Curriculum
  /  
Descriptions
PROJ_MGT 495: Data Analytics


VIEW ALL COURSE TIMES AND SESSIONS

Description

With the rapidly evolving use of web and mobile technology across various platforms, there has been an ever-increasing amount of user-generated data. The extraction of knowledge from such a large amount of unstructured dynamically changed data is a challenging task. Older methods, models, and algorithms may not perform well under the new situation. 

Data Analytics is a graduate-level class, which introduces most state-of-the-art data analytical concepts, techniques, and right algorithms to solve problems.

This course will cover:

  • the basic concepts of big data framework presented by Hadoop and Spark and how to build a data pipeline
  • Learn algorithms in data mining, machine learning, and social network analysis.
  • Summarize recent research in big data applications that could help establish fundamental knowledge, concepts, and technologies related to the specific data analytics task.

To present this idea clearly, we will take the application in transportation and traffic engineering as an example. The goal of this course is to master the basic data science techniques and analytical tools for solving problems through hands-on experiences and projects.