Mersin Üniversitesi
Ders Bilgileri
| STATISTICS I | ||||||
|---|---|---|---|---|---|---|
| Kodu | Dönemi | Teori | Uygulama | Ulusal Kredisi | AKTS Kredisi | |
| Saat / Hafta | ||||||
| İBY215 | Fall | 3 | 0 | 3 | 6 | |
| Ön Koşulu Olan Ders( ler ) | None |
| Dili | en |
| Türü | Required |
| Seviyesi | Bachelor's |
| Öğretim Elemanı( ları ) | Öğr. Gör. Vedia Bennu GİLAN |
| Öğretim Sistemi | Face to Face |
| Önerilen Hususlar | None |
| Staj Durumu | None |
| Amacı | The aim of the course is to provide the fundamental concepts of probability and Statistics with applications of business and economic problems.The course illustrates many examples of common statistical methods for students who would like to focus on information intensive fields. |
| İçeriği | Permutation, combination, probability, probability distributions and expectations, discrete and continuous random variables, sampling distributions. |
Dersin Öğrenim Çıktıları
| # | Öğrenim Çıktıları |
|---|---|
| 1 | Describes data types and identifies relationships between them |
| 2 | Describes categorical and numerical variables and defines the relationships between them |
| 3 | Recognizes measures of central tendency and variability to define and explain the relationships between variables |
| 4 | Recognizes the results, events, permutations and combinations, probability, subjective probability, probability rules, conditional probability, the two variables can explain such concepts as possibilities. |
| 5 | Interprets discrete and continuous random variables, the characteristics, probability distributions and expectations |
| 6 | Applies the binomial distribution |
| 7 | Applies the geometric and poisson distriıbution |
| 8 | Applies a normal distribution |
Haftalık Ayrıntılı Ders İçeriği
| # | Konular | Öğretim Yöntem ve Teknikleri |
|---|---|---|
| 1 | The concept of probability and counting techniques | Lectures, discussion |
| 2 | Permutation and combination | Examples, exercises and solutions |
| 3 | Probability and principles | Lectures, discussion |
| 4 | Conditional-unconditional probability | Sample questions |
| 5 | Discrete random variables | Examples, exercises and solutions |
| 6 | Continuous random variables | Examples, exercises and solutions |
| 7 | Probability distributions | Examples, exercises and solutions |
| 8 | Midterm Exam | Written examination |
| 9 | Expected value and variance | Examples, exercises and solutions |
| 10 | Binomial distribution | Examples, exercises and solutions |
| 11 | Poisson distribution | Examples, exercises and solutions |
| 12 | Geometric distribution | Examples, exercises and solutions |
| 13 | Normal distribution | Sample questions |
| 14 | Normal distribution | Examples, exercises and solutions |
| 15 | Review | Exercises and solutions |
| 16 | Final Exam | Written examination |
Resources
| # | Malzeme / Kaynak Adı | Kaynak Hakkında Bilgi | Referans / Önerilen Kaynak |
|---|---|---|---|
| 1 | Olasılık Schaum’s Outlines, Çeviri:H.Kutluk Özgün, Nabel Yayn Dağıtımı | ||
| 2 | İstatistiğe Giriş, Vasfi Nadir TEKİN Seçkin yayınları |
Ölçme ve Değerlendirme Sistemi
| # | Ağırlık | Çalışma Türü | Çalışma Adı |
|---|---|---|---|
| 1 | 0.4 | 1 | 1. Mid-Term Exam |
| 2 | 0.6 | 5 | Final Exam |
Dersin Öğrenim Çıktıları ve Program Yeterlilikleri ile İlişkileri
| # | Öğrenim Çıktıları | Program Çıktıları | Ölçme ve Değerlendirme |
|---|---|---|---|
| 1 | Describes data types and identifies relationships between them | 3͵7͵8 | 1͵2 |
| 2 | Describes categorical and numerical variables and defines the relationships between them | 3͵6͵7 | 1͵2 |
| 3 | Recognizes measures of central tendency and variability to define and explain the relationships between variables | 6͵7 | 1͵2 |
| 4 | Recognizes the results, events, permutations and combinations, probability, subjective probability, probability rules, conditional probability, the two variables can explain such concepts as possibilities. | 3͵6͵7 | 1͵2 |
| 5 | Interprets discrete and continuous random variables, the characteristics, probability distributions and expectations | 5͵7͵8 | 1͵2 |
| 6 | Applies the binomial distribution | 7͵8 | 1͵2 |
| 7 | Applies the geometric and poisson distriıbution | 7͵8 | 1͵2 |
| 8 | Applies a normal distribution | 7͵8 | 1͵2 |
Not: Ölçme ve Değerlendirme sütununda belirtilen sayılar, bir üstte bulunan Ölçme ve Değerlerndirme Sistemi başlıklı tabloda belirtilen çalışmaları işaret etmektedir.
İş Yükü Detayları
| # | Etkinlik | Adet | Süre (Saat) | İş Yükü |
|---|---|---|---|---|
| 0 | Course Duration | 14 | 3 | 42 |
| 1 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 4 | 56 |
| 2 | Presentation and Seminar Preparation | 0 | 0 | 0 |
| 3 | Web Research, Library and Archival Work | 0 | 0 | 0 |
| 4 | Document/Information Listing | 0 | 0 | 0 |
| 5 | Workshop | 0 | 0 | 0 |
| 6 | Preparation for Midterm Exam | 1 | 40 | 40 |
| 7 | Midterm Exam | 1 | 1 | 1 |
| 8 | Quiz | 0 | 0 | 0 |
| 9 | Homework | 0 | 0 | 0 |
| 10 | Midterm Project | 0 | 0 | 0 |
| 11 | Midterm Exercise | 0 | 0 | 0 |
| 12 | Final Project | 0 | 0 | 0 |
| 13 | Final Exercise | 0 | 0 | 0 |
| 14 | Preparation for Final Exam | 1 | 40 | 40 |
| 15 | Final Exam | 1 | 1 | 1 |
| 180 | ||||