Laurier Flow

© 2024 LaurierFlow. All rights reserved.

AboutPrivacy



Course Reviews

No Reviews With Body Yet

MA 880

Grad Seminar in Math & Stats

0%Liked

Easy

0%

Useful

0%

0 ratings

This course is designed to develop the capacity to abstract salient features of problems in all three identified application domains of mathematical and statistical modelling, and to develop, analyse, and interpret models. This course sets the tone by introducing the students to all aspects of modelling, including formulating a mathematical representation of the real-world problem of interest, solving that problem, and interpreting the results in the context of the application domain. Commonality of mathematical and statistical methods and structures across disciplines is emphasized. Students work individually and in groups, and produce both written and oral reports on their projects.

This course is designed to develop the capacity to abstract salient features of problems in all three identified application domains of mathematical and statistical modelling, and to develop, analyse, and interpret models. This course sets the tone by introducing the students to all aspects of modelling, including formulating a mathematical representation of the real-world problem of interest, solving that problem, and interpreting the results in the context of the application domain. Commonality of mathematical and statistical methods and structures across disciplines is emphasized. Students work individually and in groups, and produce both written and oral reports on their projects.

0%Liked

Easy

0%

Useful

0%

0 ratings

This course is designed to develop the capacity to abstract salient features of problems in all three identified application domains of mathematical and statistical modelling, and to develop, analyse, and interpret models. This course sets the tone by introducing the students to all aspects of modelling, including formulating a mathematical representation of the real-world problem of interest, solving that problem, and interpreting the results in the context of the application domain. Commonality of mathematical and statistical methods and structures across disciplines is emphasized. Students work individually and in groups, and produce both written and oral reports on their projects.


MA 880

Grad Seminar in Math & Stats

0%Liked

Easy

0%

Useful

0%

0 ratings

This course is designed to develop the capacity to abstract salient features of problems in all three identified application domains of mathematical and statistical modelling, and to develop, analyse, and interpret models. This course sets the tone by introducing the students to all aspects of modelling, including formulating a mathematical representation of the real-world problem of interest, solving that problem, and interpreting the results in the context of the application domain. Commonality of mathematical and statistical methods and structures across disciplines is emphasized. Students work individually and in groups, and produce both written and oral reports on their projects.

This course is designed to develop the capacity to abstract salient features of problems in all three identified application domains of mathematical and statistical modelling, and to develop, analyse, and interpret models. This course sets the tone by introducing the students to all aspects of modelling, including formulating a mathematical representation of the real-world problem of interest, solving that problem, and interpreting the results in the context of the application domain. Commonality of mathematical and statistical methods and structures across disciplines is emphasized. Students work individually and in groups, and produce both written and oral reports on their projects.

0%Liked

Easy

0%

Useful

0%

0 ratings

This course is designed to develop the capacity to abstract salient features of problems in all three identified application domains of mathematical and statistical modelling, and to develop, analyse, and interpret models. This course sets the tone by introducing the students to all aspects of modelling, including formulating a mathematical representation of the real-world problem of interest, solving that problem, and interpreting the results in the context of the application domain. Commonality of mathematical and statistical methods and structures across disciplines is emphasized. Students work individually and in groups, and produce both written and oral reports on their projects.


MA 880 Prerequisites

No Prerequisite Information Available

MA 880 Leads To

No Leads To Information Available

MA 880 Restrictions

Must be enrolled in one of the following Levels:

Graduate (GR)

Course Schedule