ECON1203 Business and Economic Statistics - 2018

Subject Code
ECON1203
Study Level
Undergraduate
Commencing Term
Semester 1
Total Units of Credit (UOC)
6
Delivery Mode
On Campus
School
Economics

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 business more generally. Emphasis is placed on applying statistical methods to draw inferences from sample data in order to inform 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 a 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

The Business School expects that you are familiar with the contents of this course outline and the UNSW and Business School learning expectations, rules, policies and support services as listed below:

  • Program Learning Goals and Outcomes
  • Academic Integrity and Plagiarism
  • Student Responsibilities and Conduct
  • Special Consideration
  • Protocol for Viewing Final Exam Scripts
  • Student Learning Support Services

View course Policies and 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 all 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 and Mathematics Extension 1, 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 ECON 1203 lectures or tutorials.

A Maths Skills Test has been designed to evaluate the adequacy of your basic quantitative skills for this course. This test is available on the course website and all students should attempt the test to reflect on whether they need additional help. Students with the appropriate background will find the test straightforward. If this is not the case for you, and your results make you feel that you require some assistance, then there are at least two options. (1) You may wish to engage in some self-directed study, in which case we recommend you purchase the following book available at the UNSW bookshop: Managing Mathematics: A Refresher Course for Economics and Commerce Students, by Judith Watson, 2nd edition, 2002. (2) UNSW in conjunction with Randwick TAFE is offering a course, Essential Mathematics for Higher Education, that provides instruction in the mathematical tools required for this course. For further details, go to SydneyTafe.

Student Learning Outcomes

The Course Learning Outcomes are what you should be able to DO by the end of this course if you participate fully in learning activities and successfully complete the assessment items.

The Learning Outcomes in this course also help you to achieve some of the overall Program Learning Goals and Outcomes for all undergraduate and postgraduate coursework students in the Business School. Program Learning Goals are what we want you to BE or HAVE by the time you successfully complete your degree (e.g. ‘be an effective team player’). You demonstrate this by achieving specific Program Learning Outcomes - what you are able to DO by the end of your degree (e.g. ‘participate collaboratively and responsibly in teams’).

For more information on Program Learning Goals and Outcomes, refer to the course Policies and Support.

The following table shows how your Course Learning Outcomes relate to the overall Program Learning Goals and Outcomes, and indicates where these are assessed (they may also be developed in tutorials and other activities):

Program Learning Goals and Outcomes Course Learning Outcomes Course Assessment Item
This course helps you to achieve the following learning goals for all Business undergraduate/postgraduate coursework students:

On successful completion of the course, you should be able to:

This learning outcome will be assessed in the following items:

1 - Knowledge

Explain basic statistical methods and know when to apply appropriate methods in practical scenarios.

Employ statistical tools and skills to interpret characteristics of data relevant to problems in economics and business.

Independently use Excel’s graphical and statistical capabilities.

  • Project
  • Online quizzes
  • Final exam
2 - Critical thinking and problem solving

Formulate and solve real problems amenable to statistical analysis using data that arise in economics and business, using methods appropriate to the problem and data available.

  • Project
  • Online quizzes
  • Final exam
3a - Written communication

Construct written work which is logically and professionally presented.

Convey statistical ideas and results so that non-experts can understand the key outcomes of analysis.

  • Project
  • Final exam
3b - Oral communication

Articulate statistical concepts and interpretations.

  • Not specifically assessed in this course
4 - Teamwork

Work collaboratively to complete a task.

  • Project
5a - Ethical, social and environmental responsibility

Identify and assess environmental and/or health considerations when they arise in problems in economics and business.

Explain and demonstrate the ethical responsibilities associated with reporting statistical results.

  • Project
  • Online quizzes
  • Final exam
5b - Social and cultural awareness

Formulate economic and business interactions in analytical terms and analyse them using tools provided by the theory.

  • Project

2. Staff Contact Details

Position Title Name Email Location Phone Consultation Times
Lecturer-in-chargeDrJonathan LimRoom 4099385 0121
–
LecturerDrMichele De NadaiRoom 4329385 3367TBC
LecturerDrRoom 447
–
–
Tutor-in-chargeMsLee Lee OoiRoom 4639385 3565
–

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 your lecturer(s) 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.

Peer Assistance Support Scheme (PASS) and Exam-Period Pitstop

PASS is a scheme introduced in the Business School to help undergraduates make the transition from secondary school to first year at University. The scheme consists of study groups run by second and third year students which students enrolled in this course are able to join on a voluntary basis. Many students have found PASS helpful as it provides both extra problems for practice and advice from experienced students. It also provides an informal atmosphere with the opportunity to ask any questions that students may be hesitant to ask staff.

All PASS classes will run for one hour each week, commencing in Week 3. More information, including the times and locations of PASS groups, will appear on the course website and in Week 2 lectures.

In the weeks leading up to final exams, starting from week 14, the School will be providing Pitstop, an opportunity for consultation with tutors as you revise for the exam. Details of Pitstop times and locations for this course will be advised closer to the time.

3. Learning and Teaching Activities

Approach to Learning and Teaching in the Course

​The philosophy underpinning this course and its Teaching and Learning Strategies are based on “Guidelines on Learning that Inform Teaching at UNSW. These guidelines may be viewed at: www.guidelinesonlearning.unsw.edu.au. Section 3.2 (below) provides more detail on Teaching and Learning Strategies for this course.

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 outcome.

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 emphasize and explain the important concepts and methods in each topic; and to provide initial examples to which the concepts and methods are applied.

Tutorials

Tutorials are an integral part of the course. Tutorial activities, including discussions and quizzes, build on the material discussed in lectures and are designed to help you deepen your understanding and practice working with the material.

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 MyStatLab 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 semester you must also complete five online quizzes, which are accessible via MyStatLab starting on Wednesday of the week prior to due date of the quiz. You are allowed two attempts at each fortnightly quiz.

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 week’s tutorial, attempt the tutorial questions and make your first attempt at the MyStatLab fortnightly online quiz. 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.
  • Make your second attempt at the MyStatLab fortnightly online quiz.

Computing

During this course, students will use the popular spreadsheet program Microsoft Excel to solve statistical problems. Excel output will be discussed in tutorials and lectures, and will be submitted as part of the course project (see below under Assessment). Computing is an integral component of ECON 1203, 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.

You will also find that you have been “enrolled” automatically in the Moodle website called Figuring It Out (Maths/Stats).  This site contains a number of specially selected online resources for you to explore to increase your understanding of topics in ECON 1203 and some additional related areas.

The required textbook for this course is:

  • Sharpe, DeVeaux and Velleman (2015), Business Statistics, 3rd Global Edition, Pearson (ISBN 978-1-292-05869-6).

This is a softcover grey-and-red coloured textbook, and is available for purchase in the UNSW bookshop or online. Alternatively, an electronic copy is available from the publisher.

Do not buy the “textbook bundle” that includes an access code to MyStatLab, as it will be more expensive than the standalone textbook. Your enrolment in this course comes complete with MyStatLab access already.

Copies of the textbook will be placed in the library’s High Use Collection (HUC). The publishers provide a range of excellent support material aligned with the textbook, which you can find by following the link to MyStatLab on the course website. A selection of this material will be suggested in the online homework activities each week, but there is much more to explore, including interactive applets, pre- and post-chapter tests, narrated videos, practice questions, and so on.

Students may find themselves able to acquire previous (3rd non-global or 2nd) editions of the textbook. These will cover the material of ECON 1203 quite adequately, but details such as page references, example numbers, and problem numbers may change from one edition to the next. If you use an earlier version of the textbook, it is your responsibility to check how, if at all, these references have changed.

The following books, available in the High Use Collection Section of the library, may also be useful as alternative references.

  • Keller, G. (2011), Statistics for Management and Economics (Abbreviated), 9th Edition. South-Western Cengage Learning.
  • Kenkel, J.L. (1996), Introductory Statistics for Management and Economics, 4th Edition. Duxbury Press.
  • Berenson, M.L. et al. (2009), Business Statistics. Pearson Prentice Hall.

6. Course Evaluation & Development

Each year feedback is sought from students and other stakeholders about the courses offered in the School and continual improvements are made based on this feedback. UNSW's myExperience Survey Tool is one of the ways in which student evaluative feedback is gathered. You are strongly encouraged to take part in the feedback process.

7. Course Schedule

Week 1: 26 Feb
Activity

Lecture

Topic

Introduction; frequency distributions and histograms; shapes of distributions; describing bivariate relationships

Assessment/Other

Sharpe Chapters 1 and 2

Week 2: 05 Mar
Activity

Lecture

Topic

Measures of central tendency (location); dispersion measures (spread); measures of association; introduction to linear regression

Assessment/Other

Sharpe Chapters 3 and 4

Week 3: 12 Mar
Activity

Lecture

Topic

Introduction to probability

Assessment/Other

Sharpe Chapter 5

Week 4: 19 Mar
Activity

Lecture

Topic

Random variables; discrete probability distributions; expectations

Assessment/Other

Sharpe Chapter 6

Week 5: 26 Mar
Activity

Lecture

Topic

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

Assessment/Other

Sharpe Chapters 7 and 8

Mid Semester Break: 02 Apr
Week 6: 09 Apr
Activity

Lecture

Topic

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

Assessment/Other

Sharpe Chapters 9 and 10

Week 7: 16 Apr
Activity

Lecture

Topic

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

Assessment/Other

Sharpe Chapter 11

Week 8: 23 Apr
Activity

Lecture

Topic

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

Assessment/Other

Sharpe Chapter 12

Week 9: 30 Apr
Activity

Lecture

Topic

Chi-squared tests

Assessment/Other

Sharpe Chapter 14

Week 10: 07 May
Activity

Lecture

Topic

Simple linear regression; the least squares method; basic assumptions; R-squared

Assessment/Other

Sharpe Chapter 15

Week 11: 14 May
Activity

Lecture

Topic

Inference about the regression line; errors and residuals; introduction to multiple regression

Assessment/Other

Sharpe Chapters 16 and 17

Project Submission this Week

Week 12: 21 May
Activity

Lecture

Topic

Multiple regression, continued; review

Assessment/Other

Sharpe Chapter 18

8. Policies

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

Program Learning Goals and Outcomes

The Business School Program Learning Goals reflect what we want all students to BE or HAVE by the time they successfully complete their degree, regardless of their individual majors or specialisations. For example, we want all our graduates to HAVE a high level of business knowledge and a sound awareness of ethical, social, cultural and environmental implications of business. As well, we want all our graduates to BE effective problem-solvers, communicators and team participants.

You can demonstrate your achievement of these goals by the specific outcomes you achieve by the end of your degree (i.e. Program Learning Outcomes—henceforth PLOs). These PLOs articulate what you need to know and be able to do as a result of engaging in learning. They embody the knowledge, skills and capabilities that are identified, mapped, taught, practised and assessed within each Business School program.

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

Program Learning Outcomes

  • Undergraduate
  • Postgraduate Coursework
Knowledge You should be able to identify and apply disciplinary knowledge to business situations in a local and global environment.
Critical thinking and problem solving You should be able to identify and research issues in business situations, analyse the issues, and propose appropriate and well-justified solutions.
Written communication You should be able to prepare written documents that are clear, concise and coherent, using appropriate style and presentation for the intended audience, purpose and context.
Oral communication You should be able to prepare and deliver oral presentations that are clear, focussed, well-structured, and delivered in a professional manner.
Teamwork You should be able to participate collaboratively and responsibly in teams, and reflect on your own teamwork, and on the team’s processes and ability to achieve outcomes.
Ethical, social and environmental responsibility
  1. You should be able to identify and assess ethical, environmental and/or sustainability considerations in business decision-making and practice.
  2. You should be able to identify social and cultural implications of business.
Workplace skills (Co-op programs only) You should be able to conduct yourself in a professional manner in the work environment, communicate effectively in diverse workplace situations and be able to apply discipline knowledge and understanding to real business problems with initiative and self-direction.
Related PLO Documents View the Undergraduate Honours PLOs (pdf)
Knowledge You should be able to identify and apply current knowledge of disciplinary or interdisciplinary theory and professional practice to business in local and global environments.
Critical thinking and problem solving You should be able to identify, research and analyse complex issues and problems in business and/or management, and propose appropriate and well-justified solutions.
Written communication You should be able to produce written documents that communicate complex disciplinary ideas and information effectively for the intended audience and purpose.
Oral communication You should be able to produce oral presentations that communicate complex disciplinary ideas and information effectively for the intended audience and purpose.
Teamwork You should be able to participate collaboratively and responsibly in teams, and reflect on your own teamwork, and on the team’s processes and ability to achieve outcomes.
Ethical, social and environmental responsibility
  1. You should be able to identify and assess ethical, environmental and/or sustainability considerations in business decision-making and practice.
  2. You should be able to identify social and cultural implications of business.
Related PLO Documents View the Master of Philosophy PLOs (pdf)
 View the Doctor of Philosophy PLOs (pdf)

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.
  • Critical thinking and problem solving
  • Knowledge
  • Oral communication
  • Research capability
  • Teamwork
  • Workplace skills
  • Written communication
Entrepreneurial leaders capable of initiating and embracing innovation and change, as well as engaging and enabling others to contribute to change
  • Critical thinking and problem solving
  • Knowledge
  • Oral communication
  • Workplace skills
  • Written communication
Professionals capable of ethical, self- directed practice and independent lifelong learning
  • Ethical, social and environmental responsibility
  • Workplace skills
Global citizens who are culturally adept and capable of respecting diversity and acting in a socially just and responsible way.
  • Ethical, social and environmental responsibility
  • Oral communication
  • Written communication

The Business School strongly advises you to choose a range of courses that assist your development against these PLOs and graduate capabilities, and to keep a record of your achievements as part of your portfolio. You could use these records 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 nine to ten hours per week studying for a course except for Summer Term courses which have a minimum weekly workload of eighteen to twenty 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.

Special Consideration

You must submit all assignments and attend all examinations scheduled for your course. You can apply for special consideration when illness or other circumstances beyond your control, interfere with your performance in a specific assessment task or tasks. Special Consideration is primarily intended to provide you with an extra opportunity to demonstrate the level of performance of which you are capable.

General information on special consideration for undergraduate and postgraduate courses can be found in the Assessment Implementation Procedure and the Current Students page.

Please note the following:

  1. Applications will not be accepted by teaching staff. The lecturer-in-charge will be automatically notified when you lodge an online application for special consideration
  2. Decisions and recommendations are only made by lecturers-in-charge (or by the Faculty Panel in the case of final exam special considerations), not by tutors
  3. Applying for special consideration does not automatically mean that you will be granted a supplementary exam or other concession
  4. Special consideration requests do not allow lecturers-in-charge to award students additional marks

Business School Protocol on requests for Special Consideration

The lecturer-in-charge will need to be satisfied on each of the following before supporting a request for special consideration:

  1. Does the medical certificate contain all relevant information? For a medical certificate to be accepted, the degree of illness and its impact on the student must be stated by the medical practitioner (severe, moderate, mild). A certificate without this will not be valid. Students should also note that only medical certificates issued after physically visiting a registered medical practitioner will be accepted. Medical certificates submitted for Special Consideration should always be requested from a registered medical practitioner that you have seen at a medical practice. Certificates obtained online or via social media may be fraudulent and if relied upon could result in a breach of the UNSW Student Code.
  2. Has the student performed satisfactorily in the other assessment items? To understand what Satisfactory Performance means in this course, please refer to the 'Formal Requirements' section in Part A of your Course Outline

Special Consideration and the Final Exam in undergraduate and postgraduate courses

Applications for special consideration in relation to the final exam are considered by a Business School Faculty panel to which lecturers-in-charge provide their recommendations for each request. If the Faculty panel grants a special consideration request, this will entitle the student to sit a supplementary examination. No other form of consideration will be granted. The following procedures will apply:

  1. Supplementary exams will be scheduled centrally and will be held approximately two weeks after the formal examination period.

    Supplementary exams for Semester 1, 2018 will be held during the period 14 - 21 July, 2018. Students wishing to sit a supplementary exam will need to be available during this period.

    The date for all Business School supplementary exams for Summer Term 2017/2018 is Wednesday, 21 February, 2018. If a student lodges a special consideration for the final exam, they are stating they will be available on this date. Supplementary exams will not be held at any other time.

  2. Where a student is granted a supplementary examination as a result of a request for special consideration, the student’s original exam (if completed) will be ignored and only the mark achieved in the supplementary examination will count towards the final grade. Absence from a supplementary exam without prior notification does not entitle the student to have the original exam paper marked, and may result in a zero mark for the final exam.

The Supplementary Exam Protocol for Business School students is available at: http://www.business.unsw.edu.au/suppexamprotocol

For special consideration for assessments other than the final exam refer to the ‘Assessment Section’ in your course outline.

Protocol for Viewing Final Exam Scripts

The UNSW Business School has set a protocol under which students may view their final exam script. Please check the protocol here.

Given individual schools within the Faculty may set up a local process for viewing final exam scripts, it is important that you check with your School whether they have any additional information on this process. Please note that this information might also be included in your course outline.


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

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 Centre
The UNSW Learning Centre provides academic skills support services, including workshops and resources, for all UNSW students. See their website for details.
Lower Ground Floor, North Wing Chancellery Building.
learningcentre@unsw.edu.au
02 9385 2060

Educational Support Service
Educational 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. Check their website to request an appointment or to register in the Academic Success Program.
John Goodsell Building, Ground Floor.
advisors@unsw.edu.au
02 9385 4734

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).
itservicecentre@unsw.edu.au
02 9385 1333

Disability Support Services
UNSW Disability Support Services provides assistance to students who are trying to manage the demands of university as well as a health condition, learning disability or who have personal circumstances that are having an impact on their studies. Disability Advisers can arrange to put in place services and educational adjustments to make things more manageable so that students are able to complete their course requirements. To receive educational adjustments for disability support, students must first register with Disability Services.
Ground Floor, John Goodsell Building.
disabilities@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


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ECON1203-2018-S1
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