Year
2016
Units
4.5
Contact
2 x 2-hour workshops weekly
Prerequisites
1 1 of MATH3702, MATH3025, MATH3026
2 MATH3712 - Partial Differential Equations
3 Admission into HBSC-Bachelor of Science (Honours)
3a Admission into GCEB-Graduate Certificate in Engineering (Biomedical)
3b Admission into GDPEB-Graduate Diploma in Engineering (Biomedical)
3c Admission into MEB-Master of Engineering (Biomedical)
3d Admission into GCEE-Graduate Certificate in Engineering (Electronics)
3e Admission into GDPEE-Graduate Diploma in Engineering (Electronics)
3f Admission into MEE-Master of Engineering (Electronics)
3g Admission into GCESI-Graduate Certificate in Engineering (Smart Instrumentation)
3h Admission into MESI-Master of Engineering (Smart Instrumentation)
3i Admission into HBIT-Bachelor of Information Technology (Honours)
Must Satisfy: ((1 and 2) or ((3 or 3a or 3b or 3c or 3d or 3e or 3f or 3g or 3h or 3i)))
Enrolment not permitted
MATH4702 has been successfully completed
Assumed knowledge
Students undertaking the one year honours programs should check to make sure they have the appropriate background from their undergraduate degree/s.
Topic description
The intention of this topic is to address a few applied problems in detail to illustrate the full process of applying mathematics to solving serious problems. Steps will likely include data analysis, model formulation, analysis, numerical implementation, validation and interpretation. Problems will be drawn from research interests of the presenter and the students, and will be selected from biology and medicine, physical sciences, computer science, engineering, finance and economics.
Educational aims
This capstone topic takes the student through the full process of applying mathematics to solving serious problems.
Expected learning outcomes
At the completion of the topic, students are expected to be able to:
  1. Demonstrate the full process of applying mathematics to solving serious problems including:
    1. Data analysis
    2. Model formulation
    3. Analysis
    4. Numerical implementation
    5. Validation
    6. Interpretation