Handbook

ECON10005 Quantitative Methods 1

Credit Points: 12.5
Level: 1 (Undergraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2017:

Semester 1, Parkville - Taught on campus.Show/hide details
Pre-teaching Period Start not applicable
Teaching Period 27-Feb-2017 to 28-May-2017
Assessment Period End 23-Jun-2017
Last date to Self-Enrol 10-Mar-2017
Census Date 31-Mar-2017
Last date to Withdraw without fail 05-May-2017

Semester 2, Parkville - Taught on campus.Show/hide details
Pre-teaching Period Start not applicable
Teaching Period 24-Jul-2017 to 22-Oct-2017
Assessment Period End 17-Nov-2017
Last date to Self-Enrol 04-Aug-2017
Census Date 31-Aug-2017
Last date to Withdraw without fail 22-Sep-2017


Timetable can be viewed here.
For information about these dates, click here.
Time Commitment: Contact Hours: Two 1-hour lectures and a 1-hour tutorial per week
Total Time Commitment:

170 hours per semester

Prerequisites:

A study score of at least 25 in English (any) or equivalent and Mathematical Methods in VCE Units 3 & 4 or equivalent.

OR

Entry into the Bachelor of Commerce.

OR

Successful completion of

Subject
Study Period Commencement:
Credit Points:
Summer Term, Semester 1
12.50
Corequisites: None
Recommended Background Knowledge:

Please refer to Prerequisites and Corequisites.

Non Allowed Subjects:

Students completing ECON10005 Quantitative Methods 1 may not gain credit for MAST10010 Data Analysis 1 or MAST10011 Experimental Design and Data Analysis.

Students who have completed MAST20005 Statistics will not be permitted to enrol in this subject.

Students intending to major in Actuarial Studies should not enrol in this subject.

Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability

Coordinator

Assoc Prof Liana Jacobi, Dr Wasana Karunarathne, Prof David Harris

Contact

Sem 1: harris.d@unimelb.edu.au, lakminik@unimelb.edu.au

Sem 2: ljacobi@unimelb.edu.au

Subject Overview:

This subject covers the core concepts which underpin quantitative decision analysis in the various specialisations within the faculty. It provides a foundation for all second-year quantitative subjects in the commerce degree. The topics covered are drawn from financial mathematics; measures of location and dispersion; probability, random variables and expected values; sampling design; estimation and testing using the normal and t-distribution; and simple regression and correlation. Excel is used to illustrate applications in accounting, economics, finance, management and marketing.

Learning Outcomes:
  • Graph economic data using methods that facilitate analysis.
  • Explain concepts relevant for summarising and interpreting data.
  • Explain how the concepts of random variables and probability distributions are useful for drawing inferences.
  • Explain the concepts of population, samples and sampling distributions.
  • Estimate unknown population quantities and test hypotheses about them.
  • Conduct simple regression analysis to model the relationship between variables and draw inferences about relationships.
  • Apply common analytical techniques relevant for financial decision making.
Assessment:
  • A 45-minute online test, in week 5, (5%)
  • Assignment 1: Quantitative data analysis assignment, not exceeding 8 pages (inluding graphs, charts and equations), due in week 6, (7.5%)
  • Assignment 2: Quantitative data analysis assignment, not exceeding 8 pages (inluding graphs, charts and equations), due in week 10, (7.5%)
  • A 2-hour end-of-semester examination, end-of-semester, (70%)
  • Preparation work for and attendance of weekly tutorials, weeks 2 - 12, (10%)
  • To pass this subject students must pass the end of semester examination.
Prescribed Texts:

You will be advised of prescribed texts by your lecturer.

Breadth Options:

This subject potentially can be taken as a breadth subject component for the following courses:

You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:
  • High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; use of computer software; accessing data and other information from a range of sources.

  • Moderate level of development: oral communication; written communication; critical thinking; receptiveness to alternative ideas.

  • Some level of development: collaborative learning; team work.

Related Majors/Minors/Specialisations: Economics
Related Breadth Track(s): Quantitative Methods in Economics

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