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 |
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Course Language | English | ||||||||
Course Type | Required | ||||||||
Course Level | First Cycle | ||||||||
Mode of Delivery | - | ||||||||
Teaching Methods and Techniques of the Course | Lecturing / 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;
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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 Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Describing data: graphical | Newbold P., Carlson W.L., Thorne B., “Describing data: graphical”, chap 1 Statistics for Business and Economics, 9th edition (United States of America: Pearson, 2019), 2-38. |
2 | Describing data: numerical | Newbold P., Carlson W.L., Thorne B., “Describing data: numerical”, chap 2 Statistics for Business and Economics, 9th edition (United States of America: Pearson, 2019), 39-72. |
3 | Probability | Newbold P., Carlson W.L., Thorne B., “Probability”, chap 3 Statistics for Business and Economics, 9th edition (United States of America: Pearson, 2019), 73-125. |
4 | Probability | Newbold P., Carlson W.L., Thorne B., “Probability”, chap 3 in Statistics for Business and Economics, 9th edition (United States of America: Pearson, 2019), 73-125. |
5 | Midterm-1 | |
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, 9th edition (United States of America: Pearson, 2019), 126-176. |
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, 9th edition (United States of America: Pearson, 2019), 177-223. |
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, 9th edition (United States of America: Pearson, 2019), 224-263. |
9 | 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, 9th edition (United States of America: Pearson, 2019), 224-263. |
10 | Midterm-2 | |
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, 9th edition (United States of America: Pearson, 2019), 308-325. |
12 | Hypothesis Testing: Single Population Mean and Single Population Proportion | Newbold P., Carlson W.L., Thorne B., “Describing data: graphical”, chap 9 Statistics for Business and Economics, 9th edition (United States of America: Pearson, 2019), 326-364. |
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, 9th edition (United States of America: Pearson, 2019), 365-396. |
14 | Semester review | |
15 | Semester review | |
16 | Final exam |
Course Notes/Textbooks | Newbold P., Carlson W.L., Thorne B., Statistics for Business and Economics, 9th edition (Pearson, 2019), ISBN-13:978-1292315034 |
Suggested Readings/Materials | Lind D., Marchal S., Statistical Techniques in Business & Economics, 17th edition (McGraw-Hill, 2017), ISBN-13: 978-1259666360 |
Semester Activities | Number | Weigthing |
Participation | ||
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | 2 | 20 |
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exam | ||
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 |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 2 | 32 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | 2 | |
Study Hours Out of Class | 14 | 2 | 28 |
Field Work | |||
Quizzes / Studio Critiques | 2 | 10 | |
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | |||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 28 | |
Final Exams | 1 | 40 | |
Total | 180 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To be able to acquire a sound knowledge of fundamental concepts, theories, principles and methods of investigation specific to the economic field. | |||||
2 | To be able to apply adequate mathematical, econometric, statistical and data analysis models to process economic data and to implement scientific research for development of economic policies. | |||||
3 | To be able to participate in academic, professional, regional, and global networks and to utilize these networks efficiently. | |||||
4 | To be able to have adequate social responsibility with regards to the needs of the society and to organize the activities to influence social dynamics in line with social goals. | |||||
5 | To be able to integrate the knowledge and training acquired during the university education with personal education and produce a synthesis of knowledge one requires. | |||||
6 | To be able to evaluate his/her advance level educational needs and do necessary planning to fulfill those needs through the acquired capability to think analytically and critically. | |||||
7 | To be able to acquire necessary skills to integrate social dynamics into economic process both as an input and an output. | |||||
8 | To be able to link accumulated knowledge acquired during the university education with historical and cultural qualities of the society and be able to convey it to different strata of society. | |||||
9 | To be able to take the responsibility as an individual and as a team member. | |||||
10 | To be able to attain social, scientific and ethical values at the data collection, interpretation and dissemination stages of economic analysis. | |||||
11 | To be able to collect data in economics 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 economics. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest