- published: 08 Jan 2014
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Mathematical and theoretical biology is an interdisciplinary scientific research field with a range of applications in biology, biotechnology, and medicine. The field is also called mathematical biology or biomathematics to stress the mathematical side, or theoretical biology to stress the biological side. Mathematical biology aims at the mathematical representation, treatment and modeling of biological processes, using a variety of applied mathematical techniques and tools. It has both theoretical and practical applications in biological, biomedical and biotechnology research. For example, in cell biology, protein interactions are often represented as "cartoon" models, which, although easy to visualize, do not accurately describe the systems studied. This requires precise mathematical models. Describing systems in a quantitative manner means their behavior can be better simulated, and hence properties can be predicted that might not be evident to the experimenter.
Wikipedia (i/ˌwɪkᵻˈpiːdiə/ or i/ˌwɪkiˈpiːdiə/ WIK-i-PEE-dee-ə) is a free-access, free-content Internet encyclopedia, supported and hosted by the non-profit Wikimedia Foundation. Those who can access the site can edit most of its articles. Wikipedia is ranked among the ten most popular websites, and constitutes the Internet's largest and most popular general reference work.
Jimmy Wales and Larry Sanger launched Wikipedia on January 15, 2001. Sanger coined its name, a portmanteau of wiki and encyclopedia. Initially only in English, Wikipedia quickly became multilingual as it developed similar versions in other languages, which differ in content and in editing practices. The English Wikipedia is now one of 291 Wikipedia editions and is the largest with 5,081,662 articles (having reached 5,000,000 articles in November 2015). There is a grand total, including all Wikipedias, of over 38 million articles in over 250 different languages. As of February 2014, it had 18 billion page views and nearly 500 million unique visitors each month.
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Biology is a natural science concerned with the study of life and living organisms, including their structure, function, growth, evolution, distribution, and taxonomy. Modern biology is a vast and eclectic field, composed of many branches and subdisciplines. However, despite the broad scope of biology, there are certain general and unifying concepts within it that govern all study and research, consolidating it into single, coherent fields. In general, biology recognizes the cell as the basic unit of life, genes as the basic unit of heredity, and evolution as the engine that propels the synthesis and creation of new species. It is also understood today that all organisms survive by consuming and transforming energy and by regulating their internal environment to maintain a stable and vital condition.
Subdisciplines of biology are defined by the scale at which organisms are studied, the kinds of organisms studied, and the methods used to study them: biochemistry examines the rudimentary chemistry of life; molecular biology studies the complex interactions among biological molecules; botany studies the biology of plants; cellular biology examines the basic building-block of all life, the cell; physiology examines the physical and chemical functions of tissues, organs, and organ systems of an organism; evolutionary biology examines the processes that produced the diversity of life; and ecology examines how organisms interact in their environment.
A mathematical model is a description of a system using mathematical concepts and language. The process of developing a mathematical model is termed mathematical modeling. Mathematical models are used in the natural sciences (such as physics, biology, earth science, meteorology) and engineering disciplines (such as computer science, artificial intelligence), as well as in the social sciences (such as economics, psychology, sociology, political science). Physicists, engineers, statisticians, operations research analysts, and economists use mathematical models most extensively. A model may help to explain a system and to study the effects of different components, and to make predictions about behaviour.
Mathematical models can take many forms, including but not limited to dynamical systems, statistical models, differential equations, or game theoretic models. These and other types of models can overlap, with a given model involving a variety of abstract structures. In general, mathematical models may include logical models. In many cases, the quality of a scientific field depends on how well the mathematical models developed on the theoretical side agree with results of repeatable experiments. Lack of agreement between theoretical mathematical models and experimental measurements often leads to important advances as better theories are developed.
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 01. Intro to Mathematical Modeling in Biology: Introduction to the Course View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamica...
In his talk Kit will introduce Mathematical Biology and explain why this relatively new discipline is so important for all our lives. Kit Yates is a lecturer in Mathematical Biology at the University of Bath and a popular science writer. Kit’s research has demonstrated, unexpectedly, that mathematics can be used to describe all sorts of phenomena from embryo formation to locust swarming and from sleeping sickness to egg-shell patterning. He is particularly interested in the role that randomness plays in Biology. He completed his PhD in Mathematics at the University of Oxford in 2011. His research into Mathematical Biology has been covered by the BBC, the Guardian, the Telegraph, the Mail, RTE and Reuters amongst others. Independently, his writing about the enjoyment and ubiquity of Mat...
A team of mathematicians are asked to spend five days cracking biological problems.
Paul Andersen (with the help of PatricJMT) explains why mathematics may be biology's next microscope. Dr. Joel Cohen's Journal article: http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.0020439 PatrickJMT on YouTube: http://www.youtube.com/patrickjmt Dr. Tomas Gedeon webpage: http://www.math.montana.edu/~gedeon/ Intro Music Atribution Title: I4dsong_loop_main.wav Artist: CosmicD Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/ Creative Commons Atribution License All images are either Public Domain or Creative Commons Attribution Licenses: 1weezie23. English: CT Imaging Suite. Own work. Accessed February 3, 2013. http://commons.wikimedia.org/wiki/File:CT_Scanner_Malizia.jpg. 2007, Kristian Peters-- Fabelfroh 09:12, 28 February. Punktiertes Wurzelster...
James D. Murray, Senior Scholar at Princeton University discusses the past, present and future of mathematical biology, from animal coat patterns to brain tumors. Murray gave his lecture on the occasion of Princeton University's centennial celebration of Alan Turing. Learn more at www.princeton.edu/turing #turingprinceton
TV Program I'd photographed in US 2 MATHEMATICAL BIOLOGY - J.D. Murray CHANNEL : EBS in Korea PROGRAM'S TITLE : Mathematics, The Design of Lives DATE AIRED : Oct 19 2009
Prof Carmen Molina-Paris from the School of Mathematics at the University of Leeds discusses population models, the concept of infinity, applications of mathematical biology, mathematical immunology and curing cancer (4.5.2016) http://www.heartofscience.co.uk/
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 02. Intro to Mathematical Modeling in Biology: Bacterial Growth View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical systems...
In July 2011, mathematical scientists from around the world gathered in Vancouver, BC, Canada for the 7th International Congress on Industrial and Applied Mathematics - ICIAM 2011. The meeting highlighted the most recent advances in the discipline and demonstrated their applicability to science, engineering and industry, emphasizing industrial applications and computational science in new and emerging topic areas identified by panels of top international scientists. Professors Maeve McCarthy, Benoit Perthame, Gerda de Vries and several other speakers outlined various aspects of mathematical modeling in studying biological processes such as evolution, ecology, and human and animal behavior. Created by Adam Bauser of Bauser Media Group
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 07. Intro to Mathematical Modeling in Biology: Stability Analysis View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical system...
For an ignite talk you have 20 slides in 5 minutes which proceed automatically every 15 seconds.
The National Institute for Mathematical and Biological Synthesis is a science synthesis center that explores the interface between math and biology. Sponsored by the the National Science Foundation, with additional support from The University of Tennessee, Knoxville, NIMBioS brings together the talents of researchers from around the world to collaborate across disciplinary boundaries and take an integrative approach to address the vast array of challenging questions in this 21st century of biology.
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 22. Intro to Mathematical Modeling in Biology: Subcritical Hopf View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical systems...
Paweł Golik -- geneticist and molecular biologist. Heads the Institute of Genetics and Biotechnology at the University of Warsaw. Works on genetics and evolution of mitochondria, RNA processing and mitochondrial diseases. Paweł talked about how the Human Genome Project changed our views on genetics.
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 04. Intro to Mathematical Modeling in Biology: Steady States and Linearization View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dy...
A talk by Bjarni V. Halldórsson on Alan Turing's work on mathematical biology. (Joint with the Icelandic Mathematical Society.) The talk was held in room M101 at Reykjavik University on the 15th of March 2012.
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 11. Intro to Mathematical Modeling in Biology: Single Species Population Models View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dy...
This lecture explains about the tips to solve Biology math problems in CSIR NET life science exam. This video tutorial is a part of the CSIR NET life science preparation series and explains the different math problems and topics from where life science questions are asked in CSIR UGC NET exam. Watch this video tutorial and learn how to answer All CSIR NET life science questions of Part C with simple explanations. Topics from where the biology math problems are asked in CSIR NET exam are- Mod 1 – Gibbs free energy, enzyme math, pH math Mod 2 – cell division, bacterial growth math Mod 3 – Meselson and Stahl math, DNA melting, GC ratio math, number of chromosome in a cell, genetic code problems Mod 6 – Water potential, solute potential math Mod 8 – Genetics math, pedigree problems, probabilit...
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 01. Intro to Mathematical Modeling in Biology: Introduction to the Course View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamica...
James D. Murray, Senior Scholar at Princeton University discusses the past, present and future of mathematical biology, from animal coat patterns to brain tumors. Murray gave his lecture on the occasion of Princeton University's centennial celebration of Alan Turing. Learn more at www.princeton.edu/turing #turingprinceton
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 02. Intro to Mathematical Modeling in Biology: Bacterial Growth View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical systems...
2013 HKUST Information Day Science Seminar - Mathematical Biology Speaker: Prof. J R CHASNOV
A talk by Bjarni V. Halldórsson on Alan Turing's work on mathematical biology. (Joint with the Icelandic Mathematical Society.) The talk was held in room M101 at Reykjavik University on the 15th of March 2012.
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 07. Intro to Mathematical Modeling in Biology: Stability Analysis View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical system...
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 20. Intro to Mathematical Modeling in Biology: Chemical Kinetics: Mass Action Law View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of...
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 03. Intro to Mathematical Modeling in Biology: Nondimensionalization View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical sys...
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 16. Intro to Mathematical Modeling in Biology: Michaelis Menten Enzyme Model View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynam...
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 17. Intro to Mathematical Modeling in Biology: Timescale Decomposition View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical s...
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 22. Intro to Mathematical Modeling in Biology: Subcritical Hopf View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical systems...
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 27. Intro to Mathematical Modeling in Biology: Final Review, Part 2 View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical syst...
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 11. Intro to Mathematical Modeling in Biology: Single Species Population Models View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dy...
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 04. Intro to Mathematical Modeling in Biology: Steady States and Linearization View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dy...
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 08. Intro to Mathematical Modeling in Biology: Phase Diagrams View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical systems in...
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 15. Intro to Mathematical Modeling in Biology: SIR Model View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical systems in the ...
Avner Friedman, Director, Mathematical Biosciences Institute, Ohio State University
Is mathematical description of biological process sufficient for modelling a biological theory? Can we invent some new mathematical tools in order to pinpoint a singular event? Is biological explanation different from physical one? Those question are posed by Dominique Lambert. This talk was delivered during the Copernicus Center International Seminar "The Concept of Explanation in Science, Philosophy and Theology".
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 10. Intro to Mathematical Modeling in Biology: Phase Diagrams III View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical system...