COMP 1014 Thinking About Data
Credit Points 10
Legacy Code 301488
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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 Computer Science
Student Contribution Band HECS Band 2 10cp
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Level Undergraduate Level 1 subject
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.
| Type | Length | Percent | Threshold | Individual/Group Task |
|---|---|---|---|---|
| Quiz | 5x 30 min | 20 | N | Individual |
| Final Exam | 2 hour | 40 | Y | Individual |
| Report | 3 weeks/approx. 2000 words | 40 | N | Individual |
Prescribed Texts
Lock, & Lock, Patti Frazer (2019). Statistics : unlocking the power of data (Second edition, EMEA edition.).
Teaching Periods
Autumn (2022)
Parramatta - Victoria Rd
Day
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Spring (2022)
Parramatta - Victoria Rd
Day
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UEH-Session 3 (2022)
Vietnam
External
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Autumn (2023)
Parramatta - Victoria Rd
On-site
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Vietnam Session 2 (2023)
Vietnam
On-site
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Spring (2023)
Parramatta - Victoria Rd
On-site
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