Lecture 10: Divide and conquer methods, merge sort, exceptions

Lecture 03: Common code patterns: iterative programs

Lecture 23: Stock market simulation

Lecture 24: Course overview; what do computer scientists do?

Lecture 22: Normal, uniform, and exponential distributions; misuse of statistics

Lecture 21: Validating simulation results, curve fitting, linear regression

Lecture 19: Biased random walks, distributions

Lecture 20: Monte Carlo simulations, estimating pi

Lecture 18: Presenting simulation results, Pylab, plotting

Lecture 17: Computational models: random walk simulation

Introduction to Computer Science and Programming

You cannot expect a better course for beginners!

Thank you

Lecture 16: Encapsulation, inheritance, shadowing

Lecture 15: Abstract data types, classes and methods

Lecture 13: Dynamic programming: overlapping subproblems, optimal substructure

Lecture 09: Binary search, bubble and selection sorts

Lecture 08: Complexity; log, linear, quadratic, exponential algorithms

The best philosophy podcast episodes. Asking questions about how to live a better life, what it means to be and do good, to the idea of God. This topic includes episodes that bring about important questions that everyone should be asking themselves. Add episodes you're interested into your queue below!

Best Episodes on Practical Philosophy & How To Live

What is this?
1 quote, 3 ideas & 1 question from a carefully curated podcast episode.
Every Monday & Wednesday.

Want a 3rd insight and episode every week? Email me at curation@owltail.com.

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