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studenti:summer-schools:2016:hydroinformatics [2016/06/09 16:03] catalin.leordeanu creat |
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- | As a part of Data4Water EU Twining project, a series of summer schools will be organised. The first | + | |
- | Summer school is organised by from UNESCO-IHE Institute for Water Education and University | + | |
- | Politehnica of Bucharest. | + | |
- | The summer school topic is Hydroinformatics approaches for river basin related problems and takes | + | |
- | place from 21st June to the 8th July, 2016. Detailed description of the content, logistics and venue of | + | |
- | the school is given bellow. | + | |
- | Applications for the summer schools are welcomed, no later than 8-th of June, 2016. | + | |
- | We look forward to seeing you in Bucharest soon. | + | |
- | Objective: | + | |
- | The three-week program is designed to teach participants the necessary background on | + | |
- | hydroinformatics tools for solving problems related to water environment in river basins, and give | + | |
- | them an opportunity to work directly with the tools. At the end of the 3 weeks programmes | + | |
- | participants will be able to solve their own problems using these tools. | + | |
- | Description: | + | |
- | The three-weeks summer school schedule is: | + | |
- | 1. Training courses – 3 days [21th to 23th June]. | + | |
- | 2. Summer school assignment tasks for participants – 1 day [24th June] | + | |
- | 3. Problem solving sessions guided by experts – 12 days [25th June to 6th July] | + | |
- | 4. Session for presenting the final results - 2 days [7th July to 8th July] | + | |
- | 5. Evaluation of the summer school achievements | + | |
- | The detailed syllabus of the training courses covers three main aspects of hydroinformatics, | + | |
- | follows: | + | |
- | 1. Introduction and Modelling | + | |
- | 1.1 Introduction to Hydroinformatics | + | |
- | 1.2. Modelling paradigms: Physically based modelling, Data driven modelling | + | |
- | 1.3. Examples/ | + | |
- | 2. Optimization and Decision Support | + | |
- | 2.1. Optimization | + | |
- | 2.2. Decision support methods: Multicriteria analysis, decision support systems | + | |
- | 2.3. Examples/ Case studies | + | |
- | 3. Data | + | |
- | 3.1. Data sources and standards | + | |
- | 3.2 Spatial Data Infrastructures | + | |
- | 3.2. Role of cloud computing and parallel computing in Hydroinformatics | + | |
- | Content from all above three aspects will be addressed during the summer school. | + | |
- | The courses are intended for a multidisciplinary audience. | + | |
- | | + | |
- | Problem solving session is focused on building a code for a hydrological model and preparing it to | + | |
- | be calibrated and validated with data. In order to determine the uncertainty bounds for some of the | + | |
- | parameters the model will need to be run on the cloud (hundreds of instances), on Amazon or other | + | |
- | freely available cloud. Next step will be fetching the results and building an interface that will | + | |
- | present the results, after they have been analysed. | + | |
- | Application procedure: | + | |
- | To apply for a place please send a short CV (including research interests) to elena.apostol@cs.pub.ro | + | |
- | or catalin.leordeanu@cs.pub.ro. | + | |
- | The Summer School is targeted at PhD/ | + | |
- | There is no participation fee. | + | |
- | Important dates: | + | |
- | The closing date for applications is: 8th June 2016 | + | |
- | The final list of participants will be announced on 15th June 2016 | + | |
- | Please direct all enquiries to elena.apostol@cs.pub.ro or catalin.leordeanu@cs.pub.ro. | + | |
- | Organisers: | + | |
- | UNESCO-IHE: A. Jonoski and I. Popescu | + | |
- | UPB: prof. M. Mocanu, E. Apostol, C. Leordean | + |