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Unit outline_

ECOS2901: Intermediate Microeconomics Honours

Semester 1, 2022 [Normal day] - Remote

This unit is comprised of lectures based upon the curriculum for ECOS2001 Intermediate Microeconomics, supported by a seminar for one hour a week. The content of lectures reflect a more analytical and critical treatment of the topics than ECOS2001. The topics, which build on the theory of consumer and firm behaviour and market structure, include game theory, oligopoly, general equilibrium and welfare, externalities and public goods and the economics of information.

Unit details and rules

Academic unit Economics
Credit points 6
Prerequisites
? 
(ECON1001 or BUSS1040 or ECON1040) with a minimum credit grade (65%) and ECON1002 with a minimum credit grade (65%)
Corequisites
? 
None
Prohibitions
? 
ECOS2001 or ECON2001 or ECON2901
Assumed knowledge
? 

ECOS2903 or MATH2070 or MATH2970

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Anastasia Burkovskaya, anastasia.burkovskaya@sydney.edu.au
Type Description Weight Due Length
Assignment group assignment Policy project
Take-home group assignment
20% Formal exam period
Due date: 18 Jun 2022 at 23:59
1-month take-home group assignment
Outcomes assessed: LO1 LO2 LO3 LO4
Assignment Quiz 7
Online quiz covers Week 13
10% Formal exam period
Due date: 06 Jun 2022 at 18:00
30 mins
Outcomes assessed: LO1 LO2 LO3 LO4
Assignment Quiz 1
Online quiz covers Weeks 1 and 2
10% Week 04
Due date: 14 Mar 2022 at 18:00
30 mins
Outcomes assessed: LO1 LO4 LO3 LO2
Assignment Quiz 2
Online quiz covers Weeks 3 and 4
10% Week 06
Due date: 28 Mar 2022 at 18:00
30 mins
Outcomes assessed: LO1 LO4 LO3 LO2
Assignment Quiz 3
Online quiz covers Week 5
10% Week 07
Due date: 04 Apr 2022 at 18:00
30 mins
Outcomes assessed: LO1 LO4 LO3 LO2
Assignment Quiz 4
Online quiz covers Weeks 6 and 7
10% Week 09
Due date: 26 Apr 2022 at 18:00
30 mins
Outcomes assessed: LO1 LO4 LO3 LO2
Assignment Quiz 5
Online quiz covers Weeks 8 and 9
10% Week 11
Due date: 09 May 2022 at 18:00
30 mins
Outcomes assessed: LO1 LO4 LO3 LO2
Assignment Quiz 6
Online quiz covers Weeks 10 and 11
10% Week 13
Due date: 23 May 2022 at 18:00
30 mins
Outcomes assessed: LO1 LO4 LO3 LO2
Assignment Homework
Online
10% Weekly Weekly
Outcomes assessed: LO1 LO4 LO3 LO2
group assignment = group assignment ?

Assessment summary

Detailed information for each assessment can be found on the Canvas site for this unit.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a High distinction indicates work of an exceptional standard, a Distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Policy report: each day of delay will lose 5% out of 20%, meaning that after 4 days the assignment will be worth 0.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Intro and Monopoly Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 02 Game theory: static games, Nash equilibrium, mixed strategies, oligopoly Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 03 Game theory: dynamic games, subgame perfect Nash equilibrium, Stackelberg competition, repeated games, collusion Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 04 Consumer theory: preferences and utility Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 05 Consumer theory: budget, utility maximization Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 06 Consumer theory: comparative statics, choice, revealed preference Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 07 Exchange economy, welfare theorems, externalities Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 08 Uncertainty, demand for insurance Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 09 Time preference Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 10 Producer theory: technology, profit maximization Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 11 Producer theory: costs, short-run behavior, partial equilibrium (short run vs long run) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 12 General equilibrium Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 13 Asymmetric information: adverse selection, signalling, moral hazard Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4

Attendance and class requirements

  • Attendance: According to Faculty Board Resolutions, students in the Faculty of Arts and Social Sciences are expected to attend 90% of their classes. If you attend less than 50% of classes, regardless of the reasons, you may be referred to the Examiner’s Board. The Examiner’s Board will decide whether you should pass or fail the unit of study if your attendance falls below this threshold.
  • Lecture recording: Most lectures (in recording-equipped venues) will be recorded and may be made available to students on the LMS. However, you should not rely on lecture recording to substitute your classroom learning experience.
  • Preparation: Students should commit to spend approximately three hours’ preparation time (reading, studying, homework, essays, etc.) for every hour of scheduled instruction.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

The unit is tailored for entry into the honours program, and no universal textbook is available for this unit. Lecture notes will be provided.

Students are advised to follow supplementary readings of the level they are comfortable with.

Recommended texts:

intermediate level:

  • Intermediate Microeconomics: A Modern Approach by Varian, Hal (preferred)
  • Intermediate Microeconomics: A Tool-Building Approach by Samiran Banerjee (available online)

advanced level:

Microeconomic Theory by Mas-Colell, Whinston, Green

Other prescribed readings will be listed progressively on the Canvas website during the unit.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. have a sound understanding of the structure of major microeconomic models of the decision problems facing individual consumers and firms, and the formal techniques commonly applied to solve them
  • LO2. have both a formal and intuitive understanding of the results generated by these models, how they relate to underlying assumptions, and how they may change as a result of varying those assumptions
  • LO3. understand the limitations of various models, and be able to critically evaluate competing explanations of economic behaviour
  • LO4. possess a solid foundation for the application of microeconomic theory to problems in the real world, and in subsequent studies in specialist and applied fields of economics.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

Changes to the topic outline and the major change to the assessment structure, motivated by adjustments required for the re-alignment between ECOS2901/3.
 
 
 
 
 

 

Work, health and safety

 
 
 
 
 

 

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.