2018 Optimisation Summer School

Data61 6th International Optimisation Summer School
Kioloa, NSW, Australia,
January 14th to 19th 2018
http://tinyurl.com/optschool

Spend a week by the beach learning about the latest optimisation technologies.  How can you help a business reduce its costs? Or reduce their carbon footprint? Or do both? The school is sponsored by the Decision Sciences Group at Data61
http://www.data61.csiro.au/Our-expertise/Expertise-Decision-sciences

The school will focus on solving large scale combinatorial optimisation
problems in practice. The school is intended for undergraduate students
(3rd year or later), masters or early stage PhD students. Every
undergraduate participant will be assigned an individual mentor.

Topics covered include: introduction to constraint programming, modelling, integer programming, column generation, vehicle routing,
scheduling, evolutionary methods and research skills.

Lecturers include: Phil Kilby, Peter Stuckey, Guido Tack, Menkes van den Briel and Toby Walsh.

Please encourage your PhD, Masters and late stage undergraduates to attend.

Registration:
The registration page is open now and applicants will be considered in order of application so please apply as soon as possible. The school costs $685.  Undergraduates and postgraduates will qualify for a grant to reduce this to just $340. Data61 students can attend at no cost for themselves. The fee covers 5 nights accommodation, all food and drink, and the coach transfer from Sydney.

Deadline: Apply immediately to ensure a place. Applications processed in order of receipt.

Organizer: Prof. Toby Walsh, UNSW and Data61.

Local information
The School will again be held at ANU’s beautiful seaside campus at Kioloa,
near Bawley Point on the south coast of New South Wales.
http://en.wikipedia.org/wiki/Kioloa,_New_South_Wales

 

NZ connections in latest edition of Optima

Congratulations to Mike O’Sullivan, Andrew Mason, Iain Dunning and Stu Mitchell (University of Auckland, Department of Engineering Science faculty and alumni) who all feature in the latest edition of Optima, the newsletter of the Mathematical Optimization Society.

The newsletter is available here: http://www.mathopt.org/Optima-Issues/optima103.pdf