| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | SOS207B | Introduction to Statistics | Compulsory | 2 | 3 | 6 |
|
| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| The objective of this course is to familiarize students with basic concepts and tools of statistical methodology |
| Name of Lecturer(s) |
| Doç. Dr. Mesut ÖZTÜRK |
| Learning Outcomes |
| 1 | Have knowledge of the fundamental tools of statistics | | 2 | Have knowledge of Probability | | 3 | Have knowledge of Statistical series, distribution function and measures of central tendency | | 4 | Be able to realize statistical analysis |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| Introduction to Statistics
Statistical series
Graphs to describe numerical variables
Measures of central tendency
Measures of variability
Probability and its postulates
Probability Rules
Bayes theorem
Random variables, mathematical expectation, variance and standard deviation
Discrete and continuous random variables and probability distributions
Hypergeometric distribution, Binomial distribution
The poisson probability distribution, the normal distribution
Analyse of variance
Analyse of Regression |
| Weekly Detailed Course Contents |
|
| 1 | Introduction to Statistics
| | | | 2 | Statistical series | | | | 3 | Graphs to describe numerical variables | | | | 4 | Measures of central tendency | | | | 5 | Measures of variability | | | | 6 | Probability and its postulates | | | | 7 | Probability Rules | | | | 8 | exam
| | | | 9 | Bayes theorem | | | | 10 | Random variables, mathematical expectation, variance and standard deviation | | | | 11 | Discrete and continuous random variables and probability distributions
| | | | 12 | Hypergeometric distribution, Binomial distribution
| | | | 13 | The poisson probability distribution, the normal distribution
| | | | 14 | Analyse of variance
| | | | 15 | Analyse of Regression | | | | 16 | final | | |
|
| Recommended or Required Reading |
| Çil, B. 2008. İstatistik, Detay Yayıncılık, 6. Baskı
Güler, F. 2007. Temel İstatistik, Beta Basım Yayım Dağıtım, 1. Baskı
Karasar,N. 1999.Bilimsel Araştırma Yöntemi, nobel yay.,.
Yılmaz, B. 2006. İstatistik, Nobel Yayın Dağıtım
Şenesen, Ü. 2007. İstatistik Sayıların Arkasını Anlamak, Literatür Yayınları, 3. Baskı |
| Planned Learning Activities and Teaching Methods |
|
| 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 | | | Work Placement(s) | | None |
|
| Workload Calculation |
|
| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 2 | 2 |
| Attending Lectures | 14 | 3 | 42 |
| Self Study | 14 | 6 | 84 |
| Individual Study for Mid term Examination | 7 | 2 | 14 |
| Individual Study for Final Examination | 14 | 3 | 42 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 4 | 3 | 1 | 3 | 4 | 3 | 2 | 1 | 4 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | LO2 | 4 | 2 | 1 | 1 | 4 | 3 | 2 | 1 | 4 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | LO3 | 3 | 2 | 1 | 1 | 5 | 2 | 2 | 1 | 5 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | LO4 | 3 | 2 | 1 | 1 | 5 | 2 | 2 | 2 | 5 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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