Quantitative Understanding in Biology
Q3-Q4 2011

Home | Schedule and Lecture Notes | Prerequisites | Grading

Mondays and Thursdays, 9:00 am – 10:30 am
Location: Weill Greenberg Center (1305 York Avenue); 13th Floor ICB Conf Room, Y.13.01

Module I: Statistics

Mon 24-Jan: Welcome; Quantifying a Sample Distribution (lecture notes)
Thu 27-Jan: Probability Density Functions and the Normal Distribution (lecture notes)
Mon 31-Jan: Confidence Intervals and Contingency Tables (lecture notes)
Thu 3-Feb: P-Values and Formal Statistical Tests (lecture notes)
Mon 7-Feb: Statistical Power and Experimental Design (lecture notes)
Thu 10-Feb: SPECIAL TOPICS FACULTY LECTURE: Behavioral Neuroscience (Dr. Glen Prusky)
Mon 14-Feb: No Class
Thu 17-Feb: Multiple Hypothesis Testing and Non-Parametric Tests (lecture notes)
Mon 21-Feb: No Class
Thu 24-Feb: SPECIAL TOPICS FACULTY LECTURE: Applications to High-Throughput Sequencing -- Dr. Christopher Mason (slides)
Mon 28-Feb: Statistics Computer Laboratory (problem statement; data will be provided in class or via email upon request)

Module II: Model Parameter Estimation

Thu 3-Mar: Correlation and Linear Regression (lecture notes)
Mon 7-Mar: SPECIAL TOPICS FACULTY LECTURE:Predicting Gene Expression in Lymphoma -- Dr. Olivier Elemento (slides)
Thu 10-Mar: Fitting Model Parameters to Data (lecture notes)
Mon 14-Mar: Quantitative Comparison of Models (lecture notes)
Thu 17-Mar: Parameter Estimation Computer Laboratory (problem statement)

Module III: Linear Difference Equations and Linear Algebra

Mon 21-Mar: Introduction to Dynamic Systems and Linear Difference Equations (lecture notes); Statistics computer lab due
Thu 24-Mar: Periodic Behavior and Complex Eigenvalues (lecture notes)

Intermission

Mon 28-Mar: No Class (review for midterm exam)
Thu 31-Mar: (8:30 AM - 11:30 AM): Midterm Exam (the exam will be held in LC-504, the Physiology conference room, 1300 York Ave, 5th floor); Parameter Estimation computer lab due
Mon 4-Apr: No Class (Spring Break Holiday)
Thu 7-Apr: No Class (Spring Break Holiday)
Mon 11-Apr: SPECIAL TOPICS FACULTY LECTURE: Machine Learning Methods in Biology -- Dr. Christina Leslie
(slides)
Thu 14-Apr: SPECIAL TOPICS LABORATORY: Machine Learning Methods in Biology
(preparation; bring your laptop)

Module III: Linear Difference Equations and Linear Algebra (cont'd)

Mon 18-Apr: A First Look at Eigenvectors (lecture notes)
Thu 21-Apr: Principal Component Analysis (lecture notes)
Mon 25-Apr: Linear Difference Equations Laboratory (problem statement)
Thu 28-Apr: No Class (du Vigneaud Symposium)

Module IV: Dynamical Systems and Ordinary Differential Equations

Mon 2-May: Representing Time Dependent Phenomena with ODEs (lecture notes)
Thu 5-May:Stability and Linearization of ODEs -- part I (lecture notes)
Mon 9-May: SPECIAL TOPICS FACULTY LECTURE: Voltage Gated Channels -- Dr. Trine Krogh-Madsen (slides)
Thu 12-May: SPECIAL TOPICS LABORATORY: Voltage Gated Channels -- Dr. Trine Krogh-Madsen lab writeup (files to download: LR1.pdf LR1.m LR1_alternans.m LR1_ctrl.m); right click and choose Save As... if necessary)
Mon 16-May: Stability and Linearization of ODEs -- part II (same notes as part I)
Thu 19-May: ODE Laboratory (problem statement)

Conclusion

Mon 23-May: Introduction to Markov Chains and Hidden Markov Models (lecture notes)
Thu 26-May: Students’ Final Project Presentations
Mon 30-May: No Class
Thu 2-Jun: Students’ Final Project Presentations
Mon 6-Jun: Students’ Final Project Presentations
Thu 9-Jun (8:30 AM - 11:30 AM): Final Exam (the exam will be held in LC-504, the Physiology conference room, 1300 York Ave, 5th floor) (three previous exams)