tag:jose.theoj.org,2005:/papers/tagged/Computational%20ModelingJournal of Open Source Education2022-12-14T15:47:40ZJournal of Open Source Educationhttps://jose.theoj.orgtag:jose.theoj.org,2005:Paper/1572022-12-14T15:47:40Z2023-06-20T00:00:45ZAn Active Learning Laboratory Manual for Teaching a Contemporary Undergraduate Operating System Courseacceptedv1.0.02021-11-12 18:59:42 UTC582022-12-14 15:47:40 UTC52022162SaverioPeruginiDepartment of Computer Science, University of Dayton, 300 College Park, Dayton, Ohio 45469--0280 USA0000-0002-1736-4009ZhongmeiYaoDepartment of Computer Science, University of Dayton, 300 College Park, Dayton, Ohio 45469--0280 USA0000-0002-8055-7110PhuH.PhungDepartment of Computer Science, University of Dayton, 300 College Park, Dayton, Ohio 45469--0280 USA0000-0002-4674-1184AndrewRettigDepartment of Geology and Environmental Geosciences, University of Dayton, 300 College Park, Dayton, Ohio 45469--2364 USAAdamR.BryantDepartment of Computer Science and Engineering, Wright State University, 3640 Colonel Glenn Hwy, Dayton, Ohio 45435 USARustyO.BaldwinDepartment of Computer Science, University of Dayton, 300 College Park, Dayton, Ohio 45469--0280 USADavidJ.WrightLearning Teaching Center, University of Dayton, 300 College Park, Dayton, Ohio 45469--1302 USAJohnC.GallagherDepartment of Computer Science and Engineering, Wright State University, 3640 Colonel Glenn Hwy, Dayton, Ohio 45435 USA10.21105/jose.00162https://doi.org/10.5281/zenodo.7200056Chttps://jose.theoj.org/papers/10.21105/jose.00162.pdfoperating systems, pedagogy, active learning, lab exercises, learning modules, Linux, Internet of Things, concurrency, synchronization, Communicating Sequential Processes (CSP), Go, Actor model, Elixir, cloud computing, big datatag:jose.theoj.org,2005:Paper/712022-04-27T20:33:30Z2022-04-28T14:55:23ZEPIDEMIC: Epidemiology Educational Codeaccepted1.0.02021-03-02 18:15:56 UTC502022-04-27 20:33:30 UTC52022149BrunaPavlackFederal Institute of Mato Grosso do Sul, State University of São Paulo0000-0002-6807-0916MalúGraveFederal University of Rio de Janeiro0000-0002-7697-0658EberDantasFederal University of Rio de Janeiro0000-0003-2693-0719JulioBasilioRio de Janeiro State University0000-0003-1040-735XLeonardode la RocaRio de Janeiro State University0000-0003-2896-228XJoãoPedroNorenbergState University of São Paulo0000-0003-3558-4053MichelTosinRio de Janeiro State University0000-0002-0112-553XLucasChavesFederal University of Uberlândia0000-0003-4567-2006DiegoMatosRio de Janeiro State University0000-0002-6711-8500MarcosIssaRio de Janeiro State University0000-0002-2811-4929RobertoLuoRio de Janeiro State University0000-0002-3822-4945AmandaCunhaGuytCity College of San Francisco0000-0001-8575-3594LuthianaSoaresFederal University of Pampa0000-0001-5314-0881RodrigoBurgosRio de Janeiro State University0000-0003-0326-395XLisandroLovisoloRio de Janeiro State University0000-0002-7404-9371AmericoCunhaRio de Janeiro State University0000-0002-8342-036310.21105/jose.00149https://doi.org/10.5281/zenodo.5930686Matlabhttps://jose.theoj.org/papers/10.21105/jose.00149.pdfepidemiology teaching, educational code, computational models, compartmental models, trend and forecast graphstag:jose.theoj.org,2005:Paper/1542022-01-26T22:07:11Z2022-01-27T00:01:05ZComputational models of human social behavior and neuroscience: An open educational course and Jupyter Book to advance computational trainingacceptedv1.0.02021-09-28 04:04:03 UTC472022-01-26 22:07:11 UTC52022146ShawnA.RhoadsGeorgetown University0000-0003-1350-9458LinGanGeorgetown University0000-0002-7775-211810.21105/jose.00146https://doi.org/10.5281/zenodo.5907205https://jose.theoj.org/papers/10.21105/jose.00146.pdfComputational Modeling, Cognitive Modeling, Model Comparison, Linear Modeling, Nonlinear Modeling, Reinforcement Learning, Psychological Science, Social Psychology, Social Behavior, Behavioral Science, Cognitive Science, Data Science, Cognitive Neuroscience, Python, Jupyter Booktag:jose.theoj.org,2005:Paper/462021-06-27T22:18:28Z2021-06-28T00:02:21ZAn open source crash course on parameter estimation of computational models using a Bayesian optimization approachacceptedv1.0.02020-04-07 10:37:11 UTC402021-06-27 22:18:28 UTC4202189MojtabaBarzegariBiomechanics Section, Department of Mechanical Engineering, KU Leuven, Belgium0000-0002-1456-0610LiesbetGerisBiomechanics Section, Department of Mechanical Engineering, KU Leuven, Belgium, Biomechanics Research Unit, GIGA in Silico Medicine, University of Liège, Belgium0000-0002-8180-144510.21105/jose.00089https://doi.org/10.5281/zenodo.5013865Jupyter Notebook, Pythonhttps://jose.theoj.org/papers/10.21105/jose.00089.pdfinverse problems, parameter estimation, partial differential equations, Bayesian optimization