• Class Number 1218
  • Term Code 3020
  • Class Info
  • Unit Value 0 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Dr Larry Weifeng Liu
  • LECTURER
    • Quoc Anh Ho
  • Class Dates
  • Class Start Date 13/01/2020
  • Class End Date 21/02/2020
  • Census Date 14/02/2020
  • Last Date to Enrol 14/02/2020
SELT Survey Results

This course introduces fundamental mathematical techniques to be used in applied economics. It serves as a preparation for students who will continue to do Mathematical Methods in Applied Economics (IDEC8015) and Graduate Diploma Microeconomics (IDEC 8016). The course covers topics on linear algebra and calculus. It gives students a taste of applying mathematics in economic analysis. Students are encouraged to actively participate in class discussions.

Required Resources

Required Readings

Part A: Mathematics 

  • Hoy, M., Livernois, J., McKenna, C., Rees, R., & Stengos, T. (2011). Mathematics for Economics. MIT press. (Chapter 2, 3, 5-7, 9-13)

Part B: Statistics

  • Wooldridge, J. M. (2012). Introductory Econometrics: A Modern Approach, (Boston: Cengage Learning). (Appendix A, B, C; Chapter 1-5).

Staff Feedback

Students will be given feedback in the following forms in this course:
  • Written comments
  • Verbal comments
  • Feedback to the whole class, to groups, to individuals, focus groups

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Class Schedule

Week/Session Summary of Activities Assessment
1 Part A, Topic 1 Linear Algebra Students are expected to be able to A1: Simple matrix operations A2: Set up a system of linear equations in matrix form and solve for the system
2 Part A, Topic 2 Functions and Calculus A3: Estimate and interpret marginal effect and elasticity
3 Part A, Topic 3 Optimization A4: Apply the Lagrangian method to solve for cost minimization, utility maximization, and profit maximization
4 Part B, Topic 1 Fundamentals of probability B1: Have a fundamental knowledge of probability, statistic, and mathematics ready for studying econometrics
5 Part B, Topic 2 Fundamentals of mathematical statistics B2: Construct, test, and analyze the statistical hypothesis B3: Identify the desirable properties of estimators
6 Part B, Topic 3 Introduction to Econometrics; R training session B4: Identify key classical assumptions in econometric models B5: Understand the OLS method in measuring the relationship among variables in the economic theory B6: Use R in matrix calculation and OLS regression

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Quiz 1 10 % 23/01/2019 30/01/2019 A1 - A3
Part A Exam 40 % 28/01/2019 07/02/2019 A1 - A4
Quiz 2 10 % 03/02/2019 07/02/2019 B1 - B2
Part B Exam 40 % 10/02/2019 17/02/2019 B1 - B5

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Assessment Task 1

Value: 10 %
Due Date: 23/01/2019
Return of Assessment: 30/01/2019
Learning Outcomes: A1 - A3

Quiz 1

Learning Outcomes:

1. Work with simple matrix operations.

2. Write a system of linear equations under matrix form and solve the system of equations.

3. Estimate the impact of a change in one variable on the other variable through marginal effect and elasticity.

Assessment Task 2

Value: 40 %
Due Date: 28/01/2019
Return of Assessment: 07/02/2019
Learning Outcomes: A1 - A4

Part A Exam

Learning Outcomes:

4. Work with simple matrix operations.

5. Write a system of linear equations under matrix form and solve the system of equations.

6. Estimate the impact of a change in one variable on the other variable through marginal effect and elasticity.

7. Apply the Lagrangian method to solve for cost minimization, utility maximization and profit maximization.

Assessment Task 3

Value: 10 %
Due Date: 03/02/2019
Return of Assessment: 07/02/2019
Learning Outcomes: B1 - B2

Quiz 2

Learning Outcomes:

1. Have fundamental knowledge of probability theory, statistics and mathematics required for studying econometrics.

2. Construct, test, and analyse simple statistics and econometric models, using variables and relationships commonly found in studies of economic theory.

3. Identify the desirable properties of estimators.

4. Identify key classical assumptions in the field of econometrics.

Assessment Task 4

Value: 40 %
Due Date: 10/02/2019
Return of Assessment: 17/02/2019
Learning Outcomes: B1 - B5

Part B Exam

Learning Outcomes:

5. Have fundamental knowledge of probability theory, statistics and mathematics required for studying econometrics.

6. Construct, test, and analyse simple statistics and econometric models, using variables and relationships commonly found in studies of economic theory.

7. Identify the desirable properties of estimators.

8. Identify key classical assumptions in the field of econometrics.

9. Understand the least squares method in measuring the relationship between one or more than one explanatory variable and a dependent variable.

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information. In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service — including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy. If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes. Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).
Dr Larry Weifeng Liu
larry.wf.liu@anu.edu.au

Research Interests


Dr Larry Weifeng Liu

By Appointment
Quoc Anh Ho
61938356
quocanh.ho@anu.edu.au

Research Interests


Quoc Anh Ho

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions