INFORMATION TECHNOLOGIES (TURKISH, THESIS)
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
ISM5203	Statistical Data Analysis and Decision Making	Fall Spring	3	0	3	8

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	Turkish
Type of course:	Departmental Elective
Course Level:
Mode of Delivery:	Face to face
Course Coordinator :	Assoc. Prof. ETHEM ÇANAKOĞLU
Course Lecturer(s):	Prof. Dr. CENGİZ KAHRAMAN Assoc. Prof. YÜCEL BATU SALMAN
Recommended Optional Program Components:	N/A
Course Objectives:	This course provides the use of statistical and quantitative methods to examine and explore data. It aims to build and interpret models from this data for decision making in all functional areas.

Learning Outcomes

The students who have succeeded in this course;
Ability to make decisions with statistical methods, ability to collect meaningful data, ability to interpret data and transform it into information/knowledge

Course Content

Methods covered include: collecting data, summarizing and exploring data, hypothesis testing, confidence intervals, regression analysis.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction: Description of data
2)	Data collection
3)	Descriptive Statistics
4)	Confidence intervals
5)	Hypothesis testing
6)	Hypothesis testing
7)	Midterm
8)	Regression analysis
9)	Regression analysis
10)	ANOVA
11)	ANOVA
12)	SPSS
13)	Project presentations
14)	Project presentations

Sources

Course Notes / Textbooks:	Douglas C. Montgomery and George C. Runger. Applied Statistics and Probability for Engineers, John Wiley & Sons, 7th Edition.
References:	Statistics for Business: Decision Making and Analysis, Robert A. Stine, Dean Foster, Pearson, 2011, 0321123913

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 35
Midterms	1	% 25
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 25
PERCENTAGE OF FINAL WORK		% 75
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	2	28
Laboratory	14	2	28
Study Hours Out of Class	14	1	14
Project	1	30	30
Final	1	30	30
Total Workload			130

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Follows the scientific literature in the field of Information Technology, critically analyzes it, and effectively utilizes it in solving complex IT problems.
2)	Designs, plans, implements, and manages original projects related to the field of Information Technology.
3)	Conducts independent studies in the field of Information Technology, assumes scientific responsibility, and evaluates the findings with a critical perspective.
4)	Presents the outcomes of research and projects effectively in written, oral, and visual forms, in accordance with academic and professional standards.
5)	Conducts independent research on specialized topics within the field, develops innovative and original ideas, and translates this knowledge into practice and technology.
6)	Effectively applies advanced theoretical knowledge and practical skills specific to the field of Information Technology; analyzes and develops current software, hardware, and system solutions.
7)	Acts in accordance with professional, scientific, and ethical principles; takes responsibility by considering the societal, environmental, and ethical impacts of IT applications.