Introductory, Engineering & Technology, Exams

General Engineering Class Notes (courses)

  • Engineering Problem Solving - Review, Graphing techniques, Problem solving strategies, Translation and reduction of "word problems" to algebraic equations, complex numbers, Elements of linear algebra, Coordinate transformation problems, Applications, non-linear equations

  • Oral and Written Communication - political, rhetorical, ethical and interpersonal challenges of communicating in a professional environment, practical demands of writing technical correspondence and reports, development of communicative judgement, case studies
  • Engineering Design - design techniques, concepts and processes, examples, Definition of engineering design, Design Process, Reporting and communicating, Understanding the problem, Functions and specifications, Finding answers, generating ideas, design alternatives, Managing, Sustainability, Ethics, Concurrent design processes

Uncertainty in Engineering

probability & statistics with emphasis on applications, events & probability, Bayes' theorem, random variables & vectors, distributions, Bernoulli trials & Poisson point processes, full-distribution uncertainty propagation, second-moment representation, propagation, conditional analysis, random sampling, estimation, hypothesis testing, linear regression

Frameworks and Models in Engineering Systems / Engineering System Design

quantitative models and qualitative frameworks for studying complex engineering systems, abstracting a complex system into a model for purposes of analysis and design while dealing with complexity, emergent behavior, stochasticity, non-linearities and the requirements of many stakeholders with divergent objectives

Probability with Engineering Applications

probability theory & statistics with applications to engineering problems primarily chosen from areas of communications, control, signal processing & computer engineering: syllabus, books, exams, slides

Computer Systems and Engineering Applications

surveys & reviews important elements of current computer technology, self-directed learning skills applied to effective use of several important engineering productivity tools: objectives, course outline, study guide, lab, discussion, multimedia, links

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