sábado, 15 de fevereiro de 2014
Mathematical Sorcery: Revealing the Secrets of Numbers
Calvin C. Clawson
Basic Books | 1999 | 301 páginas | rar - pdf | 5,5 Mb
link (password: matav)
There are two kinds of people: those who can do mathematics, and then there’s the rest of us.Math is boring.Females have no facility for mathematics (and really don’t need it, anyway).For many people who do not like math, these myths ring true.Calvin Clawson, the celebrated author of Mathematical Mysteries, has a unique talent for opening the door for the uninitiated to the splendors of mathematics. A writer in love with his subject, Clawson offers readers the perfect antidote to the phobias and misconceptions surrounding mathematics in MATHEMATICAL SORCERY. Contending that the power and beauty of mathematics are gifts in which we all can partake, he shows that the field of mathematics holds a bounty of wonder that can be reaped by any one of us in the hopes of discovering new truths.In this captivating quest for pure knowledge, Clawson takes us on a journey to the amazing discoveries of our ancient ancestors. He divulges the wisdom of the Ancient Greeks, Sumerians, Babylonians, and Egyptians, whose stunning revelations still have deep meaning to us today. The secrets of the constellations, the enigma of the golden mean, and the brilliance of a proof are just some of the breakthroughs he explores with unbridled delight.Enabling us to appreciate the achievements of Newton and other intellectual giants, Clawson inspires us through his eloquence and zeal to actually do mathematics, urging us to leap to the next level. He helps us intuitively comprehend and follow the very building blocks that too long have been a mystery to most of us, including infinity, functions, and the limit. As he elegantly states: “Mathematics is pursued not only for the sheer joy of the pursuit, as with the Ancient Greeks, but for the truths it reveals about our universe.” Through MATHEMATICAL SORCERY, we taste the fruit of knowledge that has eluded us until now.
Contents
Acknowledgments ..... ix
Introduction .... 1
Chapter 1: Early Counting ..... 9
Chapter 2: The Incredible Greeks ... 22
Chapter 3: Mathematical Proofs .. 55
Chapter 4: Passing the Torch ... 80
Chapter 5: Opening the Door .. 115
Chapter 6: Functions ... 133
Chapter 7: Stretching Space ... 176
Chapter 8: Extending the Form .... 211
Chapter 9: Isaac Newton ... 228
Chapter 10: Calculus.... 248
Chapter 11: Speculations on the Nature of Mathematics ... 281
Endnotes ... 286
Index ... 291
Understandable Statistics: Concepts and Methods
Cengage Learning | 2011 -10ª edição | 844 páginas | pdf | 54 Mb
link
link1
UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Tenth Edition, is a thorough, yet accessible program designed to help readers overcome their apprehensions about statistics. The authors provide clear guidance and informal advice while showing the links between statistics and the world. To reinforce this approach--and make the material interesting as well as easier to understand--the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. Readers also have opportunities to develop their critical thinking and statistical literacy skills through special features and exercises throughout the text. The use of graphing calculators, Excel, MINITAB, and SPSS is covered for those who wish to learn about these helpful tools
Contents
Preface xv
Table of Prerequisite Material 1
1 Getting Started 2
FOCUS PROBLEM: Where Have All the Fireflies Gone? 3
1.1 What Is Statistics? 4
1.2 Random Samples 12
1.3 Introduction to Experimental Design 21
Summary 30
Important Words & Symbols 30
Chapter Review Problems 31
Data Highlights: Group Projects 34
Linking Concepts: Writing Projects 34
USING TECHNOLOGY 35
2 Organizing Data 38
FOCUS PROBLEM: Say It with Pictures 39
2.1 Frequency Distributions, Histograms, and Related Topics 40
2.2 Bar Graphs, Circle Graphs, and Time-Series Graphs 54
2.3 Stem-and-Leaf Displays 63
Summary 71
Important Words & Symbols 71
Chapter Review Problems 72
Data Highlights: Group Projects 75
Linking Concepts: Writing Projects 77
USING TECHNOLOGY 78
3 Averages and Variation 80
FOCUS PROBLEM: The Educational Advantage 81
3.1 Measures of Central Tendency: Mode, Median, and Mean 82
3.2 Measures of Variation 93
3.3 Percentiles and Box-and-Whisker Plots 110
Summary 120
Important Words & Symbols 120
Chapter Review Problems 121
4 Elementary Probability Theory 130
FOCUS PROBLEM: How Often Do Lie Detectors Lie? 131
4.1 What Is Probability? 132
4.2 Some Probability Rules—Compound Events 142
4.3 Trees and Counting Techniques 162
Summary 172
Important Words & Symbols 173
Chapter Review Problems 174
Data Highlights: Group Projects 176
Linking Concepts: Writing Projects 178
USING TECHNOLOGY 179
5 The Binomial Probability
Distribution and Related Topics 180
FOCUS PROBLEM: Personality Preference Types: Introvert or Extrovert? 181
5.1 Introduction to Random Variables and Probability Distributions 182
5.2 Binomial Probabilities 195
5.3 Additional Properties of the Binomial Distribution 210
5.4 The Geometric and Poisson Probability Distributions 222
Summary 239
Important Words & Symbols 240
Chapter Review Problems 241
Data Highlights: Group Projects 244
Linking Concepts: Writing Projects 245
USING TECHNOLOGY 247
6 Normal Curves and Sampling
Distributions 248
FOCUS PROBLEM: Impulse Buying 249
6.1 Graphs of Normal Probability Distributions 250
6.2 Standard Units and Areas Under the Standard Normal Distribution 266
6.3 Areas Under Any Normal Curve 276
6.4 Sampling Distributions 291
6.5 The Central Limit Theorem 296
6.6 Normal Approximation to Binomial Distribution and to Distribution 308
Summary 318
Important Words & Symbols 319
Chapter Review Problems 319
Data Highlights: Group Projects 322
Linking Concepts: Writing Projects 323
USING TECHNOLOGY 325
CUMULATIVE REVIEW PROBLEMS: Chapters 4–6 329
7 Estimation 332
FOCUS PROBLEM: The Trouble with Wood Ducks 333
7.1 Estimating m When s Is Known 334
7.2 Estimating m When s Is Unknown 347
7.3 Estimating p in the Binomial Distribution 360
7.4 Estimating m1 m2 and p1 p2 372
Summary 395
Important Words & Symbols 395
Chapter Review Problems 396
Data Highlights: Group Projects 400
Linking Concepts: Writing Projects 402
USING TECHNOLOGY 404
8 Hypothesis Testing 408
FOCUS PROBLEM: Benford’s Law: The Importance of Being Number 1 409
8.1 Introduction to Statistical Tests 410
8.2 Testing the Mean m 425
8.3 Testing a Proportion p 442
8.4 Tests Involving Paired Differences (Dependent Samples) 452
8.5 Testing m1 m2 and p1 p2 (Independent Samples) 466
Summary 490
Finding the P-Value Corresponding to a Sample Test Statistic 491
Important Words & Symbols 491
Chapter Review Problems 492
Data Highlights: Group Projects 495
Linking Concepts: Writing Projects 496
USING TECHNOLOGY 497
9 Correlation and Regression 500
FOCUS PROBLEM: Changing Populations and Crime Rate 501
9.1 Scatter Diagrams and Linear Correlation 502
9.2 Linear Regression and the Coefficient of Determination 520
9.3 Inferences for Correlation and Regression 541
9.4 Multiple Regression 559
Summary 575
Important Words & Symbols 575
Chapter Review Problems 576
Data Highlights: Group Projects 579
Linking Concepts: Writing Projects 580
USING TECHNOLOGY 581
CUMULATIVE REVIEW PROBLEMS: Chapters 7–9 586
10 Chi-Square and F Distributions 590
FOCUS PROBLEM: Archaeology in Bandelier National Monument 591
Part I: Inferences Using the Chi-Square Distribution 592
Overview of the Chi-Square Distribution 592
10.1 Chi-Square: Tests of Independence and of Homogeneity 593
10.2 Chi-Square: Goodness of Fit 608
10.3 Testing and Estimating a Single Variance or Standard Deviation 618
Part II: Inferences Using the F Distribution 630
Overview of the F Distribution 630
10.4 Testing Two Variances 631
10.5 One-Way ANOVA: Comparing Several Sample Means 640
10.6 Introduction to Two-Way ANOVA 656
Summary 668
Important Words & Symbols 668
Chapter Review Problems 669
Data Highlights: Group Projects 672
Linking Concepts: Writing Projects 673
USING TECHNOLOGY 674
11 Nonparametric Statistics 676
FOCUS PROBLEM: How Cold? Compared to What? 677
11.1 The Sign Test for Matched Pairs 678
11.2 The Rank-Sum Test 686
11.3 Spearman Rank Correlation 694
11.4 Runs Test for Randomness 705
Summary 714
Important Words & Symbols 714
Chapter Review Problems 714
Data Highlights: Group Projects 716
Linking Concepts: Writing Projects 717
CUMULATIVE REVIEW PROBLEMS: Chapters 10–11 718
Appendix I: Additional Topics A1
Part I: Bayes’s Theorem A1
Part II: The Hypergeometric Probability Distribution A5
Appendix II: Tables A9
Table 1: Random Numbers A9; Table 2: Binomial Coefficients Cn,r A10; Table 3: Binomial
Probability Distribution Cn,r pr qn r A11; Table 4: Poisson Probability Distribution A16;
Table 5: Areas of a Standard Normal Distribution A22; Table 6: Critical Values for
Student’s t Distribution A24; Table 7: The Distribution A25; Table 8: Critical Values
for F Distribution A26; Table 9: Critical Values for Spearman Rank Correlation, rs A36;
Table 10: Critical Values for Number of Runs R A37
Answers and Key Steps to Odd-Numbered Problems A39
Answers to Selected Even-Numbered Problems A74
Index I1
sexta-feira, 14 de fevereiro de 2014
Handbook on the History of Mathematics Education
Springer | 2014 | 627 páginas | rar - pdf | 4,9 Mb
link (password: matav)
This is the first comprehensive International Handbook on the History of Mathematics Education, covering a wide spectrum of epochs and civilizations, countries and cultures. Until now, much of the research into the rich and varied history of mathematics education has remained inaccessible to the vast majority of scholars, not least because it has been written in the language, and for readers, of an individual country. And yet a historical overview, however brief, has become an indispensable element of nearly every dissertation and scholarly article. This handbook provides, for the first time, a comprehensive and systematic aid for researchers around the world in finding the information they need about historical developments in mathematics education, not only in their own countries, but globally as well.
Although written primarily for mathematics educators, this handbook will also be of interest to researchers of the history of education in general, as well as specialists in cultural and even social history.
Contents
Part I History and Methodology of the Field
1 On Historiography of Teaching and Learning Mathematics .... 3
Gert Schubring
2 The History of Mathematics Education: Developing a Research Methodology ... 9
Alexander Karp
Part II Mathematics Education in Different Epochs and in Different Regions: Antiquity and the Middle Ages
3 Mathematics Education in Antiquity .... 27
Alain Bernard, Christine Proust, and Micah Ross
4 Mathematics Education in Oriental Antiquity and Middle Ages .... 55
Agathe Keller and Alexei Volkov
5 Teaching the Mathematical Sciences in Islamic Societies Eighth–Seventeenth Centuries .... 85
Sonja Brentjes
6 Mathematics Education in the European Middle Ages .... 109
Jens Høyrup
Part III Mathematics Education in Different Epochs and in Different Regions: Premodern Period
Introduction .... 125
7 Mathematics Education in Europe in the Premodern Times .. 129
Alexander Karp and Gert Schubring
8 History of Mathematics Education in East Asia in Premodern Times... 153
Andrea Bréard and Annick Horiuchi
9 Mathematics Education in America in the Premodern Period.. 175
Ubiratan D’Ambrosio, Joseph W. Dauben, and Karen Hunger Parshall
Part IV Mathematics Education in Different Epochs and in Different Regions: Modern Period
Introduction ... 197
10 Secondary School Mathematics Teaching from the Early Nineteenth Century to the Mid-Twentieth Century in Italy ... 201
Livia Giacardi and Roberto Scoth
11 Mathematics Education in France: 1800–1980
Hélène Gispert
12 Mathematics Education in Germany (Modern Times).. 241
Gert Schubring
13 Mathematics Education in the United Kingdom.....257
Geoffrey Howson and Leo Rogers
14 Mathematics Education in Spain and Portugal ... 283
Elena Ausejo and José Manuel Matos
15 Mathematics Education in Russia .... 303
Alexander Karp
16 Mathematics Education in the United States and Canada... 323
Jeremy Kilpatrick
17 Mathematics Education in Latin America .... 335
João Bosco Pitombeira de Carvalho
18 Mathematics Education in Modern Asia.... 361
Joseph W. Dauben, Lee Peng Yee, Dhruv Raina, and Yibao Xu
19 Mathematics Education in Africa ... 391
Alexander Karp, Charles Opolot-Okurut, and Gert Schubring
20 Mathematics Education in Islamic Countries in the Modern Time:Case Study of Tunisia .. 405
Mahdi Abdeljaouad
Part V History of Teaching Mathematical Subjects in School
21 History of Teaching Arithmetic ... 431
Kristín Bjarnadóttir
22 Notes for a History of the Teaching of Algebra .... 459
João Pedro da Ponte and Henrique Manuel Guimarães
23 History of Teaching Geometry .. 473
Evelyne Barbin and Marta Menghini
24 History of Teaching Calculus ... 493
Luciana Zuccheri and Verena Zudini
25 History of Teaching Vocational Mathematics .... 515
Rudolf Sträßer
26 Mathematics Teaching Practices ... 525
Amy Ackerberg-Hastings
Part VI Issues and Processes Across Borders
27 History of International Cooperation in Mathematics Education ... 543
Fulvia Furinghetti
28 History of Tools and Technologies in Mathematics Education .. 565
David Lindsay Roberts
29 History of Mathematics Teacher Education .... 579
Harm Jan Smid
About the Authors .. 597
Name Index ..... 605
Subject Index .625
Problem Solving and Comprehension
Routledge | 2013 - 7.ª edição | 441 páginas | rar - pdf | 948 kb
link (password: matav)
pdf - 6,8 Mb - link
6.ª edição - 1999
This popular book shows students how to increase their power to analyze problems and comprehend what they read using the Think Aloud Pair Problem Solving [TAPPS] method. First it outlines and illustrates the method that good problem solvers use in attacking complex ideas. Then it provides practice in applying this method to a variety of comprehension and reasoning questions, presented in easy-to-follow steps. As students work through the book they will see a steady improvement in their analytical thinking skills and become smarter, more effective, and more confident problem solvers. Not only can using the TAPPS method assist students in achieving higher scores on tests commonly used for college and job selection, it teaches that problem solving can be fun and social, and that intelligence can be taught.
Changes in the Seventh Edition: New chapter on "open-ended" problem solving that includes inductive and deductive reasoning; extended recommendations to teachers, parents, and tutors about how to use TAPPS instructionally; Companion Website with PowerPoint slides, reading lists with links, and additional problems.
CONTENTS
Preface to the Seventh Edition ix
Preface to the Sixth Edition xi
1. Test Your Mind—See How It Works 1
2. Errors in Reasoning 11
3. Problem-Solving Methods 21
4. Verbal Reasoning Problems 43
5. Six Myths About Reading 139
6 Analogies 143
7. Writing Relationship Sentences 157
8. How to Form Analogies 173
9. Analysis of Trends and Patterns 195
10. Deductive and Hypothetical Thinking Through Days of the Week 223
11. Solving Mathematical Word Problems 241
12. Open-Ended Problem Solving 335
13. The Post-WASI Test 356
14. Meeting Academic and Workplace Standards: How This Book Can Help 364
15. How to Use Pair Problem Solving: Advice for Teachers, Parents, Tutors, and Helpers of All Sorts 383
Appendix 1. Answer Key 400
Appendix 2. Compute Your Own IQ 420
References 421
Cases of Assessment in Mathematics Education: An ICMI Study
Springer | 1993 ; edição de 2013 | 215 páginas | pdf | 5,9 Mb
link
This book is one of the first to present a variety of carefully selected cases to describe and analyze in depth and considerable detail assessment in mathematics education in various interesting places in the world. The book is based on work presented at an invited international ICMI seminar and includes contributions from first rate scholars from Europe, North America, the Caribbean, Asia and Oceania, and the Middle East.
The cases presented range from thorough reviews of the state of assessment in mathematics education in selected countries, each possessing `archetypical' characteristics of assessment, to innovative or experimental small or large scale assessment initiatives. All the cases presented have been implemented in actual practice.
The book will be particularly stimulating reading for mathematics educators -- at all levels -- who are concerned with the innovation of assessment modes in mathematics education, as well as everybody working in the field of mathematics education: in research and development, in curriculum planning, assessment institutions and agencies, mathematics specialists in ministries, teacher trainers, textbook authors, frontline teachers.
TABLE OF CONTENTS
MOGENS NISS
Introduction 1
LUIS RICO
Mathematics Assessment in the Spanish Educational System 9
DESMOND R. BROOMES & JAMES A. HALLIDAY
Major Issues in Assessing Mathematics Performance at 16+ Level: A Caribbean Perspective 21
MURAD JURDAK
Assessment in Mathematics Education in the Arab Countries 35
JOHN A. DOSSEY & JANE O. SWAFFORD
Issues in Mathematics Assessment in the United States 43
EDWARD A. SILVER & SUZANNE LANE
Assessment in the Context of Mathematics Instruction Reform: the Design of Assessment in the QUASAR Project 59
MARGARET BROWN
Assessment in Mathematics Education: Developments in Philosophy and Practice in the United Kingdom 71
CHRIS LITTLE
The School Mathematics Project: Some Secondary School Assessment Initiatives in England 85
LUCIANA BAZZINI
The Teaching/Learning Process and Assessment Practice: Two Intertwined Sides of Mathematics Education 99
GUNNAR GJONE
Types of Problems and How Students in Norway Solve Them 107
HANS NYGAARD JENSEN
Assessment of Primary and Lower Secondary Mathematics in Denmark 119
KIRSTEN HERMANN & BENT HIRSBERG
Assessment in Upper Secondary Mathematics in Denmark 129
WIM KLEUNE & HENK SCHURING
Assessment of Examinations in the Netherlands 139
MAX STEPHENS & ROBERT MONEY
New Developments in Senior Secondary Assessment in Australia 155
LEONOR CUNHA LEAL & PAULO ABRANTES
Assessment in an Innovative Curriculum Project for Mathematics in Grades 7-9 in Portugal
WEI CHAO-QUN & ZHANG HUI
Educational Assessment in Mathematics Teaching: Applied Research in China
CHENG ZEMIN & LV SHAOZHENG
The Practice and Study of Evaluating Mathematics Teaching in China
RUTH K. SWEETNAM
Assessment in Mathematics Within the International Baccalaureate 203
Index 213
The Place of mathematics in modern education
NCTM Yearbooks, 11.º
NCTM | 1936 | 284 páginas | pdf |
online: ERIC
Contents
Attacks on mathematics and how to meet them / W.D. Reeve
The reorganization of secondary education / William Betz
The meaning of mathematics / E.T. Bell
The contribution of mathematics to civilization / David Eugene Smith
The contribution of mathematics to education / Cyril Ashford
Mathematics in general education / W. Leitzmann
Mathematics as related to other great fields of knowledge / Georg Wolff
Form and appreciation / Griffith C. Evans
NCTM | 1936 | 284 páginas | pdf |
online: ERIC
Contents
Attacks on mathematics and how to meet them / W.D. Reeve
The reorganization of secondary education / William Betz
The meaning of mathematics / E.T. Bell
The contribution of mathematics to civilization / David Eugene Smith
The contribution of mathematics to education / Cyril Ashford
Mathematics in general education / W. Leitzmann
Mathematics as related to other great fields of knowledge / Georg Wolff
Form and appreciation / Griffith C. Evans
Mathematical Modelling Education, Engineering And Economics
ICTMA 12
Christopher Haines, Peter Galbraith, Werner Blum e Sanowar Khan
Woodhead Publishing | 2007 | 511 páginas | rar - pdf | 63,6 Mb
link (password: matav)
This book continues the ICTMA tradition of influencing teaching and learning in the application of mathematical modelling. Each chapter shows how real life problems can be discussed during university lectures, in school classrooms and industrial research. International experts contribute their knowledge and experience by providing analysis, insight and comment whilst tackling large and complex problems by applying mathematical modelling. This book covers the proceedings from the Twelfth International Conference on the Teaching of Mathematical Modelling and Applications.
- Covers the proceedings from the Twelfth International Conference on the Teaching of Mathematical Modelling and Applications
- Continues the ICTMA tradition of influencing teaching and learning in the application of mathematical modelling
- Shows how real life problems can be discussed during university lectures, in school classrooms and industrial research
TABLE OF CONTENTS
Preface v
MODEL TRANSITIONS IN A REAL WORLD v
ICTMA12 - THE CONFERENCE vii
ICTMA xi
ICTMA Books xii
Acknowledgements xiii
Section 1: Models and Modelling in Reality 1
1.1 Communicating big themes in applied mathematics 2
Julian Hunt FRS, University College, London, UK
1.2 Economic modelling: Theory, reality, uncertainty and 25
decision-making
Kate Barker, Bank of England, UK
Section 2: Modelling Constructs in Education 43
2.1 Dreaming a 'possible dream': More windmills to conquer 44
Peter Galbraith, University of Queensland, Australia
2.2 Modelling in class: What do we want the students 63
to learn?
Katja Maaß, University of Education, Freiburg, Germany
2.3 Learning by constructing and sharing models 79
Celia Hoyles and Richard Noss, Institute of Education, University of London, UK
Section 3: Recognising Modelling Competencies 89
3.1 Exemplar models: Expert-novice student behaviours 90
Rosalind Crouch, University of Hertfordshire
and Christopher Haines, City University, London, UK
3.2 A teaching experiment in mathematical modelling 101
Toshikazu Ikeda, Yokohama National University, Japan
Max Stephens, University of Melbourne, Australia
and Akio Matsuzaki, Tsukuba University, Japan
3.3 Modelling and modelling competencies in school 110
Gabriele Kaiser, University of Hamburg, Germany
3.4 Exploring university students' competencies in modelling 120
France Caron and Jacques Bélair, Université de Montréal, Canada
3.5 Facilitating middle secondary modelling competencies 130
Peter Galbraith, University of Queensland, Australia
Gloria Stillman and Jill Brown, University of Melbourne
and Ian Edwards, Luther College, Melbourne, Australia
3.6 Assessing mathematical modelling competency 141
Tomas Højgaard Jensen, The Danish University of Education, Denmark
3.7 A stochastic model for the modelling process 149
Michael Voskoglou, Higher Technological Educational Institute, Patras, Greece
3.8 Assessing progress in mathematical modelling 158
John Izard, RMIT University, Melbourne, Australia
3.9 An introduction to CUMCM
Qiyuan Jiang and Jinxing Xie, Tsinghua University, China 168
and Qixiao Ye, Beijing Institute of Technology, China
Section 4: Everyday Aspects of Modelling 'Literacy' 176
4.1 Functional mathematics and teaching modelling 177
Hugh Burkhardt, University of Nottingham, UK
4.2 Modelling and the critical use of mathematics 187
Jussara de Loiola Araújo, Universidade Federal de Minas Gerais (UFMG), Brazil
4.3 Learners’ context preferences and mathematical literacy 195
Cyril Julie, University of the Western Cape, South Africa
4.4 ‘Real world’ interactions for adult basic numeracy tutors 203
Yvonne Hillier, City University, London, UK
4.5 Math modelling: What skills do employers want in industry? 212
ManMohan Sodhi and Byung-Gak Son, City University, London, UK
Section 5: Cognitive Perspectives on Modelling 221
5.1 How do students and teachers deal with modelling problems? 222
Werner Blum and Dominik Leiß, University of Kassel, Germany
5.2 Teacher-student interactions in mathematical modelling 232
Jonei Cerqueira Barbosa, State University of Feira de Santana, Brazil
5.3 Mathematical modelling: A teachers' training study 241
José Ortiz, University of Carabobo, Venezuela,
Luis Rico and Enrique Castro, University of Granada, Spain
5.4 Mathematics in the physical sciences: Multiple perspectives 250
Geoff Wake and Graham Hardy, University of Manchester, UK
5.5 Modelling problems from a cognitive perspective 260
Rita Borromeo Ferri, University of Hamburg, Germany
5.6 An explorative study on realistic mathematical modelling 271
Cinzia Bonotto, University of Padova, Italy
5.7 Student reasoning when models and reality conflict 281
Jerry Legé, California State University, Fullerton, USA
5.8 The concept of the derivative in modelling and applications 288
Gerrit Roorda, Pauline Vos and Martin Goedhart, University of Groningen, The Netherlands
5.9 Inequalities as modelling tools in computing applications 294
Sergei Abramovich, State University of New York at Potsdam, USA
Section 6: The Practice of Modelling 303
6.1 Integration of energy issues in mathematics classrooms 304
Astrid Brinkmann, Berufskolleg Iserlohn, University of Dortmund
and Klaus Brinkmann, University of Trier, Umwelt Campus, Birkenfeld, Germany
6.2 Models of ecology in teaching engineering mathematics 314
Norbert Gruenwald and Gabriele Sauerbier,
Wismar University of Technology, Germany,
Tatyana Zverkova, Odessa National University, Ukraine
and Sergiy Klymchuk, Auckland University of Technology, New Zealand
6.3 Modelling as an integrated part of the class on calculus 323
Adolf Johannes Riede, Ruprecht-Karls-Universität, Heidelberg, Germany
6.4 Case study: Leak detection in a pipeline 332
Andrei Kolyshkin, Riga Technical University, Latvia
6.5 Discrete and continuous models for the evolution of 340
lizard populations
Michael Jones and Arup Mukherjee, Montclair State University, New Jersey, USA
6.6 Modelling and problem solving in billiards 349
Burkhard Alpers, Aalen University of Applied Sciences: Germany
6.7 The lottery of Casanova 359
Hans-Wolfgang Henn and Andreas Büchter, University of Dortmund, Germany
6.8 Model transitions in the real world: The Catwalk problem 368
Thomas Lingefjärd and Mikael Holmquist, Gothenburg University, Sweden
6.9 Fractal image compression 377
Franceso Leonetti, University of L’Aquila, Italy
6.10 Modelling heat flow in work rolls 386
Leticia Corral, Instituto Tecnológico de Cd. Cuauhtémoc, Chihuahua, Mexico,
Rafael Colás, UANL, San Nicolás de los Garza, Mexico and Antonino Hernández,
Centro de Investigación en Materiales
Centro de Investigación en Materiales
Avanzados, Chihuahua, México
6.11 Applications of modelling in engineering and technology 395
Sanowar Khan, Kenneth Grattan and Ludwik Finkelstein, City University, London, UK
Section 7: Behaviours in Engineering and Applications 405
7.1 Mathematics in architecture education 406
Igor Verner and Sarah Maor, Technion – Israel Institute of Technology
7.2 Modelling in Engineering: Advantages and difficulties 415
Maria Salett Biembengut and Nelson Hein, Universidade Regional de Blumenau, Brazil
7.3 Modelling: Difficulties for novice engineering students 424
Marta Anaya, María Inés Cavallaro and María Cristina Domínguez,
University of Buenos Aires, Argentina
7.4 Integration of applications in the Technion calculus course 433
Shuki Aroshas, Igor Verner and Abraham Berman, Technion – Israel Institute of Technology
7.5 Mathematical modelling modules for calculus teaching 443
Qiyuan Jiang and Jinxing Xie, Tsinghua University, China
and Qixiao Ye, Beijing Institute of Technology, China
7.6 An experimental approach to teaching modelling 451
Ken Houston and Mark McCartney, University of Ulster, UK
7.7 Modelling for pre-service teachers 458
Susann Mathews and Michelle Reed, Wright State University, Dayton, Ohio, USA
7.8 The Finnish Network for mathematical modelling 465
Robert Piché, Seppo Pohjolainen, Kari Suomela, Kirsi Silius and Anne-Maritta Tervakari, Tampere University of Technology, Finland
7.9 Learning environment through modelling and computing 473
Regina Lino Franchi, Methodist University of Piracicaba, Brazil
7.10 Modelling is for reasoning 480
Luís Soares Barbosa and Maria Helena Martinho, Minho University, Braga, Portugal
Authors’ contact email addresses 490
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