Christopher Brigham, PhD | UMass Dartmouth

BMB 511: Numerical Methods and Modeling

Biostatistical analysis and biological mathematical modeling. Analysis of large biological datasets and development of metabolic and bio-based mathematical models is explored to inform engineering design choices. The course introduces specialized software tools including SPSS, MATLAB and Python for data analysis and model construction.

BMB 590: Master's Thesis

Written presentation of an original research topic in biomedical engineering and biotechnology, which demonstrates the knowledge and capability to conduct independent research. The thesis shall be completed under the supervision of a faculty advisor. An oral examination in defense of the thesis is required.

BMB 620: Capstone Project

A culminating experience in which the student synthesizes his/her course knowledge and experimental skills into a brief but detailed experimental study, which also involves cross-field interdisciplinary cooperation. Although in some cases this project may be done individually under the supervision of one faculty member, it is expected that students will join in a team-based, collaborative effort involving students from a number of different disciplines, post-doctoral fellows and industry representatives and with intercampus participation.

BMB 620: Capstone Project

A culminating experience in which the student synthesizes his/her course knowledge and experimental skills into a brief but detailed experimental study, which also involves cross-field interdisciplinary cooperation. Although in some cases this project may be done individually under the supervision of one faculty member, it is expected that students will join in a team-based, collaborative effort involving students from a number of different disciplines, post-doctoral fellows and industry representatives and with intercampus participation.

BNG 423: Biosystems Analysis and Design

Biomedical signal characteristics, properties of physiological systems, and mathematical modeling of signals from biosystems and biomedical instrumentation. Applied mathematical methods for describing and analyzing biomedical signals such as ECG, EEG, EMG, heart sounds, breath sounds, blood pressure, and tomographic images are considered. Computational, modeling and simulation tools (e.g., MatLab and LabView) are introduced for biomedical signal processing and systems analysis. A group computer project in bioengineering design will be assigned to enhance the proficiency in using the modeling and simulation tools.

BNG 430: Synthetic Biology

A detailed overview of the important aspects of the emerging field of synthetic biology. The field of synthetic biology spans the boundaries of biology, chemistry and engineering with the goal of engineering biomolecular systems and cellular capabilities for a variety of applications. This course will cover three foundational parts of synthetic biology, including the biological background of molecular genetics, gene regulation, experimental methods for genetic circuit construction and networks/network modeling. Successful applications of synthetic biology in biofuels, biomedicine and other areas will be discussed in detail to demonstrate the potential impact of the field in these areas.

BNG 530: Synthetic Biology

A detailed overview of the important aspects of the emerging field of synthetic biology. The field of synthetic biology spans the boundaries of biology, chemistry and engineering with the goal of engineering biomolecular systems and cellular capabilities for a variety of applications. This course will cover three foundational parts of synthetic biology, including the biological background of molecular genetics, gene regulation, experimental methods for genetic circuit construction and networks/network modeling. Successful applications of synthetic biology in biofuels, biomedicine and other areas will be discussed in detail to demonstrate the potential impact of the field in these areas.