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Introduction to Computer Science and Programming
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Manage series 1264067
24 에피소드
저장한 시리즈 ("피드 비활성화" status)
When?
This feed was archived on November 17, 2021 19:10 (
Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage series 1264067
24 에피소드
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1 Lecture 10: Divide and conquer methods, merge sort, exceptions 46:18


1 Lecture 03: Common code patterns: iterative programs 50:59




1 Lecture 24: Course overview; what do computer scientists do? 42:47


1 Lecture 22: Normal, uniform, and exponential distributions; misuse of statistics 50:49


1 Lecture 21: Validating simulation results, curve fitting, linear regression 53:47


1 Lecture 19: Biased random walks, distributions 49:53


1 Lecture 20: Monte Carlo simulations, estimating pi 47:54


1 Lecture 18: Presenting simulation results, Pylab, plotting 52:53


1 Lecture 17: Computational models: random walk simulation 49:23


1 Lecture 16: Encapsulation, inheritance, shadowing 50:22


1 Lecture 15: Abstract data types, classes and methods 50:24


1 Lecture 13: Dynamic programming: overlapping subproblems, optimal substructure 48:55


1 Lecture 09: Binary search, bubble and selection sorts 47:30


1 Lecture 08: Complexity; log, linear, quadratic, exponential algorithms 50:03


1 Lecture 14: Analysis of knapsack problem, introduction to object-oriented programming 50:33


1 Lecture 12: More about debugging, knapsack problem, introduction to dynamic programming 49:46


1 Lecture 07: Lists and mutability, dictionaries, pseudocode, introduction to efficiency 46:22




1 Lecture 02: Operators and operands; statements; branching, conditionals, and iteration 50:49


1 Lecture 06: Bisection methods, Newton/Raphson, introduction to lists 50:11


1 Lecture 05: Floating point numbers, successive refinement, finding roots 44:12


1 Lecture 04: Decomposition and abstraction through functions; introduction to recursion 51:27


1 Lecture 01: Goals of the course; what is computation; introduction to data types, operators, and variables 53:30
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