Ranked #1
Lecture 19: Biased random walks, distributions
Lecture 19: Biased random walks, distributions
8 Apr 2015
•
49mins
Ranked #2
Lecture 21: Validating simulation results, curve fitting, linear regression
Lecture 21: Validating simulation results, curve fitting, linear regression
8 Apr 2015
•
53mins
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Ranked #3
Lecture 20: Monte Carlo simulations, estimating pi
Lecture 20: Monte Carlo simulations, estimating pi
8 Apr 2015
•
47mins
Ranked #4
Lecture 18: Presenting simulation results, Pylab, plotting
Lecture 18: Presenting simulation results, Pylab, plotting
8 Apr 2015
•
52mins
Ranked #5
Lecture 17: Computational models: random walk simulation
Lecture 17: Computational models: random walk simulation
8 Apr 2015
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49mins
Ranked #6
Lecture 16: Encapsulation, inheritance, shadowing
Lecture 16: Encapsulation, inheritance, shadowing
8 Apr 2015
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50mins
Ranked #7
Lecture 15: Abstract data types, classes and methods
Lecture 15: Abstract data types, classes and methods
8 Apr 2015
•
50mins
Ranked #8
Lecture 13: Dynamic programming: overlapping subproblems, optimal substructure
Lecture 13: Dynamic programming: overlapping subproblems, optimal substructure
8 Apr 2015
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48mins
Ranked #9
Lecture 09: Binary search, bubble and selection sorts
Lecture 09: Binary search, bubble and selection sorts
8 Apr 2015
•
47mins
Ranked #10
Lecture 08: Complexity; log, linear, quadratic, exponential algorithms
Lecture 08: Complexity; log, linear, quadratic, exponential algorithms
8 Apr 2015
•
50mins