TURKISH
- Course
- TURK100 - TURKISH
- Department
- School of Foreign Languages
- Course Type
- Online Course
- Status
- Required
- Language
- English
- Credit
- 0
- ECTS
- 2
- T+P+L
- 2 + 0 + 0
- Course Coordinator(s)
- Instr. Rüya TALAB
- Prerequisite
- -
Course Description
This course provides an orientation to modern Turkish language for foreign students who wish to communicate in this language for their needs. It mainly focuses on the differences between Turkish and English Alphabets, especially the sounds and the letters which are not included in the English alphabet (i.e. Turkish letters ç-ğ-i-ö-ş-ü). In addition, basic grammar and sentence structure forms in Turkish are practised. The required grammar and vocabulary will also be developed through their adaptation to daily situations in contexts such as introducing yourselves, greeting, talking about the things they possess by using possessive adjectives, forming positive, negative and question sentences by using present simple, telling the time, talking about their own timetables, using demonstrative pronouns when describing the place of objects and becoming familiar with vocabulary related to family members.
TURKISH
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| MIDTERM | Midterm | 45 |
| FINAL | Final | 55 |
| Total | 100 | |
Course outcomes
- 01 Students will be able to process necessary vocabulary for daily use and explain their daily routines
- 02 recognize the main point in short clear messages and transmit the messages in their own words.
- 03 construct sentences about their families and friends based on eveyday materials.
- 04 describe themselves and express their ideas
- 05 write a paragraph about themselves and family members.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to the course. |
| Week 2 | Introducing yourself. Alphabet, Different letters and characteristics, Syllables. |
| Week 3 | Greetings, Meeting someone, I Personal pronouns; Possessive adjectives. |
| Week 4 | Basic verbs, Basic adjectives,Verb "TO BE" affirmative. |
| Week 5 | Verb "TO BE" negative and question form. |
| Week 6 | Practicing verb "TO BE" & Revision |
| Week 7 | Presents Simple negative and question form, Classroom objects, Animals, This That These Those. |
| Week 8 | Midterm Exam |
| Week 9 | Midterm Exam |
| Week 10 | Question words, Locative case endings. |
| Week 11 | Numbers, Days, Months and seasons; Countries, Nationalities, Languages. |
| Week 12 | Filling in the form with personal information. |
| Week 13 | Present Simple affirmative form. |
| Week 14 | Present Simple affirmative form. |
| Week 15 | Final Exam |
Reference Books & Course Materials
- 01 Öztürk, T. (ark), Ebru Turkçe Ders Kitabı 1, Dilset Yayinları, İstanbul 2009.
- 02 Bayramoğlu, A. Let's Learn Turkish, Keskin Color Matbaası, İstanbul 2004.
- 03 Supplementary materials
Learning Outcomes
- L01 Students will be able to process necessary vocabulary for daily use and explain their daily routines
- L02 recognize the main point in short clear messages and transmit the messages in their own words.
- L03 construct sentences about their families and friends based on everyday materials.
- L04 write a paragraph about themselves and family members.
Program Outcomes
- P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
- P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
- P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
- P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
- 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.
- P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
- P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
- P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
- 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
- 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
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - |