The Singapore Mathematics Calendar 2020
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Author | : Yan Kow Cheong |
Publisher | : MathPlus Publishing |
Total Pages | : 48 |
Release | : |
Genre | : Self-Help |
ISBN | : 9811445702 |
The Singapore Mathematics Calendar is a three-book series that provides an informal yet creative way for both parents and homeschoolers to support their child succeed in math. This calendar is designed in such a way that the answer to the problem on each day is the date on which the problem appears. Hints and solutions are also provided for nonroutine or brain-unfriendly questions. Besides, each month begins with some elements of enrichment or recreational math. The Singapore Mathematics Calendar Series aims to convey the message that mathematics needn’t be drill-and-kill exercises—it can be fun, yet challenging for students to be exposed to the beauty and joy of mathematics.
Author | : Yan Kow Cheong |
Publisher | : MathPlus Publishing |
Total Pages | : 50 |
Release | : 2020-12-29 |
Genre | : Young Adult Nonfiction |
ISBN | : 9811490929 |
The Singapore Mathematics Calendar is a three-book series (Elementary, Intermediate, and Advanced) that provides an informal yet creative way for both parents and homeschoolers to support their child succeed in math. This math calendar is designed so that the answer to the problem on each day is the date on which the question appears. The daily dose of both routine and nonroutine questions aims to develop the child’s problem-solving and guesstimation skills, while exposing them to valuable mathematical information that goes beyond their textbook. Hints and solutions are also provided for nonroutine or brain-unfriendly questions. Moreover, each month begins with some elements of enrichment or recreational math to challenge or enrich the child. Through math activities, puzzles, and games, The Singapore Mathematics Calendar seeks to complement and supplement what the child is doing in school or at home, by making math fun and educational. The Singapore Mathematics Calendar hopes to convey the message that mathematics needn’t be drill-and-kill exercises—it can be fun, yet challenging for students to be exposed to the beauty and joy of mathematics.
Author | : Bharath Sriraman |
Publisher | : Springer Nature |
Total Pages | : 3221 |
Release | : |
Genre | : |
ISBN | : 3031408462 |
Author | : Denise Gaskins |
Publisher | : Tabletop Academy Press |
Total Pages | : 288 |
Release | : 2012-09-04 |
Genre | : Education |
ISBN | : 1892083248 |
Author | : Le Gruenwald |
Publisher | : Academic Press |
Total Pages | : 320 |
Release | : 2021-07-28 |
Genre | : Science |
ISBN | : 032390002X |
Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations. - Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies - Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data - Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing
Author | : |
Publisher | : |
Total Pages | : 208 |
Release | : 2017-08-10 |
Genre | : |
ISBN | : 9781328881007 |
Author | : Chris McGrane |
Publisher | : John Catt |
Total Pages | : 286 |
Release | : 2020-10-01 |
Genre | : Education |
ISBN | : 1913808343 |
If we want our pupils to develop fluency, understanding and the ability to solve complex problems, then it is vital that teachers develop the ability to select, adapt and design appropriate mathematical tasks. In 'Mathematical Tasks: The Bridge Between Teaching and Learning', Chris McGrane and Mark McCourt a range of practical approaches, strategies and principles behind the design and effective use of tasks in the mathematics classroom that lead to all pupils becoming successful learners. First-hand interviews with world class mathematics education experts and practicing teachers bring to life the ideas behind how tasks can act as a bridge between what the teacher wants the pupil to make sense of and what the pupil actually does makes sense of; tasks are how we enable pupils to enact mathematics - it is only by being mathematical that pupils can truly make connections across mathematical ideas and understand the bigger picture. This is a book for classroom teachers. Chris McGrane offers a range of practical examples for nurturing deep learning in mathematics that can be adapted and embedded in one's own classroom practice. This is also a book for those who are interested in the theory behind tasks. Chris and his interviewees examine the key role tasks play in shaping learning, teaching, curriculum and assessment. Suitable for teachers at all stages in their careers and teachers are encouraged to return to the book from time to time over the years to notice how their use of tasks in the classroom changes as they themselves develop.
Author | : Yeping Li |
Publisher | : Springer Nature |
Total Pages | : 305 |
Release | : 2021-04-23 |
Genre | : Education |
ISBN | : 3030689565 |
The need to improve the mathematical proficiency of elementary teachers is well recognized, and it has long been of interest to educators and researchers in the U.S. and many other countries. But the specific proficiencies that elementary teachers need and the process of developing and improving them remain only partially conceptualized and not well validated empirically. To improve this situation, national workshops were organized at Texas A&M University to generate focused discussions about this important topic, with participation of mathematicians, mathematics educators and teachers. Developing Mathematical Proficiency for Elementary Instruction is a collection of articles that grew out of those exciting cross-disciplinary exchanges. Developing Mathematical Proficiency for Elementary Instruction is organized to probe the specifics of mathematical proficiency that are important to elementary teachers during two separate but inter-connected professional stages: as pre-service teachers in a preparation program, and as in-service teachers teaching mathematics in elementary classrooms. From this rich and inspiring collection, readers may better understand, and possibly rethink, their own practices and research in empowering elementary teachers mathematically and pedagogically, as educators or researchers.
Author | : Praveen Agarwal |
Publisher | : Springer Nature |
Total Pages | : 635 |
Release | : 2021 |
Genre | : COVID-19 (Disease) |
ISBN | : 981162450X |
This edited volume is a collection of selected research articles discussing the analysis of infectious diseases by using mathematical modelling in recent times. Divided into two parts, the book gives a general and country-wise analysis of Covid-19. Analytical and numerical techniques for virus models are presented along with the application of mathematical modelling in the analysis of their spreading rates and treatments. The book also includes applications of fractional differential equations as well as ordinary, partial and integrodifferential equations with optimization methods. Probability distribution and their bio-mathematical applications have also been studied. This book is a valuable resource for researchers, scholars, biomathematicians and medical experts.
Author | : |
Publisher | : |
Total Pages | : 706 |
Release | : 2001 |
Genre | : Congresses and conventions |
ISBN | : |