Note: This is an archived Handbook entry from 2009. Search for this in the current handbook
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2009:Semester 2, - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 hours comprising 2 one-hour lectures per week and 1 one-hour practice class per week. |
Total Time Commitment: Three contact hours per week and seven hours private study.
|Recommended Background Knowledge:||It is recommended that students have completed third year subjects in graph theory and/or discrete mathematics (equivalent to 620-352  Graph Theory or 620-353  Discrete Mathematics).|
|Non Allowed Subjects:||None.|
|Core Participation Requirements:||It is University policy to take all reasonable steps to minimise the impact of disability upon academic study and reasonable steps will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact upon their participation are encouraged to discuss this with the subject coordinator and the Disability Liaison Unit.|
CoordinatorDr Richard Brak, Prof Peter John Forrester
|Subject Overview:||The subject consists of four main topics. These are combinatorial logic by way of Sperner’s lemma and Ramsey theory; combinatorics on words and Sturmian sequences; bijective enumeration with applications to maps lattice paths and trees; integer partitions and tableaux. This subject has relevance to a broad range of specialisations.|
|Assessment:||Up to 50 pages of written assignments (45%: three assignments worth 15% each, due early, mid and late in semester), a 3 hour written examination (55%, in the examination period).|
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
|Generic Skills:||Upon completion of this subject, students should develop: |
- Problem solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
- Analytic skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
- Collaborative skills: the ability to work in a team;
- Time management skills: the ability to meet regular deadlines while balancing competing commitments.
R05 RM Master of Science - Mathematics and Statistics |
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