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Last modified by Judith Steinfeld on 2025/06/03 11:13
From version 45.1
edited by Judith Steinfeld
on 2024/07/30 11:31
Change comment: There is no comment for this version
To version 60.1
edited by Judith Steinfeld
on 2024/11/14 16:30
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -1,144 +1,56 @@
1 -== **Learning and Teaching Materials for ErUM-Data-Scientist** ==
1 +{{box cssClass="floatinginfobox" image="https://wiki.test.erumdatahub.de/bin/download/DIG-UM/WebHome/Logo%20DIG-UM.png?width=50" title="== Big Data Analytics ==
2 2  
3 -{{info}}
4 -Are you an ErUM-Data-Scientist who wants to expand your digital skills or do you want to support (young/prospective) ErUM-Scientists in pursuing digital transformation?
3 + "}}
4 +**{{icon name="envelope"/}}[[Mailinglist  >>https://lists.rwth-aachen.de/postorius/lists/erum-data-big-data-analytics.lists.rwth-aachen.de]]**
5 5  
6 -With our material collection we want to provide an overview of existing materials and contacts by outlining where to find what.
6 +**{{icon name="calendar"}}{{/icon}}[[Events >>https://indico.desy.de/category/1039/]]**
7 7  
8 -The collection of existing materials is complemented by our own materials which include for example videos and slides from various workshops and schools organized by the ErUM-Data-Hub in collaboration with DIG-UM with which we reached over 800 participants so far.
9 -{{/info}}
8 +**Representative: **Dr. Jan Steinheimer
10 10  
11 -Hint Copyright: Please not that the materials are from
10 +**Deputy: **Prof. Dr. Thomas Kuhr
12 12  
13 -{{success width="20%"}}
14 -{{displayIcon name="magnifier"/}}Filter Suchfunktion: Semantische Suche und vordefinierte Suchfilter zur Eingrenzung von Suchergebnissen
15 -{{/success}}
12 +{{displayIcon name="world"/}}
13 +{{/box}}
16 16  
15 +== **Learning and Teaching Materials for ErUM-Data-Scientists** ==
17 17  
18 -Tabelle
17 +{{info width="70%"}}
18 +Are you an ErUM-Data-Scientist who wants to expand your digital skills or do you want to support (young/prospective) ErUM-Scientists in pursuing digital transformation?
19 19  
20 -Title - topic (tags) - date - type (PDF, video, link to website) - kind (ttt, school, workshop...) - (author)
20 +With our material collection we want to provide an overview of existing materials and contacts by outlining where to find what.
21 21  
22 +The collection of existing materials thrives on being filled and is complemented by our own materials which include for example videos and slides from various workshops and schools organized by the ErUM-Data-Hub in collaboration with DIG-UM with which we reached over 800 participants so far.
22 22  
23 23  
24 -{{documents count="25"/}}
25 +If you want to be subscribed or unsubscribed from this list please contact [[judith.steinfeld@erumdatahub.de>>mailto:judith.steinfeld@erumdatahub.de]]
26 +{{/info}}
25 25  
28 +{{success width="70%"}}
29 +Our collection of materials covers many different topics. You can click on one or more tags to filter the list or search for titles and authors.
30 +{{/success}}
26 26  
27 -Table: [[https:~~/~~/extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Macro  >>https://extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Macro]][[https:~~/~~/extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Exporter%20Macro/>>https://extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Exporter%20Macro/]]
28 -
29 -
30 -
31 -
32 -|=title|=topic (tags)|=level|=date|=type|=format|=author
33 -|(((
34 -[[Introduction to Articifial Networks - Pt.1>>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]]
35 -)))|neural network building blocks, deep learning, artificial networks|basic|02/2024|(((
36 -PDF
37 -
38 -{{displayIcon name="page_white_acrobat"/}}
39 -)))|lecture|(((
40 -Dr. Andrea Santamaria Garcia,
41 -
42 -Chenran Xu
43 -)))
44 -|[[Introduction to Articifial Networks - Pt. 2 >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118960/nns-part2.pdf]]|neural network building blocks, deep learning, artificial networks|basic|02/2024|(((
45 -PDF
46 -
47 -{{displayIcon name="page_white_acrobat"/}}
48 -
49 -
50 -)))|lecture, libraries|(((
51 -Dr. Andrea Santamaria Garcia,
52 -
53 -Chenran Xu
54 -)))
55 -|[[Tutorials - Introduction to Artificial Networks>>https://github.com/dkgithub/wiehl24]]|neural network building blocks, deep learning, artificial networks|basic|02/2024|(((
56 -Link
57 -
58 -{{displayIcon name="application_view_list"/}}
59 -
60 -
61 -)))|tutorial|(((
62 -Dr. Andrea Santamaria Garcia,
63 -
64 -Chenran Xu
65 -)))
66 -|[[Neural Network Building Blocks (1/2) >>https://indico.desy.de/event/37303/sessions/14381/attachments/80383/105122/DL%20School%20-%20Lecture%201,%20Part%201.pdf]]|neural network building blocks, deep learning|basic|02/2023|(((
67 -PDF
68 -
69 -{{displayIcon name="page_white_acrobat"/}}
70 -)))|lecture|Sebastian Wozniewski
71 -|[[Neural Network Building Blocks (2/2)>>https://indico.desy.de/event/37303/sessions/14381/attachments/80383/105131/DL%20School%20-%20Lecture%201,%20Part%202.pdf]]|neural network building blocks, deep learning|basic|02/2023|(((
72 -PDF
73 -
74 -{{displayIcon name="page_white_acrobat"/}}
75 -)))|lecture|Sebastian Wozniewski
76 -|[[Mastering Model Building: Methods and tools (a crash course)>>https://indico.desy.de/event/40559/contributions/149592/attachments/88698/118990/blocks2.pdf]]|mastering model building|basic|02/2024|(((
77 -PDF
78 -
79 -{{displayIcon name="page_white_acrobat"/}}
80 -)))|lecture|
81 -|[[Tutorials - Mastering Model Building>>https://github.com/dkgithub/wiehl24]]|mastering model building|basic|02/2024|(((
82 -PDF
83 -
84 -{{displayIcon name="page_white_acrobat"/}}
85 -)))|tutorial|Dirk Krücker
86 -| | | | | | |
87 -| | | | | | |
88 -
89 -
90 -{{liveData showPageSizeDropdown="false"}}{{/liveData}}
91 -
92 -
93 -=== Basic Concepts ===
94 -
95 -----
96 -
97 -=== **Neural Network Building Blocks** ===
98 -
99 -* [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
100 -* [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
101 -** [[Tutorial>>https://github.com/machine-learning-tutorial/neural-networks/tree/main]] {{displayIcon name="application_view_list"/}}
102 -* [[Neural Network Building Blocks (1/2)>>https://indico.desy.de/event/37303/sessions/14381/attachments/80383/105122/DL%20School%20-%20Lecture%201,%20Part%201.pdf]] {{displayIcon name="page_white_acrobat"/}}
103 -* (((
104 -[[Neural Network Building Blocks (2/2)>>https://indico.desy.de/event/37303/sessions/14381/attachments/80383/105131/DL%20School%20-%20Lecture%201,%20Part%202.pdf]] {{displayIcon name="page_white_acrobat"/}}
105 -)))
106 -
107 -=== ===
108 -
109 -=== **Mastering Model Building** ===
110 -
111 -* [[Mastering Model Builing: Methods and tools (a crash course)>>https://indico.desy.de/event/40559/contributions/149592/attachments/88698/118990/blocks2.pdf]] {{displayIcon name="page_white_acrobat"/}}
112 -** [[Tutorials>>https://github.com/dkgithub/wiehl24]] {{displayIcon name="application_view_list"/}}
113 -* [[Mastering Model Building >>https://indico.desy.de/event/37303/sessions/14382/attachments/80384/105130/230228_mastering_model_building.pdf]]
114 -** [[Hands-On 1: Tenserflow-Playground>>http://playground.tensorflow.org/#activation=tanh&regularization=L2&batchSize=10&dataset=gauss&regDataset=reg-plane&learningRate=0.03&regularizationRate=0&noise=25&networkShape=8,8,8,8,8,8&seed=0.88798&showTestData=false&discretize=false&percTrainData=20&x=true&y=true&xTimesY=true&xSquared=true&ySquared=true&cosX=false&sinX=true&cosY=false&sinY=true&collectStats=false&problem=classification&initZero=false&hideText=false]] {{displayIcon name="application_view_list"/}}
115 -** [[Hands-On 2: Mass-Regression>>https://colab.research.google.com/drive/1UdiLP-MLTLlB8t4zE2qMwibt3BRbFawd?usp=sharing]] {{displayIcon name="application_view_list"/}}
116 -** [[Hands-On 3: Jet-flavour Classification>>https://colab.research.google.com/drive/13O8wxap5oxp1ovUTBjNc__tOwE7PojyC?usp=sharing]] {{displayIcon name="application_view_list"/}}
117 -
118 -=== ===
119 -
120 -=== **Convolutional Neural Networks** ===
121 -
122 -* [[Convolutional Neural Networks>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119021/CNN_SKaes.pdf]] {{displayIcon name="page_white_acrobat"/}}
123 -** [[Exercises>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119040/Wiehl_Exercises_CNN.pdf]] {{displayIcon name="page_white_acrobat"/}}
124 -** [[Exercises Solution>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119131/Wiehl_Exercises_CNN_Solution.pdf]] {{displayIcon name="page_white_acrobat"/}}
125 -
126 -----
127 -
128 -=== ===
129 -
130 -=== Adcanced Concepts ===
131 -
132 -----
133 -
134 -=== **Autoencoder** ===
135 -
136 -* test
137 -
138 -=== **Transformers **(ausklappbar) ===
139 -
140 -* test
141 -
142 -=== **Normalizing Flows (ausklappbar)** ===
143 -
144 -* test
32 +{{velocity}}
33 +#set ($columnsProperties = {
34 + 'doc.location': {"displayName": "Title", "html": true},
35 + 'link': {"type": "hidden"},
36 + 'date': {"html": true},
37 + 'author': {},
38 + "tags": {"sortable": false, "filterable": false, "html": true, "headerClass": "tagsCol"},
39 + "_actions": {"actions": ["view", "edit"]}
40 +})
41 +#set ($options = {
42 + 'className': 'Materials.Code.MaterialsClass',
43 + 'translationPrefix': 'materials.livetable.',
44 + 'tagCloud': true,
45 + 'rowCount': 25,
46 + 'maxPages': 10,
47 + "extraParams" : "tags_className=XWiki.TagClass",
48 + 'selectedColumn': 'date',
49 + 'defaultOrder': 'desc'
50 +})
51 +#set ($columns = ['doc.location', 'link', "tags", "tags", 'date', 'author'])
52 +#if (!$isGuest)
53 + #set($discard = $columns.add("_actions"))
54 +#end
55 +#livetable('materials' $columns $columnsProperties $options)
56 +{{/velocity}}
XWiki.JavaScriptExtension[0]
Caching policy
... ... @@ -1,0 +1,1 @@
1 +default
Code
... ... @@ -1,0 +1,96 @@
1 +const tabName = "materials";
2 +const tagCols = [
3 + ["Type", "lecture", "exercise", "hands-on", "solution", "tutorial", "talk", "course", "video", "paper"],
4 + ["Tags", true],
5 +]
6 +
7 +document.observe('xwiki:livetable:loading', () => {
8 + const mats = document.getElementById(tabName);
9 +
10 + // coulmn data sources
11 + const conf = JSON.parse(mats.dataset.settings);
12 + tagCols.forEach(([name], i) => {
13 + const cn = `tags-${i}`;
14 + conf.columns.splice(conf.columns.indexOf("tags"), 1, cn);
15 + conf.columnDescriptors[cn] = {
16 + displayName: name,
17 + headerClass: "tagsCol",
18 + html: true,
19 + sortable: false,
20 + };
21 + });
22 + mats.dataset.settings = JSON.stringify(conf);
23 +
24 + // column headers
25 + mats.querySelectorAll(".xwiki-livetable-display-header .tagsCol").forEach(
26 + (v, i) => v.textContent = tagCols[i][0]
27 + );
28 +
29 + // handle clicks for tags
30 + document.getElementById(`${tabName}-display`).addEventListener("click", ev => {
31 + if (ev.button) return; // only left click
32 + if (ev.target.nodeName !== "SPAN") return;
33 + if (!ev.target.classList.contains("ltTag")) return;
34 + const tag = ev.target.textContent;
35 + ev.preventDefault();
36 + const lt = mats.__liveTable;
37 + const st = lt.tagCloud.selectedTags;
38 + if (tag in st) delete st[tag];
39 + else st[tag] = {};
40 + lt.tags = Object.keys(st);
41 + lt.clearCache();
42 + lt.showRows(1, lt.limit);
43 + })
44 +});
45 +
46 +document.observe(`xwiki:livetable:${tabName}:receivedEntries`, ({memo: {data}}) => {
47 + for (const row of data.rows) {
48 + const ol = new DOMParser().parseFromString(row.doc_location, "text/xml").documentElement;
49 + const li = ol.children;
50 +
51 + li[0].remove(); // remove "Event"
52 + for (let i = 1; i < li.length - 1; i++) // intermediate
53 + li[i].textContent = li[i].textContent; // remove link
54 +
55 + const a = li[li.length - 1].children[0];
56 + const b = a.ownerDocument.createElement("b");
57 + a.replaceWith(b);
58 + b.appendChild(a);
59 + a.textContent = row.doc_title;
60 +
61 + const u = new URL(row.link_value);
62 + let icon;
63 + if (u.hostname.includes("github")) icon = "github";
64 + if (u.hostname.includes("github.io")) icon = "book";
65 + if (u.hostname.includes("gitlab")) icon = "gitlab";
66 + if (u.hostname.includes("google")) icon = "google";
67 + if (u.hostname.includes("colab")) icon = "code";
68 + if (u.hostname.includes("youtube")) icon = "youtube-play";
69 + if (u.pathname.endsWith(".pdf")) icon = "file-pdf-o";
70 + if (u.pathname.endsWith(".pptx")) icon = "file-powerpoint-o";
71 + if (icon) {
72 + const s = a.ownerDocument.createElement("span");
73 + s.appendChild(a.ownerDocument.createElement("wbr"));
74 + s.setAttribute("class", `fa fa-${icon}`);
75 + s.setAttribute("style", "padding-right: .3em;");
76 + a.insertBefore(s, a.firstChild);
77 + }
78 + a.setAttribute("class", "wikiexternallink");
79 + a.setAttribute("href", u.href);
80 +
81 + row.doc_location = ol.outerHTML;
82 +
83 + // tags
84 + const tags = new Set(row.tags_value.slice(1, -1).split(", "));
85 + tagCols.forEach(([name, ...want], i) =>
86 + row[`tags-${i}`] = (
87 + want[0] === true
88 + ? Array.from(tags)
89 + : want.filter(tag => tags.delete(tag))
90 + ).sort().map(tag => `<span class="ltTag" style="cursor:pointer;white-space:nowrap;">${tag}</span>`).join(", ")
91 + );
92 + }
93 +});
94 +
95 +
96 +
Name
... ... @@ -1,0 +1,1 @@
1 +Live Table - Materials
Parse content
... ... @@ -1,0 +1,1 @@
1 +No
Use this extension
... ... @@ -1,0 +1,1 @@
1 +currentPage