Curricular information is subject to change.
Upon successful completion of the course, a student will have the ability to perform linear regression; to formally test statistical hypotheses and to evaluate empirical economic research. In addition, he/she will have an appreciation of the strength and weaknesses of econometrics and its use in the evaluation of competing economic theories and alternative policies.
| Student Effort Type | Hours |
|---|---|
| Lectures | 22 |
| Tutorial | 10 |
| Autonomous Student Learning | 150 |
| Total | 182 |
Not applicable to this module.
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Assignment(Including Essay): This assignment will require students to analyse particular datasets & answer a number of questions based on the results. Students may work in groups of up to three (3) people. | Week 7 | Alternative linear conversion grade scale 40% | No | 30 |
No |
| Exam (In-person): Final exam | End of trimester Duration: 2 hr(s) |
Alternative linear conversion grade scale 40% | No | 70 |
No |
| Resit In | Terminal Exam |
|---|---|
| Autumn | Yes - 2 Hour |
• Group/class feedback, post-assessment
After the assignment, I will provide group feedback in lecture and I will provide an answer key so that students can compare their answers to the correct answers.