Honor code. All students in the course must agree to abide by the Coursera honor code. In particular, do not post solutions or partial solutions to programming assignments; however, you are permitted to discuss general ideas and problem-solving approaches. You are also permitted to discuss solutions to exercises and job interview questions.|
assignments不可以share code，但是exercise和job interview questions是可以的
课程汇总 && 介绍：http://www.1point3acres.com/bbs/thread-78774-1-1.html
We conclude the course by considering hash tables, a data structure that achieves constant-time performance for core symbol table operations, provided that search keys are standard data types or simply defined. Then we consider several fundamental (and useful) examples of symbol-table clients.
Lecture: Hash Tables. We begin by describing the desirable properties of hash function and how to implement them in Java, including a fundamental tenet known as theuniform hashing assumption that underlies the potential success of a hashing application. Then, we consider two strategies for implementing hash tables—separate chaining and linear probing. Both strategies yield constant-time performance for search and insert under the uniform hashing assumption. We conclude with applications of symbol tables including sets, dictionary clients, indexing clients, and sparse vectors.
Exercises. Drill exercises on the lecture material.
Final exam. The final exam is cumulative and designed to make sure you understand how each algorithm works and when it is effective. The final will not involve Java programming. You may take the final exam up to three times (and we will record your best score).
Job Interview Questions. Algorithmic interview questions based on the lecture material.
Suggested readings. Section 3.4 in Algorithms, 4th edition.