BİLİŞİM GÜVENLİĞİ TEKNOLOJİSİ | |||||
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Qualification Awarded | Program Süresi | Toplam Kredi (AKTS) | Öğretim Şekli | Yeterliliğin Düzeyi ve Öğrenme Alanı | |
2 | 120 | FULL TIME |
TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 5 QF-EHEA:Short Cycle TR-NQF-HE, ISCED (1997-2013): 48,52 |
Course Code: | 2000002015 | ||||||||||
Ders İsmi: | Data Analysıs | ||||||||||
Ders Yarıyılı: |
Spring |
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Ders Kredileri: |
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Language of instruction: | TR | ||||||||||
Ders Koşulu: | |||||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||||
Other Recommended Topics for the Course: | |||||||||||
Type of course: | Bölüm Seçmeli | ||||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||||
Course Coordinator : | Öğr.Gör. Esma TAYRAN | ||||||||||
Course Lecturer(s): | |||||||||||
Course Assistants: |
Course Objectives: | To perform statistical analysis and interpretation of data with the help of various package programs (MATLAB and Python) by teaching the basic concepts and methods of data analysis. |
Course Content: | Course Content Data structures, types and organization, determining the suitability of data for parametric and non-parametric methods and models, methods of reaching complete information about the population with data usage |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Introduction to Data Science: The current place of statistics | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
2) | Introduction to Statistics: Basic concepts, Data Collection and Sampling Methods | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
3) | Descriptive statistics: Frequency Distribution, Central Tendency and Measures of Variability | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
4) | Statistical Estimation and Hypothesis Testing | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
5) | Simple and Partial Correlation, Parametric Hypothesis Tests: T-Test and Z-Test | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
6) | Non-Parametric Hypothesis Tests: Chi-Square, Mann Whitney U | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
7) | SPSS and Python Applications | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
8) | Midterm | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
9) | Analysis of Variance (ANOVA) and Kruskal-Wallis Tests | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
10) | Simple/Multiple Linear Regression and Correlation Analysis | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
11) | Project 1: SPSS and Python Applications | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
12) | Factor Analysis | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
13) | Cluster Analysis | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
14) | Project 2: Introduction to Machine Learning: MATLAB and Python Applications | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
15) | Project Presentations | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
Course Notes / Textbooks: | Dersin yürütücüsü tarafından notlar paylaşılacaktır. |
References: | An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar Biostatistics with R, An Introduction to Statistics Through Biological Data, Babak Shahbaba |
Ders Öğrenme Kazanımları | 1 |
2 |
3 |
4 |
5 |
6 |
7 |
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Program Outcomes | |||||||
1) Having knowledge and skills in security algorithms for programming | |||||||
2) Ability to install and manage software required for end user security | |||||||
3) Having the ability to install and manage computer networks and use the network operating system | |||||||
4) Have basic database and web programming skills |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Having knowledge and skills in security algorithms for programming | 2 |
2) | Ability to install and manage software required for end user security | 2 |
3) | Having the ability to install and manage computer networks and use the network operating system | 2 |
4) | Have basic database and web programming skills | 2 |
Alan Çalışması | |
Anlatım | |
Bireysel çalışma ve ödevi | |
Course | |
Grup çalışması ve ödevi | |
Web Tabanlı Öğrenme |
Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
Sözlü sınav | |
Homework | |
Grup Projesi | |
Sunum |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 20 |
Midterms | 1 | % 40 |
Semester Final Exam | 1 | % 40 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 2 | 28 |
Study Hours Out of Class | 14 | 2 | 28 |
Midterms | 1 | 10 | 10 |
Final | 1 | 10 | 10 |
Total Workload | 76 |