000			a
999			_c31020 _d31020
008			220608b xxu||||| |||| 00| 0 eng d
020			_a9783030560690
082			_a519.2 _bOKT
100			_aOkten, Giray
245			_aProbability and simulation
260			_bSpringer, _c2020 _aCham :
300			_ax, 152 p. ; _bill., _c24 cm
365			_b17.99 _cEUR _d86.00
490			_aSpringer Undergraduate Texts in Mathematics and Technology
504			_aIncludes Bibliographical references and Index.
520			_aThis undergraduate textbook presents an inquiry-based learning course in stochastic models and computing designed to serve as a first course in probability. Its modular structure complements a traditional lecture format, introducing new topics chapter by chapter with accompanying projects for group collaboration. The text addresses probability axioms leading to Bayes’ theorem, discrete and continuous random variables, Markov chains, and Brownian motion, as well as applications including randomized algorithms, randomized surveys, Benford’s law, and Monte Carlo methods. Adopting a unique application-driven approach to better study probability in action, the book emphasizes data, simulation, and games to strengthen reader insight and intuition while proving theorems. Additionally, the text incorporates codes and exercises in the Julia programming language to further promote a hands-on focus in modelling. Students should have prior knowledge of single variable calculus. Giray Ökten received his PhD from Claremont Graduate University. He has held academic positions at University of Alaska Fairbanks, Ball State University, and Florida State University. He received a Fulbright U.S. Scholar award in 2015. His research interests include Monte Carlo methods and computational finance.
650			_aProbabilities
650			_aMathematical models
650			_aSimulation
650			_aTheoretical Probabilities
942			_2ddc _cBK