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 
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) 
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)
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)
  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)
  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)
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)
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)