GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL SOFTWARES II/İST-427
Course Title: STATISTICAL SOFTWARES II
Credits 3 ECTS 5
Semester 7 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  English
 -- NAME OF LECTURER(S)
  Assoc. Prof. Dr. H. Hasan ÖRKCÜ
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/hhorkcu
 -- EMAIL(S) OF LECTURER(S)
  hhorkcu@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
General knowledge of statistical packages
Ability of calculating basic measure of statistics
Ability to apply hypothesis tests.
Ability to apply regression analysis
Ability to apply experimental design analysis
Ability to apply time series analysis
Ability to multivariate statistics
Ability to categorical data analysis

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  The mode of delivery of this course is Face to face
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Overview of statistical package programs
2. Week  Ability of calculating basic measure of statistics
3. Week  Ability to apply hypothesis tests
4. Week  Ability to apply hypothesis tests
5. Week  Ability to apply regression analysis
6. Week  Ability to apply regression analysis
7. Week  Ability to apply experimental design analysis
8. Week  Midterm exam
9. Week  Ability to apply experimental design analysis
10. Week  Ability to apply time series analysis
11. Week  Ability to apply time series analysis
12. Week  Ability to apply multivariate statistics analysis
13. Week  Ability to apply multivariate statistics analysis
14. Week  Ability to apply multivariate statistics analysis
15. Week  Ability to apply categorical data analysis
16. Week  Final exam
 -- RECOMMENDED OR REQUIRED READING
  1. SPSS, 2005, SPSS 11.0 for Windows (Student Version). 2. Field A., 2005, Discovering Statistics Using SPSS for Windows : Advanced Techniques
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  Application
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
4
10
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
10
3
30
 Searching in Internet and Library
10
3
30
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
5
5
 Final and Studying for Final
2
10
20
 Other
0
 TOTAL WORKLOAD: 
127
 TOTAL WORKLOAD / 25: 
5.08
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X