Computational Thinking - CS50 for Lawyers 2019
Автор: CS50
Загружено: 2019-09-01
Просмотров: 55310
Описание:
00:00:00 - Introduction
00:00:15 - Computational Thinking
00:01:54 - Representation
00:05:13 - Binary
00:14:36 - Representing Letters
00:16:37 - Unicode
00:19:33 - Abstraction
00:22:09 - RGB
00:24:22 - Representing Images and Videos
00:29:54 - Finding Mike Smith
00:31:38 - Solving Problems Effectively
00:40:59 - Pseudocode
00:41:56 - Functions
00:42:25 - Conditions
00:42:40 - Boolean Expressions
00:43:11 - Loops
00:44:17 - Abstraction (continued)
This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students). Whereas CS50 itself takes a bottom-up approach, emphasizing mastery of low-level concepts and implementation details thereof, this course takes a top-down approach, emphasizing mastery of high-level concepts and design decisions related thereto. Ultimately, it equips students with a deeper understanding of the legal implications of technological decisions made by clients.
Through a mix of technical instruction and discussion of case studies, this course empowers students to be informed contributors to technology-driven conversations. In addition, it prepares students to formulate technology-informed legal arguments and opinions. Along the way, it equips students with hands-on experience with Python and SQL, languages via which they can mine data for answers themselves.
Topics include algorithms, cloud computing, databases, networking, privacy, programming, scalability, security, and more, with a particular emphasis on understanding how the work developers do and the technological solutions they employ may impact clients. Students emerge from this course with first-hand appreciation of how it all works and all the more confident in the factors that should guide their decision-making.
• CS50 for Lawyers 2019
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This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming.
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LICENSE
CC BY-NC-SA 4.0
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License
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David J. Malan
https://cs.harvard.edu/malan
[email protected]
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