Course Details

STATISTICS I

ECON205

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Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
3ECON205STATISTICS I3+0+035

Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program ECONOMICS
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course Introducing the role of statistics in research and economics.
Improving students’ skills in data gathering and analysis. Introducing interpretations of statistical results.
Providing background and foundational knowledge to support further studies in economic and econometric applications.
Course Content Course is designed as an introduction to basics of data science. It is aimed to underline the importance of data analysis and to examine basic methods of data analysis and interpretation, basic probability concepts, random variables and their real-life applications. In addition, discrete and continuous random variables such as Bernoulli, binomial, Poisson, normal and standard normal random variables are examined. Concepts including displaying and describing data, the normal distribution, probability, statistical inference, confidence intervals, and hypothesis tests with their real-life applications are discussed. Students are also directed to analyze small data sets using computer methods.
Course Methods and Techniques Lecture, discussion, question & answer, demonstration, drill-practice.
Prerequisites and co-requisities None
Course Coordinator Prof.Dr. Eyüp DOĞAN eyup.dogan@agu.edu.tr
Name of Lecturers Prof.Dr. Eyüp DOĞAN eyup.dogan@agu.edu.tr
Assistants Research Assist. Gülcan Doğanay gulcan.doganay@agu.edu.tr
Work Placement(s) No

Recommended or Required Reading
Resources
To be announced.
It is calculated out of 100.
.


Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Quiz/Küçük Sınav 6 % 60
Final examination 1 % 40
Total
7
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Sınıf İçi Aktivitesi 14 3 42
Okuma 1 10 10
Araştırma 1 10 10
Kişisel Çalışma 14 3 42
Der Dışı Final Sınavı 1 20 20
Ders Dışı Ara Sınav 1 10 10
Total Work Load   Number of ECTS Credits 4,5 134

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Summarize descriptive statistics.
2 Use statistical software to analyze the topics which will be discussed during the course.
3 Explain point estimates for unknown parameters of distributions.
4 Calculate confidence intervals for unknown parameters of distributions.
5 Analyze hypothesis testing with one or two samples.


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Describing Data: Graphical
2 Describing Data: Summarizing Data
3 Describing Data: Numerical
4 Descriptive Statistics
5 Introduction to Probability Theory
6 Probability
7 Midterm Exam
8 Discrete Random Variables
9 Probability Distributions
10 Probability Distributions
11 Continuous Random Variables and Probability Distributions
12 Continuous Random Variables and Probability Distributions
13 Sampling and Sampling Distributions
14 Introduction to Hypothesis Testing


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
C1 1 1 5 2 1 2
C2 1 2 5 2 1 2
C3 1 2 5 2 1 2
C4 1 2 5 2 1 2
C5 1 2 5 2 1 2

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=70481&lang=en
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