| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | İSL2032013221 | STATISTICS I | Compulsory | 2 | 3 | 4 |
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| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| The aim of the course is
to develop the ability of the students to assist in decision making by collecting, describing, and organizing quantitive data
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| Name of Lecturer(s) |
| Yrd. Doç. Dr. Oğuz Tümtürk |
| Learning Outcomes |
| 1 | collect and list data | | 2 | calculate descriptive measures. | | 3 | calculate probability. | | 4 | use probability distributions. | | 5 | Şartlı olasılık hesaplar |
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| Mode of Delivery |
| Evening Education |
| Prerequisites and co-requisities |
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| Recommended Optional Programme Components |
| Week 1 Basic terms of statistic and levels of measurement.
Week 2 Organizing data and statistic distibutions.
Week 3 Graphical presentation of distributions
Week 4 Means: Arithmetic mean, Weighted mean, Geometric mean and Harmonic mean.
Week 5 Means: median and mode
Week 6 Quintiles
Week 7 İndices: Laspeyres and Paasche Price İndices
Week 8 Mid-term Exam
Week 9 Measures of deviations
Week 10 Measures of deviations
Week 11 Probability: Calculating probability and conditional probability
Week 12 Probability: rule of addition, rule of multiplication, tree diyagram, Bayes' theorem
Week 13 Probability Distribution: binomial and poisson probability distribution
Week 14 Probability Distribution: normal distribution
Week 15 Probability Distribution: normal distribution
Week 16 Final Exam
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| Course Contents |
| Basic terms of statistic and levels of measurement
Organizing data and statistic distibutions
Graphical presentation of distributions
Means: Arithmetic mean, Weighted mean, Geometric mean and Harmonic mean
Means: median and mode, quantiles
İndices: Laspeyres and Paasche Price İndices
Measures of deviations
Probability.
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| Weekly Detailed Course Contents |
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| 1 | Basic terms of statistics
| | | | 2 | Basics of Set Teory | | | | 3 | Counting Techniques | | | | 4 | Basics of Probability Theory | | | | 5 | Conditional Probability and Independence | | | | 6 | Random Variables | | | | 7 | Continous and Discrete Random Variables | | | | 8 | Mid-term Exam | | | | 9 | Discrete Random Variables and Frequency Distributions | | | | 10 | Moments | | | | 11 | Discrete Distributions: Bernoulli Experiment and Bernoulli Process | | | | 12 | Discrete Distributions:Binomial and Geometric Distributions | | | | 13 | Discrete Distributions: Poisson Distribution and Approximation of Binomial Distribution | | | | 14 | Continous Random Variables and Frequency Distributions | | | | 15 | Continous Distributions: Normal Distribution and Normal Approximation to the Binomial | | | | 16 | Final Exam | | |
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| Recommended or Required Reading |
| SERPER, Ö. 2004;Uygulamalı İstatistik-I, Ezgi Kitapevi, Bursa |
| 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) | |
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| Workload Calculation |
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| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 1 | 1 |
| Attending Lectures | 14 | 3 | 42 |
| Self Study | 14 | 3 | 42 |
| Individual Study for Mid term Examination | 1 | 10 | 10 |
| Individual Study for Final Examination | 1 | 10 | 10 |
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| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 4 | 3 | 4 | 3 | 3 | 3 | 4 | 4 | 3 | 3 | 3 | 3 | 2 | 3 | | LO2 | 3 | 3 | 3 | 3 | 3 | 4 | 3 | 4 | 3 | 3 | 4 | 3 | 3 | 3 | | LO3 | 3 | 3 | 3 | 3 | 3 | 4 | 3 | 3 | 3 | 3 | 4 | 3 | 3 | 3 | | LO4 | 4 | 3 | 4 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 4 | 3 | 3 | 3 | | LO5 | 3 | 4 | 3 | 4 | 3 | 3 | 3 | 4 | 3 | 4 | 3 | 4 | 3 | 3 |
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| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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