ECTS - Probability and Statistics I
Probability and Statistics I (MATH291) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Probability and Statistics I | MATH291 | 3. Semester | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Service Courses Taken From Other Departments |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Question and Answer, Problem Solving. |
Course Lecturer(s) |
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Course Objectives | In addition to some tools for classification, summarization and making sense of data, to provide students with basic probability knowledge and certain probability distributions |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Basic definitions, tables and graphs, central tendency measures, central dispersion measures, probability concept, conditional probability, Bayesian approach, random variables, expected value, binomial and normal distributions. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Basic Definitions, Frequency Distributions | pp. 3-5 |
2 | Relative, Cumulative, Cumulative Relative Frequency Distributions, Graphs, Stem and Leaf Display | pp. 24-28 |
3 | Central Tendency Measures; Mean, Median and Mode for Unclassified and Classified Data | pp. 73-76 |
4 | Central Dispersion Measures; Variance, Standard Deviation, Coefficient of Variation, Chebyshev Theorem | pp. 93-100 |
5 | Probability Concept, Random Event-Experiment, Sample Space, | pp. 127-130 |
6 | Classical / Postrerior Probability Definitions , Rule of Counting; Permutation and Combination, Multiplication Rule | pp. 135-137 |
7 | Midterm Exam | |
8 | Venn Diagrams, Contingency Table, Conditional Probability | pp. 138-140 |
9 | Bayesian Approach, Statistical Indpendency | pp. 142-145 |
10 | Random Variables, Probability Function | pp. 147-150 |
11 | Expected Value and Its Properties, Mean and Standard Deviation | pp. 155-157 |
12 | Binomial Distribution | pp. 167-168 |
13 | Normal Distribution, Standard Normal Variable, Z table | pp. 182-185 |
14 | Problems on Normal Distribution and Vice-Verse Usage of Z table (Cut-off value ) | pp. 199-205 |
15 | Review | |
16 | Final Exam |
Sources
Course Book | 1. D.H. Sanders, R. K. Simidt, Statistics, A First Course, 1990 |
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Other Sources | 2. D.H. Sanders, R. K. Simidt, Statistics, A First Course, 1990 |
Evaluation System
Requirements | Number | Percentage of Grade |
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Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 2 | 10 |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 2 | 50 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 5 | 100 |
Percentage of Semester Work | 60 |
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Percentage of Final Work | 40 |
Total | 100 |
Course Category
Core Courses | |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Obtains the ability to identify, define, formulate, and solve problems in the field of aviation management, and to select and apply appropriate analytical and modeling techniques for this purpose. | X | ||||
2 | Acquires sufficient knowledge in Business Administration, Management, and Aviation Management, and obtains the ability to apply both theoretical and practical knowledge from these fields to identify and solve problems encountered in air transportation management. | X | ||||
3 | Acquires the ability to design a complex system or process related to aviation management in such a way that it meets specific requirements under realistic constraints and conditions; and acquires the ability to apply modern design methods for this purpose. Realistic constraints and conditions include factors such as economic considerations, environmental issues, sustainability, manufacturability, ethics, health, safety, and social and political factors, depending on the nature of the design. | |||||
4 | Acquires the ability to develop, select, and utilize modern techniques and tools required for applications in aviation management; and obtains the ability to effectively use information technologies. | |||||
5 | Acquires the ability to design experiments, conduct experiments, collect data, and analyze and interpret results for the investigation of problems in aviation management. | X | ||||
6 | The ability to work effectively in the disciplinary and multi-disciplinary teams; individual study skills. | |||||
7 | Gains the ability to communicate effectively in English, both orally and in writing; and possesses knowledge of at least one foreign language at a minimum of B1 General Level of the Common European Framework of Reference for Languages (CEFR), enabling them to follow developments in their field and share knowledge with others. | |||||
8 | Develops an awareness of the necessity of lifelong learning; and gains the ability to access information, follow developments in science and technology, and continuously improve oneself. | |||||
9 | Acquires knowledge about professional practices such as project management, risk management, and change management; and develops awareness of entrepreneurship, innovation, and sustainable development. | X | ||||
10 | Acquires knowledge about the universal and societal impacts of aviation management practices on health, environment, and safety, and develops awareness of the legal consequences of the practices to be implemented. | |||||
11 | Becomes aware of the impact of management practices and workplace operations in aviation management businesses on employees' health, the environment, and occupational safety, and develops awareness of the legal consequences of practices in these areas. | X | ||||
12 | Acquires an awareness of professional and ethical responsibility. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | |||
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 14 | 3 | 42 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | |||
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 2 | 10 | 20 |
Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
Total Workload | 77 |