iBerry

science and religion as historical phenomena that have evolved over time, Examines the earlier mind-set before 1700 when into science fitted elements that came eventually to be seen as magical, how Western cosmologies became "disenchanted", Magical tradition transformed into modern mysticisms, political implications, discussion concerning science in totalitarian settings as well as "big science" during Cold War
 

joint venture to implement an electronic archival system for slide-based presentations: Shaping the Future of Collaboration in Global Science Projects (28), University of Michigan (239), Workshop on Advanced Collaborative Environments (19), Atlas (489), CERN (114), ICSB (34)

major practical and conceptual issues in science journalism (how to find and research stories, exposing false claims, how to pitch to an editor, turning crisis reporting to advantage), topics that are relevant to beginners in journalism as well as more experienced reporters and editors in all regions of the world

Lecture notes corresponding to the content of the book, Educational Modules, Software Sources: Scientific Computing Systems of Linear Equations, Linear Least Squares, Eigenvalue Problems, Nonlinear Equations, Optimization, Interpolation, Numerical Integration and Differentiation, Problems for ODEs (Boundary Value, Initial Value), Partial Differential Equations, Fast Fourier Transform, Random Numbers and Simulation

inferential & causal view of scientific explanation, Van Fraassen's pragmatic view of explanation, Carnap vs. Popper, structure of scientific revolutions, paradigms & normal science, anomaly, crisis & non-cumulativity of paradigm shifts, incommensurability, hierarchical model of justification, theory of scientific justification, holist picture of scientific change, scientific realism vs. constructive empiricism, inference to best explanation, entity & convergent realism, measurement problem

Collection of videoed lectures, discussions etc on science and philosophy

interactive, research-based simulations of physical phenomena: ongoing effort to provide extensive suite of simulations to improve the way that physics, chemistry, biology, earth science and math are taught and learned

basic concepts of computer modeling and simulation in science and engineering: techniques and software for simulation, data analysis and visualization, Continuum, mesoscale, atomistic and quantum methods, Examples used to understand or characterize complex structures and materials & complement experimental observations