eBooks E-Books Lecture 3: Problem Solving (M-I-T) Lecture 2: Core Elements of a Program (M-I-T) Lecture 26: What Do Computer Scientists Do? (M-I-T) Lecture 25: Queuing Network Models (M-I-T) 9 Binary Search, Bubble and Selection Sorts Lecture 24: Avoiding Statistical Fallacies (M-I-T) 8 Complexity Log, Linear, Quadratic, Exponential Algorithms 7 Lists and Mutability, Dictionaries, Introduction to Efficiency Lecture 23: Dynamic Programming (M-I-T) Lecture 22: Using Graphs to Model Problems, Part 2 (M-I-T) 6 Bisection Methods, Newton/Raphson, Introduction to Lists Lecture 21: Using Graphs to Model Problems, Part 1 (M-I-T) 5 Floating Point Numbers, Successive Refinement, Finding Roots Lecture 20: More Clustering (M-I-T) 4 Abstraction through Functions; Introduction to Recursion 3 Common Code Patterns Iterative Programs « Previous 1 … 2,302 2,303 2,304 2,305 2,306 … 4,276 Next »
