TR
11111

COURSE INTRODUCTION AND APPLICATION INFORMATION

dba.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
X
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 To solve problems, to have analytical and holistic viewpoint and to develop strategic thinking as a principle in the field of business administration
2 To evaluate It is aimed to graduate students whom are able to critique what they have already learn in the field of management, adopting life long learning and continuously developing themselves
3 It is aimed to graduate students whom are able to transfer their academic knowledge to organizational level and capable of expressing themselves regarding organizational problems both oral and written
4 The students are required to understand the concepts and ideas of business in both national and multinational settings and practice cross disciplinary and comparative analysis
5 It is required to know and practice the quality and productivity principles of business life
6 Act and think with an innovative motive and able to apply the academic knowledge gain during new and unconventional occasions
7 Acquiring leadership qualifications and applying them successfully
8 Working efficiently and effectively, learning how to be a team member, taking responsibilities, being open minded, constructive, vulnerable to criticism and having self confidence
9 It is required to know the regional economic aspects and transfer the academic knowledge to real life with both national and international thinking
10 To know and apply the realities of business ethics and act according to social, scientific and ethical values under any circumstances such as data collection, evaluation, announcing and practicing
11 Able to use a foreign language as fluent as possible for both chasing the scientific publication and developing proper communication with colleagues from other countries, (“European Language Portfolio Global Scale”, Level B1)
12 Intermediate in both written and spoken of a second foreign language
13 Able to use computer programs and technology to an adequate level required by business practices.

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

 

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