This paper introduces a Lean Innovation Model for transforming an organization into one that leverages innovation for economic value. The model intends to address two main questions: 1) what are the best innovation transformation approaches for an organization to leverage innovation and 2) how can an organization effectively unleash its untapped innovation capability to increase economic value? How the model works, its constructs, and how it can affordably be implemented will be described. Relationships between the conceptual model and the requisite culture, process, and infrastructure needed for an organization to produce economic value from innovation will be explored.
This paper reports on some efforts to provide computer science training for potential teachers in the secondary schools. For those who wish to teach computing concepts, a program consisting of six courses (18 semester hours) of computer science that includes (1) computing concepts studied in the context of both high-level and assembly languages, (2) an exposure to the continuum of applications of computers to education and (3) pertinent electives relative to the students major discipline is outlined. Included are discussions of some relevant issues, rationale for directions taken and specific details about the program.
The ACM/IEEE-CS Joint Curriculum Task Force in its Computing Curricula 1991 listed several knowledge units related to parallel processing, which they consider should be "common requirements for all undergraduate programs in the field of computing." (p. 4) But incorporating use of parallel processors poses unique problems for the professor. How can one provide the appropriate equipment--simulation, transputers, UNIX distributed workstations, or perhaps a computer available through Internet? What are the advantages and tradeoffs of these systems? What are the support requirements? Should the professor expose the students to several architectures or delve deeply into one? Which programming language(s) should be taught? What textbooks are appropriate for the undergraduate? What kinds of projects are reasonable? Exposure can be part of several traditional courses, such as Operating Systems, Programming Languages, and Simulation; or there can be a separate course or enough courses to create an emphasis in parallel computing.Which approach is best for your school? How can one obtain funding to develop a course in the area? What short courses, workshops, and conferences are available to help the professor learn more about parallel computing? Professors, who have been deeply involved in parallel processing on the undergraduate level, will discuss these and related issues during this panel. 298
Self-assessment is a procedure based on questions and answers covering knowledge in technical areas which allows an individual to determine his own activities for the purpose of keeping up with progress in his field. It is assumed that the individual wishes to continue active learning and that he wants to identify his deficiencies (usually in a manner where no one else knows of them).A major premise regarding self-assessment is that it should primarily be an educational experience for the participant. It is not necessary, as it is with a certlfication'program or aptitude and proficiency tests for computer personnel, to draw and publish conclusions about the competence of participating individuals to do particular Jobs.Self-assessment programs have been in operation for several years for dentists, physicians and surgeons. These groups have employed professional testing agencies to develop and administer the program at a significant cost.An alternative to using the professional testing agency approach for developing and administering self-assessment procedures for the computing field is proposed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.