Algorithms, Part I: Online course by Princeton University

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers basic iterable data types, sorting, and searching algorithms.

About the course
An introduction to fundamental data types, algorithms, and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Specific topics covered include: union-find algorithms; basic iterable data types (stack, queues, and bags); sorting algorithms (quicksort, mergesort, heapsort) and applications; priority queues; binary search trees; red-black trees; hash tables; and symbol-table applications.

Prerequisites
This course requires a basic familiarity with programming in Java. This course is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest (and some background) in programming.

Course Format
There will be two lectures (60-75 minutes each) each week. The lectures are divided into about 4-6 segments, separated by interactive quiz questions for you to to help you process and understand the material. In addition, there will be a problem set and a programming assignment each week and there will be a final exam.

Course Sessions
September 5, 2014 - October 17, 2014

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