The Missing Basics & Other Philosophical Reflections for the Transformation of Engineering Education

The paper starts by reflecting on what senior engineering students don't know how to do when they confront a real-world project in an industrially sponsored senior design project. Seven, largely qualitatively, skills are found to be lacking: questioning, labeling, qualitatively modeling, decomposing, measuring, ideating, and communicating. These skills, some of the most important critical and creative thinking skills in the arsenal of modern civilization, are termed "the missing basics" and contrasted with what engineering faculty usually call "the basics." The paper critically examines the term "the basics" and other terms that are conceptual hurdles to fundamental reassessment of engineering education at this time. The paper concludes that the engineering academy is stuck in a Kuhnian paradigm born in the cold war, that the reflexive belief in the superiority of math, science, and engineering science to the exclusion of other topics is not itself scientific, and that the use of tired code words is not an argument or a rational defense of a paradigm that may have outlived its usefulness. The paper concludes by highlighting the role philosophy can play in clearing away the conceptual confusion, thereby permitting a more reasoned conversation on the needs of engineering education in our times

An investigation of messy genetic algorithms

Genetic algorithms (GAs) are search procedures based on the mechanics of natural selection and natural genetics. They combine the use of string codings or artificial chromosomes and populations with the selective and juxtapositional power of reproduction and recombination to motivate a surprisingly powerful search heuristic in many problems. Despite their empirical success, there has been a long standing objection to the use of GAs in arbitrarily difficult problems. A new approach was launched. Results to a 30-bit, order-three-deception problem were obtained using a new type of genetic algorithm called a messy genetic algorithm (mGAs). Messy genetic algorithms combine the use of variable-length strings, a two-phase selection scheme, and messy genetic operators to effect a solution to the fixed-coding problem of standard simple GAs. The results of the study of mGAs in problems with nonuniform subfunction scale and size are presented. The mGA approach is summarized, both its operation and the theory of its use. Experiments on problems of varying scale, varying building-block size, and combined varying scale and size are presented

The Missing Basics & Other Philosophical Reflections for the Transformation of Engineering Education

The paper starts by reflecting on what senior engineering students don't know how to do when they confront a real-world project in an industrially sponsored senior design project. Seven, largely qualitatively, skills are found to be lacking: questioning, labeling, qualitatively modeling, decomposing, measuring, ideating, and communicating. These skills, some of the most important critical and creative thinking skills in the arsenal of modern civilization, are termed "the missing basics" and contrasted with what engineering faculty usually call "the basics." The paper critically examines the term "the basics" and other terms that are conceptual hurdles to fundamental reassessment of engineering education at this time. The paper concludes that the engineering academy is stuck in a Kuhnian paradigm born in the cold war, that the reflexive belief in the superiority of math, science, and engineering science to the exclusion of other topics is not itself scientific, and that the use of tired code words is not an argument or a rational defense of a paradigm that may have outlived its usefulness. The paper concludes by highlighting the role philosophy can play in clearing away the conceptual confusion, thereby permitting a more reasoned conversation on the needs of engineering education in our times

The Retreats of Reconstruction: Race, Leisure, and the Politics of Segregation at the New Jersey Shore, 1865--1920

This dissertation examines the political meanings of consumption and racial segregation in the public and commercial leisure spaces of the New Jersey shore during the Reconstruction era. Moving beyond issues of identity, racial violence, and labor disputes, I show how Jim Crow unfolded and operated in the post-Civil War North by emphasizing the importance of political economy and ideas about public health and welfare. Beginning in the 1880s, ideas about the rights and health of consumers became more important in helping shape the meanings of freedom than did the triumph of free labor ideology. The rise of mass consumption as a guiding principle of economic growth, and the debates about political economy that it spurred---intertwined with the ideologies that led to Jim Crow segregation at the Jersey shore.;Throughout the late-nineteenth century, both whites and blacks used the ideologies of the marketplace to shape and resist segregation at northern beach resorts. White segregationists argued that Jim Crow laws were legal and necessary since they preserved the sanctity of property, privacy, and social propriety. In contrast, African Americans employed a variety of consumer-focused tactics to desegregate northern beach towns, shape their own independent leisure districts, and discredit the environmental inequalities of service economies. By making consumer rights and public health central to the struggle against segregation, northern black activists successfully made sites of entertainment and consumption critical battlegrounds in a national campaign for civil rights, market fairness, and environmental justice during the early Jim Crow era

From Competence to Efficiency: A Tale of GA Progress

Genetic algorithms (GAs) - search procedures based on the mechanics of natural selection and genetics - have grown in popularity for the solution of difficult optimization problems. Concomitant with this growth has been a rising cacaphony of complaint asserting that too much time must be spent by the GA practitioner diddling with codes, operators, and GA parameters; and even then these GA cassandras continue, and the user is still unsure that the effort will meet with success. At the same time, there has been a rising interest in GA theory by a growing community - a theorocracy - of mathematicians and theoretical computer scientists, and these individuals have turned their efforts increasingly toward elegant abstract theorems and proofs that seem to the practitioner to offer little in the way of answers for GA design or practice. What both groups seem to have missed is the largely unheralded 1993 assembly of integrated, applicable theory and its experimental confirmation. This theory has done two key things. First, it has predicted that simple GAs are severely limited in the difficulty of problems they can solve, and these limitations have been confirmed experimentally. Second, it has shown the path to circumventing these limitations in nontraditional GA designs such as the fast messy GA. This talk surveys the history, methodology, and accomplishment of the 1993 applicable theory revolution. After arguing that these accomplishments open the door to universal GA competence, the paper shifts the discussion to the possibility of universal GA efficiency in the utilization of time and real estate through effective parallelization, temporal decomposition, hybridization, and relaxed function evaluation. The presentation concludes by suggesting that these research directions are quickly taking us to a golden age of adaptation