Courses - Summer 2025
BIOE221
Academic and Career Planning
Credits:
1
Grad Meth:
Reg
Prerequisite: BIOE120 and BIOE121.
Restriction: Permission of ENGR-Fischell Department of Bioengineering department.
Provides practical tools to help Bioengineering majors think critically about their goals and career paths. Guides Bioengineering students through accessing useful resources both on- and off-campus.
BIOE232
Bioengineering Thermodynamics
Credits:
3
Grad Meth:
Reg, P-F, Aud
Prerequisite: PHYS261 and PHYS260.
Restriction: Permission of ENGR-Fischell Department of Bioengineering department.
Credit only granted for: BIOE232, ENES232, ENME232, or ENME320.
A quantitative introduction to thermodynamic analysis of bioengineering systems. Bioengineering encompasses a wide range of applications from nanoscale interactions (e.g. reactions between molecules), to cellular interactions (e.g. membrane electrical currents), to overall balances on organisms, all the way to large scale manufacturing. Each of these applications (and many others not mentioned) involve energy interactions which is the domain of thermodynamics. The basic laws of thermodynamics will be introduced and explained through a series of examples related to bioengineering systems.
BIOE371
Linear Systems and Ordinary Differential Equations for Bioengineering Applications
Credits:
3
Grad Meth:
Reg, P-F, Aud
Prerequisite: BIOE241; and must have completed or be concurrently enrolled in MATH246.
Restriction: Permission on ENGR-Fischell Department of Bioengineering department.
This class utilizes fundamentals in linear systems, including eigenvalues and eigenvectors, as well as linear differential equations, to study various problems in bioengineering and biological systems, with a particular emphasis on feedback, stability, controllability, and control design.
BIOE399
Independent Study in Bioengineering
Credits:
1 - 3
Grad Meth:
Reg, P-F, Aud
BIOE399H
Independent Study in Bioengineering
Credits:
1 - 3
Grad Meth:
Reg, P-F, Aud
BIOE431
Fundamentals of Biosensor Techniques, Instrumentation, and Applications
Credits:
3
Grad Meth:
Reg, P-F, Aud
Prerequisite: CHEM135, PHYS260, PHYS261, BSCI330, BIOE120, BIOE121, BIOE241, and MATH246; or permission of ENGR-Fischell Department of Bioengineering department.
Restriction: Permission of ENGR-Fischell Department of Bioengineering department.
A thorough review of fundamental concepts of biosensing systems, principles of common detection methods, and modern applications of biosensors. Primarily literature driven. Students will obtain a detailed understanding of cutting-edge biosensing techniques, the instrumentation used, and the application space. Students also will develop skills in using current literature as a source of knowledge.
BIOE489A
Special Topics in Bioengineering; Machine Learning for Data Analysis
Credits:
3
Grad Meth:
Reg, P-F, Aud
Prereqs: BIOE372 and BIOE442 or Permission of the Fischell Department of Bioengineering.
Instructs students in the fundamentals of machine learning methods through examples in the biological phenomenon and clinical data analysis. This course is designed to share knowledge of real-world data science and aid to learn complex machine learning theory, algorithms, and coding libraries in a simple way. Students will learn the machine learning theory, but they will also get hands-on practice building their models using programming tools such as Python and R.
Instructs students in the fundamentals of machine learning methods through examples in the biological phenomenon and clinical data analysis. This course is designed to share knowledge of real-world data science and aid to learn complex machine learning theory, algorithms, and coding libraries in a simple way. Students will learn the machine learning theory, but they will also get hands-on practice building their models using programming tools such as Python and R.
BIOE631
Biosensor Techniques, Instrumentation, and Applications
Credits:
3
Grad Meth:
Reg, Aud, S-F
Prerequisite: Permission of ENGR-Fischell Department of Bioengineering department.
Credit only granted for: BIOE631, BIOE689Z, or CHPH718Z.
Formerly: BIOE689Z.
A thorough review of fundamental concepts of biosensing systems, principles of common detection methods, and modern applications of biosensors. Primarily literature driven. Students will obtain a detailed understanding of cutting-edge biosensing techniques, the instrumentation used, and the application space. Students also will develop skills in using current literature as a source of knowledge.
BIOE658C
Special Topics in Bioengineering (M.Eng.); Introduction to Bioinformatics
Credits:
3
Grad Meth:
Reg
This course explores essential tools and methodologies used in bioinformatics, catering to a life sciences audience interested in biological data analysis. The curriculum is structured to enhance understanding through practical, hands-on sessions using industry-standard software. Key areas of focus include database navigation, sequence alignment, gene prediction, protein structure and function analysis, and genomic and transcriptomic assembly. Each week builds on the previous, starting with the basics of bioinformatics and advancing to complex data analysis techniques.
BIOE799
Master's Thesis Research
Credits:
1 - 6
Grad Meth:
S-F
BIOE898
Pre-Candidacy Research
Credits:
1 - 8
Grad Meth:
Reg
BIOE899
Doctoral Dissertation Research
Credits:
1 - 8
Grad Meth:
S-F
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University of Maryland, College Park, MD 20742, USA
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