Software Engineering 2014 Curriculum Guidelines for Undergraduate Degree Programs in Software Engineering a volume of the Computing Curricula Series

Mathematical and Engineering Fundamentals

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• Units and Topics

Mathematical and Engineering Fundamentals The mathematical and engineering fundamentals of software engineering provide theoretical and scientific underpinnings for the construction of software products with desired attributes. These fundamentals support precisely describing software engineering products. They provide the mathematical foundations to model and facilitate reasoning about these products and their interrelations as well as form the basis for a predictable design process. A central theme is engineering design: a decision-making process of iterative nature, in which computing, mathematics, and engineering sciences are applied to deploy available resources efficiently to meet a stated objective. Units and Topics Reference   k,c,a E,D Hours FND Mathematical and engineering fundamentals     80 FND.mf Mathematical foundations     50 FND.mf.1 Functions, relations, and sets a E   FND.mf.2 Basic logic (propositional and predicate) a E   FND.mf.3 Proof techniques (direct, contradiction, and inductive) a E   FND.mf.4 Basics of counting a E   FND.mf.5 Graphs and trees a E   FND.mf.6 Discrete probability a E   FND.mf.7 Finite state machines and regular expressions c E   FND.mf.8 Grammars c E   FND.mf.9 Numerical precision, accuracy, and errors c E   FND.mf.10 Number theory   D   FND.ef Engineering foundations for software     22 FND.ef.1 Empirical methods and experimental techniques (e.g., CPU and memory usage measurement) c E   FND.ef.2 Statistical analysis (e.g., simple hypothesis testing, estimating, regression, and correlation.) a E   FND.ef.3 Measurement and metrics k E   FND.ef.4 Systems development (e.g., security, safety, performance, effects of scaling, and feature interaction) k E   FND.ef.5 Engineering design (e.g., formulation of problem, alternative solutions, and feasibility) c E   FND.ef.6 Theory of measurement (e.g., criteria for valid measurement) c E   FND.ec Engineering economics for software     8 FND.ec.1 Value considerations throughout the software life cycle k E   FND.ec.2 Evaluating cost-effective solutions (e.g., benefits realization, tradeoff analysis, cost analysis, and return on investment) c E   Directory: cms cms -> Security Survey cms -> 1. naclo 2015 – North American Computational Linguistics Olympiad cms -> 1. naclo 2017 – North American Computational Linguistics Olympiad cms -> Chem I honors Unit 2 Notes: Numbers in Chemistry Measurement cms -> Sanderson High School ap human Geography Summer Assignment 2016 cms -> Find fantastic ousd elementary music programs cms -> Tiger Leaps Progress Update from Tenafly High School March 28, 2012 English cms -> Lorain county board of commissioners cms -> Haiti Relief – esf 15 Support Organization Situation Report # 17 1/28/10 Download 1.43 Mb. Share with your friends: