Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
STASTISTICS EKO 204 4 4 + 0 4 5
 Dersin Dili Türkçe Dersin Seviyesi Lisans Dersin Türü ZORUNLU Dersin Koordinatörü Prof.Dr. MUSTAFA AKAL Dersi Verenler Dersin Yardımcıları Research Assistants Dersin Kategorisi Alanına Uygun Temel Öğretim Dersin Amacı This course aims to provide statistical tools in analysing data and helps students to understand what lies behind the numbers and helps students to develop their cabability in data mining and intrperations of them. Dersin İçeriği This course includes methods for data analysis, the theory and techniques examining numerical data,calculation of indexes, calculating probabilities and probability distributions and their aplications to economics, business and management areas.
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - Recognizing the importance of Statistics for economists. 3 - 12 - A - C - 2 - Making the data collection and classification 1 - 14 - A - C - 3 - Classifing series 1 - 14 - A - C - 4 - Calculating dispositional descriptive statistics for the series 1 - 2 - 12 - 14 - A - C - 5 - Recognizing differences between descriptive statistics 1 - 3 - 4 - 12 - 14 - A - C - 6 - Knowing and applying to where and why use to describe statistics 1 - 2 - 3 - 15 - A - C - 7 - calculating indexes 1 - 3 - 12 - 14 - 15 - A - C - 8 - Knowing the uses of indices 1 - 12 - 14 - A - C - 9 - Recognizing and interpreeting the real world uses of indexes 1 - 2 - 4 - 12 - 14 - 15 - A - C - 10 - Recognizing series and the probability distributions 1 - 2 - 3 - 12 - 14 - 15 - A - C - 11 - Calculating probability of events 1 - 2 - 10 - 14 - 15 - A - C - 12 - Recognizing the uses of probability divisions 1 - 15 - A - C - 13 - Calculating probability of events 1 - 2 - 3 - 14 - 15 - A - C - 14 - Recognizing joint distributions 1 - 3 - 14 - 15 - A - C - 15 - Presenting the relationship between joint distributions 1 - 2 - 3 - 14 - 15 - A - C -
 Öğretim Yöntemleri: 1:Lecture 14:Self Study 2:Question-Answer 12:Case Study 3:Discussion 4:Drilland Practice 15:Problem Solving 10:Brain Storming Ölçme Yöntemleri: A:Testing C:Homework

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 Importance of Statistics, data sources, principle terms, data design, graphing, tabling
2 Descriptive statistics, analytical means, moments
3 Non analytical descriptive statistics
4 Variations and types of disturbances
5 Concentration ratio, skewness, curtosis measueremnts
6 calculation time and cross section indexes and interpretations
7 Simple and combined indexes
8 calculation of weighted indexes and interpretations
9 Midterm examination
10 Probability and disturbution
11 Probability and disturbution, continuing
12 Binom and hypergeometric disturbances
13 Poission distribution
14 Joint disturbances

Ders Notu
Ders Kaynakları

#### Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 70
KisaSinav 1 10
Odev 1 10
KisaSinav 2 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

#### AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 12 12
Quiz 2 4 8
Assignment 1 2 2
Final examination 1 12 12
Toplam İş Yükü 130
Toplam İş Yükü /25(s) 5.2
Dersin AKTS Kredisi 5.2
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