Info2 WS2018 Topics and Grading
Sum: 115% - There might be questions that count in two categories - eg. the Complexity of a searching algorithm.
115 | Lecture Topic |
---|---|
10 | Properties, especially Complexity of Algorithms |
20 | Abstract Data Types / Data Structures |
- Queue, Stack, List, Set, Directory/Map, Bags, Trees, Binary Search Trees, AVL Trees | |
- The Java Collection Framework | |
15 | Graphs and Graph Algorithms |
Graph Data Structure | |
Graph Algorithms: Breath-First and Depth-First Search | |
paths Dijkstra: cheapest path between start and end | |
20 | 2-3 aus: |
File I/O andNetworking in Java (Sockets) | |
Maximum Contiguous Subsequence Sum | |
Concurrency | |
Rekursion | |
Divide & Conquer | |
Random numbers, Probabilistic Algorithms | |
Finite State Automata (Grammars) | |
25 | Sorting: pseudocode / in worten beschreiben oder daran erkennen, manual |
- Radixsort l * n | |
- Mergesort n log n | |
- Quicksort n log n | |
- Heapsort n log n | |
- Insertion Sort | |
- Bogo Sort | |
- Selection Sort | |
- Cocktail Shaker | |
15 | Searching and String Searching |
- Binary Search | |
- Linear Search | |
- String Searching | |
- KMP (Skip Searching) | |
10 | Python |