Course Name Code Semester T+U Hours Credit ECTS
Data Analysis IME 502 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 ERCAN MASAL
Course Lecturers Dr.Öğr.Üyesi ERCAN MASAL,
Course Assistants Res.Asst.Mithat TAKUNYACI
Course Category General Training
Course Objective With the help of computer programs to analyze research data
Course Content Basic concepts related to statistics, central tendency and gradient, correlation and regression, hypothesis testing, the use of stastical in research
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Describes the basic concepts of statistic course. Lecture, Question-Answer, Testing, Homework, Performance Task,
2 Orginizes the data collected, classifies, makes entry to SPSS Progam. Lecture, Question-Answer, Drilland Practice, Testing, Homework, Performance Task,
3 Percentage, frequency, central tendency and calculates dimensions of change. Lecture, Question-Answer, Drilland Practice, Testing, Homework, Performance Task,
4 Reviews the relationship between two variebles by calculating the correlation coefficient. Lecture, Question-Answer, Drilland Practice, Testing, Homework, Performance Task,
5 Known the value of a varieble by using a regression analysis to estimate the value of the variebles as a result of other comments.. Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework, Performance Task,
6 Counts the number of steps of one hypothesis used to test the hypothesis test. Lecture, Question-Answer, Drilland Practice, Testing, Homework, Performance Task,
Week Course Topics Preliminary Preparation
1 Basic concepts
2 Data describing and graphical representations
3 Measures of central tendency (arithmetic average, mod, median)
4 Dimensions of change (ranj, standart deviation, variance)
5 Correlation
6 Regression
7 The steps of hypothesis testing
8 One sample t-test
9 MIDTERM
10 Independent sample t-test
11 Dependent sample t-test
12 Analysis of variance
13 Covariance analysis for experimental design
14 General assessment
Resources
Course Notes
Course Resources
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 15
1. Ödev 20
2. Kısa Sınav 15
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Assignment 1 5 5
Final examination 1 10 10
Performance Task (Application) 2 10 20
Total Workload 157
Total Workload / 25 (Hours) 6.28
dersAKTSKredisi 6