TURKISH LANGUAGE II PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
TRD102	TURKISH LANGUAGE II	2	2	2	2

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. ONUR TÜRKER
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	In this course, the students learn the properties of the Turkish language, to eliminate the deficiencies through the examples of the language, to improve the rules of language, to improve the vocabulary with written and oral texts, to comply with the spelling (spelling) rules, gaining the ability to use punctuation marks in place and to use the mother tongue in the use of knowledge skills and to gain attitudes.
Contents of the Course Unit:	Types of sentence, narrative disorders, paragraph expression styles, types of written expression, types of oral expression, spelling rules and punctuation marks

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Lists the types of written and oral expression according to the opinions of the researchers who have done research on Turkish Language.
Makes applications to understand the kinds of sentences on sample texts.
Uses in-field and out-of-field sources of information when writing academic texts.
Classifies the narrative disorders according to their types on the sample texts.
Evaluates the sample texts by taking into account the rules of writing and punctuation.
Evaluates the sample texts from an academic perspective by looking at the scientific, critical, creative and constructive thinking fronts.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Video viewing / reading	Types of Sentences	Programmed Learning - Video Conference, Expression, Discussion
2	Video viewing / reading	Word Groups	Programmed Learning - Video Conference, Expression, Discussion
3	Video viewing / reading	Composition	Programmed Learning - Video Conference, Expression, Discussion
4	Video viewing / reading	Narration Forms	Programmed Learning - Video Conference, Expression, Discussion
5	Video viewing / reading	Speaking and Forms of Speaking	Programmed Learning - Video Conference, Expression, Discussion
6	Video viewing / reading	Incoherencies	Programmed Learning - Video Conference, Expression, Discussion
7	Video viewing / reading	Incoherencies	Programmed Learning - Video Conference, Expression, Discussion
8	-	MID-TERM EXAM	-
9	Video viewing / reading	Incoherencies	Programmed Learning - Video Conference, Expression, Discussion
10	Video viewing / reading	Diction and Diction Rules	Programmed Learning - Video Conference, Expression, Discussion
11	Video viewing / reading	Communication and Its Types	Programmed Learning - Video Conference, Expression, Discussion
12	Video viewing / reading	Didactical Forms	Programmed Learning - Video Conference, Expression, Discussion
13	Video viewing / reading	Forms that Happen Around the Event	Programmed Learning - Video Conference, Expression, Discussion
14	Video viewing / reading	Theater	Programmed Learning - Video Conference, Expression, Discussion
15	Video viewing / reading	Types of Poetry	Programmed Learning - Video Conference, Expression, Discussion
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Turan, F. (2014). Stages of Evolution: Studies in Turkish Language and Literature. İstanbul: The Isis.
Aksan D. (1977-86). Her Yönüyle Dil, 1, 2, 3. Ankara: TDK Yayınları.
Aksoy Ö. A. (1990). Dil Yanlışları. Ankara: Emel Matbaacılık.
Ergin M. (1993). Üniversiteler İçin Türk Dili. İstanbul: Bayrak Basım Yayın Dağıtım.
Banguoğlu T. (2000). Türkçenin Grameri. Ankara: TDK Yayınları.
Levent A. S. (1973). Dil Üstüne. Ankara: TDK Yayınları.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The student gains proficiency in the fundamental components of data science and analytics, and is able to practically apply methods related to statistical analysis, data mining, and machine learning.
2	The student is capable of analyzing both structured and unstructured data types and can effectively utilize analytical methods to derive meaningful insights from large datasets.
3	The student can utilize programming languages such as Python, R, and SQL in data analysis and modeling processes and is able to effectively manage data processing and automation tasks.

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The student can express analytical findings clearly and effectively by using data visualization and result reporting techniques, contributing meaningfully to decision-making processes.
2	The student can analyze complex data-driven problems, develop appropriate solutions, and make creative, data-based decisions through the use of scientific research methods.

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The student can analyze problems encountered in the field of data science and analytics, develop solutions by selecting appropriate data analysis techniques, and critically evaluate statistical, algorithmic, and artificial intelligence-based methods.

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The student can effectively use programming languages such as Python, R, and SQL in data science and analytics applications; they are capable of developing practical solutions using data mining, machine learning, big data processing, data visualization, and modeling tools, and can work with real-world datasets.

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The student is able to take responsibility in individual or team-based projects related to data science and analytics, independently plan and execute complex data-driven tasks, and play an active role in decision-making processes by developing analytical and creative solutions to encountered problems.

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The student possesses the competence for continuous self-improvement with an awareness of lifelong learning by following current developments, technologies, and methods in the field of data science and analytics; they can rapidly acquire new knowledge and skills and apply them effectively.

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The student can communicate their work in data science and analytics clearly and effectively through written, oral, and visual means; they are capable of working efficiently in multidisciplinary teams, engaging in effective communication, and developing collaborative solutions.

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The student has a strong command of the concepts, methods, algorithms, and tools specific to the field of data science and analytics; they can carry out data collection, processing, analysis, and interpretation processes in accordance with ethical principles, and act with a sense of responsibility regarding data privacy and security.

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	2	28
Preliminary & Further Study	13	1	13
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	1	5	5
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	3	3
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	31	0	51