Spring 2017 Computer Science 223 Lecture Summaries
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Lecture 1 (1/18/17): Introductory Lecture.
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Lecture 2 (1/20/17): Introduction to C: atoi, gcc, make.
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Lecture 3 (1/23/17): Introduction to C: make, program structure.
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Lecture 4 (1/25/17): Introduction to C: hw2 and strings.
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Lecture 5 (1/30/17): Introduction to C: more strings.
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Lecture 6 (2/1/17): Introduction to C: hw3 + guest speaker.
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Lecture 7 (2/6/17): Introduction to C: hw3 + Structs.
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Lecture 8 (2/08/17): Introduction to C: hw3 + Linked Lists, Hash Tables.
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Lecture 9 (2/13/17): Introduction to C: Linked Lists, Hash Tables.
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Lecture 10 (2/15/17): Introduction to C: valgrind, Hash Tables, Mid term review.
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Lecture 11 (2/20/17): Introduction to C: Mid term review.
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Midterm exam (2/22/17)
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Lecture 12 (2/27/17): HW4 + Data Structures: stacks.
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Lecture 13 (3/01/17): HW4 + Data Structures: stacks.
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Lecture 14 (3/06/17): HW5 + Data Structures: binary trees.
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Lecture 15 (3/08/17): HW5 + Data Structures: binary trees.
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Lecture 16 (3/27/17): Data Structures: binary trees, AVL, Heaps.
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Lecture 17 (3/29/17): hw6 + Data Structures: binary trees, AVL, Heaps, graphs.
(No transcript. No ssh)
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Lecture 18 (4/03/17): hw6 + Data Structures: binary trees, AVL, Heaps, graphs.
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Lecture 19 (4/05/17): Data Structures: red black trees, usw.
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Lecture 20 (4/10/17): Data Structures: RB trees and Dynamic programming.
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Lecture 21 (4/12/17): hw7 and Dynamic programming.
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Lecture 22 (4/17/17): hw7, Dynamic programming, exam review.
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Lecture 23 (4/19/17): Guest Lecture: Facebook (and food).
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Lecture 24 (4/19/17): Exam
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Lecture 25 (4/26/17): The difference between computers and people.
How to get a machine to think like a person.
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