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Luger6
Luger5
Weiss3
Ullman2
Elmasri4
Elmasri6
deBerg3
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22 Aug T/1 Introduction, Data independence, Physical data storage, B-trees 4.7 2.2, 13.1, 14.3 2.2, 17.1, 18.3 Data independence; B-tree
24 Aug R/1 234-trees, Red-black trees 12.2 2-3-4 tree; Red-black tree
29 Aug T/2 Red-black tree implementation cases Slides on 234/RB insertion cases; RB insertion (with examples); RB insertion and deletion with 234 correspondences (English is imperfect but examples are very good)
31 Aug R/2 Red-black tree deletion cases
5 Sep T/3 Tries, Huffman coding, Information theory, Compression, Lossy compression 10.1.2 Huffman coding; Information theory; Run-length encoding; Lossy data compression; Trie
7 Sep R/3 Probability, Bayes' Law 5.2, 5.4 5.2, 5.4 Conditional probability; Joint probability; Bayes theorem
12 Sep T/4 Bayes nets, Naïve Bayes 9.3 9.3 Bayesian inference; Naive Bayes classifier; Chain rule
14 Sep R/4 Information retrieval, Precision and recall Information retrieval; Precision and recall
19 Sep T/5 Using maps 4.8 map in C++; Map in Java
21 Sep R/5 User interfaces, UI perception and cognition, Affordances, Feedback, Diversity and accessibility User interface; User interface design; Affordance; Web accessibility
26 Sep T/6 Paper prototyping Paper prototyping
28 Sep R/6 Design tradeoffs, UI evaluation criteria, UI standards and guidelines Usability testing; List of UI style guides; Best practices in GUI design
3 Oct T/7 Graphs, Pathfinding, Brute-force search 3.1, 3.2 3.1, 3.2 9.1, 9.3.1, 9.6 Graph; Tree; Depth-first search; Breadth-first search; Iterative deepening depth-first search; Iterative deepening vs depth-first search
5 Oct R/7 Dijkstra's algorithm 9.3.2 Dijkstra's algorithm; Dijkstra example (graphical); Dijkstra example (good pseudocode, great data trace)
10 Oct T/8 A and A* 4.2, 4.3 4.2, 4.3 Admissibility; A*; Dijkstra's and A*
12 Oct R/8 Implementing best-first search, Using priority queues, Using hash tables priority_queue in C++; PriorityQueue in Java; unordered_set in C++; HashSet in Java
19 Oct R/9 Writing hash functions, Stateful comparators Hash functions; hash in C++; hashCode() in Java
24 Oct T/10 Problem spaces 3.1.3 3.1.3 State space search
26 Oct R/10 Problem spaces, cont'd, Minimax, Alpha-beta pruning 4.4, 4.4.3 4.4, 4.4.3 Minimax; Minimax in AI/games (don't miss part 2); Minimax with examples and pseudocode (don't miss pages 2 and 3); Alpha-beta pruning; Branch and bound; Alnilam (game)
31 Oct T/11 Nature of intelligence 16.1 17.1 Turing test; Chinese room; ELIZA; Turing, A.M. (1950). Computing machinery and intelligence. Mind, 59, 433-460.
2 Nov R/11 Database components, Relational models 3.1 1.2 2.4, 5.1 2.4, 3.1 Database; Relational database; Relation
7 Nov T/12 SQL 6.1, 6.5 8.1, 8.4 4.1, 4.3 SQL; SQL syntax (SQLite dialect)
9 Nov R/12 Entity-relationship models 2.1, 2.2 3.3, 3.4 7.3, 7.4 E-R model
14 Nov T/13 Converting between models, Database design principles, Database security 3.2 7.1, 12.2, 23.1, 23.2 9.1, 10.2, 24.1, 24.2 Database security; "Exploits of a Mom" (Little Bobby Tables)
16 Nov R/13 Database constraints, Database correctness (ACID), Distributing databases 7.1, 7.2, 1.2.4 5.2, 8.2, 17.3 3.2, 4.2, 21.3 Database constraints; Database transaction; ACID; Shard; No SQL
21 Nov T/14 Computational geometry, Convex hulls 1.2, 1.3, 1.1 Computational geometry; Convex hull
28 Nov T/15 Convex hulls cont'd, Algorithm analysis
30 Nov R/15 Line segment intersection, Doubly-connected edge lists 2.1, 2.2, 2.3 Line segment intersection; Doubly connected edge list