Solving Problems In Genetics

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Solving Problems in Genetics

Author: Richard Kowles
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-12-01
The principle objective of this book is to help undergraduate students in the analysis of genetic problems. Many students have a great deal of difficulty doing genetic analysis, and the book will be useful regardless of which genetics text is being used. Most texts provide some kinds of problems and answers: few, if any, however, show the students how to actually solve the problem. Often the student has no idea how the answer was derived. This work emphasizes solutions, not just answers. The strategy is to provide the student with the essential steps and the reasoning involved in conducting the analysis. Throughout the book, an attempt is made to present a balanced account of genetics. Topics, therefore, center about Mendelian, cytogenetic, molecular, quantitative, and population genetics, with a few more specialized areas. Whenever possible the student is provided with the appropriate basic statistics necessary to make some of the analyses. The book also builds on itself; that is, analytical methods learned in early parts of the book are subsequently revisited and used for later analyses. A deliberate attempt is made to make complex concepts simple, and sometimes to point out that apparently simple concepts are sometimes less so on further investigation. Any student taking a genetics course will find this book an invaluable aid to achieving a good understanding of genetic principles and practice.
The genetics problem solver

The Problem Solvers are an exceptional series of books that are thorough, unusually well-organized, and structured in such a way that they can be used with any text. No other series of study and solution guides has come close to the Problem Solvers in usefulness, quality, and effectiveness. Educators consider the Problem Solvers the most effective series of study aids on the market. Students regard them as most helpful for their school work and studies. With these books, students do not merely memorize the subject matter, they really get to understand it. Each Problem Solver is over 1,000 pages, yet each saves hours of time in studying and finding solutions to problems. These solutions are worked out in step-by-step detail, thoroughly and clearly. Each book is fully indexed for locating specific problems rapidly. Thorough coverage is given to cell mechanics, chromosomes, Mendelian genetics, sex determination, mutations and alleles, bacterial and viral genetics, biochemistry, immunogenetics, genetic engineering, probability, and statistics.
Solving a Bus Driver Scheduling Problem: A Genetic Algorithm Approach (UUM Press)

Many transport companies face problems in regulating their transport services due to various challenges and issues. These problems affect the quality of the services provided especially in a university campus environment, where students heavily depend on the university transport services for their daily commuting.What are the problems faced by the management of the campus transport company? What are the issues raised by the drivers operating the on-campus buses? Hence, in assisting the management of the transport company the authors have identified the inefficiency of their bus driver scheduling system as one of the main problems, which needed to be tackled. For that reason, the authors developed an efficient bus driver scheduling model based on the Genetic Algorithm (GA) approach. The GA model is able to provide some resolutions and insight in relation to these inquiries: What are the constraints being considered in this bus driver scheduling problem? - How were the drivers’ break times being distributed in this GA approach? - How was the time taken to generate an efficient schedule? - For more information please visit: http://uumpress.uum.edu.my/