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Reimagining Cities with Prof. David Hsu
10:38
Introduction to GIS, Part I: Key Concepts
07:10
Introduction to R, Part III: Linear and Mixed Models in R
17:06
Introduction to R, Part I: Interface and Data Structures
32:33
Introduction to GIS, Part V: Extract Information from Maps using Spatial Data Points
19:19
Introduction to R, Part IV: Loops and Functions
21:51
Introduction to GIS, Part II: Vectorial Maps, Raster Maps, and Time Series
15:16
Introduction to GIS, Part III: Projection
04:43
Introduction to GIS, Part IV: Stack, Brick, Crop, and Mask
10:43
Introduction to GIS, Part VI: Plotting Maps with ggplot2
10:20
Introduction to R, Part II: Playing with the Data
19:12
Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (FIXED)
01:15:46
The Kitchen Cloud Chamber with Prof. Anne White
44:20
Lecture 6: Bisection Search (FIXED)
01:14:27
Lecture 10: Lists and Mutability (FIXED)
01:15:13
Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (ALSO BROKEN)
01:15:20
Lecture 14: Dictionaries
01:18:06
Lecture 3: Iteration
46:42
Lecture 16: Recursion on Non-numerics
01:17:53
Lecture 21: Timing Programs and Counting Operations
32:12
Lecture 25: Plotting
01:17:54
Lecture 23: Complexity Classes Examples
01:21:18
Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (BROKEN)
01:15:31
Lecture 1: Introduction to CS and Programming Using Python
01:03:30
Lecture 4: Loops over Strings, Guess-and-Check, and Binary
01:13:16
Lecture 22: Big Oh and Theta
01:20:36
Lecture 19: Inheritance
01:16:55
Lecture 11: Aliasing and Cloning
46:17
Lecture 17: Python Classes
47:48
Lecture 9: Lambda Functions, Tuples, and Lists
45:26