Q. Michael Zhang, Tao Jiang & Ying Xu (Eds):Current Topics in Computational Molecular Biology
- Paperback 2015, ISBN: 9788180520525
Hardcover
New Age International (P) Limited, 2015. 2nd edition. Softcover. New. Each chapter of the book deals with mathematical modelling through one or more specified techniques. Thus there are… More...
New Age International (P) Limited, 2015. 2nd edition. Softcover. New. Each chapter of the book deals with mathematical modelling through one or more specified techniques. Thus there are chapters on mathematical modelling through algebra, geometry, trigonometry and calculus, through ordinary differential equations of first and second order, through systems of differential equations, through difference equations, through partial differential equations, through functional equations and integral equations, through delay-differential, differential-difference and integro-differential equations, through calculus of variations and dynamic programming, through graphs, through mathematical programming, maximum principle and maximum entropy principle. Each chapter contains mathematical models from physical, biological, social, management sciences and engineering and technology and illustrates unity in diversity of mathematical sciences. The book contains plenty of exercises in mathematical modelling and is aimed to give a panoramic view of applications of modelling in all fields of knowledge. It contains both probabilistic and deterministic models. The book presumes only the knowledge of undergraduate mathematics and can be used as a textbook at senior undergraduate or postgraduate level for a one or two-semester course for students of mathematics, statistics, physical, social and biological sciences and engineering. It can also be useful for all users of mathematics and for all mathematical modellers. Printed Pages: 270., New Age International (P) Limited, 2015, 6, New Age International (P) Limited, 2015. 2nd edition. Softcover. New. Each chapter of the book deals with mathematical modelling through one or more specified techniques. Thus there are chapters on mathematical modelling through algebra, geometry, trigonometry and calculus, through ordinary differential equations of first and second order, through systems of differential equations, through difference equations, through partial differential equations, through functional equations and integral equations, through delay-differential, differential-difference and integro-differential equations, through calculus of variations and dynamic programming, through graphs, through mathematical programming, maximum principle and maximum entropy principle. Each chapter contains mathematical models from physical, biological, social, management sciences and engineering and technology and illustrates unity in diversity of mathematical sciences. The book contains plenty of exercises in mathematical modelling and is aimed to give a panoramic view of applications of modelling in all fields of knowledge. It contains both probabilistic and deterministic models. The book presumes only the knowledge of undergraduate mathematics and can be used as a textbook at senior undergraduate or postgraduate level for a one or two-semester course for students of mathematics, statistics, physical, social and biological sciences and engineering. It can also be useful for all users of mathematics and for all mathematical modellers. Printed Pages: 270. NA, New Age International (P) Limited, 2015, 6, New Age International (P) Limited, 2015. 2nd edition. Softcover. New. Each chapter of the book deals with mathematical modelling through one or more specified techniques. Thus there are chapters on mathematical modelling through algebra, geometry, trigonometry and calculus, through ordinary differential equations of first and second order, through systems of differential equations, through difference equations, through partial differential equations, through functional equations and integral equations, through delay-differential, differential-difference and integro-differential equations, through calculus of variations and dynamic programming, through graphs, through mathematical programming, maximum principle and maximum entropy principle. Each chapter contains mathematical models from physical, biological, social, management sciences and engineering and technology and illustrates unity in diversity of mathematical sciences. The book contains plenty of exercises in mathematical modelling and is aimed to give a panoramic view of applications of modelling in all fields of knowledge. It contains both probabilistic and deterministic models. The book presumes only the knowledge of undergraduate mathematics and can be used as a textbook at senior undergraduate or postgraduate level for a one or two-semester course for students of mathematics, statistics, physical, social and biological sciences and engineering. It can also be useful for all users of mathematics and for all mathematical modellers. Printed Pages: 270., New Age International (P) Limited, 2015, 6, Boca Raton Florida: Chapman and Hall, 1999. There is an ownership signature on the front end paper, else pristine. xv, 455. "Increasingly, researchers need to perform multivariate statistical analyses on their data. Unfortunately, a lack of mathematical training prevents many from taking advantage of these advanced techniques, in part, because books focus on the theory and neglect explaining how to perform and interpret multivariate analyses on real-life data. For years, Afifi and Clark's Computer-Aided Multivariate Analysis has been a welcome exception, helping researchers choose the appropriate analyses for their data, carry them out and interpret the results. Only a limited knowledge of statistics is assumed and geometrical and graphical explanations are used to explain what the analyses do. However the basic model is always given and assumptions are discussed. In this edition the computer emphasis is enhanced by the inclusion of three additional statistical packages written for the personal computer. The authors also discuss data entry, database management, data screening, data transformations, as well as multivariate data analysis. This third edition contains a new chapter on log-linear analysis of multi-way frequency tables. The new edition will be useful to professionals, researchers and students in a wide range of fields ranging from psychology, sociology and physical sciences to public health and biomedical science." (publisher's blurb). Hard Cover. Near Fine. 8vo - over 7¾" - 9¾" tall., Chapman and Hall, 1999, 4, PHI Learning, 2007. 3rd edition. Softcover. New. Science teaching has recently evolved as a blend of conventional methods and modern aids owing to the changing needs and techniques of education. This updated Third Edition aims to strike this balance between modern teaching methods and time-tested theories. All the existing chapters are suitably updated and new chapters on theories of learning, teaching models, and statistics are included in the text. Checklists are provided to help teachers handpick appropriate material from the vast available resources. The introductory chapter on statistics should help them interpret and analyze the test scores of their students. THIS NEW EDITION FEATURES • Four new chapters—Statistics for Science Teacher, Theories of Learning, Models of Teaching, and Constructivism in Science Education. • Updated e-learning materials and website addresses relevant to science teaching and teachers. • Completely revised chapters and elaborate coverage of all aspects of modern teaching. This edition of Innovative Science Teaching is designed for the undergraduate and postgraduate students of education specializing in science teaching. It can also be used as reference by physical science teachers and teacher-trainees. CONTENTS: Preface. Acknowledgements. Part I: Background for Teaching of Physical Science—1. Nature and Scope of Physical Science. 2. Theories of Learning with Special Reference to Science Education. 3. Aims and Objectives of Teaching Physical Science. 4. Curriculum in Physical Science. 5. Models of Teaching. 6. Constructivism in Science Education. Part II: Techniques and Methods of Teaching Physical Science—7. Microteaching. 8. Methods of Teaching Physical Science. Part III: Planning for Instruction—9. Unit Planning. 10. Lesson Planning. 11. The Science Laboratory. 12. Educational Aids to Science Teaching. 13. Weaving e-Learning into the Science Classroom. Part IV: Evaluation in Science Teaching—14. Tools and Techniques of Evaluation in Physical Science. 15. Statistics for the Science Teacher. 16. The Science Teacher. References. Index. Printed Pages: 456., PHI Learning, 2007, 6, PHI Learning, 2007. 3rd edition. Softcover. New. Science teaching has recently evolved as a blend of conventional methods and modern aids owing to the changing needs and techniques of education. This updated Third Edition aims to strike this balance between modern teaching methods and time-tested theories. All the existing chapters are suitably updated and new chapters on theories of learning, teaching models, and statistics are included in the text. Checklists are provided to help teachers handpick appropriate material from the vast available resources. The introductory chapter on statistics should help them interpret and analyze the test scores of their students. THIS NEW EDITION FEATURES Four new chaptersStatistics for Science Teacher, Theories of Learning, Models of Teaching, and Constructivism in Science Education. Updated e-learning materials and website addresses relevant to science teaching and teachers. Completely revised chapters and elaborate coverage of all aspects of modern teaching. This edition of Innovative Science Teaching is designed for the undergraduate and postgraduate students of education specializing in science teaching. It can also be used as reference by physical science teachers and teacher-trainees. CONTENTS: Preface. Acknowledgements. Part I: Background for Teaching of Physical Science1. Nature and Scope of Physical Science. 2. Theories of Learning with Special Reference to Science Education. 3. Aims and Objectives of Teaching Physical Science. 4. Curriculum in Physical Science. 5. Models of Teaching. 6. Constructivism in Science Education. Part II: Techniques and Methods of Teaching Physical Science7. Microteaching. 8. Methods of Teaching Physical Science. Part III: Planning for Instruction9. Unit Planning. 10. Lesson Planning. 11. The Science Laboratory. 12. Educational Aids to Science Teaching. 13. Weaving e-Learning into the Science Classroom. Part IV: Evaluation in Science Teaching14. Tools and Techniques of Evaluation in Physical Science. 15. Statistics for the Science Teacher. 16. The Science Teacher. References. Index. Printed Pages: 456. NA, PHI Learning, 2007, 6, Ane Books Pvt. Ltd, 2004. First edition. Softcover. New. Computational Molecular biology, or bioinformatics, draws on the disciplines of biology, mathematics, statistics, physics, chemistry, Computer science, and engineering. It provides the computational support for functional genomics, which links the behavior of cells, organisms, and populations to the information encoded in the genomes, as well as for Structural genomics. At the heart of all large-scale and high-throughput biotechnologies, it has a growing impact on Health and medicine. This survey of computational molecular Biology covers traditional Topics such as protein structure modeling and sequence alignment, and more recent ones such as expression data analysis and Comparative genomics. It combines algorithmic, statistical, database, and AI-based methods for studying Biological problems. The book also contains an Introductory chapter, as well as one on General statistical modeling and computational techniques in molecular biology. Each chapter presents a self-contained Review of a specific subject. Printed Pages: 560., Ane Books Pvt. Ltd, 2004, 6<
