ECON1203 Business and Economic Statistics - 2020

ECON1203
Undergraduate
Term 3
6 Units of Credit
Online
Economics
This course outline is for the current semester. To view outlines from other years and/or semesters, visit the archives

1. Course Details

Summary of Course

This course introduces students to basic statistical concepts and methods that are widely used in economics, finance, accountancy, marketing and, more generally, business. Emphasis is placed on applying statistical methods to draw inferences from sample data as an aid to informed decision-making. Course topics include: descriptive statistics, probability distributions, point and interval estimation of parameters, hypothesis testing, and regression models. Students will learn to solve statistical problems in an Excel spreadsheet environment. This course provides the basis for further study of statistical and econometric methods.

Teaching Times and Locations

Please note that teaching times and locations are subject to change. Students are strongly advised to refer to the Class Timetable website for the most up-to-date teaching times and locations.

View course timetable

Course Policies & Support

Course Aims and Relationship to Other Courses

ECON1203 Business and Economic Statistics is offered as part of the first year core in the BCom and BEc degrees within the UNSW Business School. It aims to give you the basic skills and knowledge for data analysis that will be used in further study in other disciplines in the Business School. In particular, ECON1203 is a prerequisite for all higher-level courses in econometrics and business statistics offered by the School of Economics. These courses are designed to equip students with more advanced statistical and other quantitative skills that are in demand by employers in the public and private sectors.

Presumed Knowledge

ECON 1203 takes seriously the Business School’s assumed knowledge requirement that all students entering the BCom and BEc degrees are familiar with the material covered in HSC Mathematics, which includes: basic functions, including logarithmic and exponential; using graphs to represent and analyse functions; solving equations; basic probability; and elementary differentiation and integration. If you have not studied one or more of these topics previously, then remedial work will be necessary. This material will not be revised as part of the ECON1203 lectures or tutorials.

A series of diagnostic tests have been designed to evaluate the adequacy of your basic quantitative preparation for this course. These tests are available on the course website and all students should attempt the tests to reflect on whether they need additional help. Students with the appropriate background will find the tests straightforward. If this is not the case for you, and your results make you feel that you require some assistance, you may wish to engage in some self-directed study, in which case we recommend to you the following book, available at the UNSW Bookshop: Managing Mathematics: A Refresher Course for Economics and Commerce Students, by Judith Watson, 2nd edition, 2002.

In addition to the above resources, the UNSW Business School Education Portfolio also offers individual consultations to support your numeracy skills. The best way to make use of these consultations is to complete the diagnostic tests, identify which questions you had difficulties with and then ask for assistance. This way, the consultation session can be utilised efficiently. You can make bookings for these sessions here.

2. Staff Contact Details

Position Title Name Email Location Phone Consultation Times
Lecturer-in-chargeDrRachida OuysseRoom 441, UNSW Business School9385 3321Mondays 15:00-18:00 (and by appointment)

A full list of tutors, tutorial times and locations will be posted on the course website.

Communications with Staff

You should feel free to contact the Lecturer-in-Charge about any academic matter. However, where possible, all enquiries about the subject material should be made at lectures or tutorials, or during consultation times. Discussion of course subject material will not be entered into via lengthy emails.

Any questions regarding administrative matters (e.g., tutorial allocations) should be directed to the tutor-in-charge, Lee Lee Ooi.
You should expect responses to email correspondence within 48 hours, but not over weekends. Before communicating with staff, please check relevant components of this course outline as this will provide answers to most common questions. You should also regularly check the course website for announcements and reminders about upcoming events and deadlines.

Consultation Times: The Lecturer in Charge will hold weekly one hour Q&A Zoom sessions during consultation times (specifically, from 15:00 to 16:00 each Monday afternoon). You can also pre-book one-on-one or small group short zoom consultation sessions in the remaining time (16:00-18:00). To pre-book, please email the LIC by Friday of the previous week.

Student Enrolment Requests

Students can vary their own enrolment (including switching lecture streams or tutorials) via myUNSW until the end of Week 1. In general, most other student enrolment requests should be directed to The Nucleus: Student Hub (formerly Student Central). These include enrolment in full courses or tutorials, course timetable clashes, waiving prerequisites for any course, transfer-of-credit (international exchange, transfer to UNSW, cross-institutional study, etc.), or any other request which requires a decision about equivalence of courses and late enrolment for any course. Where appropriate, the request will be passed to the School Office for approval before processing. Note that enrolment changes are rarely considered after Week 2 classes have taken place.

Peer-Assisted Study Sessions (PASS)

PASS is a system of voluntary study groups available to ECON1203 students. The groups are led by senior students and are an opportunity to practice problems, develop study methods, ask questions, and consolidate your knowledge in a friendly, informal environment. The timetable and further information will be available from the course website around Week 2. Note that for this term the sessions will be online.

Individual consultations

Individual consultations are available for students in this course through a collaboration between the School of Economics and the UNSW Business School Education Portfolio. The purpose of these sessions is to provide additional support in areas which you need further clarification. There are two types of consultation:

  • Numeracy: Designed to help support your numeracy skills in general and to help you brush up on the tools you'll need for this course.
  • ECON1203-specific: Designed to support your understanding of this subject. Consultants are some of the best past students in this course and can provide another perspective on your questions and provide guidance to assist your understanding. Please note they are not mathematicians. Thus if you have problems with numeracy in general, it is best to select the numeracy consultation, rather than this one.

Bookings for these consultation sessions can be made here. All sessions will be conducted online.

3. Learning and Teaching Activities

Approach to Learning and Teaching in the Course

The philosophy underpinning this course and its teaching and learning strategies is based on “Guidelines on Learning that Inform Teaching at UNSW". More detail on teaching and learning strategies for this course is provided below.

The lectures, tutorials, and assessment have been designed to appropriately challenge students and support the achievement of the desired learning outcomes. A climate of inquiry and dialogue is encouraged between students and tutors and amongst students (in and out of class).  The lecturer and tutors aim to provide meaningful and timely feedback to students to improve learning outcomes.

Learning Activities and Teaching Strategies

The examinable content of the course is defined by the textbook references given in the lecture schedule, the content of lectures, and the content of the tutorial materials. Additional content is provided to enhance, contextualise, and ease your learning.

Lectures

The purpose of lectures is to provide a logical structure for the topics that make up the course; to emphasise and explain the important concepts and methods in each topic; and to provide initial examples to which the concepts and methods are applied. This term, there will be one synchronous lecture and one pre-recorded lecture each week. The first lecture will be delivered synchronously (live-streamed) via Blackboard Collaborate at the first timetabled lecture time (Monday 13:00-14:30). The second lecture will be pre-recorded and made available online on the day of the second timetabled lecture (Wednesday). All lectures will be recorded. We will also provide additional links to videos to complement your lectures.

Tutorials

Tutorials are an integral part of the course. Tutorial activities, including discussions, build on the material discussed in lectures and are designed to help you deepen your understanding and practice working with the material. This term the tutorials will be provided both online via Blackboard Collaborate and face-to-face at the timetabled tutorial times.

Out-of-Class Study

A significant amount of your learning is expected to be achieved outside of class time. Lectures can only provide a structure to assist your study, and tutorial time is limited. Both the course website and the Wiley Platform online learning environment, accessible from the course website, offer an array of diverse materials to assist in your out-of-class study and revision.

During the term you should also attempt online quizzes, which are accessible via the Wiley Platform.

A good study strategy for getting on top of each week's worth of material is as follows:

  • Read the relevant chapter(s) of the text each week before the lecture. This will give you a general idea of the topics covered.
  • Attend lecture. Here the context of that week’s topics in the course, their relevance, and the important elements of the topics are identified and explained.
  • After completing the above activities, and before attending the ensuing week's tutorial, attempt the tutorial questions and attempt the quiz for the relevant chapter in the Wiley Platform. This will help you identify issues that you can discuss and clarify in the tutorial class.
  • Attend your tutorial. Here you will engage in interactive discussion and problem-solving using the material from the previous week’s lecture.
  • Attend PASS. Here you will work with other students in the course and be given additional material to work on. These sessions will be conducted online.
  • Book for an individual consultation if you still need further clarity on the topic. You can book consultations here. When booking, select one of the sessions labelled "ECON1203" for support on the material specifically in this course. These sessions will be conducted online.

Computing

During this course, students will use the popular spreadsheet program Microsoft Excel to solve statistical problems. Excel is a computing tool to perform statistical data analysis and inference. Excel output will be discussed in tutorials and lectures, through worked examples. Computing is an integral component of ECON1203, and you are expected to become proficient in Excel by the end of this course.

5. Course Resources

The website for this course is on UNSW Moodle.

The required textbook for this course is:

Black, K., et al. (2019), Business Analytics and Statistics, 1st Edition, Wiley (Print ISBN: 9780730363330, eText ISBN: 9780730355434 ISBN).

The required textbook can be purchased via the UNSW Bookshop (in print and digital version) and will also be available in the UNSW Library.

The following books, available in the High Use Collection section of the UNSW Library, may also be useful as alternative references.

  • Sharpe, DeVeaux and Velleman (2015), Business Statistics, 3rd Global Edition, Pearson (ISBN 978-1-292-05869-6). (You can purchase the e-book here)
  • Keller, G. (2015), Statistics for Management and Economics (Abbreviated), 10th Edition. South-Western Cengage Learning. (You can purchase the e-book here)
  • Berenson, M.L. et al. (2018), Basic Business Statistics. 5th Edition, Pearson. (You can purchase the e-book here)

6. Course Evaluation & Development

Feedback is regularly sought from students and continual improvements are made based on this feedback. At the end of this course, you will be asked to complete the myExperience survey, which provides a key source of student evaluative feedback. Your input into this quality enhancement process is extremely valuable in assisting us to meet the needs of our students and provide an effective and enriching learning experience. The results of all surveys are carefully considered and do lead to action towards enhancing educational quality.

​Feedback from T2 students has indicated that the Excel certification was greatly valued and thus it continues to be integrated in the course assessment this term. Students valued synchronous lectures in T2, and so in spite of the online-only lecture delivery format in T3, we continue to offer one lecture per week delivered synchronously. We also provide an opportunity for one-on-one feedback by allowing students to schedule personalised Zoom consultations with the lecturer in charge.

Consent for De-Identified Data to be Used for Secondary Research into Improving Student Experience

To enhance your student experience, researchers at UNSW conduct academic research that involves the use of de-identified student data, such as assessment outcomes, course grades, course engagement and participation, etc. Students of this course are being invited to provide their consent for their de-identified data to be shared with UNSW researchers for research purposes after the course is completed.

Providing consent for your de-identified data to be used in academic research is voluntary and not doing so will not have an impact on your course grades.

Researchers who want to access your de-identified data for future research projects will need to submit individual UNSW Ethics Applications for approval before they can access your data.

A full description of the research activities aims, risks associated with these activities and how your privacy and confidentiality will be protected at all times can be found here.

If you consent to have your de-identified data used for academic research into improving student experience, you do not need to do anything. Your consent will be implied, and your data may be used for research in a format that will not individually identify you after the course is completed.

If you do not consent for this to happen, please email the opt-out form to seer@unsw.edu.au to opt-out from having your de-identified data used in this manner. If you complete the opt-out form, the information about you that was collected during this course will not be used in academic research.

7. Course Schedule

Note: for more information on the UNSW academic calendar and key dates including study period, exam, supplementary exam and result release, please visit: https://student.unsw.edu.au/new-calendar-dates
Week Activity Topic Assessment/Other
Week 1: 14 SepLecture

Introduction; frequency distributions and histograms; shapes of distributions; describing bivariate relationships, measures of central tendency (location); dispersion measures (spread); measures of association; introduction to linear regression

Black Chapters 2 and 3

Week 2: 21 SepLecture

Introduction to probability, random variables; discrete probability distributions; expectations

Black Chapters 4 and 5

 

Tutorial

Introduction; frequency distributions and histograms; shapes of distributions; describing bivariate relationships, Measures of central tendency (location); dispersion measures (spread); measures of association; introduction to linear regression

Black Chapters 2 and 3

Week 3: 28 SepLecture

Continuous random variables; the normal distribution; introduction to surveys and sampling

Black Chapter 6

Tutorial

Introduction to probability, random variables; discrete probability distributions; expectations

Black Chapters 4 and 5

Assessment

Online Quiz 1 due by Sunday 11:59 pm

 

Submit a project charter for the case study this week.

Week 4: 5 OctLecture

Introduction to estimators and sampling distributions; confidence intervals; introduction to hypothesis testing; tests about the population proportion

Black Chapter 7

Tutorial

Continuous random variables; the normal distribution; introduction to surveys and sampling

Black Chapter 6

Assessment

Milestone 1 due Friday 11:59 pm

 

Week 5: 12 OctLecture

Central limit theorem; more on sampling distributions, hypothesis testing, and inference; tests about the population mean; tests when the population variance is unknown

Black Chapters 7, 8 and 9.1-9.5

Tutorial

Introduction to estimators and sampling distributions; confidence intervals; introduction to hypothesis testing; tests about the population proportion

Black Chapter 7

 

 

Assessment

Excel Certification Specialist Test: To be completed by Friday.

Week 6: FLEXIBILITY WEEK: 19 OctLecture

No lectures this week.

Tutorial

No tutorials this week.

Week 7: 26 OctLecture

More on confidence intervals; errors in hypothesis testing; p-values; power and sample size; Chi-squared tests

Black Chapters 9.5-9.7 and 12

 

Tutorial

Central limit theorem; more on sampling distributions, hypothesis testing, and inference; tests about the population mean; tests when the population variance is unknown

Black Chapters 7, 8 and 9.1-9.5

 

Assessment

 

 

Online Quiz 2 due by Sunday 11:59 pm

Week 8: 2 NovLecture

Simple linear regression; the least squares method; basic assumptions; R-squared; Inference about the regression line; errors and residuals; introduction to multiple regression

Black Chapter 13

Tutorial

More on confidence intervals; errors in hypothesis testing; p-values; power and sample size; Chi-squared tests

Black Chapters 9.5-9.7 and 12

Week 9 : 9 NovLecture

Multiple regression, continued; review

Black Chapter 14

Tutorial

Simple linear regression; the least squares method; basic assumptions; R-squared; Inference about the regression line; errors and residuals; introduction to multiple regression

Black Chapter 13

Assessment

Milestone 2 due Friday 11:59 pm

Self-Reflection due Friday 11:59 pm

 

Week 10: 16 NovLecture

Black Chapter 14

Tutorial

Multiple regression, continued; review

Black Chapter 14

 

Assessment

Excel Certification Expert Test: To be completed by Friday 11:59 pm

Online Quiz 3 due by Sunday 11:59 pm

Week beginning: 30 NovAssessment

Milestone 3 due Monday Nov 30th, 11:59 pm

8. Policies and Support

Information about UNSW Business School protocols, University policies, student responsibilities and education quality and support.

Program Learning Outcomes

The Business School places knowledge and capabilities at the core of its curriculum via seven Program Learning Outcomes (PLOs). These PLOs are systematically embedded and developed across the duration of all coursework programs in the Business School.

PLOs embody the knowledge, skills and capabilities that are taught, practised and assessed within each Business School program. They articulate what you should know and be able to do upon successful completion of your degree.

Upon graduation, you should have a high level of specialised business knowledge and capacity for responsible business thinking, underpinned by ethical professional practice. You should be able to harness, manage and communicate business information effectively and work collaboratively with others. You should be an experienced problem-solver and critical thinker, with a global perspective, cultural competence and the potential for innovative leadership.

All UNSW programs and courses are designed to assess the attainment of program and/or course level learning outcomes, as required by the UNSW Assessment Design Procedure. It is important that you become familiar with the Business School PLOs, as they constitute the framework which informs and shapes the components and assessments of the courses within your program of study.

PLO 1: Business knowledge

Students will make informed and effective selection and application of knowledge in a discipline or profession, in the contexts of local and global business.

PLO 2: Problem solving

Students will define and address business problems, and propose effective evidence-based solutions, through the application of rigorous analysis and critical thinking.

PLO 3: Business communication

Students will harness, manage and communicate business information effectively using multiple forms of communication across different channels.

PLO 4: Teamwork

Students will interact and collaborate effectively with others to achieve a common business purpose or fulfil a common business project, and reflect critically on the process and the outcomes.

PLO 5: Responsible business practice

Students will develop and be committed to responsible business thinking and approaches, which are underpinned by ethical professional practice and sustainability considerations.

PLO 6: Global and cultural competence

Students will be aware of business systems in the wider world and actively committed to recognise and respect the cultural norms, beliefs and values of others, and will apply this knowledge to interact, communicate and work effectively in diverse environments.

PLO 7: Leadership development

Students will develop the capacity to take initiative, encourage forward thinking and bring about innovation, while effectively influencing others to achieve desired results.

These PLOs relate to undergraduate and postgraduate coursework programs.  Separate PLOs for honours and postgraduate research programs are included under 'Related Documents'.

Business School course outlines provide detailed information for students on how the course learning outcomes, learning activities, and assessment/s contribute to the development of Program Learning Outcomes.

RELATED DOCUMENTS

 

UNSW Graduate Capabilities

The Business School PLOs also incorporate UNSW graduate capabilities, a set of generic abilities and skills that all students are expected to achieve by graduation. These capabilities articulate the University’s institutional values, as well as future employer expectations.

UNSW Graduate CapabilitiesBusiness School PLOs
Scholars capable of independent and collaborative enquiry, rigorous in their analysis, critique and reflection, and able to innovate by applying their knowledge and skills to the solution of novel as well as routine problems.
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 4: Teamwork
  • PLO 7: Leadership development

Entrepreneurial leaders capable of initiating and embracing innovation and change, as well as engaging and enabling others to contribute to change
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 4: Teamwork
  • PLO 6: Global and cultural competence
  • PLO 7: Leadership development

Professionals capable of ethical, self-directed practice and independent lifelong learning
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 5: Responsible business practice

Global citizens who are culturally adept and capable of respecting diversity and acting in a socially just and responsible way.
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 4: Teamwork
  • PLO 5: Responsible business practice
  • PLO 6: Global and cultural competence

While our programs are designed to provide coverage of all PLOs and graduate capabilities, they also provide you with a great deal of choice and flexibility.  The Business School strongly advises you to choose a range of courses that assist your development against the seven PLOs and four graduate capabilities, and to keep a record of your achievements as part of your portfolio. You can use a portfolio as evidence in employment applications as well as a reference for work or further study. For support with selecting your courses contact the UNSW Business School Student Centre.




Academic Integrity and Plagiarism

Academic Integrity is honest and responsible scholarship. This form of ethical scholarship is highly valued at UNSW. Terms like Academic Integrity, misconduct, referencing, conventions, plagiarism, academic practices, citations and evidence based learning are all considered basic concepts that successful university students understand. Learning how to communicate original ideas, refer sources, work independently, and report results accurately and honestly are skills that you will be able to carry beyond your studies.

The definition of academic misconduct is broad. It covers practices such as cheating, copying and using another person’s work without appropriate acknowledgement. Incidents of academic misconduct may have serious consequences for students.

Plagiarism

UNSW regards plagiarism as a form of academic misconduct. UNSW has very strict rules regarding plagiarism. Plagiarism at UNSW is using the words or ideas of others and passing them off as your own. All Schools in the Business School have a Student Ethics Officer who will investigate incidents of plagiarism and may result in a student’s name being placed on the Plagiarism and Student Misconduct Registers.

Below are examples of plagiarism including self-plagiarism:

Copying: Using the same or very similar words to the original text or idea without acknowledging the source or using quotation marks. This includes copying materials, ideas or concepts from a book, article, report or other written document, presentation, composition, artwork, design, drawing, circuitry, computer program or software, website, internet, other electronic resource, or another person's assignment, without appropriate acknowledgement of authorship.

Inappropriate Paraphrasing: Changing a few words and phrases while mostly retaining the original structure and/or progression of ideas of the original, and information without acknowledgement. This also applies in presentations where someone paraphrases another’s ideas or words without credit and to piecing together quotes and paraphrases into a new whole, without appropriate referencing.

Collusion: Presenting work as independent work when it has been produced in whole or part in collusion with other people. Collusion includes:

  • Students providing their work to another student before the due date, or for the purpose of them plagiarising at any time
  • Paying another person to perform an academic task and passing it off as your own
  • Stealing or acquiring another person’s academic work and copying it
  • Offering to complete another person’s work or seeking payment for completing academic work

Collusion should not be confused with academic collaboration (i.e., shared contribution towards a group task).

Inappropriate Citation: Citing sources which have not been read, without acknowledging the 'secondary' source from which knowledge of them has been obtained.

Self-Plagiarism: ‘Self-plagiarism’ occurs where an author republishes their own previously written work and presents it as new findings without referencing the earlier work, either in its entirety or partially. Self-plagiarism is also referred to as 'recycling', 'duplication', or 'multiple submissions of research findings' without disclosure. In the student context, self-plagiarism includes re-using parts of, or all of, a body of work that has already been submitted for assessment without proper citation.

To see if you understand plagiarism, do this short quiz: https://student.unsw.edu.au/plagiarism-quiz

Cheating

The University also regards cheating as a form of academic misconduct. Cheating is knowingly submitting the work of others as their own and includes contract cheating (work produced by an external agent or third party that is submitted under the pretences of being a student’s original piece of work). Cheating is not acceptable at UNSW.

If you need to revise or clarify any terms associated with academic integrity you should explore the 'Working with Academic Integrity' self-paced lessons available at: https://student.unsw.edu.au/aim.

For UNSW policies, penalties, and information to help you avoid plagiarism see: https://student.unsw.edu.au/plagiarism as well as the guidelines in the online ELISE tutorials for all new UNSW students: http://subjectguides.library.unsw.edu.au/elise. For information on student conduct see: https://student.unsw.edu.au/conduct.

For information on how to acknowledge your sources and reference correctly, see: https://student.unsw.edu.au/referencing. If you are unsure what referencing style to use in this course, you should ask the lecturer in charge.


Student Responsibilities and Conduct

​Students are expected to be familiar with and adhere to university policies in relation to class attendance and general conduct and behaviour, including maintaining a safe, respectful environment; and to understand their obligations in relation to workload, assessment and keeping informed.

Information and policies on these topics can be found on the 'Managing your Program' website.

Workload

It is expected that you will spend at least ten to twelve hours per week studying for a course except for Summer Term courses which have a minimum weekly workload of twenty to twenty four hours. This time should be made up of reading, research, working on exercises and problems, online activities and attending classes. In periods where you need to complete assignments or prepare for examinations, the workload may be greater. Over-commitment has been a cause of failure for many students. You should take the required workload into account when planning how to balance study with employment and other activities.

We strongly encourage you to connect with your Moodle course websites in the first week of semester. Local and international research indicates that students who engage early and often with their course website are more likely to pass their course.

View more information on expected workload

Attendance

Your regular and punctual attendance at lectures and seminars or in online learning activities is expected in this course. The Business School reserves the right to refuse final assessment to those students who attend less than 80% of scheduled classes where attendance and participation is required as part of the learning process (e.g., tutorials, flipped classroom sessions, seminars, labs, etc.).

View more information on attendance

General Conduct and Behaviour

You are expected to conduct yourself with consideration and respect for the needs of your fellow students and teaching staff. Conduct which unduly disrupts or interferes with a class, such as ringing or talking on mobile phones, is not acceptable and students may be asked to leave the class.

View more information on student conduct

Health and Safety

UNSW Policy requires each person to work safely and responsibly, in order to avoid personal injury and to protect the safety of others.

View more information on Health and Safety

Keeping Informed

You should take note of all announcements made in lectures, tutorials or on the course web site. From time to time, the University will send important announcements to your university e-mail address without providing you with a paper copy. You will be deemed to have received this information. It is also your responsibility to keep the University informed of all changes to your contact details.



Student Support and Resources

​The University and the Business School provide a wide range of support services and resources for students, including:

Business School EQS Consultation Program
The Consultation Program offers academic writing, literacy and numeracy consultations, study skills, exam preparation for Business students. Services include workshops, online resources, individual and group consultations. 
Level 1, Room 1035, Quadrangle Building.
BUS.EQS.Consultations@unsw.edu.au
02 9385 4508

Communication Resources
The Business School Communication and Academic Support programs provide online modules, communication workshops and additional online resources to assist you in developing your academic writing.

Business School Student Centre
The Business School Student Centre provides advice and direction on all aspects of admission, enrolment and graduation.
Level 1, Room 1028 in the Quadrangle Building
02 9385 3189

UNSW Learning & Careers Hub
The UNSW Learning & Careers Hub provides academic skills and careers support services—including workshops, individual consultations and a range of online resources—for all UNSW students. See their website for details.
Lower Ground Floor, North Wing Chancellery Building.
learningcentre@unsw.edu.au
02 9385 2060

Student Support Advisors
Student Support Advisors work with all students to promote the development of skills needed to succeed at university, whilst also providing personal support throughout the process.
John Goodsell Building, Ground Floor.
advisors@unsw.edu.au
02 9385 4734

International Student Support
The International Student Experience Unit (ISEU) is the first point of contact for international students. ISEU staff are always here to help with personalised advice and information about all aspects of university life and life in Australia.
Advisors can support you with your student visa, health and wellbeing, making friends, accommodation and academic performance.
International.student@unsw.edu.au
02 9385 4734

Equitable Learning Services
Equitable Learning Services (formerly Disability Support Services) is a free and confidential service that provides practical support to ensure that your health condition doesn't adversely affect your studies. Register with the service to receive educational adjustments.
Ground Floor, John Goodsell Building.
els@unsw.edu.au
02 9385 4734

UNSW Counselling and Psychological Services
Provides support and services if you need help with your personal life, getting your academic life back on track or just want to know how to stay safe, including free, confidential counselling.
Level 2, East Wing, Quadrangle Building.
counselling@unsw.edu.au
02 9385 5418

Library services and facilities for students
The UNSW Library offers a range of collections, services and facilities both on-campus and online.
Main Library, F21.
02 9385 2650

Moodle eLearning Support
Moodle is the University’s learning management system. You should ensure that you log into Moodle regularly.
externalteltsupport@unsw.edu.au
02 9385 3331

UNSW IT
UNSW IT provides support and services for students such as password access, email services, wireless services and technical support.
UNSW Library Annexe (Ground floor).
02 9385 1333



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ECON1203