COMP 1014 Thinking About Data
Credit Points 10
Legacy Code 301488
Coordinator Gizem Intepe 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 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.
| Item | Length | Percent | Threshold | Individual/Group Task |
|---|---|---|---|---|
| Quiz | 5x 30 min | 20 | N | Individual |
| Final Exam | Lab based 1 hour practical test | 40 | N | 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
Parramatta - Victoria Rd
Day
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Spring
Parramatta - Victoria Rd
Day
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