Adrian Gonzalez – författare
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Career Planning for High School Students
Career Management Essentials
This is the only step-by-step career planning system for high school students, their parents, and teachers that is geared toward career satisfaction, degree utilization, employment after graduation, minimum student debt, and no student loan defaulting.
The CME strategy consists of a series of steps arranged in a flow chart (CME Job Aid). Each step poses a question that students and parents work on together to answer. The information gained about a potential employer’s specific requirements will lead to proactively selecting high school classes, majors, and extracurricular activities, and to also identify a subject matter expert helper. These are the professionals in the field of choice who will help guide the student and parents through the actions they need to take to achieve the goals of full employment after graduation with a high level of career satisfaction and low level of debt.
In this book, students, parents, and teachers will learn the following:
How to identify unique career abilities and interestHow to identify the best career fitHow to best utilize career coaches, high school counselors, and school admission advisorsHow to identify potential employersHow to pinpoint current jobsHow to select a post-secondary school (college or vocational technical school)And finally, how to obtain specific work experience while in school to assure a job right after graduation.
The book also includes a comprehensive To-Do List for both students and parents, as well as various activities and worksheets
Industry Research ActivityIndustry of Interest ActivityInformational Interview ActivityJob Shadowing WorksheetEmployer List ActivityJob List ActivityEducational Path ActivityTasks-Skills Match ActivitySchool Evaluation ChecklistTask LogTask JournalCareer Worksheet Activity
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New Advancements in Swarm Algorithms: Operators and Applications
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This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineersand practitioners solve their own optimization problems.
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