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Basic Overview to Computer & Programming
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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