Instructors

Prof. Vijay Chandru and Prof. G. K. Ananthasuresh

Email: vijaychandru@IISc.ac.in & suresh@iisc.ac.in

Teaching Assistant
No teaching assistant for this course Email: Not applicable

Department: BioSystems Science and Engineering

Semester: Aug - Dec, 2017

Course timing: Mon 2:00 PM-3:00 PM, Fri 2:30 PM

Course venue: BSSE Meeting Room

Announcements

No announcements

Brief description of the course

Epidemiology is the study of health and disease in populations. Googles Flu Trends, Flowminder, Healthmap, Biodiaspora are several examples of digital epidemiology already in play.

Engineered systems that are built from and depend upon, the seamless integration of computational algorithms and physical components is how National Science Foundation defines the field of cyber physical systems (CPS). Digital Epidemiology can be viewed as a health care application of CPS. The foundations of CPS includes a focus on the modeling of dynamic systems with attention to integrating computing, communication and control in uncertain and heterogeneous environments.

Modeling paradigms include linear and non-linear, stochastic, discrete-event and hybrid models that are analyzed by methods of optimization, probability theory and dynamic programming. The purpose of this course is to introduce this emerging discipline of digital epidemiology to students at IISc. This offering of the course will be limited to a class size of 20 students.

Pre-requisites:
The only prerequisite for this course is a reasonable preparation in computational mathematics.

Grading policy

To be Updated

Syllabus

To be Updated

Assignments

To be Updated

Resources

  1. Epidemiology, A Very Short Introduction, Rodolfo Saracci, Oxford University Press
  2. Statistical models in Epidemiology, D. Clayton and M. Hills, Oxford University Press
  3. Statistical Methods in Epidemiology, the Environment and Clinical Trials, Halloran, M. Elizabeth, Berry, Donald
  4. Marcel Salathe et al., Digital epidemiology, PLoS Computational Biology, 8(7), 2012.
  5. M. Newman. The structure and function of complex networks. SIAM Review, 45, 2003.
  6. F. Brauer, P. van den Driessche, and J. Wu, editors. Mathematical Epidemiology. Springer Verlag, Lecture Notes in Mathematics 1945.
  7. R.M. Anderson and R.M. May. Infectious Diseases of Humans. Oxford University Press, Oxford, 1991
  8. N. T. J. Bailey. The Mathematical Theory of Infectious Diseases and Its Applications. Hafner Press, New York, 1975.
  9. M. Gersovitz and J. S. Hammer. Infectious diseases, public policy, and the marriage of economics and epidemiology. The World Bank Research Observer, 18(2):129-157, 2003.