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Basic Overview to Computer & Programming

Curriculum

  • 1 Section
  • 24 Lessons
  • 10 Weeks
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  • Basic Overview to Computer & Programming
    24
    • 2.1
      Lecture 1 – Introduction and Goals of the Course
    • 2.2
      Lecture 2 – Operators and operands
    • 2.3
      Lecture 3 – Common code patterns
    • 2.4
      Lecture 4 – Decomposition and abstraction through functions
    • 2.5
      Lecture 5 – Floating point numbers
    • 2.6
      Lecture 6 – Bisection methods
    • 2.7
      Lecture 7 – Lists and mutability
    • 2.8
      Lecture 8 – Complexity
    • 2.9
      Lecture 9 – Binary search
    • 2.10
      Lecture 10 – Divide and conquer methods
    • 2.11
      Lecture 11 – Testing and debugging
    • 2.12
      Lecture 12 – Knapsack problem
    • 2.13
      Lecture 13 – Dynamic programming
    • 2.14
      Lecture 14 – Introduction to object-oriented programming
    • 2.15
      Lecture 15 – Abstract data types
    • 2.16
      Lecture 16 – Encapsulation
    • 2.17
      Lecture 17 – Computational models
    • 2.18
      Lecture 18 – Presenting simulation results
    • 2.19
      Lecture 19 – Biased random walks
    • 2.20
      Lecture 20 – Monte Carlo simulations
    • 2.21
      Lecture 21 – Validating simulation results
    • 2.22
      Lecture 22 – Normal, uniform, and exponential distributions
    • 2.23
      Lecture 23 – Stock market simulation
    • 2.24
      Lecture 24 – Course overview: What do computer scientists do?
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Lecture 2 – Operators and operands
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Lecture 4 – Decomposition and abstraction through functions
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