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VERİ ANALİTİĞİ II DERS TANITIM VE UYGULAMA BİLGİLERİ

Kodu Dersin Adı Yarıyıl Süresi(T+U) Kredisi AKTS Kredisi
YBS316 VERİ ANALİTİĞİ II 6 3 3 8

DERS BİLGİLERİ

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

Amaç: This course aims to enable students to develop basic algorithms in order to solve different types of problems and to teach the basic structures of programming and programming in a computerized environment; thus, it aims to make students think like a data scientist.
İçerik: The content of the course is the concepts of algorithms and programming, variables, data types, input and output statements, arrays, lists, dictionaries, functions, file operations and the use of Python as a data analytics tool.

DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.)

Develop algorithm for solving problems encountered in daily life. {develop}
Evaluate the functions of the Python programming language.{evaluate}
Design algorithms with Python programming language. {design}
Test the usability of algorithms.{testing}
Apply machine learning design to create solutions that meet the needs identified taking into account global, cultural, social, environmental and economic factors, as well as public health, safety and well-being.{Application}

HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI

Hafta Ön Hazırlık Konular Yöntem
1 - Data, Information, Knowledge Concepts Lecture & Studying on Sample & Practice
2 Studying on Sample, Assignment Explaining R infrastructure and its installation Lecture & Studying on Sample & Practice
3 Studying on Sample, Assignment Loop structure and its functions Lecture & Studying on Sample & Practice
4 Studying on Sample, Assignment Data types (structural, non-structural nominal, ordinal data) Lecture & Studying on Sample & Practice
5 Studying on Sample, Assignment Basic statistical calculation and visualisation Lecture & Studying on Sample & Practice
6 Studying on Sample, Assignment Data pre-processing process Lecture & Studying on Sample & Practice
7 Studying on Sample, Assignment Principal Component Analysis Lecture & Studying on Sample & Practice
8 - MID-TERM EXAM -
9 Studying on Sample, Assignment Regression analysis Lecture & Studying on Sample & Practice
10 Studying on Sample, Assignment Hypothesis tests Lecture & Studying on Sample & Practice
11 Studying on Sample, Assignment Decision trees Lecture & Studying on Sample & Practice
12 Studying on Sample, Assignment Choosing Model and its methods Lecture & Studying on Sample & Practice
13 Studying on Sample, Assignment Logistic Regression Lecture & Studying on Sample & Practice
14 Studying on Sample, Assignment Practice Studying on Sample & Practice
15 Studying on Sample, Assignment Practice Studying on Sample & Practice
16 - FINAL EXAM -
17 - FINAL EXAM -

KAYNAKLAR

Gursakal, N. (2014). Istatistikte R ile Programlama.
Arslan, I. (2015). R ile Istatistiksel Programlama. Pusula Publications, Istanbul.

ÖLÇME VE DEĞERLENDİRME

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
0 1 2 3 4 5

DERSİN PROGRAM ÖĞRENME ÇIKTILARINA KATKISI

KNOWLEDGE
Theoretical
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Define concepts such as management, manager and leader.
4
2
Analyze the accuracy, reliability and validity of the new information obtained from the data.
5
KNOWLEDGE
Factual
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Report the obtained data.
5
2
Prepare software and projects related with the field.
5
SKILLS
Cognitive
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Use the appropriate resources for data analysis related with the field.
5
2
Analyze the work processes.
5
SKILLS
Practical
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Manage projects as part of a team.
5
2
Apply the material, techniques and analyzes in relation with the subject for project and work flows.
5
OCCUPATIONAL
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.
5
OCCUPATIONAL
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.
5
2
Act the theoretical knowledge in real life with learning to learn approach.
4
3
Apply different methods and techniques with an innovative approach in his/her research.
5
OCCUPATIONAL
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.
5
2
Establish a healthy contact with colleagues
3
3
Share the analyzes and obtained results with colleagues.
3
4
Cooperate with colleagues at international level with the help of foreign language competency.
4
OCCUPATIONAL
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.
4
2
Participate the design of work processes and systems with full quality.
5
3
Cooperate with other employees for the continuation of sustainability in the profession.
3

DERSİN İŞ YÜKÜ VE AKTS KREDİSİ

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 7 4 28
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 0 0 0
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 14 2 28
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 64 0 202
Genel Toplam 202
Toplam İş Yükü / 25.5 7,9
Dersin AKTS(ECTS) Kredisi 8,0