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Agent Technology Practical
| Faculteit | Science and Engineering |
| Jaar | 2021/22 |
| Vakcode | WBAI046-05 |
| Vaknaam | Agent Technology Practical |
| Niveau(s) | bachelor |
| Voertaal | Engels |
| Periode | semester II a |
| ECTS | 5 |
| Rooster | rooster.rug.nl |
| Uitgebreide vaknaam | Agent Technology Practical | ||||||||||||
| Leerdoelen | At the end of the course, the student is able to: 1) construct an agent-based model to investigate real-life phenomena 2) reflect critically on the validity of conclusions drawn from agent-based models 3) modify existing agent-based models 4) defend design choices made in the construction of an agent-based model |
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| Omschrijving | This course provides an applied introduction to the field of agent-based modeling (ABM). By analysing, extending, and designing agent-based models, you will obtain a deep understanding of the practical uses of ABM and the skills to construct an agent-based model from scratch. In the final group project, you will make use of ABM to investigate a subject of choice. The lectures present advantages and disadvantages of ABM techniques, practical implementations of these techniques, and critical reflection on their outcomes. The structure, progression, and outcomes of these ABMs are presented using NetLogo. |
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| Uren per week | |||||||||||||
| Onderwijsvorm | Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC) | ||||||||||||
| Toetsvorm |
Opdracht (AST), Presentatie (P), Verslag (R)
(The grade on the project (PR) must be at least a 5 to pass this course. If PR >= 5, the final grade is calculated as 0.1 ASM1 + 0.1 ASM2 + 0.1 ASM3 + 0.7 CE where ASMn is the nth homework assignment.) |
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| Vaksoort | bachelor | ||||||||||||
| Coördinator | dr. H.A. de Weerd | ||||||||||||
| Docent(en) | dr. H.A. de Weerd | ||||||||||||
| Verplichte literatuur |
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| Entreevoorwaarden | Mandatory: Knowledge- and Agent Technology (WBAI006-05). Advised: Familiarity with programming and logic is strongly advised. If the mandatory requirements are not met, only the Board of Examiners of the AI BSc may grant an exemption. Exchange students are assumed to have gone through this through their Learning Agreement; pre-master's students through the Board of Admissions - other external students are judged case-by-case. |
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| Opmerkingen | Artificial Intelligence (BSc) is a Fixed Quota (Numerus Fixus) programme. As a consequence, their courses (course code WBAI) are closed for students that are not registered under the AI BSc programme, unless the course is part of the mandatory curriculum of their programme. If you wish to take this course in your minor – or as part of a so-called ‘unofficial’ pre-master’s – please use the official procedure through the Board of Examiners form. | ||||||||||||
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