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Explore a wide range of free and certified Forensic science online courses. Find the best Forensic science training programs and enhance your skills today!
Create effective science and engineering photographs using cameras, flatbed scanners, and mobile devices; apply lighting and composition, design journal figures, and evaluate generative AI ethics.
Build and analyze probabilistic models: random variables, distributions, means and variances, probabilistic calculations, inference methods, laws of large numbers, and random processes.
Philosophy of mind tested against psychology and neuroscience: innate concepts, mental images, color, and whether consciousness can have a science, with guest researchers.
Use citizen science to frame climate problems, measure methane leaks, collect field data, and support environmental legal action and community carbon reduction.
The course covers basic principles of atomic and molecular electronic structure, thermodynamics, acid-base and redox equilibria, chemical kinetics, and catalysis.
Carve a wooden half-hull model, translate its shape into a lines plan with a naval architect, and compare the group's boat designs.
Science is only one of many stakeholder interests: analyze cases of joint fact finding in contentious environmental disputes over ecosystems and natural resources management.
Apply linear algebra to engineering problems: eigenvalues and positive definite matrices, springs, trusses and networks, finite differences and finite elements, Laplace's equation, Fourier series, convolution and the FFT.
A seminar examining how feeling and imagination shape creativity and aesthetic value across art, science, technology, literature, and human nature.
Examines how government and public-private partnerships shape innovation systems across computing, advanced manufacturing, energy, and health.
Learn how citizen science can help communities measure methane leaks, use scientific evidence, and take action on climate change.
Analyze LIGO data to detect a gravitational wave signal and fit it to a physical model using Fourier analysis, matched filtering, and data fitting in Jupyter notebooks.
Apply computational methods to physics research: hypothesis testing with f- and t-tests, likelihood ratios, splines, and deep learning to analyze LHC data for W and Z boson properties.
Simulate physics processes: solve numerical differential equations, run Monte Carlo and finite element simulations, and apply physics-informed machine learning to lattice models like the Ising model.
Master the skills needed to become an informed and effective practitioner of data science who adds value to your organization across industries.
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