Manoj Srinivasan - Teaching

Teaching at Princeton University

APC/MOL 360:  Biological Dynamics.
Spring 2007. Co-Instructor with Ned Wingreen.

This is a course for students in the biological sciences. The focus is on learning mathematical methods and their applications to biological problems. The course is intended for students who may not pursue further study in mathematics, to give them a basic grounding in mathematical modeling. Topics include differential equations, linear algebra, difference equations, and probability. The course will also require a project presentation about a biological application of interest to the student.

Course Webpage of the current version of the course, taught by Ned Wingreen and Carlos Brody.

Teaching at Cornell University

Teaching assistant as a graduate student at Cornell University. This usually involved one or more of the following: lecturing in weekly "sections", office hours, grading assignments and exams, laboratory lectures, preparing and administering short quizzes, etc.

ENGRI  118:  Design Integration: CDROM Player. Fall 2004.
MATH   191:  Math for Engineers I - Univariate Calculus. Summer 2003.
MATH   192:  Math for Engineers II - Multivariate Calculus. Spring 2005.
ENGRD 202:  Mechanics of Solids, Statics. Fall 2004.
ENGRD 203:  Undergraduate Dynamics. Spring 2002, Spring 2003.
MATH   293:  ODEs and Multivariate Calculus. Fall 2002.
T&AM   310:  Advanced Engineering Mathematics. Spring 2002, Summer 2002, Summer 2003.

Future teaching interests

Introduction to biomechanics, legged locomotion, and sensorimotor control.
This will be an introduction to what we know about how humans and animals move, and why they move the way they do, from the perspective of an engineer. Suitable for advanced undergraduates and graduate students with a good math background. How animals move. How muscles work. Legged locomotion: experiments, simple models, energetics, and stability. Optimality as a theory of legged locomotion and motor coordination. Optimal control and Bayesian inference. Introduction to physics-based animation of animal characters and bio-inspired robotics.

Optimization and robustness in engineering design and biology.

Mathematical Physiology.

And other more standard mechanical engineering courses in mechanics, dynamics, and optimal control.