GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL SOFTWARES I/İST-106
Course Title: STATISTICAL SOFTWARES I
Credits 3 ECTS 4
Semester 2 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  English
 -- NAME OF LECTURER(S)
  Prof. Dr. İhsan ALP
 -- WEB SITE(S) OF LECTURER(S)
  websitem.gazi.edu.tr/site/ihsanalp
 -- EMAIL(S) OF LECTURER(S)
  ihsanalp@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
General knowledge of statistical packages
Creating a data file information
Frequency tables, calculating information of measures of central tendency
Ability to explore of the data structure.
Graph drawing/editing skills
Learning of utility modules
Construct crosstabulation and interpretation
Learning data processing in the packages with commands
 -- MODE OF DELIVERY
  The mode of delivery is face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite
 -- 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  Create data file information
3. Week  Data Entry and Data Manipulation (Computing)
4. Week  Variable Definitions
5. Week  Labeling ,Weighting and File Splitting-Combining
6. Week  Selecting Observation
7. Week  Recoding
8. Week  Construction of Tables
9. Week  Central tendency, measures of dispersion
10. Week  Midterm
11. Week  Hypothesis testing
12. Week  Graph drawing, editing
13. Week  Contingency Tables
14. Week  Simple regression analysis and correlation analysis
15. Week  Data processing in the packages with commands
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
  Expression, answer-questions, presentation.
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 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
2
3
6
 Reading
5
3
15
 Searching in Internet and Library
5
3
15
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
2
3
6
 Final and Studying for Final
2
3
6
 Other
0
 TOTAL WORKLOAD: 
90
 TOTAL WORKLOAD / 25: 
3.6
 ECTS: 
4
 -- 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