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CSE 326 Course Review David Kaplan Dept of Computer Science & Engineering Autumn 2001
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Course ReviewCSE 326 Autumn 20012 Why (did we) study data structures? Clever ways to organize information in order to enable efficient computation Systems Theory AI Graphics Applications DataStructures Databases NetworkingGames
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Course ReviewCSE 326 Autumn 20013 Why (did we) take CSE 326? Guaranteed non-obsolescence May be most important CS course you ever take Gain concepts, plans and mechanisms for creating better software
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Course ReviewCSE 326 Autumn 20014 Course Goals Learn some of the fundamental data structures in computer science Learn to solve problems abstractly Data structures are the building blocks Learn to analyze and improve algorithms Prove correctness Gauge and improve time complexity Learn UNIX Required in upcoming courses
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Course ReviewCSE 326 Autumn 20015 Concepts, Plans, Mechanisms Concepts A list that lets me store and retrieve things A tree that lets me store and retrieve things by hierarchy A table that lets me store and retrieve things by name A graph (network) that represents distances between cities, relationships between people, tasks within a project, etc. and so on …
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Course ReviewCSE 326 Autumn 20016 Concepts, Plans, Mechanisms Plans Pseudocode Block Diagrams Flowcharts Mechanisms Working code Intuition is the bridge concepts plans mechanisms
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Course ReviewCSE 326 Autumn 20017 Organizing Information Concepts Simple collectionCollection with hierarchy Collection with complex topology Plans (ADTs) List, Stack, Queue Binary Search Tree, B-Tree, AVL Tree, Heaps, … Directed Graph, DAG, Flow Network, … MechanismsNumerous “Linear”“Hierarchical”“Graphical”
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Course ReviewCSE 326 Autumn 20018 Using Organized Information Examples Dictionary ADT Store, retrieve, update, delete to-from large bodies of information Priority queue ADT Handle “priority” on-the-fly Disjoint Sets ADT Handle dynamic equivalence on-the-fly Graph {ADT, data structure, ???} Answer hard questions (sometimes efficiently!) Shortest paths, spanning trees, …
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Course ReviewCSE 326 Autumn 20019 Asymptotic Complexity How the running time of an algorithm scales with the size of its input Ways to measure complexity Worst case Average case Amortized over a series of (presumably representative) runs Best case (occasionally useful)
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Course ReviewCSE 326 Autumn 200110 Apocalyptic Laptop Seth Lloyd, a physicist at the Massachusetts Institute of Technology, has calculated how to make PCs almost unimaginably faster--if you don't mind working on a black hole. Lloyd has used the laws of thermodynamics, information, relativity, and quantum mechanics to figure out the ultimate physical limits on the speed of a computer… Lloyd's ultimate laptop would convert all of its 1-kilogram mass into energy via Einstein's famous equation E = mc 2, thus turning itself into a billion-degree blob of plasma. "This would present a packaging problem," Lloyd admits … The computer would be capable of performing 10 51 operations per second. - Charles Seife, Science Magazine, Vol 289, No 5484, Sep 1 2000, pp. 1447-1448
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Course ReviewCSE 326 Autumn 200111 Big Bang ApocaLap, 1 year ApocaLap, 1 sec 1000 MIPS since Big Bang 1000 MIPS, 1 day
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Course ReviewCSE 326 Autumn 200112 Stuff we did Lists Stacks Queues Search trees, in many flavors (BST, AVL, splay) Heaps, in many flavors (binary, d, leftist, skew) Hashing Graphs, spanning trees Graph algorithms (Dijkstra’s, Kruskal’s, Prim’s) Asymptotic complexity Recursion analysis Sorting, in many flavors Randomization (treaps, skip lists)
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Course ReviewCSE 326 Autumn 200113 Stuff we didn’t get to Algorithm Design Greedy Divide and conquer Backtracking Dynamic programming Amortized Analysis (formal mechanisms) NP-Completeness At least enough to qualitatively distinguish P and NP problems : - (
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Course ReviewCSE 326 Autumn 200114 Are we convinced yet? Mastery of this material separates you from …
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Course ReviewCSE 326 Autumn 200115 Coming Attractions Wed Dec 12: wrap-up and closing ceremony Wed Dec 12 3:30-4:30pm: Case Study Better Living through Graphs and Trees Sun Dec 16: Final Exam Review Session Time/place TBD To do study for … Final Exam Mon, Dec 17 2:30pm, MGH 389
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