Course Name Code Semester T+U Hours Credit ECTS
Stastistics EKO 204 4 4 + 0 4 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Prof.Dr. MUSTAFA AKAL
Course Lecturers Prof.Dr. MUSTAFA AKAL,
Course Assistants Research Assistants
Course Category Available Basic Education in the Field
Course Objective 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.
Course Content 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.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Recognizing the importance of Statistics for economists. , , , ,
2 Making the data collection and classification , , , ,
3 Classifing series , , , ,
4 Calculating dispositional descriptive statistics for the series , , , , , ,
5 Recognizing differences between descriptive statistics , , , , , , ,
6 Knowing and applying to where and why use to describe statistics , , , , , ,
7 calculating indexes , , , , , , ,
8 Knowing the uses of indices , , , , ,
9 Recognizing and interpreeting the real world uses of indexes , , , , , , , ,
10 Recognizing series and the probability distributions , , , , , , , ,
11 Calculating probability of events , , , , , , ,
12 Recognizing the uses of probability divisions , , , ,
13 Calculating probability of events , , , , , , ,
14 Recognizing joint distributions , , , , , ,
15 Presenting the relationship between joint distributions , , , , , , ,
Week Course Topics Preliminary Preparation
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
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The students are gained the ability to look at the problems of daily life from a broader perspective. They gain the needed skills not only to understand the economic problems but also to construct a model and defend in meaningful way.
2 They have knowledge about the microeconomic theory.
3 They have knowledge about the macroeconomic theory.
4 They have knowledge about the international economic theory.
5 They have ability to use mathematical and statistical methods.
6 They have ability to utilize fundamental econometric theories to provide economic problems.
7 They are intended to be expert in one of non departmental fields that they choose from the list of marketing, management, human resources management, corporate finance, public administration, and tourism management.
8 They are intended to be expert in one of departmental fields that they choose from the list of public finance, agricultural, environmental, natural resources, labor economics, economics of industrial organization, economics of property rights, international finance, money and banking, economic growth and development.
9 They have necessary knowledge of law and related skills that needed in both public and private sector.
10 They have necessary accountancy skills that needed in both public and private sector.
11 They have written and oral communication skills in a foreign language as well as in their native language.
12 They know how to use computer programs in both daily office usage and statistical data evaluations.
Evaluation System
Semester Studies Contribution Rate
2. Ödev 90
1. Ödev 10
Total 100
1. Final 50
1. Yıl İçinin Başarıya 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
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
Total Workload 130
Total Workload / 25 (Hours) 5.2
dersAKTSKredisi 5