This course will center on applications of basic data analysis techniques such as data visualization, classification, clustering, and ridge regression. A case study approach will be used to provide immediate immersion into the problem of understanding high-dimensional data. The course will develop the necessary mathematics to understand and execute the techniques. Each student will execute a mini-data analysis project on a real-world data problem such as from engineering, medicine, and business.
| Spring | Summer | Fall | ||
|---|---|---|---|---|
| (Session 1) | (Session 2) | |||
| 2023 | 
                  
                    Intro To Data Mathematics (4c)
                  
                   
 | |||
| 2022 | 
                  
                    Intro To Data Mathematics (4c)
                  
                   
 | |||
| 2021 | 
                  
                    Intro To Data Mathematics (4c)
                  
                   
 | |||
| 2020 | 
                  
                    Intro To Data Mathematics (4c)
                  
                   
 | |||
| 2019 | 
                  
                    Intro To Data Mathematics (4c)
                  
                   
 | |||
| 2018 | 
                  
                    Intro To Data Mathematics (4c)
                  
                   
 | |||
| 2017 | 
                  
                    Intro To Data Mathematics (4c)
                  
                   
 | |||
| 2016 | ||||
| 2015 | ||||
| 2014 | ||||
| 2013 | ||||
| 2012 | ||||
| 2011 | ||||
| 2010 | ||||
| 2009 | ||||
| 2008 | ||||
| 2007 | ||||