Türkçe English Rapor to Course Content
COURSE SYLLABUS
QUANTITATIVE DATA ANALYSIS
1 Course Title: QUANTITATIVE DATA ANALYSIS
2 Course Code: EKO2206
3 Type of Course: Optional
4 Level of Course: First Cycle
5 Year of Study: 2
6 Semester: 4
7 ECTS Credits Allocated: 5
8 Theoretical (hour/week): 3
9 Practice (hour/week) : 0
10 Laboratory (hour/week) : 0
11 Prerequisites: No Prequisites
12 Recommended optional programme components: None
13 Language: Turkish
14 Mode of Delivery: Face to face
15 Course Coordinator: Prof. Dr. AYŞE OĞUZLAR
16 Course Lecturers:
17 Contactinformation of the Course Coordinator: ayseog@uludag.edu.tr
224 29 41103
Bursa Uludağ Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü,16059, Görükle/Bursa
18 Website:
19 Objective of the Course: The students will collect data from studies and data to transfer skills and knowledge required to implement the appropriate solution technique.
20 Contribution of the Course to Professional Development Statistical methods and techniques of education is to give the students can apply to their fields.
21 Learning Outcomes:
1 To be able to having the ability to collect data;
2 To be able to the data to apply the appropriate solution techniques;
3 To be able to creating and testing hypotheses related to these studies to be capable of making.;
4 To be able to the nominal and ordinal relationships between the variables measured at the level of measurement and apply to have the ability to put forward.;
5 To be able to having the ability to test the suitability of the theoretical distributions of variables.;
6 To be able to degree studies to reveal the relationships between variables, which will be held.;
7 To be able to studies do have the ability to reveal patterns among the variables of functional;
8 To be able to aplications and evaluation of the survey will be able to;
22 Course Content:
Week Theoretical Practical
1 Data, Data Types, Scales.
2 Aplications of graphics by using SPSS and MINITAB
3 Aplications of Descriptive statistics by SPSS and MINITAB.
4 Data Genaration by using MINITAB.
5 Normality Analysis and aplications by using SPSS
6 One Way and Two Way Anova , Aplications by using SPSS.
7 Parametric Hypothesis Tests.
8 Aplications of Parametric Hypothesis by using PSS and MINITAB
9 Nonparametric Hypothesis Tests
10 Aplications of NonParametric Hypothesis Tests by using SPSS and MINITAB
11 Simple and Multiple regression
12 Aplications of Simple and Multiple Regression by using SPSS and MINITAB
13 Survey Evaluation
14 Aplications of Survey Evaluation by using SPSS and MINITAB
23 Textbooks, References and/or Other Materials: 1-İstatistiksel Veri Analizi 1, Ayşe Oğuzlar
24 Assesment
TERM LEARNING ACTIVITIES NUMBER PERCENT
Midterm Exam 1 40
Quiz 0 0
Homeworks, Performances 0 0
Final Exam 1 60
Total 2 100
Contribution of Term (Year) Learning Activities to Success Grade 40
Contribution of Final Exam to Success Grade 60
Total 100
Measurement and Evaluation Techniques Used in the Course Written questions
Information This course is evaluated with a relative evaluation system.
25 ECTS / WORK LOAD TABLE
Activites NUMBER TIME [Hour] Total WorkLoad [Hour]
Theoretical 14 3 42
Practicals/Labs 0 0 0
Self Study and Preparation 14 2 28
Homeworks, Performances 0 20 40
Projects 1 15 15
Field Studies 0 0 0
Midtermexams 1 10 10
Others 0 0 0
Final Exams 1 15 15
Total WorkLoad 160
Total workload/ 30 hr 5
ECTS Credit of the Course 5
26 CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10
LO1 2 1 3 3 2 3 3 2 2 4
LO2 3 1 4 3 2 3 3 2 2 4
LO3 3 3 4 4 3 3 4 3 3 3
LO4 4 4 3 3 3 3 4 4 4 4
LO5 4 3 4 4 4 4 4 4 4 4
LO6 3 3 4 4 3 4 4 4 5 5
LO7 4 3 4 4 3 4 4 4 4 4
LO8 4 4 4 4 4 4 4 4 4 4
LO: Learning Objectives PQ: Program Qualifications
Contribution Level: 1 Very Low 2 Low 3 Medium 4 High 5 Very High
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