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Премиум
  1. Урок 1. 00:00:59
    Welcome to the Course!
  2. Урок 2. 00:06:43
    What & Why
  3. Урок 3. 00:09:32
    Measuring Algorithm Performance & Time Complexity
  4. Урок 4. 00:06:58
    Big O Notation
  5. Урок 5. 00:11:28
    Deriving the Time Complexity / Big O of an Algorithm
  6. Урок 6. 00:04:51
    Constant Time
  7. Урок 7. 00:03:43
    Using Big O For Algorithm Comparison
  8. Урок 8. 00:02:14
    A First Task!
  9. Урок 9. 00:10:02
    Solution & A Gotcha
  10. Урок 10. 00:05:31
    About this Course & Outline
  11. Урок 11. 00:01:39
    Module Introduction
  12. Урок 12. 00:03:31
    The Fibonacci Problem
  13. Урок 13. 00:05:43
    The Fibonacci Solution
  14. Урок 14. 00:04:18
    Fibonacci Big O (Time Complexity)
  15. Урок 15. 00:02:34
    The "Is Prime" Problem
  16. Урок 16. 00:03:57
    The "Is Prime" Solution
  17. Урок 17. 00:12:49
    "Is Prime", Big O & Multiple Cases
  18. Урок 18. 00:06:45
    "Is Prime" - Improved Version
  19. Урок 19. 00:01:28
    Time to Practice (Problem)
  20. Урок 20. 00:12:51
    Time to Practice (Solution)
  21. Урок 21. 00:05:54
    Identifying Big O Quickly
  22. Урок 22. 00:08:07
    Is Power Of Two Algorithm
  23. Урок 23. 00:07:30
    Logarithmic Time Complexity
  24. Урок 24. 00:08:20
    Bitwise Operators & Power Of Two
  25. Урок 25. 00:02:51
    Again: Identifying Big O Quickly
  26. Урок 26. 00:05:13
    The Factorial Algorithm
  27. Урок 27. 00:01:07
    Module Introduction
  28. Урок 28. 00:08:31
    Recursion in Algorithms
  29. Урок 29. 00:11:31
    Exponential Time Complexity
  30. Урок 30. 00:05:09
    Quadratic Time Complexity vs Exponential Time Complexity
  31. Урок 31. 00:03:27
    What is "Dynamic Programming"?
  32. Урок 32. 00:09:23
    "Dynamic Programming" in Action
  33. Урок 33. 00:04:38
    The "Bottom Up" Approach
  34. Урок 34. 00:02:05
    Module Introduction
  35. Урок 35. 00:01:20
    What Search Algorithms Are About
  36. Урок 36. 00:01:42
    Introducing Linear Search
  37. Урок 37. 00:10:40
    Linear Search in Action
  38. Урок 38. 00:04:22
    Linear Search Time Complexity
  39. Урок 39. 00:02:51
    Binary Search in Theory
  40. Урок 40. 00:11:47
    Binary Search in Action
  41. Урок 41. 00:03:21
    Binary Search Time Complexity
  42. Урок 42. 00:13:06
    Recursive Binary Search
  43. Урок 43. 00:10:40
    The Master Theorem
  44. Урок 44. 00:00:53
    Module Introduction
  45. Урок 45. 00:01:12
    What are Sorting Algorithms About?
  46. Урок 46. 00:05:08
    Bubble Sort - Theory
  47. Урок 47. 00:17:32
    Bubble Sort in Action
  48. Урок 48. 00:03:42
    Bubble Sort Time Complexity
  49. Урок 49. 00:02:56
    Quicksort - Theory
  50. Урок 50. 00:13:15
    Quicksort in Action
  51. Урок 51. 00:08:05
    Quicksort Time Complexity
  52. Урок 52. 00:04:10
    Merge Sort - Theory
  53. Урок 53. 00:16:39
    Merge Sort in Action
  54. Урок 54. 00:04:02
    Merge Sort Time Complexity
  55. Урок 55. 00:02:05
    Summary
  56. Урок 56. 00:01:14
    Module Introduction
  57. Урок 57. 00:03:03
    Introducing Space Complexity
  58. Урок 58. 00:02:40
    Deriving Space Complexity
  59. Урок 59. 00:05:07
    Factorial Algorithm (Loop) - Space Complexity
  60. Урок 60. 00:03:59
    Factorial Algorithm (Recursive) - Space Complexity
  61. Урок 61. 00:03:24
    Linear Search - Space Complexity
  62. Урок 62. 00:02:25
    Binary Search - Space Complexity
  63. Урок 63. 00:02:05
    Bubble Sort - Space Complexity
  64. Урок 64. 00:06:01
    Quicksort - Space Complexity
  65. Урок 65. 00:02:14
    Merge Sort - Space Complexity
  66. Урок 66. 00:01:51
    Module Introduction
  67. Урок 67. 00:03:18
    An Introduction to Sets
  68. Урок 68. 00:05:12
    The Cartesian Product Algorithm
  69. Урок 69. 00:05:11
    Cartesian Product - Time Complexity
  70. Урок 70. 00:16:38
    The Cartesian Product Algorithm - Without Limits
  71. Урок 71. 00:03:28
    The Permutations Algorithms
  72. Урок 72. 00:19:01
    Permutations without Repetitions
  73. Урок 73. 00:04:45
    Understanding Permutations
  74. Урок 74. 00:03:54
    Permutations without Repetitions - Big O
  75. Урок 75. 00:15:16
    Permutations WITH Repetitions
  76. Урок 76. 00:01:08
    Module Introduction
  77. Урок 77. 00:07:07
    Solving Problems In A Structured Way
  78. Урок 78. 00:04:01
    Simplifying Problems
  79. Урок 79. 00:01:36
    Practice Makes Perfect!
  80. Урок 80. 00:01:48
    The Knapsack Problem (0/1)
  81. Урок 81. 00:05:22
    A Wrong Approach
  82. Урок 82. 00:05:27
    Approaching the Problem Differently
  83. Урок 83. 00:18:22
    A Working Knapsack Solution
  84. Урок 84. 00:14:48
    An Improved Knapsack Algorithm
  85. Урок 85. 00:03:49
    Greedy vs Dynamic Algorithms
  86. Урок 86. 00:09:47
    A Greedy Knapsack Algorithm
  87. Урок 87. 00:02:51
    A New Problem Solving Plan
  88. Урок 88. 00:03:32
    The Change Making Problem
  89. Урок 89. 00:12:41
    A Greedy Change Making Algorithm
  90. Урок 90. 00:13:18
    A Variation to the Change Making Problem
  91. Урок 91. 00:06:24
    Course Roundup