Erciyes University - Info Package

Course unit title	Level of course unit	Course unit code	Type of course unit	Semester of course unit	Local credit	ECTS credit	Syllabus
STATISTICAL PACKAGE PROGRAMS II	First cycle	VZT 669		1	6.00	6.00	Print

Description of course unit

Prerequisites and course requisities	There is no prerequisite
Language of instruction	Türkish
Coordinator	Dr. Aytaç AKÇAY
Lecturer(s)	Dr. Aytaç AKÇAY
Teaching assitant(s)	-
Mode of delivery	Theoretic and practical
Course objective	Being able to use different statistical software, to learn differences between these programs. Introduction, properties and use of different statistical software (STATA, SPSS, STATISTICA, SAS and etc.).
Course description	Methods of making statistical computations on different statistical programs are taken into consideration. General logic, basic properties, algorithms and superiorities of different programs are examined on different problems practically.

Course contents

1	General properties of statistical software programs (STATA, SPSS, STATISTICA, and etc.)
2	Data entry and management on statistical software programs
3	Data import and export among different programs
4	Descriptive statistics and comparison of different statistical software
5	Editing output file and other files on statistical software
6	Practice
7	Drawing and editing graphics on different statistical software programs
8	Hypothesis tests (parametric) on different statistical software programs
9	Practice
10	Hypothesis tests (non-parametric) on different statistical software programs
11	Practice
12	Multivariate analysis on different statistical software
13	Practice
14	Multivariate analysis on different statistical software
15	Practice
16	Practice and Discussion
17
18
19
20

Learning outcomes of the course unit

1	Statistical software package is very good to use
2	Statistical software package is very good to use
3	Statistical software package is very good to use
4	Statistical software package is very good to use
5	Statistical software package is very good to use
6
7
8
9
10

*Contribution level of the course unit to the key learning outcomes

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
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45
Number of stars refer to level of contribution from 1 (the least) to 5 (the most)

Planned learning activities, teaching methods and ECTS work load

	Quantity	Time (hour)	Quantity*Time (hour)
Lectures (face to face teaching)	16	4	64
Study hours out of classroom (study before and after the class)	8	2	16
Homework	8	2	16
Presentation / seminar	0	0	0
Quiz	0	0	0
Preparation for midterm exams	1	20	20
Midterm exams	1	4	4
Project (term paper)	0	0	0
Laboratuar	0	0	0
Field study	0	0	0
Preparation for final exam	1	10	10
Final exam	1	4	4
Research	1	10	10
Total work load			144
ECTS			6.00

Assessment methods and criteria

Evaluation during semester	Quantity	Percentage
Midterm exam	1	40
Quiz	0	0
Homework	0	0
Semester total		40
Contribution ratio of evaluation during semester to success		40
Contribution ratio of final exam to success		60
General total		100

Recommended and required reading

Textbook	Biostatistical Analysis: Pearson New International Edition
Additional references	Biostatistical Analysis: Pearson New International Edition

Files related to the course unit