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  1. Measure, fourier series, and fourier transforms

  2. Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.

  3. Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.

  4. Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.

  5. This course examines major works by Hemingway, Fitzgerald, and Faulkner, exploring their interconnections on three analytic scales: the macro history of the United States and the world; the formal and stylistic innovations of modernism; and the small details of sensory input and psychic life. Warning: Some of the lectures in this course contain graphic content and/or adult language that some users may find disturbing.  

  6. Homogeneous Transform Interpretations, Compound Transformations, Spatial Descriptions, Rotation Representations, Euler Angles, Fixed Angles, Example - Singularities, Euler Parameters, Example - Rotations

  7. Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares aproximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and dynamical interpretation. Matrix exponential, ...more

  8. Second part of using the Laplace Transform to solve a differential equation.

  9. Laplace Transform of t^n: L{t^n}.

  10. Figuring out the Laplace Transform of the Dirac Delta Function.

  11. Introduction to the unit step function and its Laplace Transform.