TÜRKÇE
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Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| COMPUTER SCIENCES PR. | |
| Code | BBZ402 |
| Name | Graduation Thesis |
| Term | 2026-2027 Academic Year |
| Semester | 8. Semester |
| Duration (T+A) | 0-2 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 1 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GÜZİN YÜKSEL |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to enable students to conduct literature research in their field and use this knowledge in their projects. It teaches students how to utilize information obtained from various sources across different fields and topics; it develops their critical thinking skills and ethical responsibility, as well as their teamwork and communication abilities.
Course Content
In this course, students are guided to conduct literature reviews and analyses on a specific topic in Computer Science, and to present the problems both in written and oral form.
Course Precondition
None
Resources
Library Resources Related to the Selected Topic
Notes
Library Resources Related to the Selected Topic
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | He/She conducts independent scientific research on a specified topic within the field. |
| LO02 | He/She uses research methods appropriate to the field. |
| LO03 | He/She plans the work process. |
| LO04 | He/She writes theses in accordance with academic writing rules and scientific ethical guidelines. |
| LO05 | He/She applies the theoretical knowledge he/she has acquired academically. |
| LO06 | He/She develops an algorithm using appropriate programming tools for the chosen problem. |
| LO07 | By interpreting the results he/she obtains, he/she makes scientific inferences. |
| LO08 | He/She presents his/her work effectively using oral/visual presentation techniques. |
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 | 1 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Understand advanced computer fields like data science, artificial intelligence, and machine learning. | 4 |
| 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 | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Gain proficiency in using various programming languages effectively | 3 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Learn skills in data analysis, database management, and processing large datasets. | 3 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Acquire practical experience through working on software development projects. | 3 |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Strengthen teamwork and communication skills. | 4 |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Foster a mindset open to technological innovations. | |
| 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 | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to the graduation thesis process, expectations, evaluation criteria, and project stages. | Reading Sources | Öğretim Yöntemleri: Proje Temelli Öğrenme , Anlatım |
| 2 | Determining the students' area of study and selecting a project topic. | Reading Sources | Öğretim Yöntemleri: Soru-Cevap, Beyin Fırtınası |
| 3 | Defining the problem and establishing aims and objectives. | Reading Sources | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Review of primary sources and related studies. | Reading Sources | Öğretim Yöntemleri: Bireysel Çalışma, Anlatım |
| 5 | Reviewing current research and reporting on sources. | Reading Sources | Öğretim Yöntemleri: Tartışma, Örnek Olay |
| 6 | Determining the research methodology, software tools, and technologies to be used. | Reading Sources | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Örnek Olay |
| 7 | Creating timelines, planning work packages. | Reading Sources | Öğretim Yöntemleri: Tartışma, Soru-Cevap |
| 8 | Mid-Term Exam | Thesis progress report | Ölçme Yöntemleri: Performans Değerlendirmesi, Sözlü Sınav |
| 9 | Project coding and basic system development process. | Application Process | Öğretim Yöntemleri: Alıştırma ve Uygulama, Problem Çözme |
| 10 | Continuation of the development process and completion of the modules. | Application Process | Öğretim Yöntemleri: Örnek Olay, Problem Çözme |
| 11 | Testing the system and obtaining results. | Application Process | Öğretim Yöntemleri: Alıştırma ve Uygulama, Proje Temelli Öğrenme |
| 12 | Analyzing and interpreting the results obtained. | Application Process | Öğretim Yöntemleri: Alıştırma ve Uygulama, Problem Çözme |
| 13 | Preparation of the thesis report. | Thesis Writing Rules | Öğretim Yöntemleri: Örnek Olay |
| 14 | Preparation of the presentation. | Presentation Examples | Öğretim Yöntemleri: Örnek Olay, Bireysel Çalışma |
| 15 | Project presentation and thesis report submission. | Thesis Report and Presentation | Öğretim Yöntemleri: Proje Temelli Öğrenme |
| 16 | Term Exams | Thesis Report | Ölçme Yöntemleri: Performans Değerlendirmesi |
| 17 | Term Exams | Thesis Report | Ölçme Yöntemleri: Performans Değerlendirmesi |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 15 | 3 | 45 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 20 | 20 |
| Mid-term Exams (Written, Oral, etc.) | 0 | 0 | 0 |
| Final Exam | 0 | 0 | 0 |
| Total Workload (Hour) | 121 | ||
| Total Workload / 25 (h) | 4,84 | ||
| ECTS | 5 ECTS | ||