BIOE 5750 — Modeling and Inference in Bioengineering

4 semester hoursGraduateLecturetypical days: W/FBostonTraditional

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.

Prerequisites

• one of:
  • all of:
    • all of:
      • one of:
        • MATH 2321 (min D-)
        • MATH 316M
      • one of:
        • MATH 2341 (min D-)
        • MATH 315M
    • one of:
      • BIOE 2365 (min D-)
      • all of:
        • CHME 3315 (min D-)
        • CHME 4315 (min D-)
  • graduate program admission

Offering history

Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.

Meeting times

Share of recent sections by weekday: M 0% · T 0% · W 50% · Th 0% · F 50%

Common patterns: W (50% of sections), F (50% of sections) — in patterns, R means Thursday

Professors

Fall

• Benjamin Gyori (100% of students) · reviews

Spring

• Erel Levine (100% of students) · reviews

Percentages are each professor's average share of the season's enrolled students in recent terms.

Links

Official catalog (BIOE course descriptions) · Student reviews on RateMyHusky · All BIOE courses · Plan it at numap.app