Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating | 
|---|---|---|
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
 My Planner
My PlannerExplore and compare past grades, professor ratings, and reviews to find the perfect class.
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating | 
|---|---|---|
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating | 
|---|---|---|
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
Introduction to Statistical and Machine Learning for Bioengineering
BMEN 6303
Erik Jonsson School of Engineering and Computer Science
Machine learning models introduced include linear and logistic regression, classification using Naïve Bayes, Decision Trees, Support Vector Machines, and clustering. Python used as programming language. Emphasis in project work on biomedical engineering topics. 3 credit hours.
Prerequisite: BMEN 7340 or equivalent background in statistics; programming skills.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.
Search Results
| Name | Grades | Rating | 
|---|---|---|
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
Search Results
| Name | Grades | Rating | 
|---|---|---|
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
| A+ | ||
Introduction to Statistical and Machine Learning for Bioengineering
BMEN 6303
Erik Jonsson School of Engineering and Computer Science
Machine learning models introduced include linear and logistic regression, classification using Naïve Bayes, Decision Trees, Support Vector Machines, and clustering. Python used as programming language. Emphasis in project work on biomedical engineering topics. 3 credit hours.
Prerequisite: BMEN 7340 or equivalent background in statistics; programming skills.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
| BMEN 6303 (Overall) | |||||
| BMEN 6303 Katherine Brown | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
| BMEN 6303 (Overall) | |||||
| BMEN 6303 Katherine Brown | |||||