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Assessment for AP Computer Science Principles is divided into two parts: a Create Performance Task due during the course, as well as an AP exam. [2] AP Computer Science Principles examines a variety of computing topics on a largely conceptual level, and teaches procedural programming. In the Create "Through-Course Assessment", students must ...
The Advanced Placement (AP) Computer Science (shortened to AP Comp Sci or APCS) program includes two Advanced Placement courses and examinations covering the field of computer science. They are offered by the College Board to high school students as an opportunity to earn college credit for college -level courses. [ 1 ]
AP exams (with few exceptions [1]) have a multiple-choice section and a free-response section. AP Studio Art requires students to submit a portfolio for review. AP Computer Science Principles requires students to complete the Create task, which is part of the AP grade for the class. AP exams were taken by subject in 2013.
The current status of the CSP during the algorithm can be viewed as a directed graph, where the nodes are the variables of the problem, with edges or arcs between variables that are related by symmetric constraints, where each arc in the worklist represents a constraint that needs to be checked for consistency.
All local search algorithms use a function that evaluates the quality of assignment, for example the number of constraints violated by the assignment. This amount is called the cost of the assignment. The aim of local search is that of finding an assignment of minimal cost, which is a solution if any exists.
In computer science, the readers–writers problems are examples of a common computing problem in concurrency. [1] There are at least three variations of the problems, which deal with situations in which many concurrent threads of execution try to access the same shared resource at one time.
Solution of a travelling salesman problem: the black line shows the shortest possible loop that connects every red dot. In the theory of computational complexity, the travelling salesman problem (TSP) asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the ...
Each problem takes a Boolean formula as input and the task is to compute the number of satisfying assignments. This can be further generalized by using larger domain sizes and attaching a weight to each satisfying assignment and computing the sum of these weights. It is known that any complex weighted #CSP problem is either in FP or #P-hard. [32]