CS 61B: Data Structures and Advanced Programming
CS 61B: Data Structures and Advanced Programming (Fall 2014, UC Berkeley). Instructor: Professor Paul Hilfinger. This course discusses data structures and advanced programming. Fundamental dynamic data structures,
including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching.
Introduction to the Java programming language.
Lecture 13 - Misc. Support for Abstraction (cont.) |
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Go to the Course Home or watch other lectures:
Lecture 01 - Course Introduction |
Lecture 02 - Developing a Simple Program |
Lecture 03 - Developing a Sort, Unit Testing |
Lecture 04 - Values and Containers |
Lecture 05 - Simple Pointer Manipulation |
Lecture 06 - Arrays |
Lecture 07 - Arrays (cont.), Object-Based Programming |
Lecture 08 - Object-Oriented Mechanisms |
Lecture 09 - Interfaces and Abstract Classes |
Lecture 10 - Abstract Methods and Classes (cont.) |
Lecture 11 - Examples of Interfaces |
Lecture 12 - Misc. Support for Abstraction; Exceptions |
Lecture 13 - Misc. Support for Abstraction (cont.) |
Lecture 14 - Numbers |
Lecture 15 - Numbers (cont.), Algorithmic Analysis I |
Lecture 16 - Algorithmic Analysis II |
Lecture 17 - Collections Overview, Sequence Implementation |
Lecture 18 - Sequence Implementation (cont.) |
Lecture 19 |
Lecture 20 - Sequence Implementation (cont.), Trees |
Lecture 21 - Trees (cont.) |
Lecture 22 - Trees (cont.), Backtracking Search, Game Trees |
Lecture 23 - Game Trees (cont.), Generic Programming |
Lecture 24 - Generic Programming (cont.), Priority Queues, Range Queries |
Lecture 25 - Range Queries (cont.), Hashing |
Lecture 26 - Hashing (cont.), Sorting |
Lecture 27 - Sorting II |
Lecture 28 - Sorting III |
Lecture 29 - Balanced Search Structures |
Lecture 30 - Balanced Search Structures (cont.) |
Lecture 31 - Representing Tries, Summary/Review |
Lecture 32 - Review |
Lecture 33 - Pseudo-Random Sequences |
Lecture 34 - Introduction to Graphs |
Lecture 35 - Graphs Traversals, Shortest Paths |
Lecture 36 - Shortest Paths (cont.), A* Search, Minimal Spanning Trees |
Lecture 37 - Minimal Spanning Trees (cont.), Union Find, Dynamic Programming |
Lecture 38 - Dynamic Programming, Storage Management |
Lecture 39 - Anatomy of a Version-Control System |
Lecture 40 - Compression |
Lecture 41 - Course Summary |