MATH 1033 Thinking About Data
Credit Points 10
Legacy Code 301108
Coordinator Franco Ubaudi Opens in new window
Description This subject covers basic concepts of data centric thinking. The main areas discussed are; Populations and Samples; Sampling concepts; Types of Data; Descriptive Methods; Estimation and Inference; Modelling. The subject takes a computational and nonparametric approach, before briefly discussing theoretical concepts and distribution theory.
School Computer, Data & Math Sciences
Discipline Statistics
Student Contribution Band HECS Band 2 10cp
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Level Undergraduate Level 1 subject
Assumed Knowledge
2 Unit High School Mathematics.
Assessment
The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.
| Item | Length | Percent | Threshold | Individual/Group Task |
|---|---|---|---|---|
| Online Quizzes | 5x 30 min | 20 | N | Individual |
| Computer Test | Lab based 1 hour practical test | 40 | N | Individual |
| Assignment | 3 weeks/approx. 2000 words | 40 | N | Individual |
Teaching Periods