FACULTY OF BUSINESS
Department of Logistics Management
SOCIAL MEDIA
MATH 280 | Course Introduction and Application Information
| Course Name |
Introduction to Probability and Statistics
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
MATH 280
|
Fall
|
2
|
2
|
3
|
6
|
| Prerequisites |
|
|||||||
| Course Language |
English
|
|||||||
| Course Type |
Required
|
|||||||
| Course Level |
First Cycle
|
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| Mode of Delivery | - | |||||||
| Teaching Methods and Techniques of the Course | Lecture / Presentation | |||||||
| Course Coordinator | ||||||||
| Course Lecturer(s) | ||||||||
| Assistant(s) | ||||||||
| Course Objectives | To provide the fundamental concepts of Probability and Statistics with applications of business and economic problems. Fundamental statistical methods and applications are presented especially for students who want to specialize in areas where data analysis and results need to be interpreted. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | This course investigate probability, discrete and continuous probability distributions. Also, provides constructing the sampling distributions, confidence interval estimation and Hypothesis tests of one and two populations. |
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Describing data: graphical | Newbold P., Carlson W.L., Thorne B., “Describing data: graphical”, chap 1 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 25-62. |
| 2 | Describing data: numerical | Newbold P., Carlson W.L., Thorne B., “Describing data: numerical”, chap 2 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 63-96. |
| 3 | Probability | Newbold P., Carlson W.L., Thorne B., “Probability”, chap 3 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 97-149. |
| 4 | Probability | Newbold P., Carlson W.L., Thorne B., “Probability”, chap 3 in Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 97-149. |
| 5 | Probability | Newbold P., Carlson W.L., Thorne B., “Probability”, chap 3 in Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 97-149. |
| 6 | Discrete Random Variable, Bernoulli and Binomial Probability Distributions, Jointly Distributed Discrete Random Variables | Newbold P., Carlson W.L., Thorne B., “Discrete random variables and Probability Distributions”, chap 4 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 150-200. |
| 7 | Continuous Random Variable, Normal Distribution, Jointly Distributed Continuous Random Variables | Newbold P., Carlson W.L., Thorne B., “Continuous random variables and Probability Distributions”, chap 5 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 201-247. |
| 8 | Sampling, Sampling Distribution of Sample Mean and Sampling Distribution of Sample Proportion | Newbold P., Carlson W.L., Thorne B., “Sampling and sampling distributions”, chap 6 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 248-287. |
| 9 | Midterm | |
| 10 | Estimation: Confidence Interval for Single Population Mean, Confidence Interval for Single Population Proportion and Determining Sample Size | Newbold P., Carlson W.L., Thorne B., “Estimation: single population”, chap 7 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 288-331. |
| 11 | Estimation: Confidence Interval for Two Population Means, Confidence Interval for Two Population Proportions | Newbold P., Carlson W.L., Thorne B., “Estimation: additional topics”, chap 8 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 332-349. |
| 12 | Hypothesis Testing: Single Population Mean and Single Population Proportion | Newbold P., Carlson W.L., Thorne B., “Hypothesis testing: single polulation”, chap 9 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 350-388. |
| 13 | Hypothesis Testing: Two Population Means and Two Population Proportions | Newbold P., Carlson W.L., Thorne B., “Hypothesis testing: additional topics”, chap 10 Statistics for Business and Economics, 10th edition (United States of America: Pearson, 2022), 389-420. |
| 14 | Semester Review | |
| 15 | Semester Review | |
| 16 | Final exam |
| Course Notes/Textbooks | Newbold P., Carlson W.L., Thorne B., Statistics for Business and Economics, 10th edition (Pearson, 2022), ISBN-13:978-1292436845 |
| Suggested Readings/Materials | Lind D., Marchal S., Statistical Techniques in Business & Economics, 17th edition (McGraw-Hill, 2017), ISBN-13: 978-1259666360 |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques |
2
|
20
|
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| Final Exam |
1
|
50
|
| Total |
| Weighting of Semester Activities on the Final Grade |
3
|
50
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
50
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
2
|
32
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
2
|
32
|
| Study Hours Out of Class |
14
|
2
|
28
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
2
|
10
|
20
|
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
0
|
||
| Project |
0
|
||
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
28
|
28
|
| Final Exam |
1
|
40
|
40
|
| Total |
180
|
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 |
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| 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 |
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| 3 | To be able to participate in the sector-related communication networks and improve professional competencies within the business sector |
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| 4 | To be able to use necessary software, information and communication technologies in the fields of logistics management and supply chain |
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| 5 | To be able to understand and utilize the coordination mechanisms and supply chain integration |
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| 6 | To be able to analyze the logistics and supply chain processes using the management science perspective and analytical approaches |
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| 7 | To be able to design, plan and model in order to contribute to decision making within the scope of logistics and supply chains |
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| 8 | To be able to interpret and evaluate the classical and contemporary theories in the field of logistics and supply chains |
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| 9 | To be able to conduct projects and participate in teamwork in the field of logistics and supply chains |
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| 10 | To be able to have an ethical perspective and social responsiveness when making and evaluating decisions. |
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| 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). |
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| 12 | To be able to speak a second foreign at a medium level of fluency efficiently. |
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| 13 | To be able to relate the knowledge accumulated throughout human history to their field of expertise. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
SOCIAL MEDIA
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