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01- Goals of the course; what is computation; introduction to data types, operators, and variables.mp4

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01- Goals of the course; what is computation; introduction to data types, operators, and variables.mp4
MP4 8 years ago 1021 bytes
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02- Operators and operands; statements; branching, conditionals, and iteration.mp4
MP4 8 years ago 1021 bytes
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07- Lists and mutability, dictionaries, pseudocode, introduction to efficiency.mp4
MP4 8 years ago 1021 bytes
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12- More about debugging, knapsack problem, introduction to dynamic programming.mp4
MP4 8 years ago 1021 bytes
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24- Course overview; what do computer scientists do.mp4
MP4 8 years ago 17 bytes
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23- Stock market simulation.mp4
MP4 8 years ago 17 bytes
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22- Normal, uniform, and exponential distributions; misuse of statistics.mp4
MP4 8 years ago 17 bytes
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21- Validating simulation results, curve fitting, linear regression.mp4
MP4 8 years ago 1021 bytes
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20- Monte Carlo simulations, estimating pi.mp4
MP4 8 years ago 17 bytes
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19- Biased random walks, distributions.mp4
MP4 8 years ago 1.03 kB
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18- Presenting simulation results, Pylab, plotting.mp4
MP4 8 years ago 1021 bytes
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17- Computational models random walk simulation.mp4
MP4 8 years ago 1021 bytes
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16- Encapsulation, inheritance, shadowing.mp4
MP4 8 years ago 17 bytes
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15- Abstract data types, classes and methods.mp4
MP4 8 years ago 17 bytes
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14- Analysis of knapsack problem, introduction to object-oriented programming.mp4
MP4 8 years ago 1.00 kB
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13- Dynamic programming overlapping subproblems, optimal substructure.mp4
MP4 8 years ago 17 bytes
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11- Testing and debugging.mp4
MP4 8 years ago 17 bytes
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10- Divide and conquer methods, merge sort, exceptions.mp4
MP4 8 years ago 1.03 kB
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09- Binary search, bubble and selection sorts.mp4
MP4 8 years ago 1021 bytes
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08- Complexity; log, linear, quadratic, exponential algorithms.mp4
MP4 8 years ago 1.03 kB
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