SUPPLY CHAIN AND LOGISTICS MANAGEMENT (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 3 0 3 8
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: Tr
Type of course: Must Course
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
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 Outputs

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: 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
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project 1 % 35
Seminar % 0
Midterms 1 % 25
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
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
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 1 14
Presentations / Seminar 0 0 0
Project 1 30 30
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 0 0 0
Paper Submission 0 0 0
Jury 0 0 0
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) Based on Bachelor level(First Cycle) qualifications, to develop and deepen knowledge to the proficiency level in the field of Supply Chain and Logistics Management. 1
2) To define and implement knowledge with scientific methods by using vague, limited or incomplete data; to use combination of interdisciplinary knowledge. 5
3) To design and implement analytic, model and experiment based research in the field of Supply Chain and Logistics Management, to analyze and interpret complex situations faced related to the field. 5
4) To identify and formulate Supply Chain and Logistics Management problems, to develop methods for the solutions, to implement innovative ways in the solutions. 5
5) To work effectively disciplinary and multi-disciplinary teams, to lead this teams and to develop solution approaches in complex situations, to work individually and to take responsibility. 2
6) To evaluate, interpret and implement knowledge and skills acquired at proficiency level in Supply Chain and Logistics Management field with a critical approach. 3
7) To provide individuality and contribution to the studies of Supply Chain and Logistics Management field. 3
8) To communicate current developments and studies, within the field or in other fields to both national and international groups, systematically and clearly using written and oral techniques. 4
9) To be able to use advanced information technology and communication technology with software knowledge to input and analyze data related with Supply Chain and Logistics Management. 5
10) To audit the data gathering, interpretation, implementation and announcement stages in the Supply Chain and Logistics Management field by taking into consideration the cultural, scientific, and ethic values and to teach these values. 5
11) To have effective and efficient management capabilities 3