ECOS3002: Semester 2, 2022

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Units ECOS3002 Semester 2 2022 [Normal day]

Unit outline_

ECOS3002: Development Economics

Semester 2, 2022 [Normal day] - Camperdown/Darlington, Sydney

Overview

This unit examines the economic transformation of less-developed countries from microeconomic and macroeconomic perspectives. It covers applied topics such as education, health, nutrition, demographics, labour, agriculture and the private sector, focusing on how policies attempt to overcome market and institutional failures that are particularly acute in the developing world. Focus is given to applying theoretical and empirical tools necessary to conceptualise, analyse and interpret various issues in economic development. Applied examples from developing countries are used throughout the unit.

Unit details and rules

Academic unit	Economics
Credit points	6
Prerequisites ?	ECOS2001 or ECOS2901 or ECOS2002 or ECOS2902
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Russell Toth, russell.toth@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam (Open book)	Final exam Short-answer and short essay questions	50%	Formal exam period	2 hours
Outcomes assessed:
In-semester test (Open book)	Mid-semester exam Short-answer and short essay questions	30%	Week 08 Due date: 19 Sep 2022 at 14:00	50 minutes
Outcomes assessed:
Assignment	Written assessment Long answer/essay, online submission, multiple steps. See assign. descrip.	20%	Week 12 Due date: 28 Oct 2022 at 17:00	1000 words per student
Outcomes assessed:
= group assignment with individually assessed component ? = Type C final exam ? = Type C in-semester exam ?

Assessment summary

Detailed information for each assessment can be found on Canvas.

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.

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.

Learning support

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.

Weekly schedule

WK	Topic	Learning activity
Week 01	Lecture 1	Lecture (2 hr)
Week 02	Lecture 2	Lecture (2 hr)
Week 02	Tutorial for lecture 1	Tutorial (1 hr)
Week 03	Lecture 3	Lecture (2 hr)
Week 03	Tutorial for lecture 2	Tutorial (1 hr)
Week 04	Lecture 4	Lecture (2 hr)
Week 04	Tutorial for lecture 3	Tutorial (1 hr)
Week 05	Lecture 5	Lecture (2 hr)
Week 05	Tutorial for lecture 4	Tutorial (1 hr)
Week 06	Lecture 6	Lecture (2 hr)
Week 06	Tutorial for lecture 5	Tutorial (1 hr)
Week 07	Lecture 7	Lecture (2 hr)
Week 07	Tutorial for lecture 6	Tutorial (1 hr)
Week 10	Lecture 8	Lecture (2 hr)
Week 10	Tutorial for lecture 7	Tutorial (1 hr)
Week 11	Lecture 9	Lecture (2 hr)
Week 11	Tutorial for lecture 8	Tutorial (1 hr)
Week 12	Lecture 10	Lecture (2 hr)
Week 12	Tutorial for lecture 9	Tutorial (1 hr)
Week 13	Lecture 11	Lecture (2 hr)
Week 13	Tutorial for lecture 10	Tutorial (1 hr)

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

Required textbook:

de Janvry, Alain, and Elisabeth Sadoulet. 2021. Development Economics: Theory and Practice, 2nd edition. Routledge.

https://www.routledge.com/Development-Economics-Theory-and-Practice/Janvry-Sadoulet/p/book/9780367456474

See associated content on textbook website:*

https://www.routledge.com/Development-Economics-Theory-and-Practice/Janvry-Sadoulet/p/book/9780367456474

For all other readings, see the weekly modules on the ECOS3002 Canvas site.

Learning outcomes

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.

Outcomes
Graduate qualities

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

LO1. understand the key microeconomic issues relating to economic development and poverty reduction
LO2. utilise common empirical tools in development microeconomics
LO3. formulate, evaluate and communicate about development policies and interventions.

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
Learning outcomes

Responding to student feedback

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

In 2022 ECOS3002 will have more applied econometrics content, clearer tutorial assignments, and some adjustments to the group project for a better student experience.

Additional information

We will use Canvas, Canvas messaging, and Ed extensively. Please setup Canvas messaging to forward to your USyd student email, and plan to regularly check the course Canvas and Ed sites.

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.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

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