Summer course offerings for the M.A. in Mathematics for Teachers program have been 'officially' listed.
Math 5350 (June 8 - July 16) An introduction to Mathematical Modeling - Discrete Time & Probability
J. Heffernan
MR 6:00-9:00 Ross N836
Math 5360 3.0 (July 20 - Aug 27) An introduction to Mathematical Modeling - Continuous Time & Probability
J. Heffernen
MR 6:00-9:00 Ross N836
Math 5910 3.0* (EDUC 5210) Quantitative Research Methods in Education
P.D. Millett
MTRF 9:30-2:30
W 9:30-3:30
Math 5350 3.0 - An introduction to Mathematical Modeling – Discrete Time and Probability
This course provides an introduction to discrete time and probabilistic mathematical models. The course focuses on the mathematical methods underlying scientific inquiry and discovery. Through hands-on exploration and reflection, students will examine topics such as historical connections between mathematics and science, empirical modeling, model validation, proportionality, and simulation. The course starts with an overview of the modeling process and a review of relevant technology - Texas Instrument TI-92, the Internet and the World Wide Web, Java applets and computer algebra systems. Strategies to initiate modeling in the secondary classroom and classroom assessment of modeling activities are introduced and discussed. Topics include difference equations, Markov chains, and leslie matrices, applied to problems in biology, the environment, and finance i.e. modeling infectious disease spread, species extinction, power delivery. Particular attention is given to topics in the intermediate and senior Ontario curriculum.
Math 5360 3.0 - An introduction to Mathematical Modeling – Continuous Time and Probability
This course provides an introduction to continuous-time and probabilistic mathematical models. The course focuses on the mathematical methods underlying scientific inquiry and discovery. Through hands-on exploration and reflection, students will examine topics such as historical connections between mathematics and science, empirical modeling, model validation, proportionality, and simulation. The course starts with an overview of the modeling process and a review of relevant technology - Texas Instrument TI-92, the Internet and the World Wide Web, Java applets and computer algebra systems. Strategies to initiate modeling in the secondary classroom and classroom assessment of modeling activities are introduced and discussed. Topics include differential equations, Markov processes, and leslie matrices, applied to problems in biology, the environment, and finance i.e. modeling infectious disease spread, predator prey, heat flow. Particular attention is given to topics in the intermediate and senior Ontario curriculum.
Instructor: Jane Heffernan (jmheffer at yorku dot ca)
Math 5350 and Math 5360 are new and I am really excited that we are offering these courses because they promise some interesting content that you will not find in too many other programs (undergraduate or graduate). The other great feature that these courses introduce into the program is the flexibility of the 3.0 credit option. Most of our previous classes have all been 6.0 credits and I plan to try to offer a few more like this in the future.
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Do we know when the enrollment window will open?
ReplyDeleteI have been told April 27 but I need to ask Primrose about it because I can't confirm that yet.
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