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Lecture 19 | Programming Abstractions (Stanford)

2012-10-27T01:33:29.584Z

Lecture 19 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department.

Julie reiterates the rules for template implementers and continues by coding live with the class explaining each line of code in detail after writing it. Throughout the process of writing the code, she encounters several errors and debugs the code every several minutes. She continues to demonstrate how to write code involving stack.

Lecture 15 | Programming Abstractions (Stanford)

2012-10-27T00:54:58.942Z

Lecture 15 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department.

Julie continues to cover sorting. She begins with an example of a selection sorting code and a graphic demo of the code in progress. Thereafter, she explains the different methods available to sort different kinds of data; she also explains the pros and cons of using quadratic sorting versus linearithmic sorting.

Lecture 13 | Programming Abstractions (Stanford)

2012-10-27T00:47:07.297Z

Lecture 13 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department.

Julie introduces linked lists and continues to discuss recursive data. She goes line by line through an example code she writes during the lecture. She then inserts variables in an order; she uses the example of an address book to explain this. Algorithm analysis are also introduced.

Lecture 11 | Programming Abstractions (Stanford)

2012-10-27T00:37:29.868Z

Lecture 11 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department.

Julie continues with recursive backtracking and introduces pointers and recursive data. Following, she focuses on solving the problems rather than the exact code and later uses the example of a program that will solve a Sudoku puzzle. She explains that recognizing and looking for patterns between all of the different recursive examples is an important component to learning recursion.

Lecture 10 | Programming Abstractions (Stanford)

2012-10-27T00:31:59.879Z

Lecture 10 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department.

Julie explains procedural recursion and introduces permute code. She goes through another example of recursive code line by line, explaining each component. Recursive backtracking and it's usefulness are discussed. The example of placing several queen chess pieces on a board where none of them can attack the other is then demonstrated.