• Class Number 7982
  • Term Code 3460
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Dr Damien Eldridge
  • LECTURER
    • Dr Damien Eldridge
  • Class Dates
  • Class Start Date 22/07/2024
  • Class End Date 25/10/2024
  • Census Date 31/08/2024
  • Last Date to Enrol 29/07/2024
SELT Survey Results

Modern economic theory is based on mathematical models. Thus, a thorough understanding of the economic content of such models is not possible without a clear understanding of the mathematical concepts that underpin the modeling. This course introduces students to a range of optimisation concepts and techniques for economics and financial economics that form the basis of advanced economic theory courses. The introduced optimisation concepts and techniques will be derived from basic principles and assumptions as thoroughly as possible, and will be illustrated using standard applications from economics.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Demonstrate an understanding of the basic mathematical methods that are most widely used in economics, both from a formal, abstract perspective, and an intuitive perspective.
  2. Demonstrate an understanding of and ability to construct mathematical proofs, and appreciate their role in the derivation of mathematical concepts and structures.
  3. Apply mathematical methods and techniques that are formulated in abstract settings to concrete economic applications.

Research-Led Teaching

The material taught in this course is directly relevant to research in most, if not all, areas of economics.

Field Trips

Not applicable.

Additional Course Costs

Not applicable.

Examination Material or equipment

  • The exam is a closed book exam. As such, you will only be permitted to bring standard writing equipment (pens, pencils, rulers, pencil-sharpeners, erasers, and the like) into the exam venue.
  • You will be loaned a scientific calculator (belonging the ANU College of Business and Economics) for the duration of the exam. The calculator will be a Hewlett-Packard HP300s+ scientific calculator. If you are not familiar with this model of calculator, you might like to consult the user guide for it, which can be found online, at some point before the exam. A small number of these calculators will hopefully be available for viewing at the RSE Enquiries Team counter at some point during the semester. Please note that you will not be permitted to bring your own calculator into the exam venue.

Required Resources

There are no required textbooks for this course. A list of some references that you might find useful at various points during the course can be found in the "recommended resources" section of this syllabus. A reasonably extensive list, or possibly lists, of suggested readings will be provided on the Wattle site for this course during the semester.

Some books that you might find useful at various points during this course include those in the list below. Note that (I) indicates an intermediate level reference, and (A) indicates an advanced level reference.


  • Arrow, KJ, and MD Intriligator (Editors) (1981), Handbook of mathematical economics, volume 1, North-Holland Publishing Company, The Netherlands. (A).
  • Arrow, KJ, and MD Intriligator (Editors) (1982), Handbook of mathematical economics, volume 2, North-Holland Publishing Company, The Netherlands. (A).
  • Chiang, AC, and K Wainwright (2005), Fundamental methods of mathematical economics (fourth edition), McGraw-Hill, Singapore. (I).
  • Corbae, D, MB Stinchcombe, and J Zeman (2009), An introduction to mathematical analysis for economic theory and econometrics, Princeton University Press, USA. (A).
  • Dixit, AK (1990), Optimization in economic theory (second edition), Oxford University Press, Great Britain. (I).
  • Intriligator, MD (1971), Mathematical optimization and economic theory, Prentice-Hall, USA. (I).
  • Leonard, D, and NV Long (1992), Optimal control theory and static optimization in economics, Cambridge University Press, USA: Chapter 1 only. (I).
  • Luenberger, DG (1969), Optimization by vector space methods, John Wiley and Sons, USA. (A).
  • Ok, EA (2007), Real analysis with economic applications, Princeton University Press, USA. (A).
  • Peressini, AL, FE Sullivan, and JJ Uhl Jr (1988), The mathematics of nonlinear programming, Springer-Verlag, USA. (I).
  • Silberberg, E, and W Suen (2001), The structure of economics: A mathematical analysis (third edition), McGraw-Hill, Singapore. (I).
  • Simon, CP, and L Blume (1994), Mathematics for economists, WW Norton and Company, USA. (I).
  • Sundaram, RK (1996), A first course in optimization theory, Cambridge University Press, USA. (A).
  • Takayama, A (1985), Mathematical economics (second edition), Cambridge University Press, USA. (A).
  • Takayama, A (1993), Analytical methods in economics, The University of Michigan Press, USA. (I).


The ANU library system will be requested to look into the possibility of obtaining a copy of these items, if it does not already do so. It will also be requested to look into the possibility of obtaining a digital version of these items, if it does not already have one and if such a version exists. I will request that all physical copies of these editions of these books that are available in the ANU library system be placed on short loan for the duration of this course. (Note that, when multiple editions of one of these books exists, it probably does not matter which edition you consult.)


Books relevant to this class can be found in both the Chifley Library (which houses most of the ANU Library’s economics collection) and the Hancock Library (which houses some of the ANU Library’s economics collection and most of the ANU Library’s mathematics collection). I strongly encourage you to familiarise yourself with, and make use of the resources contained in, both of these branches of the ANU Library.

Staff Feedback

Students will be given feedback in the following forms in this course:

  • Graded tutorial assignments and some brief written feedback;
  • Graded online quizzes and some brief written feedback; and
  • Verbal feedback upon request during consultation sessions.

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). Feedback can also be provided to Course Conveners and teachers via the Student Experience of Learning & Teaching (SELT) feedback program. SELT surveys are confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.

Other Information

Work-Load Expectations

The amount of work required for successful completion of this class may vary between students. As a rough guide, students should expect to devote at least 10 hours a week to this class. This should include all of the following.

  • 3 hours a week: lectures.
  • 1 hour a week: tutorials (except for week 1).
  • At least 6 hours a week: reading, research, writing, revision, lecture preparation, and tutorial preparation.

Class Schedule

Week/Session Summary of Activities Assessment
1
  • Week 1:
  • Mathematical foundations.
2
  • Week 2:
  • Mathematical foundations.
  • Tutorial assignment 1 released (worth 2 %).
3
  • Week 3:
  • Mathematical foundations.
  • Tutorial assignment 1 due for submission (worth 2 %).
4
  • Week 4:
  • Mathematical foundations.
  • Tutorial assignment 2 released (worth 2 %).
5
  • Week 5:
  • Mathematical foundations.
  • Tutorial assignment 2 due for submission (worth 2 %).
6
  • Week 6:
  • The theory of optimisation.
  • Online quiz 1 will be held (worth 15 %).
  • Tutorial assignment 3 released (worth 2 %).
7
  • Week 7:
  • The theory of optimisation.
  • Tutorial assignment 3 due for submission (worth 2 %).
8
  • Week 8:
  • The theory of optimisation.
  • Tutorial assignment 4 released (worth 2 %).
9
  • Week 9:
  • The theory of optimisation.
  • Tutorial assignment 4 due for submission (worth 2 %).
10
  • Week 10:
  • Some economic applications of optimisation.
  • Tutorial assignment 5 released (worth 2 %).
11
  • Week 11:
  • Some economic applications of optimisation.
  • Tutorial assignment 5 due for submission (worth 2 %).
12
  • Week 12:
  • Some economic applications of optimisation.
  • Online quiz 2 will be held (worth 15 %).
13
  • The Official Final Exam Period.
  • The final exam will be held (worth 60 %).

Tutorial Registration

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

All tutorials this semester are on-campus only.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Fortnightly Tutorial Assignments (2 % each, 10 % overall). 10 % * * 1, 2, 3.
Online Quiz 1 (15 %). 15 % 29/08/2024 29/08/2024 1, 2, 3.
Online Quiz 2 (15 %). 15 % 24/10/2024 24/10/2024 1, 2, 3.
Final Exam (60 %). 60 % * * 1, 2, 3.

* 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 Integrity 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 Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

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.

Participation

  • You will not be assessed on either attendance or participation in this course
  • Nonetheless, both attendance and active participation will enhance your enjoyment of the course and your understanding of the material covered in the course.
  • Lectures in this course will be "live" events that are held "in person".
  • When available, recordings of the lectures will be provided via the ECHO360 link on the Wattle site for this course at some point after the conclusion of the relevant lecture.
  • While it is hoped that the lecture recording system will provide recordings of suitable quality for each lecture in this course, there is no guarantee that this will be the case.
  • Please note that replacement recordings will not be made in the event that the recording of a lecture fails to be produced by the automatic lecture recording system or is of low quality.
  • In such an event, you might need to make do with the lecture notes in the event that you were unable to attend the lecture.
  • If there is a suitable replacement recording from a previous instance of this course or some other course that is readily available, then I might post it if such an event were to occur.
  • Beginning in week two, there will be a weekly tutorial held in this course.
  • Tutorials in this course will be "live" events that are held in-person.
  • Please note that there will be no "online" tutorials (unless illness or other circumstances necessitate their use).
  • Please note that the tutorials will not be recorded.
  • The course convenor (who is also the lecturer) will hold his consultation sessions in-person immediately following the lectures in all teaching weeks other than week 6 and week 12. (Alternative arrangements for week 6 and week 12 are describe below.)
  • I have requested that there be two lecture slots, each of which is two hours long, for this course.
  • The first one-and-one-half hours, or there about, of each of these slots will be used for the lecture, with the remaining (at most) half hour being used for a student consultation session. 
  • These student consultation sessions will be held in the lecture room.
  • I will stay until the earlier of the point in time at which there are no more students with queries and the end of the lecture slot.
  • In week 6 and week 12, the lecturer will hold his student consultation sessions online over Zoom in the hour immediately preceding the online quiz that will be held in that week. A Zoom meeting link for the week 6 and week 12 student consultation sessions will be provided on the Wattle site for this course.

Examination(s)

Please see the information about "assessment task 4" in this document, and the information in the "examination material or equipment" section of this document.

Assessment Task 1

Value: 10 %
Learning Outcomes: 1, 2, 3.

Fortnightly Tutorial Assignments (2 % each, 10 % overall).

  • You are requested to submit answers to all of the "tutorial questions" (but not any "additional practice questions") that are assigned for teaching week 3 (tutorial 2), teaching week 5 (tutorial 4), teaching week 7 (tutorial 6), teaching week 9 (tutorial 8), and teaching week 11 (tutorial 10).
  • Each of these assignments should be submitted online through the relevant "Turnitin" link on the Wattle site for this class. A scanned copy of your handwritten assignment is fine. You are not required to type up your answers. However, in order for your assignment to be marked, it must be legible to the grader. If it is not legible, then a mark of zero will be awarded.
  • Each assignment should be submitted by 8:00 am on the Monday at the beginning of the week in which the relevant tutorials are held (that, in teaching weeks 3, 5, 7, 9, and 11), unless that Monday is a public holiday in Canberra. If the Monday is a public holiday in Canberra, then the assignment should be submitted by 8:00 am on the first regular business day thereafter.
  • If you have trouble submitting your assignment through the turnitin link, then please email a copy of that assignment to the course email address (ECON2125@anu.edu.au). Any such email must be received no later than 08:00:00 am on the day that the assignment is due in order for your assignment to be marked.
  • You will typically receive the questions for each assignment at least half a week before it is due.
  • No late submissions will be accepted. Any assignments that are not submitted by the due date and time will receive a mark of zero.
  • In each of these assignments, one question will be chosen for assessment and your mark for that assignment will be based on your response to that question. The identity of the selected question will only be revealed upon release of the marked assignments.
  • Each of these five tutorial assignments will be worth 2 % of your overall mark for this course. This means that this assessment component is worth 10 % of your mark for this course in total.
  • We will endeavour to release comments and marks for these assignments via "Turnitin" by 5:00 pm on Mondays in Teaching Weeks 4, 6, 8, 10, and 12 (that is, in the week after they are submitted).
  • Each tutorial assignment will be allocated a non-negative integer mark out of four. A mark of four will be awarded to very good answers for the selected question. These are "high distinction" level answers. A mark of three will be awarded to good, but not very good, answers for the selected question. These are either "distinction" or "upper-end credit" level answers. A mark of two will be awarded to alright, but not good, answers for the selected question. These are either "lower-end credit" or "pass" level answers. A mark of one will be awarded to poor answers for the selected question. These are "fail" level answers. A mark of zero will only be awarded if no substantive answer is submitted for the selected question.
  • All learning outcomes are relevant for this assessment task.


Assessment Task 2

Value: 15 %
Due Date: 29/08/2024
Return of Assessment: 29/08/2024
Learning Outcomes: 1, 2, 3.

Online Quiz 1 (15 %).

  • This will be a one-hour long quiz that is administered online through the Wattle site for this course. It will be held online on Thursday 29 August 2024 from 3:00 pm to 4:00 pm (that is, during the second half of the Thursday lecture slot in Week 6).
  • Online quiz 1 will consist of some number of questions. The questions might be of the multiple choice, true or false (or possibly true or false or ambiguous), or single numeric answer variety, or some mixture of these question varieties.
  • The quiz will become available at precisely 3:00:00 pm Canberra time on Thursday 29 August 2024. You will be able to submit your answers from this point in time until precisely 4:00:00 pm Canberra time on Thursday 29 August 2024.
  • No late submissions will be accepted. Any online quizzes that are not submitted by the due date and time will receive a mark of zero.
  • You should attempt the questions in the order that you encounter them, as you will not be able to return to questions (that is, navigate backwards) on this assignment.
  • This assessment item will potentially include material from the first five weeks of lectures, and the first five tutorials. The answer key for tutorial five (which will held in week 6) will be released earlier than usual in order to facilitate this.
  • All learning outcomes are relevant for this assessment task.
  • Your mark on this assessment item, along with some general feedback, will become available immediately after the conclusion of the time slot for this assessment item (that is, it will become available at, or perhaps just after, 4:00 pm Canberra time on Thursday 29 August 2024).

Assessment Task 3

Value: 15 %
Due Date: 24/10/2024
Return of Assessment: 24/10/2024
Learning Outcomes: 1, 2, 3.

Online Quiz 2 (15 %).

  • This will be a one-hour long quiz that is administered online through the Wattle site for this course. It will be held online on Thursday 24 October 2024 from 3:00 pm to 4:00 pm (that is, during the second half of the Thursday lecture slot in Week 12).
  • Online quiz 2 will consist of some number of questions. The questions might be of the multiple choice, true or false (or possibly true or false or ambiguous), or single numeric answer variety, or some mixture of these question varieties.
  • The quiz will become available at precisely 3:00:00 pm Canberra time on Thursday 24 October 2024. You will be able to submit your answers from this point in time until precisely 4:00:00 pm Canberra time on Thursday 24 October 2024.
  • No late submissions will be accepted. Any online quizzes that are not submitted by the due date and time will receive a mark of zero.
  • You should attempt the questions in the order that you encounter them, as you will not be able to return to questions (that is, navigate backwards) on this assignment.
  • This assessment item will potentially include material from the first eleven weeks of lectures, and all eleven tutorials. The answer key for tutorial eleven (which will held in week 12) will be released earlier than usual in order to facilitate this.
  • All learning outcomes are relevant for this assessment task.
  • Your mark on this assessment item, along with some general feedback, will become available immediately after the conclusion of the time slot for this assessment item (that is, it will become available at, or perhaps just after, 4:00 pm Canberra time on Thursday 24 October 2024).

Assessment Task 4

Value: 60 %
Learning Outcomes: 1, 2, 3.

Final Exam (60 %).

  • The final exam for this course will be an in-person, closed book exam that consist of fifteen minutes of reading time followed by three hours of writing time.
  • The only materials that you will be permitted to bring into the exam venue will be standard writing equipment. Further information about this can be found in the "examination material or equipment" section of this document.
  • You will not be permitted to bring your own calculator into the exam venue. Instead, you will be loaned a scientific calculator for the duration of the exam. Further information about this can be found in the "examination material or equipment" section of this document.
  • The exam will comprehensive, in the sense that questions can potentially be drawn from any component of this class. This includes any material that is covered in lectures, or covered in tutorials, or covered in assigned readings, or covered in some combination of these sources.
  • The date and time of the final exam will be determined by the central administration of the ANU. It will occur sometime during the official final exam period.
  • The final exam is worth 60 % of your raw overall mark for this course, unless alternative arrangements are authorised by the University.
  • All learning outcomes are relevant for this assessment task.
  • Opportunities to view the graded final exam scripts will be available sometime after the official release of results for the semester.

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly, responsibly and ethically, and with respect and fairness, in scholarly practice.


The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualifications.


The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.

 

The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as well as understanding and upholding academic integrity.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) submission must be through Turnitin.

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

In the absence of an approved extension, no submission of assessment tasks after the due date and time will be permitted in this course. If an assessment task is not submitted by the due date and time, and an extension has not been approved, a mark of zero will be awarded.

Referencing Requirements

The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing requirements for different disciplines. There is also information on Plagiarism and different ways to use source material. Any use of artificial intelligence must be properly referenced. Failure to properly cite use of Generative AI will be considered a breach of academic integrity.

Returning Assignments

Please refer to the information on this that was provided above in the discussion of the various assessment tasks.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted 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.

Resubmission of Assignments

No resubmission of any assignment after the due date and time for its submission will be permitted in this class.

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).

  • ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
  • ANU Accessibility for students with a disability or ongoing or chronic illness
  • ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
  • ANU Academic Skills supports you make your own decisions about how you learn and manage your workload.
  • ANU Counselling promotes, supports and enhances mental health and wellbeing within the University student community.
  • ANUSA supports and represents all ANU students
Dr Damien Eldridge
(02) 6125 1178
U3497359@anu.edu.au

Research Interests


Microeconomic Theory, Applied Microeconomics, Mathematical Economics, Welfare Economics.

Dr Damien Eldridge

Tuesday 11:30 12:00
Thursday 15:30 16:00
Sunday
Dr Damien Eldridge
(02) 6125 1178
ECON2125@anu.edu.au

Research Interests


Dr Damien Eldridge

Tuesday 11:30 12:00
Thursday 15:30 16:00
Sunday

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