id: 06618973
dt: j
an: 2016e.00949
au: Larripa, Kamila R.; Mazzag, Borbala
ti: A modular approach to teaching mathematical modeling in biotechnology in
the undergraduate curriculum.
so: PRIMUS, Probl. Resour. Issues Math. Undergrad. Stud. 26, No. 5, 485-504
(2016).
py: 2016
pu: Taylor \& Francis, Philadelphia, PA
la: EN
cc: M65 D35 D45
ut: mathematical modeling; biotechnology; interdisciplinary undergraduate
education; STEM; modules
ci:
li: doi:10.1080/10511970.2015.1104524
ab: Summary: Our paper describes a solution we found to a still existing need
to develop mathematical modeling courses for undergraduate biology
majors. Some challenges of such courses are: (i) relatively limited
exposure of biology students to higher-level mathematical and
computational concepts; (ii) availability of texts that can give a
flavor of how contemporary biological problems are approached with
quantitative methods; (iii) expectations to cover specific mathematical
(or biological) content rather than teach a problem-solving approach.
We solved these challenges by designing a course where several modules
were developed, each beginning with a presentation from a campus expert
in a biological area of research and concluding with a seminar-style
student-led paper presentation of an article that addresses the
biological problem using mathematical and computational tools. The aim
of the course was to expose students to the vast possibilities and
potential in quantitative biology, and to give them a vocabulary to
collaborate with mathematicians, statisticians, and computer
scientists.
rv: