GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL PROGRAMMING/İST-422
Course Title: STATISTICAL PROGRAMMING
Credits 3 ECTS 5
Semester 8 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Fikri Gökpınar
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/fikri
 -- EMAIL(S) OF LECTURER(S)
  fikri@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learns Basic and Advanced properties of MATLAB and R
Learns the functional structure at MATLAB and R
Learns statistical toolbox of MATLAB and R
Learns Statistical Coding using MATLAB and R





 -- MODE OF DELIVERY
  The mode of delivery is face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Windows and main Screen of MATLAB and R
2. Week   Properties of Editor window of MATLAB and R
3. Week   Introduction to Coding with MATLAB and R
4. Week   Introduction to Coding with MATLAB and R
5. Week   Using and Creating function using MATLAB and R
6. Week   Using and Creating function using MATLAB and R
7. Week   Coding hypothesis tests for single and two groups in MATLAB and R
8. Week   Midterm Exam
9. Week   Coding hypothesis tests for k groups in MATLAB and R
10. Week   Coding nonparametric methods in MATLAB and R
11. Week   Data Generating algorithms in MATLAB and R
12. Week   Simulation in MATLAB and R
13. Week   Simulation in MATLAB and R
14. Week   Obtaining the type one error rates and power in MATLAB and R
15. Week   Obtaining the type one error rates and power in MATLAB and R
16. Week   Final Exam
 -- RECOMMENDED OR REQUIRED READING
  J.E. Gentle, 2009, Statistical Computing, Springer. Goyal M., 2007, Computer Based Numerical and statistical Techniques, Infinity Science Press. Martinez W.L. and Martinez A,R.,2007, Computational Statistics Handbook with MATLAB, Chapman and Hall
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
   Lecture, Question & Answer, Drill-Practice
 -- 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
6
2
12
 Reading
0
 Searching in Internet and Library
0
 Designing and Applying Materials
0
 Preparing Reports
10
3
30
 Preparing Presentation
2
5
10
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
10
10
 Final and Studying for Final
1
10
10
 Other
0
 TOTAL WORKLOAD: 
114
 TOTAL WORKLOAD / 25: 
4.56
 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