MIT Introduction to Computer Science and Programming Python vampiri6ka

MIT Introduction to Computer Science and Programming Python vampiri6ka

Name	MIT - Introduction to Computer Science and Programming (Python) ® vampiri6ka	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	12.8 GB
Total Files	80
Hash	B9252CB3440C3AA6A0F255611BA08DB3907DE151

/HQ/
28-Quiz 2 Review Session.mkv	502.6 MB
35-Lecture 24_ Avoiding Statistical Fallacies.mkv	263.8 MB
21-Lecture 15_ Statistical Thinking.mkv	258.8 MB
23-Lecture 16_ Using Randomness to Solve Non-random Problems.mkv	250.1 MB
37-Lecture 25_ Queuing Network Models.mkv	244.7 MB
27-Lecture 19_ More Optimization and Clustering.mkv	240.1 MB
08-Lecture 06_ Recursion.mkv	239.4 MB
01-Lecture 01_ Introduction to 6.00.mkv	238.9 MB
12-Lecture 08_ Efficiency and Order of Growth.mkv	237.6 MB
20-Lecture 14_ Sampling and Monte Carlo Simulation.mkv	237.4 MB
17-Lecture 12_ Introduction to Simulation and Random Walks.mkv	230.7 MB
13-Lecture 09_ Memory and Search Methods.mkv	228.8 MB
04-Lecture 03_ Problem Solving.mkv	225.5 MB
10-Lecture 07_ Debugging.mkv	225.5 MB
24-Lecture 17_ Curve Fitting.mkv	224.4 MB
26-Lecture 18_ Optimization Problems and Algorithms.mkv	223.6 MB
07-Lecture 05_ Objects in Python.mkv	222.3 MB
31-Lecture 21_ Using Graphs to Model Problems, Part 1.mkv	221.8 MB
29-Lecture 20_ More Clustering.mkv	218.5 MB
14-Lecture 10_ Hashing and Classes.mkv	215.6 MB
15-Lecture 11_ Object Oriented Programming (OOP) and Inheritance.mkv	211.8 MB
34-Lecture 23_ Dynamic Programming.mkv	210.8 MB
19-Lecture 13_ Some Basic Probability and Plotting Data.mkv	210.1 MB
32-Lecture 22_ Using Graphs to Model Problems, Part 2.mkv	209.0 MB
22-Recitation 06_ Probability and Statistics.mkv	207.7 MB
02-Lecture 02_ Core Elements of a Program.mkv	206.4 MB
05-Lecture 04_ Machine Interpretation of a Program.mkv	206.2 MB
38-Lecture 26_ What Do Computer Scientists Do_.mkv	198.7 MB
06-Recitation 02_ Loops, Tuples, Strings, and Functions.mkv	185.0 MB
33-Recitation 09_ Directed and Undirected Node Graphs.mkv	178.2 MB
16-Recitation 05_ Quiz 1 Answers and Object-Oriented Programming.mkv	177.9 MB
03-Recitation 01_ Introduction to Coding Concepts.mkv	175.5 MB
11-Recitation 04_ Recursion, Pseudo code, and Debugging.mkv	166.1 MB
30-Recitation 08_ Hierarchical and k-means Clustering.mkv	162.4 MB
09-Recitation 03_ Lists and their Elements, Sorting, and Recursion.mkv	162.4 MB
25-Recitation 07_ Distributions, Monte Carlo, and Regressions.mkv	152.2 MB
18-Optional Recitation_ Algorithm Complexity and Class Review.mkv	151.0 MB
36-Recitation 10_ Introduction to Dynamic Programming.mkv	123.7 MB
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28-Quiz 2 Review Session.mp4	286.3 MB
06-Recitation 02_ Loops, Tuples, Strings, and Functions.mp4	139.9 MB
31-Lecture 21_ Using Graphs to Model Problems, Part 1.mp4	129.1 MB
02-Lecture 02_ Core Elements of a Program.mp4	122.3 MB
16-Recitation 05_ Quiz 1 Answers and Object-Oriented Programming.mp4	122.0 MB
34-Lecture 23_ Dynamic Programming.mp4	121.7 MB
22-Recitation 06_ Probability and Statistics.mp4	121.5 MB
37-Lecture 25_ Queuing Network Models.mp4	120.6 MB
03-Recitation 01_ Introduction to Coding Concepts.mp4	119.3 MB
21-Lecture 15_ Statistical Thinking.mp4	118.6 MB
30-Recitation 08_ Hierarchical and k-means Clustering.mp4	118.2 MB
24-Lecture 17_ Curve Fitting.mp4	116.7 MB
07-Lecture 05_ Objects in Python.mp4	116.7 MB
20-Lecture 14_ Sampling and Monte Carlo Simulation.mp4	116.6 MB
15-Lecture 11_ Object Oriented Programming (OOP) and Inheritance.mp4	116.4 MB
05-Lecture 04_ Machine Interpretation of a Program.mp4	116.3 MB
17-Lecture 12_ Introduction to Simulation and Random Walks.mp4	115.4 MB
38-Lecture 26_ What Do Computer Scientists Do_.mp4	115.2 MB
12-Lecture 08_ Efficiency and Order of Growth.mp4	114.8 MB
11-Recitation 04_ Recursion, Pseudo code, and Debugging.mp4	114.6 MB
09-Recitation 03_ Lists and their Elements, Sorting, and Recursion.mp4	114.6 MB
26-Lecture 18_ Optimization Problems and Algorithms.mp4	114.4 MB
10-Lecture 07_ Debugging.mp4	114.4 MB
27-Lecture 19_ More Optimization and Clustering.mp4	114.2 MB
23-Lecture 16_ Using Randomness to Solve Non-random Problems.mp4	114.2 MB
33-Recitation 09_ Directed and Undirected Node Graphs.mp4	113.6 MB
08-Lecture 06_ Recursion.mp4	113.4 MB
35-Lecture 24_ Avoiding Statistical Fallacies.mp4	112.8 MB
29-Lecture 20_ More Clustering.mp4	112.5 MB
32-Lecture 22_ Using Graphs to Model Problems, Part 2.mp4	111.9 MB
13-Lecture 09_ Memory and Search Methods.mp4	110.2 MB
04-Lecture 03_ Problem Solving.mp4	109.8 MB
25-Recitation 07_ Distributions, Monte Carlo, and Regressions.mp4	107.9 MB
14-Lecture 10_ Hashing and Classes.mp4	106.8 MB
19-Lecture 13_ Some Basic Probability and Plotting Data.mp4	98.1 MB
18-Optional Recitation_ Algorithm Complexity and Class Review.mp4	96.1 MB
01-Lecture 01_ Introduction to 6.00.mp4	95.0 MB
36-Recitation 10_ Introduction to Dynamic Programming.mp4	87.6 MB
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6-00sc-spring-2011.rar	10.9 MB
cover.png	176.7 KB
__lq__.mpcpl	3.0 KB
__hq__.mpcpl	3.0 KB
Total files 80