Note: This is an archived Handbook entry from 2012.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2012:Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 hours comprising 3 one-hour lectures 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 one of the following |
Study Period Commencement:
|Non Allowed Subjects:||None.|
|Core Participation Requirements:||
For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements for this entry.
The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/
CoordinatorProf Peter Forrester
The subject consists of four main topics. These are combinatorial logic by way of tilings and Sperner's lemma; combinatorics on words and Sturmian sequences; bijective enumeration with applications to maps, permutations, lattice paths and trees; integer partitions, symmetric functions and tableaux.
After completing the subject students will gain:
|Assessment:||Up to 50 pages of written assignments (48%: four assignments worth 12% each, due during the semester), a 3-hour written examination (52%, in the examination period).|
|Prescribed Texts:|| |
|Recommended Texts:|| |
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:
Master of Science (Mathematics and Statistics) |
Mathematics and Statistics |
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