| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | 210300404103 | PROBABILITY AND STATISTICS - II | Compulsory | 2 | 4 | 5 |
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| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| This course is an introduction to probability and statistics. It aims to collect, order, summarize and interpret the data which is related to the subject. In addition it aims to model the data by using various probabilistic calculations. |
| Name of Lecturer(s) |
| Doç. Dr. Alkan ÖZKAN |
| Learning Outcomes |
| 1 | Having the knowledge about the scope, applications, history, problems, and methodology of mathematics that are useful to humanity both as a scientific and as an intellectual discipline. | | 2 | Communicating between mathematics and other disciplines, and building mathematical models for interdisciplinary problems. | | 3 | Ability to work in interdisciplinary research teams effectively. | | 4 | The student will be able to comprehend the basic concepts of probability theory and will be able to use them in solving appropriate problems in any field. |
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| Mode of Delivery |
| Daytime Class |
| Prerequisites and co-requisities |
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| Recommended Optional Programme Components |
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| Course Contents |
| Introduction to Probability
Probability theories and calculations
Conditional Probability and Bayes Theorem
Random Variables
Probability Density Functions
Some Discrete Probability Distributions: Bernouilli, Binomial, Geometric
Continuous Random Variables
Some Continuous Probability Distributions, Midterm Exam.
General statistical theories, data, population, sample
Data collection, Frequency Tables, Graphs
Summarizing the data, Measures of Central Tendency
Measures of Variation: Variance, Standard Deviation
Relationships between variables: Covariance and Correlation
Regression Analysis and Interpretation |
| Weekly Detailed Course Contents |
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| 1 | Introduction to Probability | | | | 2 | Basics of Probability | | | | 3 | Conditional Probability, Bayes Theorem | | | | 4 | Random Variables, Discrete Random Variables | | | | 5 | Discrete Distributions | | | | 6 | Special Discrete Distributions: Bernoulli Experiment, Binomial Distribution, Hypergeometric Distribution | | | | 7 | Continuous Random Variables | | | | 8 | Special Continuous Distributions, Midterm Exam. | | | | 9 | Basic statistical concepts, data, population, sampling | | | | 10 | Data collecting, Frequency Tables, Graphs | | | | 11 | Data summarizing, Describing Data with Averages | | | | 12 | Describing variability: range, variance, standard deviation | | | | 13 | Relationships: Covariance and Correlation | | | | 14 | Regression Analysis, Interpretation | | |
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| Recommended or Required Reading |
| Akdeniz Fikri, Olasılık ve İstatistik, Akademisyen Kitabevi |
| Planned Learning Activities and Teaching Methods |
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| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | |
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| Workload Calculation |
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| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 3 | 3 |
| Attending Lectures | 1 | 14 | 14 |
| Problem Solving | 1 | 14 | 14 |
| Discussion | 1 | 14 | 14 |
| Question-Answer | 1 | 14 | 14 |
| Brain Storming | 1 | 14 | 14 |
| Individual Study for Final Examination | 1 | 42 | 42 |
| Homework | 1 | 30 | 30 |
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| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 5 | 5 | 4 | 4 | 4 | 5 | 4 | 5 | 5 | 5 | | LO2 | 5 | 5 | 5 | 5 | 5 | 4 | 4 | 4 | 5 | 5 | | LO3 | 4 | 5 | 5 | 4 | 4 | 4 | 4 | 5 | 4 | 4 | | LO4 | 5 | 5 | 4 | 4 | 4 | 5 | 5 | 4 | 5 | 5 |
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| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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