Entrevista Enio Perequitos MGTV 1993
Lec15 Abstract Data Types, Classes and Methods
Lec23 Stock Market Simulation
Lec17 Computational Models Random Walk Simulation
Lec21 Validating Simulation Results
Lec24 Course Overview; What Do Computer Scientists Do
Lec22 Normal, Uniform, and Exponential Distributions
Apresentação TCC PUCMG Modelos Estatísticos e de ML para a Estimativa do Preço da Gasolina COMPLETO
Lec06 Bisection Methods, Newton Raphson, Introduction to lists
Lec03 Common Code Patterns Iterative Programs
Lec10 Divide and Conquer Methods, Merge Sort, Exceptions
Lec13 Dynamic Programming
Lec19 Biased Random Walks, Distributions
Lec12 Debugging, Knapsack Problem
Lec20 Monte Carlo Simulations, Estimating pi
Lec18 Presenting Simulation Results, Pylab, Plotting
Lec11 Testing and Debugging
Lec05 Floating Point Numbers, Successive Refinement
Lec08 Complexity Log, Linear, Quadratic, Exponential Algorithms
Lec07 Lists and Mutability, Dictionaries
