|Dates / Deadlines:|
|Term||Year||App Deadline||Decision Date||Start Date||End Date|
|Summer||2015||03/04/2015 **||Rolling Admission||06/01/2015||06/21/2015|
** Indicates rolling admission application process. Students will be immediately notified of acceptance into this program and be able to complete post-decision materials prior to the term's application deadline.
|Language Requirement:||None||GPA:||good academic standing|
|Disciplines offered:||Engineering||Program Advisor:||Alicia Gonzales - email@example.com|
|Tuition Remission Eligible Program:||Yes||Program Type:||Undergraduate|
Shanghai is the largest city by population of the People's Republic of China and the largest city proper by population in the world. It is a global city, with influence in commerce, culture, finance, media, fashion, technology, and transport. It is a major financial center and the busiest container port in the world. Originally, Shanghai was a seaside fishing village but over the past 700 years it has grown consistently. Today Shanghai is a multi-cultural metropolis with both modern and traditional Chinese features. Her population is over 18.7 million people, including 2 million floating population. This combined with the city covering 5,800 square kilometers makes her China's largest city. In short, Bubbling Shanghai shows off every aspect of her unique glamour.
Beijing is a city of contrasts - a modern Asian boom-town that strives to preserve the cultural landscape of its glorious past while all around the glass and steel emblems of its dynamic present flourish. As the political and cultural capital of China, Beijing attracts people from all over the world. While its new high-rises and financial institutions testify to its booming economy, remnants of Old Beijing remain. Streets lined with dumpling and noodle stands, beautiful parks bedecked with pagodas, and 19th century homes with graceful four-walled courtyards still charm visitors from around the world.
COMP 494: Data Mining
Dates: June 1 - 21
Professor: Dr. Eric Jiang. Click to view biography
Pre-requisite: MATH 150 and COMP 151, or permission of the instructor
Data mining is a new interdisciplinary field of computer science and represents a process of analyzing and extracting patters embedded in large amounts of data by using various methods from machine learning, statistics and database management. With the rapid proliferation of the Internet and advances of computing technology, data mining has become an increasingly important tool of transforming large quantities of digital data into meaningful and actionable information in many areas including business and finance, health care, telecommunication, science and higher education. The course provides a comprehensive introduction to data mining with a primary focus on fundamental concepts, algorithms and applications of association analysis, classification and clustering modeling. It will also discuss ethical issues related to data mining and advanced data mining models.
Additional Information: This course satisfies a 3-unit upper-division elective in computer science (COMP), electrical engineering (ELEC), industrial and systems engineering (ISYE), or a 3-unit upper-division tech elective in mechanical engineering (MENG).
For a detailed description of program costs please see the Program Cost in the box at the top of this webpage. Click on the link which corresponds to the term you plan to study abroad.
Student's double-occupancy hotel accommodations are included as part of the program's costs.