Bioinformatics and Genetics (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

DIL514

Course Name:

English for Specific Purposes 4

Semester:

Spring

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:

Face to face

Course Coordinator:

Eğitim Danışmanı GÜLŞAH ERDAŞ

Course Lecturer(s):

Öğr. Gör. CEM ŞENCAN

Course Assistants:

Course Objective and Content

Course Objectives:	It is aimed to develop professional language skills at the upper level by using original professional materials prepared by our lecturers for the academic programs that the students continue. In this course, the concept of ethics, the ethical debates in the future fields of study, the latest technological developments in the field and the effects of these developments are emphasized.
Course Content:	Advanced knowledge and terminology related to the department, activities for the four basic skills of students, reading, writing, listening and speaking.

Learning Outcomes

The students who have succeeded in this course;
1) Students can easily understand everything they hear or read.
2) Students can summarize and synthesize the knowledge they have acquired from different written or oral sources and present a discussion on these sources with a fluent and natural expression.
3) Students can express themselves fully by using a fluent, natural and understandable language.
4) Students can benefit from subtle differences while expressing themselves in complex situations.
5) Students can write fluent and complex reports, articles or compositions that describe a problem or event, or include a critical assessment of literary works.

Course Flow Plan

Week	Subject	Related Preparation
1)	Recognition of the profession.	Authentic and original materials prepared by our lecturers.
2)	Recognition of the profession.	Authentic and original materials prepared by our lecturers.
3)	Basic terms in the profession.	Authentic and original materials prepared by our lecturers.
4)	Basic terms in the profession.	Authentic and original materials prepared by our lecturers.
5)	Occupational areas and working conditions.	Authentic and original materials prepared by our lecturers.
6)	Occupational areas and working conditions.	Authentic and original materials prepared by our lecturers.
7)	Tools and equipment used in the profession.	Authentic and original materials prepared by our lecturers.
8)	Midterm Week
9)	Theories and methods prevailing in the field and profession.	Authentic and original materials prepared by our lecturers.
10)	The theories and methods that prevail in the field and profession.	Authentic and original materials prepared by our lecturers.
11)	Scientific ethics.	Authentic and original materials prepared by our lecturers.
12)	Scientific ethics.	Authentic and original materials prepared by our lecturers.
13)	Current developments in the field and studies.	Authentic and original materials prepared by our lecturers.
14)	Current developments in the field and studies.	Authentic and original materials prepared by our lecturers.
15)	Final Week
16)	Final Week

Sources

Course Notes / Textbooks:	Her bölüm için bir öğretim görevlimiz tarafından hazırlanan orijinal ve otantik materyaller.
References:	Original and authentic materials prepared by a faculty member for each department.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Has theoretical and practical knowledge in mathematics, computer, statistics, genetics and programming, that is essence to be proficient in bioinformatics and genetics.
2) Has the basic ability to remodel, evaluate or simulate the fundamental research subjects such as molecular cell biology, genetic structure of the living organisms and understanding the modelling of evolution by using computer-based approaches.
3) Has the knowledge and ability to identify scientific problems in the field of bioinfomatics and genetics, to design and conduct experiments independently in the laboratory and digital environment, to collect data, analyze, draw conclusions, interpret and present data in oral and written fashion.
4) Has the skills of effective communication, planning, and decision making by taking responsibility in individual or teamwork.
5) Has the ability to produce output and useful models that offer original, creative and innovative solutions to problems by using inquiring, productive and entrepreneurial features effectively.
6) Has the habitude to examine the field of bioinformatics and genetics or other subjects overlaping with these fields with analytical and critical point of view and to follow them throughout life.
7) Has the ability to identify social problems, to create solutions through interdisciplinary cooperation in national and international social and scientific arenas, or be a part of the solution.
8) Has the ability to use software programs and information and communication technologies in data analysis and evaluation, at least at the European Computer License Basic Level.
9) Has the ability to use at least one foreign language orally and in writing at B1 General Level in terms of European Language Portfolio criteria.
10) Has the awareness to respect social, cultural, and individual differences, universal and ethical values, and human rights in the scientific and professional activities that is included.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Has theoretical and practical knowledge in mathematics, computer, statistics, genetics and programming, that is essence to be proficient in bioinformatics and genetics.	3
2)	Has the basic ability to remodel, evaluate or simulate the fundamental research subjects such as molecular cell biology, genetic structure of the living organisms and understanding the modelling of evolution by using computer-based approaches.	3
3)	Has the knowledge and ability to identify scientific problems in the field of bioinfomatics and genetics, to design and conduct experiments independently in the laboratory and digital environment, to collect data, analyze, draw conclusions, interpret and present data in oral and written fashion.	3
4)	Has the skills of effective communication, planning, and decision making by taking responsibility in individual or teamwork.	3
5)	Has the ability to produce output and useful models that offer original, creative and innovative solutions to problems by using inquiring, productive and entrepreneurial features effectively.	3
6)	Has the habitude to examine the field of bioinformatics and genetics or other subjects overlaping with these fields with analytical and critical point of view and to follow them throughout life.	3
7)	Has the ability to identify social problems, to create solutions through interdisciplinary cooperation in national and international social and scientific arenas, or be a part of the solution.	3
8)	Has the ability to use software programs and information and communication technologies in data analysis and evaluation, at least at the European Computer License Basic Level.	3
9)	Has the ability to use at least one foreign language orally and in writing at B1 General Level in terms of European Language Portfolio criteria.	3
10)	Has the awareness to respect social, cultural, and individual differences, universal and ethical values, and human rights in the scientific and professional activities that is included.	3

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	10	% 10
Presentation	1	% 10
Midterms	1	% 35
Final	1	% 45
total		% 100
PERCENTAGE OF SEMESTER WORK		% 55
PERCENTAGE OF FINAL WORK		% 45
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
Course Hours	14	0	4		56
Homework Assignments	10	0	7		70
Midterms	1	0	1		1
Final	1	0	1		1
Total Workload					128