CS Primer - Algorithms and Data Structures

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Free Download CS Primer - Algorithms and Data Structures
Released 9/2024
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 41 Lessons ( 26h 32m ) | Size: 9.53 GB
Algorithms and Data Structures can be a particular rewarding area of study, because it drives at the core of computer programming: solving difficult problems.

In the course below, you'll learn a number of important data structures and algorithms, which we're sure will prove useful throughout your career. Just as importantly, you'll develop a stronger ability to understand, break down and solve novel problems, whether inventing your own techniques or repurposing those which you learn here.
At the core of this course are the sequences of problems for each topic. You should aim to solve each problem, using the worked solutions and supplementary explainers as needed. For more suggestions on how to approach CS Primer, see the how-to guide.
Also included are seminars recorded with CS Primer students, which you may like to work through as well, by stopping and asking yourself each of the questions we cover together. These were typically recorded after the students completed 1-2 problems in that module, so are designed to reinforce the fundamental concepts and prepare for harder problems.
As a supplementary resources, I recommend Steven Skiena's video lectures and book: The Algorithm Design Manual. This tends to be a little less heavy in theory, and has a more "problem solving" orientation than the typically recommended textbooks. There are plenty of other good resources available online, such as those from Tim Roughgarden. Generally I suggest just attempting the problems below, and reaching for the textbook if you feel conceptually stuck or would like further practice problems.
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9.54 GB | 01:08:53 | mp4 | 3840X2160 | 16:9
Genre:eLearning |Language:English


Files Included :
001 Staircase ascent (336.51 MB)
002 Convert to Roman (154.88 MB)
003 Correct binary search (209.74 MB)
004 Splitting a chocolate bar (206.56 MB)
005 What a programmer can learn from Polya (176.69 MB)
006 Finding duplicates (300.67 MB)
007 Fizzbuzz sum (175.11 MB)
008 Just iterate (201.28 MB)
009 Analysis practice (170.12 MB)
010 The enormous difference between polynomial and exponential (59.32 MB)
011 Building an intuition for common running times (201.57 MB)
012 Best worst and average case (47.15 MB)
013 The benefits and pitfalls of asymptotic analysis (83.36 MB)
014 Big O big omega and big theta (50.75 MB)
015 Parenthesis match (333.9 MB)
016 Doubly linked list (255.07 MB)
017 Basic calculator (283.48 MB)
018 Practice using stacks (119.39 MB)
019 Hazards of using linkedlists (77.23 MB)
020 What is an abstract data type (54.85 MB)
021 Motivating stacks and queues and an intuition for when to use them (86.81 MB)
022 Motivating linked lists (37.8 MB)
023 Merge sort (516.5 MB)
024 Fast exponentiation (179.86 MB)
025 Quicksort (258.28 MB)
026 Divide and conquer intuition and convex hull problem (258.38 MB)
027 Process tree (577.67 MB)
028 Word ladder (557.89 MB)
029 Jug pouring (515.1 MB)
030 Knights tour (444.49 MB)
031 Maze solver (350.18 MB)
032 Trees graphs and flipping pancakes (144.49 MB)
033 Dijkstras algorithm and A search (68.78 MB)
034 Depth-first and breadth-first search (138.66 MB)
035 Helping Michael with Word Ladder analysis (348.27 MB)
036 House robber (421.34 MB)
037 Perfect squares (286.33 MB)
038 Minimal grid path (406.49 MB)
039 Edit distance (444.22 MB)
040 Introduction to dynamic programming (122.89 MB)
041 QA problem solving technique and wrapup (106.4 MB)
just-iterate (681 B)
maze-solver (2.4 KB)
paren-match (872 B)
word-ladder (39.89 KB)

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