TURKISH LANGUAGE

Course Description

The aim of the course is to develop language consciousness, to improve the grammatical knowledge, and to increase the understanding and writing skills. This course is based on the educational development of the usage of the language and improvement of expressions. Improvement of basic knowledge about the Turkish language is the main target.

TURKISH LANGUAGE

Evaluation Tools (Active Term)

Course outcomes

1. 01 -
2. 02 -
3. 03 -

Course Syllabus

Reference Books & Course Materials

1. 01 Muhittin Bilgin (2015). Anlamdan Anlatıma Türkçemiz, Anı Yayıncılık. 3. Baskı
2. 02 Kavcar, Cahit (2009). Yazılı ve Sözlü Anlatım, Anı Yayıncılık. Ankara.
3. 03 ERGİN Muharrem (2005). Türk Dil Bilgisi, İstanbul, ISBN: 975-7728-06-03.7.

Learning Outcomes

1. L01 1. Distinguish the types and characteristics of the texts encountered. SOLO 4
2. L02 2. Distinguish the types of written expression. SOLO 4
3. L03 3.Will be able to recognize the features appropriate to the structure of language in the written expression of Turkish. SOLO 4
4. L04 4. Applies the linguistic elements such as words, sentences, words, proverbs and idioms in accordance with the purpose. SOLO 4
5. L05 6. Distinguish forms of expression. SOLO 4
6. L06 7. Detects expression disorders. SOLO 4
7. L07 1. Distinguish the types and characteristics of the texts encountered. SOLO 4
8. L08 2. Distinguish the types of written expression. SOLO 4
9. L09 3.Will be able to recognize the features appropriate to the structure of language in the written expression of Turkish. SOLO 4

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix