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

Course Introduction and Application Information

Course Code: UNI334
Course Name: Communication Strategies
Semester: Spring
Fall
Course Credits:
ECTS
5
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
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: Doç. Dr. ASUMAN KUTLU
Course Lecturer(s): Assoc Prof. Asuman Kutlu
Course Assistants:

Course Objective and Content

Course Objectives: This course aims to help students understand communication process and develop strategies to improve their communication skills.
Course Content: This course covers communication process, verbal and non-verbal communication in interpersonal relationship, organizational communication, perception and persuasive communication and media studies.

Learning Outcomes

The students who have succeeded in this course;
1) Will be able to develop an understanding of communication process.
2) Will be able to appreciate the role of verbal and non-verbal communication skills in effective communication.
3) Will be able to recognize the impact of perception in communication,
4) Will be able to have an understanding of communication in different contexts.

Course Flow Plan

Week Subject Related Preparation
1) Introduction to Communication and Components of Communication Process
2) Verbal Communication-Public speaking
3) Verbal Communication-The Importance of Listening
4) Non-verbal Communication
5) Perception and Communication
6) Organizational Communication
7) Persuasive Communication
8) Midterm
9) Mass Communication
10) Mass Communication Theories
11) Online Communication
12) Media Literacy and Digital Media
13) Genel Değerlendirme
14) Final examination

Sources

Course Notes / Textbooks: Stanley Baran ve Dennis K. Davis (2011) Mass Communication Theory: Foundations, Ferment, and Future, Boston, Wadsworth.
References: Nazife Güngör (2021) İletişime Giriş, Ankara, Siyasal Kitabevi

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4
Program Outcomes
1) Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.
2) Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.
3) Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.
4) Have the ability to think analytically and use the time effectively in the process of deduction.
5) Have the ability to search the literature, understand and interpret scientific articles.
6) Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7) Have the ability to work efficiently in interdisciplinary teams.
8) Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.
9) Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.
10) Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.
11) Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.
2) Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.
3) Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.
4) Have the ability to think analytically and use the time effectively in the process of deduction.
5) Have the ability to search the literature, understand and interpret scientific articles.
6) Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7) Have the ability to work efficiently in interdisciplinary teams.
8) Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.
9) Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.
10) Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.
11) Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Presentation 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 Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 14 3 3 84
Study Hours Out of Class 14 0 3 42
Midterms 1 0 3 3
Final 1 0 3 3
Total Workload 132