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Misak Sargsian M,W 6:25-7:40pm, GC 279A Office Hours M,W - 3:30-4:30pm, CP224, sargsian@fiu.edu, 305-348-3954 Lecture 1: Programming in Python (1) Setting up Python (2) Basic Programming (3) "if"s and "while"s, lists and arrays, loops and all that... (4) Graphics and Visualization (5) Accuracy and Speed Lecture 2: Integrals and Derivatives (1) Methods of evaluating integrals (2) Evaluating integration errors (3) Choosing number of the steps (4) Romberg Integrations (5) Higher Order Integration Methods (6) Gaussian Quadrature (7) Choosing an Integration Methods (8) Infinite Range Integrations (9) Multiple Integrals (10) Derivatives (11) Interpolations Lecture 3: Solution of Linear and Nonlinear Equations (1) Simultaneous Linear Equations (2) Eigenvalues and Eigenvectors (3) Non-Linear Equations (4) Maxima and Minima of Functions Lecture 4: Fourier Transforms (1) Fourier Series (2) The Discrete Fourier Transform (3) Discrete Cosine and Sine Transforms (4) Fast Fourier Transforms Lecture 5: Ordinary Differential Equations (1) First Order Differential Equations with One Variable (2) Differential Equations with Multiple Variables (3) Second Order Differential Equations (4) Varying the Step Size (5) Other Methods for Differential Equations (6) Boundary Value Problem Lecture 6: Partial Differential Equations: (1) Boundary Value Problems and the Relaxation Method (2) Faster Method for Boundary Value Problems (3) Initial Value Problems Lecture 7: Random Processes and Monte Carlo Methods (1) Random Numbers (2) Monte Carlo Integrations (3) Monte Carlo Simulation (4) Simulated Annealing Final Projects: - Solving QCD Evolution Equation for Partonic Distributions - Equation of State for Neutron Stars - Monte Carlo Simulation for Scattering Processes in Colliders |
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| Library Grades (10% less for each day of late homeworks) |
| ©2017 Computational Physics; • Misak Sargsian | A• B • C • D • E |
