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IEF 304 - Islamic Economic Analysis

Faculty of Business and Management Sciences · Islamic Economics and Finance · Undergraduate

ECTS: 5 T+P+L: 3+0+0 Departmental Elective
Coordinator: Dr. Öğr. Üyesi Safa YILDIRAN

Course Objective

The course aims at providing the students with statistical tools needed for economic analysis in the context of Islamic economics and finance. The course emphasizes understanding the process associated with statistical decisions, defining and formulating problems, analyzing the data, and using the results in decision making.

By the end of the course, the students should be able to (i) demonstrate understanding of statistical thinking and data analysis techniques for decision-making under uncertainty; (ii) apply statistical techniques to data sets, (iii) correctly interpret the results, and (iv) analyze and apply computer-generated statistical outputs to solve problems.

Course Content

Topics include descriptive statistics, random variables, probability distributions, estimations, hypothesis testing, correlation analysis, and regression. Microsoft Excel is used to assist in the analysis throughout the course.

Course Learning Outcomes

  1. analyze and apply computer-generated statistical outputs to solve problems.
  2. demonstrate understanding of statistical thinking and data analysis techniques for decision-making under uncertainty
  3. apply statistical techniques to data sets
  4. correctly interpret the results

Core Area Distribution

(34) Business and Administration%35 (46) Mathematics and Statistics%35 (48) Computing%30

Teaching Methods

ExpressionQuestion-AnswerExercise and PracticeSelf studyProblem Solving

Assessment & Evaluation

HomeworkPerformance Assignment ( Lab / Workshop / Field Work / Seminar / Presentation / Completion Study / ThesisTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)

ECTS / Workload

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)16348
Out of Class Study Period16464
Midterm122
Quiz111
Assignment000
Practice155
Final155

Course Schedule

WeekSubjectPreparation
1Introduction to the course and to the softwareW. (Ch. 10)
2Basic regression analysis with time-series dataW. (Ch.10)
3Basic regression analysis with time-series dataW. (Ch.10)
4Further issues in using OLS with time-series dataW. (Ch.11)
5Quiz 1 and EViews Application
6Further issues in using OLS with time-series dataW. (Ch.11)
7EViews Application
8Midterm
9Serial Correlation in Time Series RegressionW. (Ch.12)
10Serial Correlation in Time Series RegressionW. (Ch.12)
11Pooling cross section across timeW. (Ch.13)
12Quiz 2 and EViews Application
13Advanced time series topicsW. (Ch.18)
14Advanced time series topicsW. (Ch.18)
15EViews Application
16Final