software engineering
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The Concept of Underfitting and Overfitting, The Concept of Parametric Algorithms and Non-parametric Algorithms, Locally Weighted Regression, The Probabilistic Interpretation of Linear Regression, The motivation of Logistic Regression, Logistic Regression, Perceptron
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Partially Observable MDPs (POMDPs), Policy Search, Reinforce Algorithm, Pegasus Algorithm, Pegasus Policy Search, Applications of Reinforcement Learning
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Pathfinder Demo, Graphs: Examples, Graphs: Explanation, Implementation Strategies, Graph Representation in C++, Nodes and Arcs in C++, Graph Traversals, DFS - (Depth First Search), Trace DfS, BFS - (Breadth First Search), Trace BFS, Graph Search Algorithms, Weighted arcs
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Jacobian - Explicit Form, Jacobian Jv / Jw, Jacobian in a Frame, Jacobian in Frame {0}, Scheinman Arm, Scheinman Arm - Jacobian, Kinematic Singularity
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Multi-dimensional Arrays, An ArrayList, The Template Class, Methods in the ArrayList Class, An Example Program Using ArrayList, ArrayLists Hold Objects, An Example Program with an ArrayList of Glabels, The GrayImage Example Program
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Bayesian Statistics and Regularization, Online Learning, Advice for Applying Machine Learning Algorithms, Debugging/fixing Learning Algorithms, Diagnostics for Bias & Variance, Optimization Algorithm Diagnostics, Diagnostic Example - Autonomous Helicopter, Error Analysis, Getting Started on a Learning Problem
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Jeff Raikes, group vice president of Productivity and Business Services (PBS) at Microsoft Corporation, explains his own background and how being open to opportunities helped him become the only undergraduate from the Engineering Economic Systems department at Stanford.  Plans change as opportunities arise, he says. He also recommends entrepreneurs look for a job they love.
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Guest Lecturer: Keith Schwarz, About the C++ Language, Quick History of C++, C++ Philosophy, C++ Without genlib.h, A Working genlib.h Replacement, Other CS106 Headers, strutils.h, simpio.h, random.h, graphics.h/extrgraph.h, What about ADTs?, Standard Template Library, STL Algorithms, Language Features, Operator Overloading, What Next?
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Intro - Guest Lecturer: Gregory Hager, Overview - Computer Vision, Computational Stereo, Stereo-Based Reconstruction, Disparity Maps, SIFT Feature Selection, Tracking Cycle, Face Stabilization Video, Future Challenges
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Bias/variance Tradeoff, Empirical Risk Minimization (ERM), The Union Bound, Hoeffding Inequality, Uniform Convergence - The Case of Finite H, Sample Complexity Bound, Error Bound, Uniform Convergence Theorem & Corollary
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readInt() and readDouble(), The Division Operator w.r.t ints and Doubles, Order of Precedence for Operators, Type Casting, Shorthands, Constants, The Boolean Data Type, Value Comparisons, Boolean Expressions, Short Circuit Evaluation, Statement Blocks, Scope of Variables, Cascading if, The Switch Statement, The For Loop, The While Loop
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Joint Space Dynamics, Newton-Euler Algorithm, Inertia Tensor, Example, Newton-Euler Equations, Lagrange Equations, Equations of Motion
