INTRODUCTION TO QUANTITATIVE ANALYSIS

ECO2IQA

2020

Credit points: 15

Subject outline

In Quantitative Analysis, you will understand how to use and interpret mathematical tools along with their various applications in economics, finance and business. You will learn about number systems, functions, linear equations, non-linear equations, linear algebra, univariate differential calculus, multivariate differential calculus, unconstrained optimisation and equality-constrained optimisation; with each illustrated using applications from economics, finance and business studies. You will have studied some mathematics at VCE (or equivalent) and be confident in applying that mathematics.

School: La Trobe Business School (Pre 2022)

Credit points: 15

Subject Co-ordinator: Joanna Poyago-Theotoky

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 2 - UG

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: N/A

Co-requisites: N/A

Incompatible subjects: ECO1IQN

Equivalent subjects: ECO1IQN

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: If you have not done VCE Maths then it is advised to seek some additional tutorial support to succeed in this subject.

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

Essential mathematics for economics and business

Resource Type: Book

Resource Requirement: Prescribed

Author: Bradley, Teresa

Year: 2013

Edition/Volume: fourth edition

Publisher: JOHN WILEY AND SONS GREAT BRITAIN

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

DISCIPLINE KNOWLEDGE AND SKILLS

INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

Intended Learning Outcomes

01. Demonstrate proficiency with functions such as the exponential and polynomial

02. Solve and manipulate equations and systems of equations

03. Solve systems of linear equations using matrices and determinants

04. Use derivative calculus (partial and total derivatives, rules of differentiation, higher order derivatives to solve problems involving both univariate and multivariate functions

05. Be proficient in optimization theory to solve both unconstrained and constrained optimization problems

Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Joanna Poyago-Theotoky

Class requirements

LectureWeek: 10 - 22
One 2.00 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

TutorialWeek: 11 - 22
One 1.00 hour tutorial per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
One 3-hour final examination2,500 word equivalent	N/A	N/A	N/A	No	60	SILO1, SILO2, SILO3, SILO4, SILO5
One assignment1,500 word equivalent	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3
Tutorial attendance/participation500 word equivalent	N/A	N/A	N/A	No	10	SILO1, SILO2, SILO3, SILO4, SILO5