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Advanced Placement (AP) Computer Science A (also known as AP CompSci, AP CompSci A, APCSA, AP Computer Science Applications, or AP Java) is an AP Computer Science course and examination offered by the College Board to high school students as an opportunity to earn college credit for a college-level computer science course.
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.
In computer science, a problem that can be broken apart like this is said to have optimal substructure. In the context of dynamic game theory , this principle is analogous to the concept of subgame perfect equilibrium , although what constitutes an optimal policy in this case is conditioned on the decision-maker's opponents choosing similarly ...
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 ...
Students must obtain a final score of 3 or higher to be able to receive AP certification. [1] As of the 2017–18 school year, AP Research papers are graded using a holistic rubric. The two central elements that move a paper from a 2 to a 3 are the middle two rows, which assess the methodology and conclusion. The rubric can be seen here.
Bellman, Richard (1954), "The theory of dynamic programming", Bulletin of the American Mathematical Society, 60 (6): 503– 516, doi: 10.1090/S0002-9904-1954-09848-8, MR 0067459. Includes an extensive bibliography of the literature in the area, up to the year 1954. Bellman, Richard (1957), Dynamic Programming, Princeton University Press.
Markov decision process (MDP), also called a stochastic dynamic program or stochastic control problem, is a model for sequential decision making when outcomes are uncertain. [ 1 ] Originating from operations research in the 1950s, [ 2 ] [ 3 ] MDPs have since gained recognition in a variety of fields, including ecology , economics , healthcare ...