BEGIN:VCALENDAR
PRODID:-//eluceo/ical//2.0/EN
VERSION:2.0
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:b3195cf90798f36bb3cf41af56312f29
DTSTAMP:20260626T190424Z
SUMMARY:Optimisation Accelerator: Improving Decisions through Optimisation
DESCRIPTION:Optimisation is the workhorse behind modern machine learning an
 d AI. From training neural networks and tuning hyperparameters to resource
  allocation and decision-making systems\, optimisation algorithms are at t
 he core of how intelligent systems learn and improve. This course highligh
 ts the central role optimisation plays across engineering\, data science
 \, and machine learning\, giving participants both the theoretical foundat
 ions and practical tools needed to apply optimisation methods in real-worl
 d applications. \n This Optimisation Accelerator is an intensive\, hand
 s-on course taught by leading optimisation experts from Imperial College L
 ondon and University College London. The programme is designed for industr
 y practitioners seeking practical optimisation skills with immediate real-
 world relevance\, PhD students and postdoctoral researchers. Participants 
 who successfully complete the course will receive a certificate of complet
 ion. \nNo prior knowledge of optimisation is required. \nThe course pro
 vides a comprehensive introduction to the formulation and solution of opti
 misation problems\, covering: \n\nLinear Programming (LP)  \nNonlinear 
 Programming (NLP)  \nMixed-Integer Programming (MIP)  \nGlobal Optimis
 ation (GO)  \nOptimisation under Uncertainty  \nMulti-Objective Optimi
 sation \nBayesian Optimisation  \nNeural Network Training and optimisat
 ion methods in machine learning  \n\nParticipants will learn how to tran
 slate real-world engineering and data-driven challenges into optimisation 
 models and solve them using modern software tools through guided hands-on 
 sessions. \nWhile the course primarily focuses on local optimisation meth
 ods\, it also introduces advanced topics such as global optimisation\, unc
 ertainty-aware optimisation\, and emerging optimisation techniques used in
  machine learning and AI workflows. \nWhat You’ll Learn \nBy the end
  of the course\, participants will be able to: \n\nUnderstand the foundat
 ions of optimisation modelling  \nFormulate optimisation problems from p
 ractical applications  \nDistinguish between linear\, nonlinear\, intege
 r\, and global optimisation approaches  \nApply optimisation techniques 
 using modern software tools  \nUnderstand optimisation under uncertainty
  and multi-objective trade-offs  \nExplore Bayesian optimisation and opt
 imisation methods for neural network training  \nGain practical experien
 ce through hands-on workshops and real examples  \nBring and discuss the
 ir own optimisation problems with instructors and peers  \n\n \nRegistr
 ation Fee:\n\n\n\n\nIndustry rate\n £ 1700\n\n\nStart up/SME rate\n £ 
 975\n\n\nAcademic rate\n£   585\n\n\n\n\n \nCancellations\nWritten can
 cellations received by 17 August 2026 are eligible for a partial refund (8
 0%). No refunds will be given after 17 August 2026.\nSubstitutions may be 
 made at any time\, whilst a valid place is held. The organiser cannot acce
 pt liability for costs incurred in the event of a course having to be canc
 elled as a result of circumstances beyond its reasonable control.
URL:https://www.imperial.ac.uk/events/211125/optimisation-accelerator-impro
 ving-decisions-through-optimisation-2/
DTSTART;TZID=Europe/London:20260907T090000
DTEND;TZID=Europe/London:20260910T170000
LOCATION:RODH617\, Roderic Hill Building\, South Kensington Campus\, Imperi
 al College London\, London\, SW7 2AZ\, United Kingdom
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
DTSTART:20260907T090000
TZNAME:BST
TZOFFSETTO:+0100
TZOFFSETFROM:+0100
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR