COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Introduction to Probability and Statistics II
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MATH 212
Fall/Spring
3
0
3
5
Prerequisites
 MATH 211To attend the classes (To enrol for the course and get a grade other than NA or W)
Course Language
English
Course Type
Service Course
Course Level
First Cycle
Mode of Delivery Online
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives The aim of this course is to learn the basic concepts of probability and statistics to make applications in various fields such as business and economics. This course includes basic statistical methods in which data is available and in all areas requiring data analysis. Especially for students who want to specialize in areas where data analysis and results need to be interpreted, basic statistical methods and applications are presented.
Learning Outcomes The students who succeeded in this course;
  • will be able to compute confidence intervals for the mean of one and two populations that are normally distributed when the population variance is known and population variance is unknown.
  • will be able to compute hypotesis tests for the mean of a population or between two populations that are normally distributed when the population variance is known and population variance is unknown.
  • will be able to identify the dependent and the independent variables of the given data.
  • will be able to test whether the given variables are related depending on the number of independent variables.
  • will be able to apply simple or multiple linear regression analysis.
Course Description Sampling distributions; Confidence interval estimation; One and two populations; Hypothesis tests of one and two populations; Simple and multiple regression analysis
Related Sustainable Development Goals

 



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 Introduction to Statistics and Data Analysis and Business Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 1, pages 21-37
2 Introduction to Statistics and Data Analysis and Business Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 1, pages 37-50
3 Fundamental Sampling Distributions and Data Descriptions Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 8, pages 245-261
4 Fundamental Sampling Distributions and Data Descriptions Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 8, pages 263-282
5 One- and Two-Sample Estimation Problems Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 9, pages 285-302
6 One- and Two-Sample Estimation Problems Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 9, pages 305-320
7 One- and Two-Sample Estimation Problems Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 9, pages 320-327
8 One- and Two-Sample Tests of Hypotheses Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 10, pages 339-362
9 One- and Two-Sample Tests of Hypotheses Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 10, pages 362-385
10 Midterm
11 One- and Two-Sample Tests of Hypotheses Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 10, pages 386-393
12 One- and Two-Sample Tests of Hypotheses Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 10, pages 393-396
13 Two-Sample Excel CaseStudy Walpole R.E., Myers R. H., Myers S. L, Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365 Chapter 10, pages 399
14 Semester Review
15 Semester Review
16 Final Exam
Course Notes/Textbooks

Walpole R.E., Myers R. H., Myers S. L,Ye K., Probability&Statistics for Engineers and Scientists, 9th Edition. ISBN13: 9781292161365

Suggested Readings/Materials

Ross S., A First Course in Probability, Pearson Education.
"Statistics for Engineers and Scientists" by William Navidi, McGraw-Hill Education, 4th Edition, 2014.

ISBN-13: 978-0073401331

 

EVALUATION SYSTEM

Semester Activities Number Weighting
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
-
-
Portfolio
Homework / Assignments
1
20
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
3
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
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
14
3
42
Field Work
Quizzes / Studio Critiques
-
-
Portfolio
Homework / Assignments
1
20
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
15
Final Exams
1
25
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to analyze complex problems in the field of logistics and supply chains

2

To be able to have good knowledge of sector related market leaders, professional organizations, and contemporary developments in the logistics sector and supply chains

3

To be able to participate in the sector-related communication networks and improve professional competencies within the business sector

4

To be able to use necessary software, information and communication technologies in the fields of logistics management and supply chain

5

To be able to understand and utilize the coordination mechanisms and supply chain integration

6

To be able to analyze the logistics and supply chain processes using the management science perspective and analytical approaches

7

To be able to design, plan and model in order to contribute to decision making within the scope of logistics and supply chains

8

To be able to interpret and evaluate the classical and contemporary theories in the field of logistics and supply chains

9

To be able to conduct projects and participate in teamwork in the field of logistics and supply chains

10

To be able to have an ethical perspective and social responsiveness when making and evaluating decisions.

11

To be able to collect data in the area of logistics and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1).

12

To be able to speak a second foreign at a medium level of fluency efficiently.

13

To be able to relate the knowledge accumulated throughout human history to their field of expertise.

X

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