BIOE5750 — Modeling and Inference in Bioengineering: Reviews & Ratings

BIOE5750 (Modeling and Inference in Bioengineering) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.

Develops a set of statistical tools to address poorly posed inverse problems. Interpreting complex and partial information is a routine task in research as well as in our daily lives. Such tasks include estimating quantitative properties of a biological system from indirect noisy measurements, responding to fluctuating environmental signals, or breaking encrypted messages. Common to these diverse questions is a need to construct a predictive model from partial data. Draws on examples from primary literature in biology to study text recognition, trait mapping, sequence alignment, decoding cryptographs, processing of chemoattractive signals to find food, and survival strategies of bacteria in unpredictable environments.

Last taught
Fall 2026
Credits
4 Hours
Prerequisites
(((MATH 2321 with a minimum grade of D- or MATH 316M with a minimum grade of D- ); (MATH 2341 with a minimum grade of D- or MATH 315M with a minimum grade of D- )); (BIOE 2365 with a minimum grade of D- or (CHME 3315 with a minimum grade of D- ; CHME 4315 with a minimum grade of D- ))) or graduate program admission

Data updated October 2026.

View on RateMyHusky