University Course Planner The University of Adelaide Australia

APP MTH 7049 - Applied Mathematics Topic D

Career: Postgraduate Coursework
Units: 3
Term: 3820
Campus: North Terrace
Available for Study Abroad and Exchange: Yes
Available for Non-Award Study: No
Assessment: Ongoing assessment, exam
Syllabus:

This course is available for students taking a Masters degree in Mathematical Sciences. The course will cover an advanced topic in applied mathematics. For details of the topic offered this year please refer to the Course Outline.

Course Fees

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Student Status

Domestic
International

What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Undergraduate
Postgraduate Coursework
Non Award

Program of Study

Study Abroad student tuition fees are available here

Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.

The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.

Units
EFTSL
Amount
3
0.125
          
  


Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here


Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
3820 Mon 06/08/2018 Fri 31/08/2018 Fri 14/09/2018 Fri 26/10/2018


Class Details

Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
24189 LE01 10 6 23 Jul - 10 Sep Monday 11am - 12pm Engineering & Mathematics, EM212, Teaching Room
24 Jul - 11 Sep Tuesday 11am - 12pm Hughes, 309, Hughes Lecture Theatre
26 Jul - 13 Sep Thursday 4pm - 5pm Hartley, 122, Teaching Room
1 Oct - 22 Oct Monday 11am - 12pm Engineering & Mathematics, EM212, Teaching Room
2 Oct - 23 Oct Tuesday 11am - 12pm Hughes, 309, Hughes Lecture Theatre
4 Oct - 25 Oct Thursday 4pm - 5pm Hartley, 122, Teaching Room
Topic: Matrix Analytic Methods in Stochastic Modelling