Undergraduate
Faculty of Economic and Administrative Sciences
International Trade
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International Trade Main Page / Program Curriculum / Probability and Statistic II

Probability and Statistic II

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
UTC4003 4 Probability and Statistic II 2/2/0 CC Turkish 5
Course Goals
Decision making in social sciences is aimed at interpreting and summarizing data (with graphical tools), estimating economic data using statistical methods, interpreting past data and associating it with economic/trade policies.
Prerequisite(s) -
Corequisite(s) -
Special Requisite(s) -
Instructor(s) Assoc. Prof. NEBİLE KORUCU GÜMÜŞOĞLU, Arş.Gör. Çağıl Kaya
Course Assistant(s)
Schedule Tuesday 11:00-12:50/ Wednesday 11:00-12:50
Office Hour(s) Monday11:00-12:00 / Wednesday 10:00-11:00 / Office: B-K7-7 / B-K8-1
Teaching Methods and Techniques -Lecture, Computer lab. Excel Applications, Quiz and Homework.
Principle Sources -Translation from Paul Newbold 4th Edition, Ümit Şenesen. (2000). Statistics for Business and Economics, Literature Publications.
  Ümit Şenesen, Statistics, Understanding Behind the Numbers, Literature Publications.
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Confidence interval concept and applications oral presentation
2. Week Confidence interval concept and applications oral presentation
3. Week Hypothesis testing Oral presentation
4. Week Hypothesis testing applications in trading Oral presentation,
5. Week Correlation analysis, correlation analysis using Excel Oral presentation, Laboratory
6. Week Regression analysis, Examination of simple regression models Oral presentation,
7. Week Model applications Oral presentation,
8. Week Regression analysis using Excel Oral presentation, Laboratory
9. Week Predictions, tests Oral presentation, Laboratory
10. Week Estimate confidence intervals, distribution of errors Oral presentation, Laboratory
11. Week Multiple regression models Oral presentation
12. Week Model implementations and dummy variables Oral presentation
13. Week Analyzing using Excel Laboratory
14. Week Nonlinear regression models Oral presentation
15. Week Definition of index, index series, calculation of indexes Oral presentation
16. Week Examination of index types, index types in Turkey Oral presentation
17. Week Final Final
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 35
Quizzes 1 10
Attendance 1 5
Final Exam 1 50


Program Outcomes
PO-1OP-1. Comprehends both theoretical and applied subjects in international trade at the advanced level, and uses his/her knowledge when necessary.
PO-2OP-2. Analyses basic concepts and data related to International Trade and Economics by scientific methods, interprets those with analytically, and evaluates those with regard to economic issues.
PO-3OP-3. Express his/her thoughts, comments and evaluations related to International Trade discipline both in written and oral forms.
PO-4OP-4. Defines current problems, and proposes solutions which are supported by evidence and research based quantitative and qualitative data.
PO-5OP-5. Inspects how public and private sector enterprises engaged in trade activities operates in practice, and evaluates the continuities and the dynamism in these sectors.
PO-6OP-6. Defines and tracks local, regional (such as European Union or Middle East) and global issues from the point of political economics, and relates these issues to each other.
PO-7OP-7. Possesses sufficient knowledge in other disciplines related to International Trade (such as Economics, Finance, International Business and Law), and reports this information.
PO-8OP-8. Follows publications and research in International Trade, Globalisation and Financial Systems in the English language, and communicates with his/her colleagues internationally.
PO-9OP-9. Uses a second language (Russian, Chinese, etc.) at the intermediate level.
PO-10OP-10. Possesses ethical principles and scientific values in collection, interpretation and release of data.
Learning Outcomes
LO-1The purpose of the course is to introduce students to the basic ideas and methods of regression model.
LO-2Model applications and excel
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10
LO 1
LO 2