This unit will teach some powerful ideas that are central to solving algorithmic problems in ways that are more efficient than naive approaches. In particular, students will learn how data collections can support efficient access, for example, how a dictionary or map can allow key-based lookup that does not slow down linearly as the collection grows in size. The data structures covered in this unit include lists, stacks, queues, priority queues, search trees, hash tables, and graphs. Students will also learn efficient techniques for classic tasks such as sorting a collection. The concept of asymptotic notation will be introduced, and used to describe the costs of various data access operations and algorithms.
Unit details and rules
Academic unit | Computer Science |
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Credit points | 6 |
Prerequisites
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None |
Corequisites
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None |
Prohibitions
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INFO1105 OR INFO1905 OR COMP2123 OR COMP2823 |
Assumed knowledge
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None |
Available to study abroad and exchange students | Yes |
Teaching staff
Coordinator | Clement Canonne, clement.canonne@sydney.edu.au |
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Lecturer(s) | Clement Canonne, clement.canonne@sydney.edu.au |
Seeun William William Umboh, william.umboh@sydney.edu.au |