YZZ110 Technical Writing

3 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING PR. (ENGLISH)
Code YZZ110
Name Technical Writing
Term 2025-2026 Academic Year
Semester 2. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Belirsiz
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi Cevher ÖZDEN
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

To provide students with the ability to read and write in their own fields.

Course Content

Conducting writing studies in fields related to artificial intelligence and machine learning

Course Precondition

None

Resources

Articles, texts and paragraphs compiled from the internet and various books

Notes

Technical writing samples


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Can talk about the text with vocabulary practice on given content and topics.
LO02 He knows how to convey important information effectively and efficiently through articles related to his field.
LO03 It defines the purpose for which a document is prepared and the target audience.
LO04 Knows different writing styles and how to use them effectively when preparing text.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal It provides a broad range of knowledge about fundamental Computer Science concepts, algorithms and data structures.
PLO02 Bilgi - Kuramsal, Olgusal Learns basic computer topics such as software development, programming languages, and database management.
PLO03 Bilgi - Kuramsal, Olgusal Understands advanced computing fields such as data science, artificial intelligence, and machine learning.
PLO04 Belirsiz Learn about topics such as computer networks, cyber security, and database design.
PLO05 Beceriler - Bilişsel, Uygulamalı Develops skills in designing, implementing and analyzing algorithms.
PLO06 Beceriler - Bilişsel, Uygulamalı Gains the ability to use different programming languages effectively
PLO07 Beceriler - Bilişsel, Uygulamalı Learns data analysis, database management and big data processing skills.
PLO08 Beceriler - Bilişsel, Uygulamalı Gains practical experience by working on software development projects.
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Strengthens collaboration and communication skills within the team. 4
PLO10 Yetkinlikler - Alana Özgü Yetkinlik It provides a mindset open to technological innovations. 3
PLO11 Yetkinlikler - Öğrenme Yetkinliği Encourages continuous learning and self-improvement competence. 4
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Develops the ability to solve complex problems. 3


Week Plan

Week Topic Preparation Methods
1 Mobile Phones: Features and Functions Read the Related Article Öğretim Yöntemleri:
Anlatım
2 Robots, android systems, artificial intelligence systems Read the related article Öğretim Yöntemleri:
Tartışma
3 Control and Network Devices Read the related article Öğretim Yöntemleri:
Anlatım
4 Advanced trends: Computers in every field Read the related article Öğretim Yöntemleri:
Tartışma
5 General prefixes Reading the related article Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 General suffixes Reading the related article Öğretim Yöntemleri:
Anlatım
7 Compound nouns and adjectives Reading the related article Öğretim Yöntemleri:
Anlatım, Soru-Cevap
8 Mid-Term Exam Mid-Term Exam Ölçme Yöntemleri:
Proje / Tasarım
9 Definition and classification Reading the relevant article Öğretim Yöntemleri:
Anlatım
10 Qualification and comparison Reading the relevant article Öğretim Yöntemleri:
Anlatım, Soru-Cevap
11 Identification of technical operations Reading the relevant article Öğretim Yöntemleri:
Anlatım
12 Problem solving Reading the related article Öğretim Yöntemleri:
Anlatım, Tartışma
13 Information and Communication Technologies: Components and Functions Read the related article Öğretim Yöntemleri:
Anlatım
14 Web Design: HTML, Basic Components Read the Related Article Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 Review of previous topics Reading the related article Öğretim Yöntemleri:
Alıştırma ve Uygulama, Soru-Cevap
16 Final Exams Final Exams Ölçme Yöntemleri:
Proje / Tasarım
17 Final Exams Final Exams Ölçme Yöntemleri:
Proje / Tasarım


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 2 8 16
Mid-term Exams (Written, Oral, etc.) 0 0 0
Final Exam 0 0 0
Total Workload (Hour) 86
Total Workload / 25 (h) 3,44
ECTS 3 ECTS

Update Time: 28.08.2025 04:17