CS 61B: Data Structures and Advanced Programming
CS 61B: Data Structures and Advanced Programming (Fall 2011, UC Berkeley). Taught by 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 01 - Course Introduction |
| Lecture 02 - Developing a Simple Program |
| Lecture 03 - More on Simple Programs |
| Lecture 04 - Values and Containers |
| Lecture 05 - Simple Pointer Manipulation |
| Lecture 06 - Arrays |
| Lecture 07 - Object-Based Programming |
| Lecture 08 - Object-Oriented Mechanisms |
| Lecture 09 - Object-Oriented Mechanisms, Interfaces and Abstract Classes |
| Lecture 10 - Interfaces and Abstract Classes (cont.) |
| Lecture 11 - Examples of Interfaces |
| Lecture 12 - Project Concepts, Exceptions |
| Lecture 13 - The Access Rules, Importing |
| Lecture 14 - Nesting Classes, Inner Classes, Integers |
| Lecture 15 - Integers (cont.), Algorithmic Analysis |
| Lecture 16 - Algorithmic Analysis (cont.) |
| Lecture 17 - Algorithmic Analysis (cont.), Collections Overview |
| Lecture 18 - Collections Overview, Sequence Implementation |
| Lecture 21 - Stack and Recursion, Trees |
| Lecture 22 - Trees (cont.) |
| Lecture 23 - Backtracking Search, Game Trees |
| Lecture 24 - Java Support for Generic Programming |
| Lecture 25 - Priority Queues, Range Queries |
| Lecture 26 - Hashing |
| Lecture 28 - Sorting |
| Lecture 29 - Sorting (cont.), Balanced Search Structures |
| Lecture 30 - Balanced Search Structures (cont.) |
| Lecture 33 - Graphs Structures |
| Lecture 34 - Graphs: Minimal Spanning Trees, Union-Find |
| Lecture 35 - Dynamic Programming |
| Lecture 36 - Enumeration Types, Threads and Concurrency |
| Lecture 37 - Concurrency, Interrupts |
| Lecture 38 - Assorted Topics |
| Lecture 39 - Course Summary |