Semester.ly

Johns Hopkins University | EN.540.402

Metabolic Systems Biotechnology

3.0

credits

Average Course Rating

(3.46)

The aim of this course is to provide a fundamental understanding of the quantitative principles and methodologies of systems biology and biochemical engineering of metabolism. This includes concepts of cellular growth, cellular stoichiometric models, metabolic networks, metabolite fluxes, and genome-scale metabolic models. Quantitative methods and systems biology approaches for metabolic flux analysis and metabolic control theory will be included as well as an analysis of biochemical systems and bioreactors including a consideration of mass transport processes.

Fall 2012

(2.5)

Fall 2014

(3.75)

Fall 2022

(4.13)

Fall 2012

Professor: Michael Betenbaugh

(2.5)

The best parts of this course were the interesting subject material, good lectures, and labs. The negative aspects of the course were the very difficult exams and complex math that was involved in a lot of the assignments. Some students also said that the lectures were too similar to the textbook and that there were not enough examples. Students suggested using a better textbook and giving out practice exams or more practice problems to study. Students also wished the class had covered more practical applications. Students considering this course should expect a difficult course that is dependent on knowing MATLAB. Students said that overall this is a difficult class, but the textbook is a great resource.

Fall 2014

Professor: Michael Betenbaugh

(3.75)

Students praised the way the course material for this class was delivered by the instructor in a clear and straightforward way. They found that the biggest drawback of the class was the three-hour-long time allotment for classes. Some students thought the course could be improved if sessions were divided up over multiple days. Students also felt the course could benefit if more practice problems were reviewed before exams. People considering taking this class should have some background knowledge of math, biology and biochemistry, students said.

Fall 2022

Professor: Michael Betenbaugh

(4.13)

Lecture Sections

(01)

No location info
M. Betenbaugh
13:30 - 16:30