In this course, we will introduce techniques to analyze dynamics of evolving microbial populations. The topics we will look to cover are as follows.
Introduction to Evolution and population dynamics;
Fitness Landscape and Sequence Spaces;
Evolutionary Game Theory (fitness dependent on frequency);
Origin of Cooperation (genes to genomes; single-cell to multicellular organisms);
Deterministic and Stochastic Description of Finite Populations;
Evolutionary Graph Theory;
Modeling Infinite Populations;
Examples: Analysis of evolution of Virulence, Cancer, and HIV.
Intended Audience
Senior undergraduates and graduate students from the following disciplines are the intended audience for the course:
Biotechnology,
Bioengineering,
Microbiology,
Chemical Engineering,
Physics
Pre-requisites
Introduction to Microbiology
Introductory
Calculus (XIth standard)
Industries that will recognize this course
Industries involved in active research and
engineering of microorganisms for various biotechnology applications will
benefit from this course.
Course is Core or Elective? Elective UG/PG Course PG
334 students have enrolled already!!
About the Instructor Prof. Supreet Saini is an Associate Professor in the
Department of Chemical Engineering at IIT Bombay. He completed his PhD and MS
in Chemical and Biomolecular Engineering from University of Illinois at
Urbana-Champaign, USA and B.Tech. in Chemical Engineering from IIT Delhi. His
research interests include evolutionary microbiology and systems biology.
Course Plan
Week 1
Lecture 1: History of the theory of Natural Selection – 1
Lecture 2: History of the theory of Natural Selection – 2
Lecture 21: Modelling evolution on fitness landscapes – 3
Lecture 22: Role of Randomness in Evolution
Lecture 23: Genetic Drift in evolution of microbial populations Lecture 24: Dynamics of a Moran process without Selection Lecture 25: Dynamics of a Moran process with Selection
Week 6
Lecture 26: Evolution, Selection, and Genetic Drift
Lecture 27: Representing microbial evolution
Lecture 28: Estimating timescales of Evolution Lecture 29: Estimating the speed of microbial evolution Lecture 30: Evolutionary dynamics when mutations are rare
Week 7
Lecture 31: Evolutionary dynamics when mutations are rapid – 1
Lecture 32: Evolutionary dynamics when mutations are rapid – 2
Lecture 33: Evolutionary dynamics when mutations are rapid – 3 Lecture 34: Evolutionary Game theory – 1 Lecture 35: Evolutionary Game theory – 2
Week 8
Lecture 36: Evolutionary Game theory – 3
Lecture 37: Evolutionary Game theory – 4
Lecture 38: Evolutionary game theory applied to Moran process Lecture 39: Evolutionary games during weak selection Lecture 40: Evolutionary dynamics of HIV
Sean H. Rice, Evolutionary Theory: Mathematical and Conceptual Foundations, Sinauer Associates (2004)
Josef Hofbauer and Karl Sigmund, Evolutionary Games and Population Dynamics, Cambridge University Press (1998);
John Maynard Smith and Eros Szathmary, The Major Transitions in Evolution, W. H. Freeman & Co. (1995)
Karl Sigmund, The Calculus of Selfishness, Princeton University Press (2010)
Certification Exam
The exam is optional for a fee. (Exams will be on 24 September 2017).
Time: Shift 1: 9 AM-12 Noon; Shift 2: 2 PM-5 PM
Any one shift can be chosen to write the exam for a course.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published.
Certificate
Final score will be calculated as : 25% assignment score + 75% final exam score
25% assignment score is calculated as 25% of average of 8 weeks course: Best 6 out of 8 assignments.
E-Certificate
will be given to those who register and write the exam and score
greater than or equal to 40% final score. Certificate will have your
name, photograph and the score in the final exam with the breakup. It
will have the logos of NPTEL and IIT Bombay. It will be e-verifiable
at nptel.ac.in/noc.
