Kodu | Dersin Adı | Yarıyıl | Süresi(T+U) | Kredisi | AKTS Kredisi |
---|---|---|---|---|---|
YBS317 | VERİ ANALİTİĞİ I | 5 | 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 | Dr.Öğr.Üyesi SÜREYYA İMRE BIYIKLI |
Ders Ön Koşulu | Yok |
AMAÇ VE İÇERİK |
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Amaç: | The aim of this course is to prepare students to collect, define and analyze data and to use advanced statistical tools to make decisions about the field of business. In the scope of the course, data mining algorithms based mainly on prediction will be included and business applications will be made with R language. It is aimed to provide students with problem solving and project development habits with a systematic approach. |
İçerik: | Contents of the course include the subjects such as algorithms and programming concepts, variables, data types, input and output statements, series, lists, dictionaries, functions, file processing. |
DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.) |
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Use different file formats for data input and output. {use} |
Analyze statistical analyses in R, which is an open source platform. {analysis} |
Evaluate the accuracy of the analysed data.{evaluate} |
Develop his/her own analysis technique himself/herself.{develop} |
Assess data extraction and data reduction techniques.{assess} |
HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI |
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Hafta | Ön Hazırlık | Konular | Yöntem |
1 | - | History and development of computers | Lecture & Discussion & Practice |
2 | Literature Review, Assignment | Main components of computer: hardware and software | Lecture & Discussion & Practice |
3 | Literature Review, Assignment | Algorithms and programming concepts | Lecture & Discussion & Practice |
4 | Literature Review, Assignment | Variables, Types of Data, Input and Output Expressions | Lecture & Discussion & Practice |
5 | Literature Review, Assignment | Conditional Expressions | Lecture & Discussion & Practice |
6 | Literature Review, Assignment | Loop structures | Lecture & Discussion & Practice |
7 | Literature Review, Assignment | Arrays: Clusters, Lists, Words | Lecture & Discussion & Practice |
8 | - | MID-TERM EXAM | - |
9 | Literature Review, Assignment | Revision before midterm exam | Lecture & Discussion & Practice |
10 | Literature Review, Assignment | Functions -I | Lecture & Discussion & Practice |
11 | Literature Review, Assignment | Functions -II | Lecture & Discussion & Practice |
12 | Literature Review, Assignment | Strings | Lecture & Discussion & Practice |
13 | Literature Review, Assignment | Files | Lecture & Discussion & Practice |
14 | Literature Review, Assignment | Graph drawing | Lecture & Discussion & Practice |
15 | Literature Review, Assignment | Revision before final exam | Lecture & Discussion & Practice |
16 | - | FINAL EXAM | - |
17 | - | FINAL EXAM | - |
KAYNAKLAR |
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Karacay, T. (2016). Python 3: Veri Yapilari. Seckin Publications. |
Aksoy, A. (2016). Yeni Baslayanlar Icin Python. Abakus 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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5 | |||||
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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4 |
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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4 | |||||
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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3 |
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 | 13 | 2 | 26 |
Laboratory | 0 | 0 | 0 |
Reading | 14 | 1 | 14 |
Assignment (Homework) | 13 | 2 | 26 |
Project Work | 1 | 23 | 23 |
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 | 1 | 10 | 10 |
Final Exam | 1 | 1 | 1 |
Preparation for the Final Exam | 1 | 14 | 14 |
Mid-Term Exam | 1 | 1 | 1 |
Preparation for the Mid-Term Exam | 1 | 7 | 7 |
Short Exam | 0 | 0 | 0 |
Preparation for the Short Exam | 0 | 0 | 0 |
TOTAL | 73 | 0 | 203 |
Genel Toplam | 203 | ||
Toplam İş Yükü / 25.5 | 8 | ||
Dersin AKTS(ECTS) Kredisi | 8,0 |