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5.0
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5.0
Difficulty
1,000
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99%
Would take again
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
BMEN 7341 Benjamin Porter | |||||
A- | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
BMEN 7341 Benjamin Porter | |||||
A- | |||||
Benjamin Porter
[email protected]Grades: 2,375
Median GPA: A
Mean GPA: 3.693
4.9
Professor rating
1.5
Difficulty
30
Ratings given
100%
Would take again
Biostatistics
BMEN 7341
Erik Jonsson School of Engineering and Computer Science
Biostatistics for Biomedical Engineers provides instruction on selected, important topics in biostatistical concepts and reasoning. Specific topics include tools for describing central tendency and variability in data; determining and justifying sample size; formulating hypotheses; selecting appropriate statistical analysis techniques; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; general principles of study design; review of methods for comparison of discrete and continuous data; correlation and regression. This course emphasizes the practical application of skills for statistical interpretation of research data. 3 credit hours.
Prerequisites: PhD standing and department consent required.
Offering Frequency: Each year
Grades: 30
Median GPA: B+
Mean GPA: 3.256
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Benjamin Porter
[email protected]Grades: 2,375
Median GPA: A
Mean GPA: 3.693
4.9
Professor rating
1.5
Difficulty
30
Ratings given
100%
Would take again
Biostatistics
BMEN 7341
Erik Jonsson School of Engineering and Computer Science
Biostatistics for Biomedical Engineers provides instruction on selected, important topics in biostatistical concepts and reasoning. Specific topics include tools for describing central tendency and variability in data; determining and justifying sample size; formulating hypotheses; selecting appropriate statistical analysis techniques; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; general principles of study design; review of methods for comparison of discrete and continuous data; correlation and regression. This course emphasizes the practical application of skills for statistical interpretation of research data. 3 credit hours.
Prerequisites: PhD standing and department consent required.
Offering Frequency: Each year
Grades: 30
Median GPA: B+
Mean GPA: 3.256
Click a checkbox to add something to compare.