Kodu | Dersin Adı | Yarıyıl | Süresi(T+U) | Kredisi | AKTS Kredisi |
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YBS410 | AĞ ANALİZİ | 8 | 3 | 3 | 8 |
DERS BİLGİLERİ |
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Dersin Öğretim Dili : | Türkçe |
Dersin Düzeyi | BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle |
Dersin Türü | Zorunlu |
Dersin Veriliş Şekli | - |
Dersin Koordinatörü | Assist.Prof. DİDEM TETİK KÜÇÜKELÇİ |
Dersi Veren Öğretim Üyesi/Öğretim Görevlisi | |
Ders Ön Koşulu | Yok |
AMAÇ VE İÇERİK |
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Amaç: | The aim of the course is to focus on graph theory, understanding the concept and importance of social networks, learning the types and differences of networks, social network and community analysis, data collection for social networks, visualization of networks with the help of computers, theories and applications of network analysis. |
İçerik: | Contents of the course include providing necessary basic information and similar structures about the subjects such as learning various algorithms and applications in network environments, network flow design, showing nodes as data structures and expressing their relations with each other, search on the network structure, shortest path algorithms, various problems of optimization techniques and their solution methods and obtaining optimal results. |
DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.) |
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Explain the key concepts and algorithms of network analysis. (explain) |
Analyze network structure with appropriate techniques.(analysis) |
Choose the appropriate methodology for analyzing networks.(choose) |
Calculate the connection between network nodes.(calculate) |
Combine big data analysis and statistical analysis methods.(combine) |
HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI |
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Hafta | Ön Hazırlık | Konular | Yöntem |
1 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Introduction to Network Science | Lecture & Practice |
2 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Basic graph information | Lecture & Practice |
3 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Network criteria | Lecture & Practice |
4 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Global Network criteria | Lecture & Practice |
5 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Network models | Lecture & Practice |
6 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Community analysis | Lecture & Practice |
7 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Network visualisation | Lecture & Practice |
8 | - | MID-TERM EXAM | - |
9 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Bringing network features forefront | Lecture & Practice |
10 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Network software | Lecture & Practice |
11 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Network data sets | Lecture & Practice |
12 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Network analysis over Gephi | Lecture & Practice |
13 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Network analysis over NodeXL | Lecture & Practice |
14 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Networking and types of network | Lecture & Practice |
15 | Reading a Chapter in the Coursebook, Assignment, Sample Analysis | Network filtering | Lecture & Practice |
16 | - | FINAL EXAM | - |
17 | - | FINAL EXAM | - |
KAYNAKLAR |
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Gursakal, N. (2009). Sosyal Ag Analizi. Dora Publications. |
Tunali V. (2016). Sosyal Ag Analizi. Nobel Publications. |
ÖLÇME VE DEĞERLENDİRME |
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Yarıyıl İçi Yapılan Çalışmaların Ölçme ve Değerlendirmesi | Etkinlik Sayısı | Katkı Yüzdesi | Açıklama |
(0) Etkisiz | (1) En Düşük | (2) Düşük | (3) Orta | (4) İyi | (5) Çok İyi |
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0 | 1 | 2 | 3 | 4 | 5 |
KNOWLEDGE | |||||||
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Theoretical | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Define concepts such as management, manager and leader.
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4 | |||||
2 |
Analyze the accuracy, reliability and validity of the new information obtained from the data.
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5 |
KNOWLEDGE | |||||||
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Factual | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Report the obtained data.
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5 | |||||
2 |
Prepare software and projects related with the field.
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5 |
SKILLS | |||||||
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Cognitive | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Use the appropriate resources for data analysis related with the field.
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5 | |||||
2 |
Analyze the work processes.
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5 |
SKILLS | |||||||
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Practical | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Manage projects as part of a team.
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5 | |||||
2 |
Apply the material, techniques and analyzes in relation with the subject for project and work flows.
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5 |
OCCUPATIONAL | |||||||
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Autonomy & Responsibility | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Fulfill responsibility with a focus on result in individual and team studies.
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5 |
OCCUPATIONAL | |||||||
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Learning to Learn | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Recognizes what he/she knows about his/her field or not.
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5 | |||||
2 |
Act the theoretical knowledge in real life with learning to learn approach.
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5 | |||||
3 |
Apply different methods and techniques with an innovative approach in his/her research.
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5 |
OCCUPATIONAL | |||||||
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Communication & Social | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Apply the results obtained in accordance with voluntarism and social responsibility projects.
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5 | |||||
2 |
Establish a healthy contact with colleagues
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4 | |||||
3 |
Share the analyzes and obtained results with colleagues.
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4 | |||||
4 |
Cooperate with colleagues at international level with the help of foreign language competency.
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4 |
OCCUPATIONAL | |||||||
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Occupational and/or Vocational | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Behave in accordance with ethical values regarding the collection, analysis and reporting of data.
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5 | |||||
2 |
Participate the design of work processes and systems with full quality.
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5 | |||||
3 |
Cooperate with other employees for the continuation of sustainability in the profession.
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4 |
DERSİN İŞ YÜKÜ VE AKTS KREDİSİ |
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Öğrenme-Öğretme Etkinlikleri İş Yükü | |||
Öğrenme-Öğretme Etkinlikleri | Etkinlik(hafta sayısı) | Süresi(saat sayısı) | Toplam İş Yükü |
Lecture & In-Class Activities | 14 | 3 | 42 |
Preliminary & Further Study | 13 | 3 | 39 |
Land Surveying | 0 | 0 | 0 |
Group Work | 0 | 0 | 0 |
Laboratory | 14 | 2 | 28 |
Reading | 0 | 0 | 0 |
Assignment (Homework) | 13 | 2 | 26 |
Project Work | 0 | 0 | 0 |
Seminar | 0 | 0 | 0 |
Internship | 0 | 0 | 0 |
Technical Visit | 0 | 0 | 0 |
Web Based Learning | 0 | 0 | 0 |
Implementation/Application/Practice | 0 | 0 | 0 |
Practice at a workplace | 0 | 0 | 0 |
Occupational Activity | 0 | 0 | 0 |
Social Activity | 0 | 0 | 0 |
Thesis Work | 0 | 0 | 0 |
Field Study | 0 | 0 | 0 |
Report Writing | 0 | 0 | 0 |
Final Exam | 1 | 1 | 1 |
Preparation for the Final Exam | 7 | 5 | 35 |
Mid-Term Exam | 1 | 1 | 1 |
Preparation for the Mid-Term Exam | 7 | 4 | 28 |
Short Exam | 0 | 0 | 0 |
Preparation for the Short Exam | 0 | 0 | 0 |
TOTAL | 70 | 0 | 200 |
Genel Toplam | 200 | ||
Toplam İş Yükü / 25.5 | 7,8 | ||
Dersin AKTS(ECTS) Kredisi | 8,0 |