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MAF900 - Advanced Data Methods

Year:

2024 unit information

Enrolment modes:Trimester 2: Burwood (Melbourne)
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 2: Saikat Sovan Deb
Cohort rule:This unit is only available to students enrolled in M820, M900
Prerequisite:

For students enrolled in M820: MAE900

For students enrolled in M900: Nil

Corequisite:Nil
Incompatible with: Nil
Typical study commitment:

Students will on average, spend 150 hours over the trimester undertaking the teaching, learning and assessment activities for this unit. This will include a minimum of 33 hours (11 x 3 hr) of intensive classroom activities. 

This will include educator guided online learning activities within the unit site.

Educator-facilitated (scheduled) learning activities - on-campus unit enrolment:

1 x 1 hour on-campus lecture (recordings provided) and 1 x 2 hour seminar (recordings provided) each week  

Content

This is an application oriented empirical research methods unit for first-year students of Master of Research program. This unit reviews the process /components of empirical research, focuses on understanding and managing data for research. Using multiple mini empirical projects - it explores descriptive and predictive models of statistics and econometrics; through guided research projects deals with various methodological data issues such as selection bias, endogeneity and multiple hypothesis testing. 

ULO These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: Deakin Graduate Learning Outcomes
ULO1 Conduct empirical research drawing on discipline-specific knowledge and capabilities.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
ULO2

Disseminate research ideas orally and writing.

 GLO2: Communication
ULO3 Collect, process and manage data for empirical research. 

GLO3: Digital literacy
GLO5: Problem solving
ULO4 Apply statistical and econometrical skills. 

GLO3: Digital literacy
GLO5: Problem solving
ULO5 Identify and apply appropriate empirical research methods.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO5: Problem solving

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)		 Indicative due week

Assessment 1: (Individual)

Part A: In-class Oral Presentation

Part B: Project Proposal

 

Part A: 10 minutes

Part B: 1000 words (max)

 

Total 20% (10% each)

 

Week 4
Assessment 2: (Individual) Report (Research) with data analysis and coding 3000 words 30% Week 8
Assessment 3: (Group of 3) Data Driven Project: data collection, coding, analysis 3000 words 50% Week 3 to Week 9

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: MAF900 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.

Unit Fee Information

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