ETC2420 / ETC5242 Statistical Thinking


Difficulty:

Year Completed: Semester 2, 2020

Prerequisite: ETC1000

(or ETB1100, or SCI1020, or ETW1001, or STA1010, or ETF1100, or FIT1006)

 

Exemption:

CS1 Actuarial Statistics

ETC1000 (25%), ETC2420 (25%), ETC2520 (35%), ETC3580 (15%)

CS2 Risk Modelling and Survival Analysis

ETC2420 (10%), ETC3420 (20%), ETC3430 (50%), ETC3550 (20%)

Weighted average of 70% required. Minimum of 60% required for each unit.

 


Mean Setu Score: 57.6%

 

Clarity of Learning Outcomes: 55.8%

Clarity of Assessments: 60%

Feedback: 54.8%

Resources: 52.4%

Engagement: 74.4%

Satisfaction: 47.4%


Subject Content:

Lecture(s) and Tutorial(s):

Textbook(s):

Assessments:

 

Unit topics included using R, randomization and simulation,

resampling techniques, maximum likelihood, discrete

probabilities, Bayesian statistics and linear regression models.

No lectures, only short weekly videos

1 x 2 hour workshop

The lecturer uploaded a free textbook to download, I found this

book to have some complicated concepts.

Weekly Pre-Workshop Quizzes

Workshop Activities

3 Group Assignments

Final Exam 45%


Comments

The content itself was interesting but was occasionally hard to

engage with. The content wasn't particularly challenging, however

there was a learning curve to R, especially if it was your first time

using it. The main challenge in this unit is getting used to the

medium and the way it is presented. Unlike most units, it actively

engages in flipped learning. In combination with the delays in the

year it certainly made this model harder to work with.

The weekly videos were good as they were short and to the

point. Lectures were not particularly riveting, I found however

paying attention to the slides actually quite useful and time

efficient There was a lab worksheet, and we were put in breakout

rooms to work on these individually and discuss as a team.

It was ideal to complete the pre-workshop tasks before the

workshop and complete the workshop task in the workshop or

soon after so the ideas/concepts were not forgotten. It was best to

attempt before hand, however with the materials sometimes

being posted after class had started, it certainly poses some

challenges

The exam was relatively straight forward compared to some of the

in-semester tasks. The group assignments were not overly big and

the pre-workshop quizzes were easy marks. In some instances it

felt the markers where very unforgiving. For example one

question in the assignment asked for an explanation for a

particular answer, the marking rubric demanded that a graph was

used as a part of the explanation (which was not implied by any

means) and I don't know of any Students who picked up on that

nuance, and hence lost marks.

This unit was very interesting. The unit isn't content challenging

but definitely needs motivation to power through. So staying on

top of the work is uber important

General Overview:

Lectures:

Tutorials:

Assessments/Other Assessments

Concluding Remarks