ISM5203 Statistical Data Analysis and Decision MakingBahçeşehir UniversityDegree Programs INTERIOR DESIGN (TURKISH, THESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
INTERIOR DESIGN (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 : Dr. Öğr. Üyesi ETHEM ÇANAKOĞLU
Course Lecturer(s): Prof. Dr. CENGİZ KAHRAMAN
Dr. Öğr. Üyesi 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) Referring to the qualifications gained in the bachelors programs of Interior Architecture and Environmental Design, Architecture and Industrial Product Design Departments, developing and deepen the these qualifications and knowledge and to follow and built up new theories.
2) Building, researching, analysing and evaluating the results of a problem and relating results with real life situations and practice independently.
3) Knowing scientific research methods and being able to use them in building, researching, analysing and evaluating the results of his/her own study.
4) Comprehending and embracing interdisciplinary design studies and using the knowledge, information and ability of analysis in the various studies in the program
5) Relating and unifiying Interior Design with the knowledge from various disciplines and producing new knowledge and theories.
6) Having a critical perspective in evaluating design studies in general, in Interior Design specifically
7) Reseaching, analysing and evaluating spatial relations and their social dimensions with a critical point of view, and producing new theories.
8) Following the developments in the field of Interior Design and making new and up-to-date researches
9) Being able to communicate his/her own studies with groups within and/or out of the field.
10) Embracing and using the social, scientific and ethic values in the stages of data collection, interpretation and sharing of a study.
11) Being able to follow related literature and developments, and to communicate his/her own stuies written or verbally in at least in one foreign language.