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  1. The Factor Analysis Model,0 EM for Factor Analysis, Principal Component Analysis (PCA), PCA as a Dimensionality Reduction Algorithm, Applications of PCA, Face Recognition by Using PCA

  2. Review. Professor Sylvia Ceyer reviews the main topics covered throughout the second half of the course including kinetics, transition metals, VSEPR theory, acid-base equilibrium, chemical equilibrium, and oxidation/reduction. Professor Ceyer uses the case study of methionine synthase to supplement the discussion.

  3. Oxidation reduction (or redox) reactions.

  4. Environmental Politics and Law (EVST 255) During this session, Professor Wargo stresses the importance of considering the persistence of pollutants in the environment. He continues the discussion of the Atomic Energy Commission's (AEC) risk management strategies in the wake of nuclear experiments from 1945-1963, and also introduces risk reduction strategies attempted after the nuclear explosion at Chernobyl. These strategies underestima...more

  5. Professor Sylvia Ceyer begins by adding and subtracting half-cell reactions (a continuation of her prior lecture on oxidation/reduction). The Nernst Equation is introduced, which can be used to determine the equilibrium reduction potential of a half cell in an electrochemical cell.

  6. After a discussion of electrochemical cells, Professor Sylvia Ceyer defines the points of oxidation and reduction in a battery as the anode and cathode, respectively. She discusses the application of Faraday's Law and its relationship to electrochemical cells. Finally, the relationship between cell potential and Gibbs free energy is highlighted.

  7. Taking a looking at oxidation and reduction in a biological context.

  8. Note: This course is offered by Stanford as an online course for credit. It can be taken individually, or as part of a master’s degree or graduate certificate earned online through the Stanford Center for Professional Development. This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learnin...more

  9. Oxidation and reduction in cellular respiration. Reconciling the biology and chemistry definitions of oxidation and reduction.

  10. Oxidation and reduction. Oxidation states.

  11. Generalization to Continuous States, Discretization & Curse of Dimensionality, Models/Simulators, Fitted Value Iteration, Finding Optimal Policy

  12. Stoichiometry of chemical reactions, quantum mechanical description of atoms, the elements and periodic table, chemical bonding, real and ideal gases, thermochemistry, introduction to thermodynamics and equilibrium, acid-base and solubility equilibria, introduction to oxidation-reduction reactions.