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Lecture 19 | Programming Methodology (Stanford)
Lecture by Professor Mehran Sahami for the Stanford Computer Science Department (CS106A). Professor Sahami reintroduces interfaces and elaborates on the topic. CS106A is an Introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Uses the Java programming language. Emphasis is on good programming style and the built-in facilities of the Java language. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=84A56BC7F4A1F852 CS106A at Stanford Unversity: http://www.stanford.edu/class/cs106a/ Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu Stanford University Channel on YouTube: http://www.youtube.com/stanford
Lecture 19 | Programming Abstractions (Stanford)
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. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=FE6E58F856038C69 CS 106B Course Website: http://cs106b.stanford.edu Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanforduniversity/
CS 61A Lecture 19: Object-Oriented Programming III
CS 61A The Structure and Interpretation of Computer Programs Instructor Brian Harvey Spring 2008 Introduction to programming and computer science. This course exposes students to techniques of abstraction at several levels: (a) within a programming language, using higher-order functions, manifest types, data-directed programming, and message-passing; (b) between programming languages, using functional and rule-based languages as examples. It also relates these techniques to the practical problems of implementation of languages and algorithms on a von Neumann machine. There are several significant programming projects, programmed in a dialect of the LISP language.
Lec 19 - Introduction To Problem Solving and Programming
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