INTRODUCTION TO AGENT BASED MODELLING · 2019-10-14 · introduction to Zoom video conferencing...

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© DHI 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 participantshome 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. WHATS INCLUDED Training Certificate 30 daysInternet 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 DHIs video tutorials on Zoom here Installation of ABM Lab A quality webcam and headset with microphone LANGUAGE Lectures and training material are in English

Transcript of INTRODUCTION TO AGENT BASED MODELLING · 2019-10-14 · introduction to Zoom video conferencing...

© D

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

[email protected]

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 [email protected]

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.