CECS Professional Skills Mapping

STAT1008 — Quantitative Research Methods

Note: information provided here is indicative only. For full and current course information view the official page on P&C.

code:	STAT1008
name:	Quantitative Research Methods
unit value:	6
P&C:	https://programsandcourses.anu.edu.au/course/STAT1008
course learning outcomes:	Compare and contrast different sampling methodologies and assess suitability for a range of situations; discuss issues with choice of sampling method; sampling vs nonsampling errors; sample vs census choice Discuss different types of variables and produce appropriate graphical and numerical descriptive statistics Understand and apply probability rules and concepts relating to discrete and continuous random variables, including univariate and bivariate distributions and some specific probability density functions, concepts of expectation, variance, correlation and portfolio construction Understand the importance of the Central Limit Theorem and its uses and applications; judging appropriate conditions for its application; use the CLT to find probabilities associated with a range of values for a sample average; sample size determination Consider concepts of estimation — point and interval estimators, unbiasedness and consistency, calculation and interpretation of confidence intervals for a range of situations Perform and interpret hypothesis tests for a range of situations, identifying the situation at hand and assessing whether assumptions are met; discuss types of errors, significance, p-values, make appropriate conclusions with regards to decision making Perform and interpret simple and multiple linear regressions, assessing suitability of the model for the data type and situation; apply and interpret simple time series models
assessment:	Typical assessment may include, but is not restricted to: quizzes, assignments and a final exam (100%)

Mapped learning outcomes

learning outcome	1. KNOWLEDGE AND SKILL BASE						2. ENGINEERING APPLICATION ABILITY				3. PROFESSIONAL AND PERSONAL ATTRIBUTES						assessment tasks
learning outcome	1.1	1.2	1.3	1.4	1.5	1.6	2.1	2.2	2.3	2.4	3.1	3.2	3.3	3.4	3.5	3.6	1
Compare and contrast different sampling methodologies and assess suitability for a range of situations; discuss issues with choice of sampling method; sampling vs nonsampling errors; sample vs census choice	✓	✓												✓			✓
Discuss different types of variables and produce appropriate graphical and numerical descriptive statistics		✓										✓		✓			✓
Understand and apply probability rules and concepts relating to discrete and continuous random variables, including univariate and bivariate distributions and some specific probability density functions, concepts of expectation, variance, correlation and portfolio construction	✓	✓													✓		✓
Understand the importance of the Central Limit Theorem and its uses and applications; judging appropriate conditions for its application; use the CLT to find probabilities associated with a range of values for a sample average; sample size determination	✓	✓	✓												✓		✓
Consider concepts of estimation — point and interval estimators, unbiasedness and consistency, calculation and interpretation of confidence intervals for a range of situations		✓													✓		✓
Perform and interpret hypothesis tests for a range of situations, identifying the situation at hand and assessing whether assumptions are met; discuss types of errors, significance, p-values, make appropriate conclusions with regards to decision making	✓	✓										✓		✓	✓		✓
Perform and interpret simple and multiple linear regressions, assessing suitability of the model for the data type and situation; apply and interpret simple time series models	✓	✓	✓												✓		✓

Course contribution towards the Engineers Australia Stage 1 Competency Standard

This table depicts the relative contribution of this course towards the Engineers Australia Stage 1 Competency Standard. Note that this illustration is indicative only, and may not take into account any recent changes to the course. You are advised to review the official course page on P&C for current information..

1. KNOWLEDGE AND SKILL BASE
1.1
1.2
1.3
1.4
1.5
1.6
2. ENGINEERING APPLICATION ABILITY
2.1
2.2
2.3
2.4
3. PROFESSIONAL AND PERSONAL ATTRIBUTES
3.1
3.2
3.3
3.4
3.5
3.6

Engineers Australia Stage 1 Competency Standard — summary

1. KNOWLEDGE AND SKILL BASE
✓	1.1	Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
✓	1.2	Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
✓	1.3	In depth understanding of specialist bodies of knowledge within the engineering discipline.
	1.4	Discernment of knowledge development and research directions within the engineering discipline.
	1.5	Knowledge of contextual factors impacting the engineering discipline.
	1.6	Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the engineering discipline.
2. ENGINEERING APPLICATION ABILITY
	2.1	Application of established engineering methods to complex engineering problem solving.
	2.2	Fluent application of engineering techniques, tools and resources.
	2.3	Application of systematic engineering synthesis and design processes.
	2.4	Application of systematic approaches to the conduct and management of engineering projects.
3. PROFESSIONAL AND PERSONAL ATTRIBUTES
	3.1	Ethical conduct and professional accountability.
✓	3.2	Effective oral and written communication in professional and lay domains.
	3.3	Creative, innovative and pro-active demeanour.
✓	3.4	Professional use and management of information.
✓	3.5	Orderly management of self, and professional conduct.
	3.6	Effective team membership and team leadership.

Updated: 18 February 2021/ Responsible Officer: Dean, CECS/ Page Contact: CECS Academic Education Services