Post on 24-May-2020
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HI
The aim of this instructor-facilitated, online course is to provide you with the skills to perform agent-based modelling using the ABM Lab framework in conjunction with a wider suite of MIKE Powered by DHI software.
Upon completion of the course, you will have learned the fundamentals of agent-based modelling, typical applications and how to setup and run ABM Lab models (beginner level). You will also be equipped to use ABM Lab in combination with MIKE 21/3 FM.
Please plan to spend a minimum of two hours per week/session on homework assignments.
COURSE METHODOLOGY AND REQUIREMENTS
During these online sessions, a live trainer will facilitate dialogue and discussions. The
course will effectively combine theory and practice, including hands-on exercises,
lectures, group work, videos and home assignments. Throughout the course, you will
have ample time to discuss tips & tricks, best practices and examples.
A part of the online sessions is allocated to group work, which is based on the
participants’ home assignments. In order for the group work to be successful and to
ensure you fully understand the software, it is mandatory that you allocate a minimum of
two hours of self-study each week. Part of the homework will include solving practice
assignments that should be submitted to the trainer prior to each session according to
the defined deadline.
For some sessions, additional course material will be included so you have the
opportunity to invest an extra 1-2 hours of self-study per session to master the software.
The online sessions are hosted via Zoom, a video conference software that can be
easily downloaded. Participants will have access to the MIKE 21/3 FM Hydrodynamic
modelling system as well as ABM Lab throughout the course.
COURSE SESSIONS AND TOPICS
Session 0 - Overview of course structure and methodology (Wednesday, 30
October)
Topics: Course materials and learning methodology, homework requirements, deadlines,
introduction to Zoom video conferencing software
Session 1 - Fundamentals of agent-based modelling (Wednesday, 06 November)
Topics: Population modelling, agent-based modelling, simple model setup and
execution, scenarios
Session 2 - Adding complexity (Wednesday, 13 November)
Topics: Pattern oriented modelling, model selection, forcings, model calibration,
sensitivity.
TARGET GROUP AND PREREQUISITES
Professionals and researchers in the fields of population modelling, ecosystem
modelling and/or behavioural ecology. Participants must have a basic knowledge of
modelling.
COURSE DESCRIPTION
INTRODUCTION TO AGENT BASED MODELLING Using ABM Lab
DATE AND TIME This online course is divided into three 2-hour sessions including a break. All sessions are held on Wednesdays and you have a choice between two time slots: 05:00-07:00 UTC and 15:00-17:00 UTC. Session 0 (30 October) - Course overview, homework deadlines and how to use Zoom Sessions 1 (06 November) - Fundamentals of using ABM Lab for agent-based modelling Session 2 (13 November) - Adding complexity Calculate your local time using the UTC Time Zone Converter here. FEE Standard price: € 425 (excl. VAT) Book-An-Expert (Optional & additional): You may wish to book your own personal expert to discuss your own project and data. This option is not included in the standard course fee. Please contact course coordinator for conditions for booking your own expert. WHAT’S INCLUDED • Training Certificate • 30 days’ Internet evaluation license for all
MIKE 3 and ABM Lab modules • 10% discount on purchase of ABM Lab
module by 15 December 2019 IT REQUIREMENTS • Installation of Zoom desktop client
(to be provided by the course coordinator in advance)
• You can learn more about Zoom here or watch DHI’s video tutorials on Zoom here
• Installation of ABM Lab • A quality webcam and headset with
microphone LANGUAGE Lectures and training material are in English
THE ACADEMY BY DHI
THE ACADEMY offers a palette of courses and capacity building packages designed to fit your
needs and challenges. We offer standard and/or tailored training - face-2-face as well as online.
MIKE Powered by DHI courses focus on practical skills, hands-on exercises and teaching you
how to get the most out of your software. These courses also enable you to understand the
power of the MIKE tools for building decision support systems.
Thematic courses allow you to apply concepts, applications and decision support principles to
the entire business process within current areas: aquaculture and agriculture, energy, climate
change, flooding, coast and marine, surface and groundwater, urban water, industry,
environment and ecosystems, product safety and environmental risk, etc.
Our trainers are experienced professionals, many of whom are recognised international
experts in their fields. The use of highly skilled trainers guarantees the quality of THE
ACADEMY courses.
Learn more about THE ACADEMY on www.theacademybydhi.com
DHI A/S
Agern Allé 5
DK-2970 Hørsholm
Denmark
+45 4516 9200 Telephone
+45 4516 9292 Telefax
dhi@dhigroup.com
www.dhigroup.com
REGISTRATION
Registration is on a first-come-first-served basis and closes Wednesday 23 October 2019, 14:00 UTC. Your registration is final and your seat guaranteed upon receipt that payment has been done. Click here to register
The maximum number of participants is 12 to ensure the highest degree of quality learning and skills development for each trainee. DHI reserves the right to reschedule the course up to one week prior to the commencement of the course.
CONTACT
Natalia Luchko Learning Coordinator THE ACADEMY nalu@dhigroup.com
Want an overview of ABM Lab
before you start the course?
Join our free webinar
2 October,
06:00-07:00 UTC and 15:00-16:00 UTC
Register here
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TRAINER
LARS O. MORTENSEN
Lars has a research background in ecosystem ecology including multiple ecosystem types, ranging from high arctic to subtropical zones. He also has extensive knowledge in statistical modelling. His current focus is on the application of agent-based models and species distribution models to impact of anthropogenic noise on marine life.
MSc, PhD, Ecosystem Ecology, Roskilde University and Aarhus University, Denmark.