; 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
Homework Assignments	2	% 100
total		% 100
PERCENTAGE OF SEMESTER WORK		% 100
PERCENTAGE OF FINAL WORK		%
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Homework Assignments	2	60			120
Total Workload					120