BBZ209 Professional English

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

Information

Unit FACULTY OF SCIENCE AND LETTERS
COMPUTER SCIENCES PR.
Code BBZ209
Name Professional English
Term 2024-2025 Academic Year
Semester 3. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label VK Vocational Knowledge Courses C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. HÜSEYİN GÜLER
Course Instructor Öğr. Gör. Dr. Cevher ÖZDEN (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to improve the student's ability to read, understand and translate English texts in the field of Computer Science.

Course Content

Translation of English technical texts into Turkish and English comprehension the content of this course.

Course Precondition

None

Resources

Mesleki İngilizce (Business English), 2. Baskı, Öğr. Gör. Güven Özal, Seçkin Yayıncılık, Ocak 2020.

Notes

Internet sources


Course Learning Outcomes

Order Course Learning Outcomes
LO01 The student distinguishes the English of the technical expressions she will encounter during her education.
LO02 The student reads documents in English.
LO03 The student is able to write technical documents in simple English.
LO04 The student distinguishes the differences between social English and technical English.
LO05 The student makes presentations in English.
LO06 Uses technical terms.
LO07 Infers meaning from English documents.
LO08 Identifies technical expressions.


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.
PLO10 Yetkinlikler - Alana Özgü Yetkinlik Foster a mindset open to technological innovations. 4
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


Week Plan

Week Topic Preparation Methods
1 General information about translation Related chapter from the reference book Öğretim Yöntemleri:
Anlatım
2 Translation of documents in the field of computer science - 1 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
3 Translation of documents in the field of computer science - 2 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
4 Translation of documents in the field of computer science - 3 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
5 Translation of documents in the field of computer science - 4 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
6 Translation of documents in the field of computer science - 5 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
7 Translation of documents in the field of computer science - 6 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-Term Exam Review of topics Ölçme Yöntemleri:
Yazılı Sınav
9 Translation of documents in the field of computer science - 7 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
10 Translation of documents in the field of computer science - 8 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
11 Translation of documents in the field of computer science - 9 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
12 Translation of documents in the field of computer science - 10 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
13 Translation of documents in the field of computer science - 11 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
14 Translation of documents in the field of computer science - 12 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
15 Translation of documents in the field of computer science - 13 Related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Tartışma
16 Term Exams Review of topics Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Review of topics Ölçme Yöntemleri:
Yazılı Sınav


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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 10 1 10
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 20 20
Total Workload (Hour) 87
Total Workload / 25 (h) 3,48
ECTS 3 ECTS

Update Time: 03.03.2025 11:13