Overview
Offerings
Rules
Contacts
Chief Examiner(s)
Unit Coordinator(s)
Learning outcomes
Explain the mathematical theory behind a selection of important numerical methods for PDEs, including the derivation of the methods and the analysis of their properties.
Explain and apply notions of accuracy, stability and computational cost when solving PDE problems numerically.
Demonstrate proficiency in numerical methods for PDEs and linear system solving, and apply them to problems in science, engineering, biology and finance.
Implement advanced numerical PDE methods, and demonstrate the correctness and efficiency of the implementations in systematic computational tests.
Apply critical thinking and demonstrate written and oral communication skills in the field of computational mathematics.
Teaching approach
Assessment
Scheduled and non-scheduled teaching activities
Workload requirements
Other unit costs
Costs are indicative and subject to change.
Miscellaneous items required (Printing, Stationery)- $100.