# GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL PROGRAMMING/İST4022
 Course Title: STATISTICAL PROGRAMMING Credits 3 ECTS 4 Course Semester 8 Type of The Course Elective
COURSE INFORMATION
-- (CATALOG CONTENT)
-- (TEXTBOOK)
-- (SUPPLEMENTARY TEXTBOOK)
-- (PREREQUISITES AND CO-REQUISITES)
-- LANGUAGE OF INSTRUCTION
Turkish
-- COURSE OBJECTIVES
-- COURSE LEARNING OUTCOMES
Learn the basic and advanced properties of MATLAB
Learn the functional structure of MATLAB
Learns MATLAB's statistical toolbox
Learns Statistical Coding using MATLAB

-- MODE OF DELIVERY
The mode of delivery is face to face
 --WEEKLY SCHEDULE 1. Week Windows and main Screen of MATLAB 2. Week Properties of Editor window of MATLAB 3. Week Introduction to Coding with MATLAB 4. Week Introduction to Coding with MATLAB 5. Week Using and Creating function using MATLAB 6. Week Using and Creating function using MATLAB 7. Week Coding hypothesis tests for single and two groups in MATLAB 8. Week Coding hypothesis tests for k groups in MATLAB, Midterm Exam 9. Week Coding nonparametric methods in MATLAB 10. Week Data Generating algorithms in MATLAB 11. Week Simulation in MATLAB 12. Week Simulation in MATLAB 13. Week Obtaining the type one error rates and power in MATLAB 14. Week Obtaining the type one error rates and power in MATLAB 15. Week Final Exam 16. Week
-- TEACHING and LEARNING METHODS
-- ASSESSMENT CRITERIA
 Quantity Total Weighting (%) Midterm Exams 1 40 Assignment 0 0 Application 0 0 Projects 0 0 Practice 0 0 Quiz 0 0 Percent of In-term Studies 40 Percentage of Final Exam to Total Score 60
 Activity Total Number of Weeks Duration (weekly hour) Total Period Work Load Weekly Theoretical Course Hours 14 3 42 Weekly Tutorial Hours 0 Reading Tasks 0 Searching in Internet and Library 5 1 5 Material Design and Implementation 0 Report Preparing 7 3 21 Preparing a Presentation 2 5 10 Presentation 1 3 3 Midterm Exam and Preperation for Midterm Exam 4 2 8 Final Exam and Preperation for Final Exam 4 3 12 Other (should be emphasized) 0 TOTAL WORKLOAD: 101 TOTAL WORKLOAD / 25: 4.04 Course Credit (ECTS): 4
-- COURSE'S CONTRIBUTION TO PROGRAM
 NO PROGRAM LEARNING OUTCOMES 1 2 3 4 5 1 1. 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 2 2. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets. X 3 3. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs. X 4 4. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems. X 5 5. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field. X 6 6. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member. X 7 7. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes. X 8 8. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues. X 9 9. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values. X 10 10. A statistician must have the ability to social sensitivity and socialization. X 11 11. During the process of inference, a statistician uses time efficiently with the analytical thinking ability. X
-- NAME OF LECTURER(S)
(Prof. Dr. Fikri GÖKPINAR)
-- WEB SITE(S) OF LECTURER(S)
(http://www.websitem.gazi.edu.tr/site/fikri)
-- EMAIL(S) OF LECTURER(S)
(fikri@gazi.edu.tr)