| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | IMO3052013331 | STATISTICS AND PROBABILITY I | Compulsory | 3 | 5 | 4 |
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| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| To find probability of an event with understanding of a sample space. To give an understanding of a random variable and find probability of a normal random variable by using standard normal table. |
| Name of Lecturer(s) |
| Yrd.Doç.Dr. Tolga AKTÜRK |
| Learning Outcomes |
| 1 | Student expresses and applies concept of probability and probability axioms. | | 2 | He solves problems related permutation, combinations, ordered and unordered partitions, Binom Theorem. | | 3 | He solves problems related conditional probability, independent events, Bayes Theorem. | | 4 | He applies and interprets measures of central tendency and tests of hypostesis. |
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| Mode of Delivery |
| Formal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| Basic concepts, frequency distributions. Histogram and frequency polygon. Categorical data and applications to be displayed in the chart. Parametric Measures of central tendency. Parametric distribution measurements. Skewness and kurtosis. Basic concepts of probability theory. Addition and multiplication rule, Bayes' theorem. Probability distribution table, the expected value and applications. Probability distribution table, the expected value and applications. Basic concepts of discrete and continuous probability distributions. Binomial, Poisson and hyper-geometric distribution and applied studies. |
| Weekly Detailed Course Contents |
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| 1 | Basic concepts, frequency distributions. | | | | 2 | Histogram and frequency polygon. | | | | 3 | Categorical data and applications to be displayed in the chart. | | | | 4 | Parametric Measures of central tendency. | | | | 5 | Parametric distribution measurements. | | | | 6 | Skewness and kurtosis. | | | | 7 | Basic concepts of probability theory. | | | | 8 | Addition and multiplication rule, Bayes' theorem. | | | | 9 | Mid-term exam | | | | 10 | Probability distribution table, the expected value and applications. | | | | 11 | Probability distribution table, the expected value and applications. | | | | 12 | Basic concepts of discrete and continuous probability distributions. | | | | 13 | Basic concepts of discrete and continuous probability distributions. | | | | 14 | Binomial, Poisson and hyper-geometric distribution and applied studies. | | | | 15 | Final Exam | | |
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| Recommended or Required Reading |
| [1]Teori ve problemlerle İstatistik – Schaum’s Outline Series
[2]Olasılık Doç.Dr.Cevdet Cerit
[3]Olasılık Prof. Dr. İmdat Kara
[4]Olasılık ve istatistiğe Giriş – Prof.Dr. Nuri Ersoy Doç.Dr.Semra Oral Erbaş
[5]http://www.die.gov.tr
[6]http://www.worldbank.org
[7]http://www.unesco.org
[8] Olasılık ve İstatistik, Prof.Dr.Fikri Akdeniz |
| Planned Learning Activities and Teaching Methods |
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| Assessment Methods and Criteria | |
| SUM | 0 | |
| SUM | 0 | | Yarıyıl (Yıl) İçi Etkinlikleri | 40 | | Yarıyıl (Yıl) Sonu Etkinlikleri | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
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| Workload Calculation |
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| Final Examination | 1 | 5 | 5 |
| Attending Lectures | 14 | 5 | 70 |
| Tutorial | 10 | 5 | 50 |
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| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | | LO2 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | | LO3 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | | LO4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
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| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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