Ranked #1
Recitation 6: Probability and Statistics
Recitation 6: Probability and Statistics
This recitation video covers some basic probability and statistics, as well as simulation methods for estimating unknown... Read more
17 Jun 2015
•
53mins
Ranked #2
Recitation 7: Distributions, Monte Carlo, and Regressions
Recitation 7: Distributions, Monte Carlo, and Regressions
This recitation discusses different types of data distributions, Monte Carlo simulations and data curve regressions in g... Read more
17 Jun 2015
•
47mins
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Ranked #3
Recitation 5: Quiz 1 Answers and Object-Oriented Programming
Recitation 5: Quiz 1 Answers and Object-Oriented Programming
This recitation goes over the answers to Quiz 1 and introduces object-oriented programming (classes) in comparison to ty... Read more
17 Jun 2015
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53mins
Ranked #4
Recitation 3: Lists and their Elements, Sorting, and Recursion
Recitation 3: Lists and their Elements, Sorting, and Recursion
This recitation covers lists, list elements, and a discussion of sorting techniques. Introduces recursion, base cases, ... Read more
17 Jun 2015
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50mins
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Ranked #5
Recitation 4: Recursion, Pseudo code, and Debugging
Recitation 4: Recursion, Pseudo code, and Debugging
This recitation further explains recursion, pseudo code and debugging with several examples. The recitation also talks a... Read more
17 Jun 2015
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50mins
Ranked #6
Recitation 2: Loops, Tuples, Strings, and Functions
Recitation 2: Loops, Tuples, Strings, and Functions
This recitation reviews the basics and the specifics of loops, tuples, strings, and functions in detail.
17 Jun 2015
•
57mins
Ranked #7
Recitation 1: Introduction to Coding Concepts
Recitation 1: Introduction to Coding Concepts
This recitation covers an introduction to what coding is, how the computer executes code, and to simple coding construct... Read more
17 Jun 2015
•
52mins
Ranked #8
Lecture 23: Dynamic Programming
Lecture 23: Dynamic Programming
This lecture covers dynamic programming, optimal path, overlapping subproblems, specifications, restrictions, efficiency... Read more
17 Jun 2015
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53mins
Ranked #9
Lecture 21: Using Graphs to Model Problems, Part 1
Lecture 21: Using Graphs to Model Problems, Part 1
This lecture covers graphs and graphing techniques in Python. Includes: pseudocode, nodes, edges, adjacency matrices, a... Read more
17 Jun 2015
•
50mins
Ranked #10
Lecture 20: More Clustering
Lecture 20: More Clustering
This lecture covers clustering, include feature vectors, scaling, and k-means clustering.
17 Jun 2015
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49mins
Ranked #11
Lecture 26: What Do Computer Scientists Do?
Lecture 26: What Do Computer Scientists Do?
In the final lecture we will discuss careers in computer science, computational thinking, abstraction, and automation.
17 Jun 2015
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50mins
Ranked #12
Lecture 25: Queuing Network Models
Lecture 25: Queuing Network Models
This lecture covers queuing networks and simulations, Poisson distributions, wait time, queue length, server utilization... Read more
17 Jun 2015
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52mins
Ranked #13
Lecture 24: Avoiding Statistical Fallacies
Lecture 24: Avoiding Statistical Fallacies
This lecture discusses common statistical fallacies and how to avoid them. Topics include: statistics, plotting, correl... Read more
17 Jun 2015
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49mins
Ranked #14
Lecture 16: Using Randomness to Solve Non-random Problems
Lecture 16: Using Randomness to Solve Non-random Problems
This lecture continues discussion on analytical vs. simulation models for problem solving. Topics include Gaussian dist... Read more
17 Jun 2015
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49mins
Ranked #15
Lecture 14: Sampling and Monte Carlo Simulation
Lecture 14: Sampling and Monte Carlo Simulation
In this lecture we continue working with simulations, covering the Monte Carlo simulation, Pascal's algorithm, inferenti... Read more
17 Jun 2015
•
50mins
