TR
11111

COURSE INTRODUCTION AND APPLICATION INFORMATION

dlm.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall
Prerequisites
None
Course Language
Course Type
Required
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • will be able to create and use graphs for categorical and numerical data, and to describe relationships between variables
  • will be able to use measures of central tendency, variation, and shape, and use population summary measures
  • will be able to use covariance and correlation to identify relationships between numerical variables
  • will be able to assess outcomes and events in a probability experiment, apply basic rules of probability
  • will be able to apply the concept of statistical independence and use Bayes' Theorem
  • will be able to use mean and standard deviation for discrete and continuous random variables
  • will be able to use and apply some special probability distributions, and the normal approximation to the binomial distribution
  • will be able to use and apply linear combinations of random variables
Course Description

 



Course Category

 Core Courses
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Decision making in an uncertain environment. Describing data and summarizing descriptive relationships. Classification of variables. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
2 Graphs to describe categorical variables. Graphs to describe timeseries data. Graphs to describe numerical variables. Data presentation errors. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
3 Measures of central tendency and location. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
4 Measures of variability. Measures of relationships between variables. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
5 Random experiment, outcomes, events. Probability and its postulates. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
6 Probability rules. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
7 Bivariate probabilities. Bayes' Theorem. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
8 Random variables. Probability distributions for discrete random variables. Properties of discrete random variables. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
9 Binomial distribution. Poisson distribution. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
10 Hypergeometric distribution. Jointly distributed discrete random variables. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
11 Linear functions of random variables. Portfolio analysis. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
12 Continuous random variables. Expectations for continuous random variables. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
13 The Normal distribution. Normal distribution approximation. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
14 The exponential distribution. Jointly distributed continuous random variables. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
15 Financial Applications. Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. - Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley &Sons, Inc.
16 Review of the Semester  
Course Notes/Textbooks

Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill.
Suggested Readings/Materials Essentials of Contemporary Business statistics by T.A. Williams, D.J. Sweeney, D.R. Anderson,2007, Thomson

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
4
20
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
35
Final Exam
1
45
Total

Weighting of Semester Activities on the Final Grade
5
55
Weighting of End-of-Semester Activities on the Final Grade
1
45
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
2
Field Work
Quizzes / Studio Critiques
3
5
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
2
20
Final Exams
1
25
    Total
158

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
 Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Be able to analyze complex problems and bring a multidimensional perspective to problems by creating a synthesis of ideas with the practical education they are taking in the field of logistics and supply chain and realize the improvable areas by the help of their independent thinking abilities and have the ability to provide opportunities with innovative processes X
2

Know the sector well by working in projects together with industry partners to solve real life problems and to support social responsibility activities and be able to identify and solve the problems with the help of their experience in project management and teamwork 

 X
3 Be able to find creative solutions to the problems they face in the academic or professional areas while considering the goals and the constraints in logistics and supply chain operations with the help of their interdisciplinary education X
4

Be able to take place in the sector related communications networks, follow up the changes and improve themselves accordingly when necessary in order to keep their personal and professional competencies within their business sector

 X
5

Have information about the sector related market leaders, professional organizations and their positions in the sector
6 Be able to use the current and widely used software, information and communication technologies in the fields of logistics management and supply chain and identify the strengths and weaknesses of these
7 Be able to prevent the problems that may evoke from communication issues of the groups they take part in by taking proactive decisions
8 Be able to foresee the unexpected problems and uncertainties in the processes and manage these with flexible, effective and quick solutions;
9 Have the necessary skills to understand the coordination mechanisms and undertake part in the integration between the departments and members of the supply chain;
10 Be able to analyze the logistics and supply chain management processes using management science perspective and analytical approaches, analyze relevant concepts and ideas with scientific methods, interpret and evaluate the data
11 Be able to use the theoretical methods related to design, planning and decisionmaking within the scope of logistics activities in the application areas
12 Be able to interpret and evaluate the classical and contemporary theories in the field of logistics and supply chain considering the developments, changes and trends in the sector
13 To be able to speak a second foreign at a medium level of fluency efficiently X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

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