Ders Bilgileri
STATISTICS I | ||||||
---|---|---|---|---|---|---|
Kodu | Dönemi | Teori | Uygulama | Ulusal Kredisi | AKTS Kredisi | |
Saat / Hafta | ||||||
ÇEK201 | Fall | 3 | 0 | 3 | 5 |
Ön Koşulu Olan Ders( ler ) | None |
Dili | en |
Türü | Required |
Seviyesi | Bachelor's |
Öğretim Elemanı( ları ) | Asst. Prof. Dr. Nurcan TEMİZ |
Öğretim Sistemi | Face to Face |
Önerilen Hususlar | None |
Staj Durumu | None |
Amacı | The aim of the course is to assure organization and management of data according to data type, calculation and interpretation of measures that summarize data by students and also assure calculation of mean and variance according to random variable types. |
İçeriği | Data concept, data type, scales, numerical measures of central tendency, numerical measures of dispersion, probability, random variable concept, calculation of mean and variance for discrete and continuous random variables. |
Dersin Öğrenim Çıktıları
# | Öğrenim Çıktıları |
---|---|
1 | Identify statistics and its application to daily life problems. |
2 | Organize quantitative and qualitative data, and recognize graphics type according to data type. |
3 | Calculate and interpret measures of central tendency. |
4 | Calculate and interpret measures of dispersion. |
5 | Define basic concepts of probability and calculate simple probability. |
6 | Calculate conditional probability and use Bayes’s Theorem. |
7 | Calculate mean and variance for discrete variables. |
8 | Calculate mean and variance for continuous variables. |
Haftalık Ayrıntılı Ders İçeriği
# | Konular | Öğretim Yöntem ve Teknikleri |
---|---|---|
1 | Basic concepts of statistics, descriptive and inferential statistics, concepts of population, sampling, parameter, and statistics, data concept and data type, scales types | Lecture, discussion |
2 | Frequency distribution, to set frequency table | Lecture, discussion |
3 | Graphic presentation of data. Graphics for qualitative data: Pie chart, bar graph, pareto diagram | Lecture, discussion |
4 | Graphics for quantitative data: Histograms | Lecture, discussion |
5 | Graphics for quantitative data: Stem and leaf, ogive, dot plot | Lecture, discussion |
6 | Measure of central tendency: arithmetic mean, geometric mean, harmonic mean, median, mode. | Lecture, discussion |
7 | Measure of dispersion: Range, variance, standard deviation, | Lecture, discussion |
8 | Mid-term Exam | Writting Exam |
9 | Set theory, set concept, applications on set, DeMorgan rule | Lecture, discussion |
10 | Introduction to probability, fundamentals of probability, sample space | Lecture, discussion |
11 | Basic concepts of probability, concepts of experiment and event, mutually exclusive events, independent events | Lecture, discussion |
12 | Conditional probability | Lecture, discussion |
13 | Bayes’s theorem | Lecture, discussion |
14 | Random variable concept, discrete variables, continuous variables, probability function, probability distribution of discrete variables, probability distributions of continuous variables | Lecture, discussion |
15 | Calculating mean and variance of discrete and continuous probability distributions | Lecture, discussion |
16 | Final Exam |
Resources
# | Malzeme / Kaynak Adı | Kaynak Hakkında Bilgi | Referans / Önerilen Kaynak |
---|---|---|---|
1 | İstatistiğe Giriş, Fikret İkiz, Halis Püskülcü, Şaban Eren, Fakülteler Kitabevi, 7. Baskı, İzmir 2006. | Textbook | Olasılık ve İstatisik, Fikri Akdeniz, Nobel Kitabevi, 15.Baskı, Adana 2010. |
2 | İstatistik, Burhan Çil, Detay Yayıncılık, 6.Baskı, Ankara 2008. |
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 | Identify statistics and its application to daily life problems. | 12͵14 | 1͵2 |
2 | Organize quantitative and qualitative data, and recognize graphics type according to data type. | 12͵14 | 1͵2 |
3 | Calculate and interpret measures of central tendency. | 12͵14 | 1͵2 |
4 | Calculate and interpret measures of dispersion. | 12͵14 | 1͵2 |
5 | Define basic concepts of probability and calculate simple probability. | 12͵14 | 1͵2 |
6 | Calculate conditional probability and use Bayes’s Theorem. | 12͵14 | 1͵2 |
7 | Calculate mean and variance for discrete variables. | 12͵14 | 1͵2 |
8 | Calculate mean and variance for continuous variables. | 12͵14 | 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 | 2 | 28 |
2 | Presentation and Seminar Preparation | 0 | 0 | 0 |
3 | Web Research, Library and Archival Work | 14 | 1 | 14 |
4 | Document/Information Listing | 0 | 0 | 0 |
5 | Workshop | 0 | 0 | 0 |
6 | Preparation for Midterm Exam | 1 | 14 | 14 |
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 | 20 | 20 |
15 | Final Exam | 1 | 1 | 1 |
120 |