000			02121 a2200265 4500
999			_c51074 _d51074
008			191023b ||||| |||| 00| 0 eng d
020			_a9783319296364
082			_a570.151 CHO
100			_aChou, Ching Shan
245			_aIntroduction to mathematical biology: modeling, analysis, and simulations
260			_bSpringer Nature, _c2016 _aSwitzerland:
300			_avii, 172p. _bhb; _c24 cm
365			_aEURO _b44.99
440			_aSpringer undergraduate texts in mathematics and technology, 1867-5506.
520			_aThis book is based on a one semester course that the authors have been teaching for several years, and includes two sets of case studies. The first includes chemostat models, predator-prey interaction, competition among species, the spread of infectious diseases, and oscillations arising from bifurcations. In developing these topics, readers will also be introduced to the basic theory of ordinary differential equations, and how to work with MATLAB without having any prior programming experience. The second set of case studies were adapted from recent and current research papers to the level of the students. Topics have been selected based on public health interest. This includes the risk of atherosclerosis associated with high cholesterol levels, cancer and immune interactions, cancer therapy, and tuberculosis. Readers will experience how mathematical models and their numerical simulations can provide explanations that guide biological and biomedical research. Considered to be the undergraduate companion to the more advanced book "Mathematical Modeling of Biological Processes" (A. Friedman, C.-Y. Kao, Springer - 2014), this book is geared towards undergraduate students with little background in mathematics and no biological background.
650			_aBiomathematics.
650			_aMathematics.
650			_aMathematics -- Applied.
650			_aScience -- Life Sciences -- Biophysics.
650			_aMathematical Modelling.
650			_aLife Sciences: General Issues.
650			_aMaths for Scientists.
700			_aFriedman, Avner
942			_2ddc _cTD