Information
Unit | FACULTY OF SCIENCE AND LETTERS |
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING PR. (ENGLISH) | |
Code | YZZ111 |
Name | Introduction to Computer Science |
Term | 2025-2026 Academic Year |
Semester | 1. Semester |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 3 National Credit |
Teaching Language | İngilizce |
Level | Lisans Dersi |
Type | Normal |
Label | FE Field Education Courses C Compulsory |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Dr. Öğr. Üyesi Cevher ÖZDEN |
Course Instructor |
Dr. Öğr. Üyesi Cevher ÖZDEN
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to enable students to become familiar with basic information technologies and to use office programs frequently used in the public and private sectors at an adequate level.
Course Content
In this course, basic concepts, operating systems and their uses, word processing programs, spreadsheet and graphic drawing programs, presentation preparation programs, and the use of network services are covered.
Course Precondition
None
Resources
J. Glenn Brookshear, Bilgisayar Bilimlerine Giriş, 2020, Nobel Yayıncılık, Ankara
Notes
Course presentations
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Uses the operating system effectively. |
LO02 | Knows the computer and its hardware. |
LO03 | Explains the Internet and its applications, effective Internet searching, email systems, and malware. |
LO04 | Creates functional documents with a text editor. |
LO05 | Creates functional presentations with the presentation program. |
LO06 | It produces results by processing data with the table processing program. |
LO07 | Develops a positive attitude towards lifelong learning, being aware of learning needs, and also the use of information and communication technologies required by the field. |
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. | 3 |
PLO02 | Bilgi - Kuramsal, Olgusal | Learns basic computer topics such as software development, programming languages, and database management. | 4 |
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. | 3 |
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. | 2 |
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. | 3 |
PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | It provides a mindset open to technological innovations. | 4 |
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. | 4 |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Identify the software and hardware components that make up a computer | Reading relevant topics from the textbook | Öğretim Yöntemleri: Soru-Cevap, Beyin Fırtınası |
2 | Data Storage | Reading relevant topics from the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
3 | Data Processing | Reading relevant topics from the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
4 | Operating Systems | Reading relevant topics from the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
5 | Introduction to Word Processing Software | Reading relevant topics from the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
6 | Document Preparation Methods | Reading relevant topics from the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
7 | Designing a Spreadsheet | Reading relevant topics from the textbook | Öğretim Yöntemleri: Soru-Cevap, Tartışma |
8 | Mid-Term Exam | Preparing for the Exam | Ölçme Yöntemleri: Yazılı Sınav |
9 | Data Processing with Tables | Reading relevant topics from the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
10 | Introduction to presentation preparation programs | Reading relevant topics from the textbook | Öğretim Yöntemleri: Soru-Cevap, Anlatım |
11 | Presentation Design | Reading relevant topics from the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
12 | Introduction to Computer Networks | Reading relevant topics from the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
13 | Programming Languages | Reading relevant topics from the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
14 | Algorithms | Reading relevant topics from the textbook | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
15 | Database Systems | Reading relevant topics from the textbook | Öğretim Yöntemleri: Anlatım, Tartışma |
16 | Term Exams | Preparing for the Exam | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Preparing for the Exam | Ölçme Yöntemleri: Yazılı Sınav |
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 | 5 | 70 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
Final Exam | 1 | 28 | 28 |
Total Workload (Hour) | 152 | ||
Total Workload / 25 (h) | 6,08 | ||
ECTS | 6 ECTS |