Lecturer
Dr Sanming Zhou
Room 146, Richard Berry Building
Phone: 8344 3453
E-mail: smzhou@ms.unimelb.edu.au
Web site: Sanming's Home Page
Tutors
Dr Mark Fackrell
Room G47, Richard Berry Building
Tel: 8344 5546, E-mail: M.Fackrell@ms.unimelb.edu.au
Dr Sanming Zhou
Room 146, Richard Berry Building
Tel: 8344 3453, E-mail: smzhou@ms.unimelb.edu.au
Time and Venue
In each teaching week of
the second semester there are three one-hour lectures:
Monday 4.15-5.15pm
Wednesday 4.15
-5.15pm
Friday 4.15-5.15pm
All lectures
are in Russell Love Theatre (formerly Theatre B), Richard Berry
Building
Also each student should attend one
one-hour tutorial class per week commencing in the second week.
These will be run by David Bannister and Chris Fricke. You should have been allocated to one
of the following four tutorial times.
Wednesday 2.15-3.15pm (Room D, Richard Berry Bld)
Wednesday 3.15-4.15pm (Room D, Richard Berry Bld)
Friday 2.15-3.15pm (Room D, Richard Berry Bld)
In case you are wondering where these lecture theatres are,
check out the Lecture
Theatre Location List.
Consultation Hours
Lecturer
12.00-2.00 pm, Monday, Room 146
1.00-2.00 pm, Friday, Room 146
or by appointment
Student Representative
TBA
E-mail: TBA
It will be greatly appreciated
if you could communicate to us your comments on these pages as well as
any other aspect of the subject. Needless to say, constructive critical
suggestions are particularly welcome. You can communicate these either
by talking directly to me or e-mailing me: smzhou@ms.unimelb.edu.au. Alternatively,
you may wish to submit your suggestions via the Student Representative.
Useful Links
Links to solvers
LINDO - download free trial versions of
LINDO solver for linear and integer programming or LINGO for nonlinear
programming.
AMPL - follow "Try
AMPL" links or go direct to AMPL start-up
page . If you want to enter your problem on-line instead of uploading a
file you have already prepared, just hit the "Submit" button half-way
down this page.
tutOR - follow
links to Simplex solvers, or go direct to the Simplex
Place and select "Simplex Engine" in the left-hand frame.
OPL is another
ILOG produce, like AMPL plus but with a Constraint Programming solver included.
Links to interesting places
Jobs and careers page from the
Australian Mathematical Society.
Have a look at some ideas on team management and team roles at the Belbin site.
A great web site, with interactive case studies in linear programming,
quadratic programming, stochastic programming and integer programming is the NEOS Guide: Case Studies
site. (Note you may find the material here on the Quadratic Assignment
Problem relevant to your project!) The parent site Optimization Technology Center also has
lots of interesting stuff, with background notes and references on many areas
of operations research (see, in particular, the "Optimization Tree"
link).
ASOR has a monthly
seminar series, with slides and summaries of past lectures available at this
website. Students are WELCOME to attend seminars, and also to join ASOR.
Price-Waterhouse-Coopers Decision
Advisory Centre is using Operations Research to help companies in various
ways. There is an on-line case study for a production-distribution "value
chain", or "supply chain".
Opcom Pty Ltd is a fantastic
Australian company exporting operations research consulting, algorithms and
software to the world. Based in Brisbane and employing about 50 people, the
company specializes in logistics and transportation applications.
Berkeley has an interactive
OR site.
CSIRO Operations Research Group has lots of
interesting stuff happening - they also have vacation scholarships on occassion.
INFORMS - the International Society for Operations Research
and Management Sciences - see student services!
Panorama
- recreational OR - have fun!
© The University of Melbourne 1994-2007
Disclaimer and Copyright Information
Created: June 17, 2004
Last modified: July 21, 2007
Authorised by: Head of Department, Department of Mathematics and Statistics
Maintained by: Sanming Zhou, Department of Mathematics and Statistics
Email: smzhou@ms.unimelb.edu.au