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Advanced Placement (AP) Computer Science Principles (also known as AP CSP) is an AP Computer Science course and examination offered by the College Board under the Advanced Placement program. The course is designed as an equivalent to a first-semester course in computing . [ 1 ]
AP Computer Science Principles On the Create Task, the Written Responses will be replaced with a Personalized Project Reference. Then, on the end-of-course exam, after the MCQ section, there will be a new Written Response section, with 2 questions (4 prompts total) in 1 hour, worth 20% of one's score. [59] AP United States Government and Politics
S.M.A.R.T. (or SMART) is an acronym used as a mnemonic device to establish criteria for effective goal-setting and objective development. This framework is commonly applied in various fields, including project management, employee performance management, and personal development.
The situation, task, action, result (STAR) format is a technique [1] used by interviewers to gather all the relevant information about a specific capability that the job requires. [ citation needed ] Situation : The interviewer wants you to present a recent challenging situation in which you found yourself.
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.
In computer science, communicating sequential processes (CSP) is a formal language for describing patterns of interaction in concurrent systems. [1] It is a member of the family of mathematical theories of concurrency known as process algebras, or process calculi , based on message passing via channels .
MAX-CSP, where a number of constraints are allowed to be violated, and the quality of a solution is measured by the number of satisfied constraints. Weighted CSP, a MAX-CSP in which each violation of a constraint is weighted according to a predefined preference. Thus satisfying constraint with more weight is preferred.
A lower bound of 1.852 was presented by Albers. [14] Taillard instances has an important role in developing job-shop scheduling with makespan objective. In 1976 Garey provided a proof [ 15 ] that this problem is NP-complete for m>2, that is, no optimal solution can be computed in deterministic polynomial time for three or more machines (unless ...