Course Name Code Semester T+U Hours Credit ECTS
Statistical Application In Computer SNF 504 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi GÜLDEN KAYA UYANIK
Course Lecturers Dr.Öğr.Üyesi GÜLDEN KAYA UYANIK,
Course Assistants
Course Category
Course Objective Aim of this lesson is to explain concepts about data and statistics, to analyze validity and reliability and to analyze them appropriate to research method and data.
Course Content Scientific research and the importance of technology, purpose in scientific researches and scientific research types, determination of research problem and preparation of draft plan, usage of library in the literature review process, writing formal scientific research reports, the role of Internet in performing scientific research, collecting data and analysis of the data, error and the statistical analysis.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Explain basic concepts about data and statistics. Lecture, Question-Answer, Testing, Homework,
2 Choose statistical analysis appropriate to research method. Lecture, Drilland Practice, Motivations to Show, Brain Storming, Testing, Homework,
3 Explain types of statistical analysis and hypothesis. Lecture, Drilland Practice, Motivations to Show, Testing, Homework,
4 Analyze according to research method and data. Self Study, Testing, Homework,
5 Interpretations of analysis results. Motivations to Show, Project Based Learning, Testing, Project / Design,
6 Do certifications appropriate to research method and statistical analysis. Self Study, Project Based Learning, Testing, Project / Design,
Week Course Topics Preliminary Preparation
1 Place and importance of statistics
2 Basic concepts about data and statistics
3 Dispersion statistics
4 Dispersion statistics
5 Conjectural statistics
6 Parametric statistics I
7 Parametric statistics II
8 Parametric statistics III
9 Nonparametric statistics I
10 Nonparametric statistics II
11 Nonparametric statistics III
12 Correlation
13 Things that should be careful in, interpretation and certification
14 Evaluation of student gainings and general sevaluation of lesson
Course Notes
Course Resources
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 50
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 2 10 20
Assignment 2 10 20
Performance Task (Application) 1 10 10
Total Workload 156
Total Workload / 25 (Hours) 6.24
dersAKTSKredisi 6