Information
Code | UTD102 |
Name | Turkish Language II |
Term | 2023-2024 Academic Year |
Semester | 2. Semester |
Duration (T+A) | 2-0 (T-A) (17 Week) |
ECTS | 2 ECTS |
National Credit | 2 National Credit |
Teaching Language | Türkçe |
Level | Lisans Dersi |
Type | Normal |
Mode of study | Uzaktan Öğretim |
Catalog Information Coordinator | Prof. Dr. ENGİN ÇETİN |
Course Instructor |
Öğr. Gör. KÜRŞAT TÜLÜCE
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To make the students, who are studying in various fields in accordance with the constantly progressing conditions of the age, gain the knowledge to write about their thoughts on a matter; prepare texts for activities held on special days; develop good and accurate speaking skills; make up for their deficiencies in language and expression; and types of expression.
Course Content
Aims and objectives of the course, content, materials and introduction of the semester curriculum, spelling and application, punctuation and application, What is expression, feature of expression, types, formats and application of expression, Common mistakes in Turkish expression and correction
Course Precondition
None
Resources
Ders Notları
Notes
Türk Dili ve Kompozisyon
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Oral and written expression of emotions, thoughts, knowledge and experiences. |
LO02 | Using the Turkish versions of the professional and scientific field terms. |
LO03 | Improving the vocabulary |
LO04 | Applying writing styles. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Gain comprehensive knowledge of fundamental concepts, algorithms, and data structures in Computer Science. | |
PLO02 | Bilgi - Kuramsal, Olgusal | Learn essential computer topics such as software development, programming languages, and database management | |
PLO03 | Bilgi - Kuramsal, Olgusal | Understand advanced computer fields like data science, artificial intelligence, and machine learning. | |
PLO04 | Bilgi - Kuramsal, Olgusal | Acquire knowledge of topics like computer networks, cybersecurity, and database design. | |
PLO05 | Beceriler - Bilişsel, Uygulamalı | Develop skills in designing, implementing, and analyzing algorithms | |
PLO06 | Beceriler - Bilişsel, Uygulamalı | Gain proficiency in using various programming languages effectively | |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Learn skills in data analysis, database management, and processing large datasets. | |
PLO08 | Beceriler - Bilişsel, Uygulamalı | Acquire practical experience through working on software development projects. | |
PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Strengthen teamwork and communication skills. | 5 |
PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Foster a mindset open to technological innovations. | 3 |
PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Encourage the capacity for continuous learning and self-improvement. | 4 |
PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Enhance the ability to solve complex problems | 2 |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Aims and objectives of the course, content, materials and introduction of the semester curriculum. | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Soru-Cevap, Tartışma |
2 | Spelling and application | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
3 | Punctuation and application | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
4 | What is expression Feature of expression | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
5 | Types, formats and application of expression | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
6 | Common mistakes in Turkish expression and correction | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
7 | General information on composition | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
8 | Mid-Term Exam | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
9 | Plan for writing composition and its application | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
10 | Written composition types (Emotion-oriented writings, event-oriented writings | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
11 | Written composition types (Thought-oriented writings, analysis writings and other writing types) | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
12 | Oral composition types (Discussion-oriented oral composition types) | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
13 | Oral composition types (Interview-oriented oral composition types) | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
14 | Developing accurate and good speaking skills and related applications by means of selected texts from Turkish and world literature and history of thought.I | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
15 | Developing accurate and good speaking skills and related applications by means of selected texts from Turkish and world literature and history of thought. II | To be prepared to related subject from advised source. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
16 | Term Exams | Final Exam | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Final Exam | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
Out of Class Study (Preliminary Work, Practice) | 14 | 1 | 14 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 4 | 4 |
Final Exam | 1 | 8 | 8 |
Total Workload (Hour) | 54 | ||
Total Workload / 25 (h) | 2,16 | ||
ECTS | 2 ECTS |