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TableTopics. TableTopics is a conversation and icebreaker game that features a series of questions written on a stack of cards enclosed in a cube box. [1] [2] The game was created in 2002 by Cristy Clarke, and comes in 20 different varieties.
This is a list of computability and complexity topics, by Wikipedia page. Computability theory is the part of the theory of computation that deals with what can be computed, in principle.
Conferences whose topic is algorithms and data structures considered broadly, but that do not include other areas of theoretical computer science such as computational complexity theory: ESA – European Symposium on Algorithms; SODA – ACM–SIAM Symposium on Discrete Algorithms; SWAT and WADS – SWAT and WADS conferences
2. Click Online Classes in the left hand navigation or Fitness to watch classes related to that topic. 3. A list of categories will appear under the featured video on the AOL online classes page. Click a category or scroll down the page to view class topics. 4. Click an image to watch a class.
Table topics are topics on various subjects that are discussed by a group of people around a table. As practiced by Toastmasters International, the topics to be discussed are written on pieces of paper which are placed in a box in the middle of a table. The participants pick up one paper each and start talking about the topic written on the paper.
[7] [8] [9] The field of computer science education encompasses a wide range of topics, from basic programming skills to advanced algorithm design and data analysis. It is a rapidly growing field that is essential to preparing students for careers in the technology industry and other fields that require computational skills.
See also: List of programmers, List of computing people, List of computer scientists, List of basic computer science topics, List of terms relating to algorithms and data structures. Topics on computing include:
The history of computational thinking as a concept dates back at least to the 1950s but most ideas are much older. [6] [3] Computational thinking involves ideas like abstraction, data representation, and logically organizing data, which are also prevalent in other kinds of thinking, such as scientific thinking, engineering thinking, systems thinking, design thinking, model-based thinking, and ...