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69 lines
1.7 KiB
Markdown
69 lines
1.7 KiB
Markdown
# COSC201 - Algorithms and Data Structures
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## 1 Lectures
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- [[Merge sort - divide and conquer]]
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- [[Lecture 8 Merge sort 2]]
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- [[Lecture 9 Stacks queues and heaps]]
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- [[Lecture 10 Heaps and heap sort]]
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## 2 Notes
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### 2.1 Algorithm Complexity
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- [[Big-O]]
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- [[Big theta]]
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- [[Induction]]
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- [[analysis of recursive algorithms]]
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### 2.2 Algorithms
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- [[Minimal spending tree]]
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- [[Union Find-Disjoint set]]
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### 2.3 Fundamental Data structures
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- [[Objects]]
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- Stacks queues, List/arrays
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- [[Union Find-Disjoint set]]
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- Graphs and networks
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- Priority queue (heap)
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- Weighted
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- Unweighted
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- Trees (search and optimisation)
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- Maps (link between 'keys' and 'values')
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- Sets (Unstructured) (no repetition allowed)
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## 3 Assignments
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[[assignment 1]]
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## 4 Information
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**Staff**
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Role | Name | Email | Location | Hours
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-----|------|-------|----------|-----|
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Lectures | Michael Albert | michael.albert@otago.ac.nz | owheo g.52 | na |
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Labs | Reuben Crimp | reuben.crimp@otago.ac.nz | owheo g.37a | na |
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**Resources**
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[blackboard](https://blackboard.otago.ac.nz/webapps/blackboard/execute/modulepage/view?course_id=_45042_1&cmp_tab_id=_508507_1&mode=view+)
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[intro to algorithms book](https://otago.hosted.exlibrisgroup.com/permalink/f/1ihp3dt/OTAGO_ALMA51297974690001891)
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**Assessment**
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- Internal
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- two asignments
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- end of week 5 10%
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- end of week 10 20%
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- labs total 10%
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- Exam - 60%
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**Course_plan**
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- Extension and refinement of Big-O notation for algorithmic analysis.
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- The union-find data structure (a case study)
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- Merge sort
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- Priority queues and heap sort
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- Search trees and balancing
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- Hashing and hash maps
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- Graphs and graph algorithms (shortest paths, minimal spanning trees)
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- String algorithms
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