Academic Calendar 2023-2024

Search Results

ELEC 409 Bioinformatic Analytics

ELEC 409  Bioinformatic Analytics  Units: 3.00  

The course surveys: microarray data analysis methods; pattern discovery, clustering and classification methods; applications to prediction of clinical outcome and treatment response; coding region detection and protein family prediction. At the end of this course, students should be able to appreciate some approaches related to individualizing medical treatment, as well as to apply some of the methods, such as alternatives to PCA, to more traditional engineering problems.
(Lec: 3, Lab: 0, Tut: 0)

Requirements: Prerequisites: APSC 174, ELEC 224 or MREN 223, ELEC 326 or ENPH 252 Corequisites: Exclusions:  
Offering Term: F  
CEAB Units:    
Mathematics 9  
Natural Sciences 0  
Complementary Studies 0  
Engineering Science 18  
Engineering Design 9  
Offering Faculty: Smith Engineering