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teaching:visanalytics [2019/09/23 16:04]
meuschke [Organizational Issues]
teaching:visanalytics [2020/05/26 08:47] (current)
meuschke [(Expected ) course of events:]
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 The interdisciplinary character of the development and use of Visual Analytics approaches is emphasized. This also includes questions of visual perception and cognitive processing of visual data and their role in decision-making processes. Special attention is given to the knowledge generation process, the process by which observations, hypotheses, statistical results and other artifacts are generated and managed. The application examples range from financial data (stock prices), data of credit card movements, gene expression data to epidemiological data and patient data. Target groups of such applications are investors, security departments, biologists, statisticians and physicians. The interdisciplinary character of the development and use of Visual Analytics approaches is emphasized. This also includes questions of visual perception and cognitive processing of visual data and their role in decision-making processes. Special attention is given to the knowledge generation process, the process by which observations, hypotheses, statistical results and other artifacts are generated and managed. The application examples range from financial data (stock prices), data of credit card movements, gene expression data to epidemiological data and patient data. Target groups of such applications are investors, security departments, biologists, statisticians and physicians.
 +
 +You can see an interview with Prof. Preim on the topic of Visual Analytics [[https://youtu.be/vW3MattDwoE|on Youtube]].
  
 /* /*
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 **Examination requirements:**  **Examination requirements:** 
  
-  * Two times missing in the exercise is allowed+ /* * Two times missing in the exercise is allowed
   * Ticking at least 3/4 of the exercise tasks   * Ticking at least 3/4 of the exercise tasks
-  * Presentation of at least 2 homework assignments in the exercises+  * Presentation of at least 2 homework assignments in the exercises*/
   * Timely registration (approx. four weeks in advance!)   * Timely registration (approx. four weeks in advance!)
 +
 +<html><font color="red"><b>Every student who has registered for the Visual Analytics course will receive an email with the necessary access data on April 10. With this you will have access to lecture and exercise materials.</b></font></html>
 +
  
  /*<html><span style="color: red;">For the participation in the exercise a registration is necessary until 05.04.2019:</span></html> [[https://lsf.ovgu.de/qislsf/rds?state=verpublish&status=init&vmfile=no&publishid=140724&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung|Registration ]]*/  /*<html><span style="color: red;">For the participation in the exercise a registration is necessary until 05.04.2019:</span></html> [[https://lsf.ovgu.de/qislsf/rds?state=verpublish&status=init&vmfile=no&publishid=140724&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung|Registration ]]*/
  
-<html><span style="color: red;">The examination insight will take place on 11.10 from 8.30-10.30 o'clock in building 29 (FIN) room 207. </span></html>+/* 
 +<html><span style="color: red;">The examination will take place on <b>26.02.2020</b> from <b>10.00-12.00 </b> o'clock in building 29 (FIN) room 307. </span></html> 
 +*/
  
  /*  /*
 +<html><span style="color: red;">The examination insight will take place on 11.10 from 8.30-10.30 o'clock in building 29 (FIN) room 207. </span></html>
 +
 +
   * Erfolgreiche Bearbeitung von 3 Miniprojekten (mind. 6 von 9 Pkt. und mind. 1 Pkt. bei Projekt 3)   * Erfolgreiche Bearbeitung von 3 Miniprojekten (mind. 6 von 9 Pkt. und mind. 1 Pkt. bei Projekt 3)
   * <html><span style="color:magenta">Anwesenheit***</span></html> zu den Projektbesprechungsterminen (09.05., 13.06., 04.07.)    * <html><span style="color:magenta">Anwesenheit***</span></html> zu den Projektbesprechungsterminen (09.05., 13.06., 04.07.) 
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 ===== Lecture===== ===== Lecture=====
-**Location:** G29-E037  <html><br></html> +**Location:** G29-307  <html><br></html> 
-**Time:** Do., 09:00 bis 11:00 (weekly) ([[https://lsf.ovgu.de/qislsf/rds?state=verpublish&status=init&vmfile=no&publishid=125791&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung|→ see LSF]]) <html><br></html> +**Time:** Di., 13:00 bis 15:00 (weekly) ([[https://lsf.ovgu.de/qislsf/rds?state=verpublish&status=init&vmfile=no&publishid=152831&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung|→ see LSF]]) <html><br></html> 
-**1. Lecture:** 04.04.2019+**1. Video Conference (Zoom):** 05.05.2020 
 + 
 +<html><font color="red"><b> 
 +Due to the current corona situation, lectures and exercises will be held virtually until further notice. The videos for the lecture will be linked on this page together with the corresponding slides. There will be 18 video lectures with a duration of about 60 minutes (corresponding to 12 full lectures with 90 minutes) where you see the slides, a small version of the speaker and the related audio. These lectures are meant to be used at any time or location as it is convenient for you.</b> 
 +<br/><br/>It is sufficient to register for the <b>exercise class</b> to take part in the lecture.</font></html> 
 ^ Lecturer: | [[http://www.vismd.de/doku.php?id=people:start|Prof. Bernhard Preim]] || ^ Lecturer: | [[http://www.vismd.de/doku.php?id=people:start|Prof. Bernhard Preim]] ||
 ^ Office: | G29-211|| ^ Office: | G29-211||
 ^ Tel.: | (0391) 67 5 85 12  || ^ Tel.: | (0391) 67 5 85 12  ||
-^ E-Mail:| [[preim@isg.cs.uni-magdeburg.de |preim@isg.cs.uni-magdeburg.de  ]]  ||+^ E-Mail:| [[bernhard.preim@ovgu.de|bernhard.preim@ovgu.de]]  ||
  
 /* /*
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 ====Course of Lectures and Slides:==== ====Course of Lectures and Slides:====
  
-^ ^Content^Folien  + 
-^1 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture1_Introduction.ppt|Introduction}} | +^^Content  ^Video 
-^2 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture2_Clustering.ppt|Clustering}}| +^1 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture1_Introduction.ppt|Introduction}} | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture_video/VisualAnalytics_1a.mov|Video_Intro_a}}, {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture_video/VisualAnalytics_1b.mov|Video_Intro_b}}| 
-^3 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture3_SubSpaceClustering.ppt|Subspace Clustering}}| +^2 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture2_Clustering.ppt|Clustering}}|{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture_video/VisualAnalytics_2a.mov|Video_Clustering_a}}, {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture_video/VisualAnalytics_2b.mov|Video_Clustering_b}}| 
-^4 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture4_Clustering_Validation_Vis_Outlier.ppt|Cluster Analysis: Validation, Visualization, Outlier Detection}}| +^3 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture3_SubSpaceClustering.ppt|Subspace Clustering}}| {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture_video/VisualAnalytics_3a.mov|Video_Clustering_a}}, {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture_video/VisualAnalytics_3b.mov|Video_Clustering_b}}| 
-^5 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture5_BiClusters.ppt|Visual analysis of Biclusters}}| +^4 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture4_Clustering_Validation_Vis_Outlier.ppt|Cluster Analysis: Validation, Visualization, Outlier Detection}}| {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture_video/VisualAnalytics_4a.mov|Video_Clustering_Analysis_a}}, {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture_video/VisualAnalytics_4b.mov|Video_Clustering_Analysis_b}}| 
-^6 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture6_ScatterplotBasedRepresentationsNew.ppt|Scatterplot-Based Visual Representations}}| +^5 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture5_BiClusters.ppt|Visual analysis of Biclusters}}
-^7 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture7_DimensionReduction_Linear.ppt|Linear Dimension Reduction}}| +^6 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture6_ScatterplotBasedRepresentationsNew.ppt|Scatterplot-Based Visual Representations}}
-^8 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture8_DimensionReductionNonLinear.ppt|Non-Linear Dimension Reduction}}| +^7 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture7_DimensionReduction_Linear.ppt|Linear Dimension Reduction}}
-^9 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture9_AssociationRuleMining.ppt|Association Rules}}| +^8 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture8_DimensionReductionNonLinear.ppt|Non-Linear Dimension Reduction}}
-^10 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture10_DecisionTrees.ppt|Decision Trees}}| +^9 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture9_AssociationRuleMining.ppt|Association Rules}}
-^11 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture11_RegressionBasedAnalysis.pptx|Regression Models}}| +^10 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture10_DecisionTrees.ppt|Decision Trees}}
-^12 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture12_TemporalEventSequences.ppt|Temporal Event Sequences}}| +^11 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture11_RegressionBasedAnalysis.pptx|Regression Models}}
-^13 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture13_VisualAnalyticsHealthcare.ppt|Visual Analytics in Healthcare}}| +^12 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture12_TemporalEventSequences.ppt|Temporal Event Sequences}}
-^14 |{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture14_Interactive_Cooperative_VA.ppt|Interactive and Collaborative Visual Analytics}}|+^13 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture13_VisualAnalyticsHealthcare.ppt|Visual Analytics in Healthcare}}
 +^14 |{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/lecture/Lecture14_Interactive_Cooperative_VA.ppt|Interactive and Collaborative Visual Analytics}}|
  
 ==== Literature und Links==== ==== Literature und Links====
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 In the first two exercises there will be a small crash course on R. Previous knowledge of R is not mandatory, but of course recommended.*/ In the first two exercises there will be a small crash course on R. Previous knowledge of R is not mandatory, but of course recommended.*/
  
- +<html><font color="red"> 
-<html><!--<span style="color:red">Voraussichtlich wird nur ein Übungstermin angeboten. Bitte nutzen Sie die Belegungsfunktion im LSFum sich bis 09.04. zu einem der beiden Übungstermine einzuschreiben.</span>--></html>+Similar to the lecturethe exercise will be performed virtually. 
 +<br/><br/> 
 +From 27.04. onwards, a new exercise sheet will be put online here every MondayIn the following week we will provide sample solutions for the current exercise sheet. There will be no voting for the exercises this semester. This means that the exercises are voluntary this semester. With regard to the exam, however, we advise everyone to deal with the exercises in detail every week.  
 +<br/><br/> 
 +For asking and answering questions about the lectures and exercises please use <a href="https://elearning.ovgu.de/course/view.php?id=7713">Moodle</a>.  
 +<br/><br/> 
 +You can login with your student account at the university. There you will find a forum for each exercise sheet and lecture. Write your questions about the corresponding exercises/lectures and we will answer them. After providing the respective sample solution, you have 3 days to post questions about this exercise sheet in the corresponding forum. Afterwards, this forum will be closed. Please check before you ask a question of whether it is already answered in the forum. </font></html>
  
 **__Exercise:__** <html><br></html> **__Exercise:__** <html><br></html>
-**Location:** G29-E037<html><br></html> +/***Group 1**<html><br></html> 
-**Time:** Fr., 13:00 bis 15:00<html><br></html> +**Location:** G29-K059<html><br></html> 
-**1. Exercise:** 12.04.2019 <html><br></html> +**Time:** Mo., 17:00 bis 19:00<html><br></html> 
-<html><!--<span style="color:red"> Registration for the exercise via <ahref="https://lsf.ovgu.de/qislsf/rds?state=verpublish&status=init&vmfile=no&publishid=140724&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung" taget = _blank>LSF</a></span>--></html>+**1. Exercise:** 20.04.2020 <html><br></html> 
 +<html><br></html> 
 +**Group 2**<html><br></html> 
 +**Location:** G29-K058<html><br></html> 
 +**Time:** Di., 11:00 bis 13:00<html><br></html> 
 +**1. Exercise:** 21.04.2020 <html><br></html> 
 +<html><!--<span style="color:red"> Registration for the exercise via <ahref="https://lsf.ovgu.de/qislsf/rds?state=verpublish&status=init&vmfile=no&publishid=154233&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung" taget = _blank>LSF</a></span>--></html>*/
  
-<html><!--+/*<html><!--
 **__Übung 2:__** <html><span style="color:red"> (Wird nur bei Bedarf angeboten)</span> <html><br></html> **__Übung 2:__** <html><span style="color:red"> (Wird nur bei Bedarf angeboten)</span> <html><br></html>
 **Ort:** G29-426<html><br></html> **Ort:** G29-426<html><br></html>
 **Zeit:** Do., 13:00 bis 15:00<html><br></html> **Zeit:** Do., 13:00 bis 15:00<html><br></html>
 **1. Übung:** 12.04.2018 <html><br></html> **1. Übung:** 12.04.2018 <html><br></html>
-<html><!--<span style="color:red"> Anmeldung zur Übung über <a href="https://lsf.ovgu.de/qislsf/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&veranstaltung.veranstid=117927" taget = _blank>LSF</a></span>--></html>+<html><!--<span style="color:red"> Anmeldung zur Übung über <a href="https://lsf.ovgu.de/qislsf/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&veranstaltung.veranstid=117927" taget = _blank>LSF</a></span>--></html>*/
  
 +
 +
 +/*
 ^ Supervisor: | Monique Meuschke| ^ Supervisor: | Monique Meuschke|
 ^ Office:  | G29-207 | ^ Office:  | G29-207 |
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 ^ E-Mail:| [[meuschke@isg.cs.uni-magdeburg.de |meuschke@isg.cs.uni-magdeburg.de ]]  | ^ E-Mail:| [[meuschke@isg.cs.uni-magdeburg.de |meuschke@isg.cs.uni-magdeburg.de ]]  |
 <html><div class="space"></div></html>  <html><div class="space"></div></html> 
 +*/
  
  
 ====(Expected ) course of events:==== ====(Expected ) course of events:====
  
-|< 100% - 10% 40% 45%  >|+|< 100% - 10% 45%  >|
 ^# ^Date  ^Thema ^Material^ ^# ^Date  ^Thema ^Material^
-^1 | 04.04. | Lecture 1| |  +^1 | 06.04. | Time for preparation|{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/AddSlides/01-Intro_VA_&_Vis.pdf}}|  
-^2 | 05.04. | Lecture 2|{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex1/ExerciseSheet_1.pdf}} |  +^13.04. | Time for preparation|{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/AddSlides/02-Intro_to_R_&_RStudio.pdf}}|  
-^|11.04. | No Exercise and No Lecture {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/AddSlides/01-Intro_VA_&_Vis.pdf}} <html><br/></html>{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/AddSlides/02-Intro_to_R_&_RStudio.pdf}}<html><br/></html>{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/AddSlides/03-Creating_Vis_with_ggplot2.pdf}}|  +^|20.04. | Time for preparation |{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/AddSlides/03-Creating_Vis_with_ggplot2.pdf}}|  
-^|12.04. | Exercise: Control exercise sheet 1 |{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex2/ExerciseSheet_2.pdf}} <html><br/></html>{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex2/ex_02_solution_template.Rmd}} <html><br/></html> {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/datasets/EuropeanSoccer.sqlite}} |  +^|27.04. | 1. Exercise sheet |{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex1/ExerciseSheet_1.pdf}},{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex1/Solution_Exercise_Sheet_1.pdf}}|  
-^|18.04. | Lecture 3 | |  +^|04.05. | 2. Exercise sheet |{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex2/ExerciseSheet_2.pdf}}{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex2/ex_02_solution_template.Rmd}}{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex2/ex_02_example_solution.html}}|  
-^6 |19.04. | No Exercise(public holiday)|  |  +^|11.05. | 3. Exercise sheet |{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex3/ExerciseSheet_3.pdf}}{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex3/ex_03_solution_template.Rmd}}{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex3/ex_03_example_solution.pdf}} |  
-^7 | 25.04. | Lecture 4| |  +^|18.05. | 4. Exercise sheet| {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex4/ExerciseSheet_4.pdf}}{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex4/Excercise_4_Solution.pdf}}|  
-^8 | 26.04. | Lecture 5| {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex3/ExerciseSheet_3.pdf}} <html><br/></html>{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex3/ex_03_solution_template.Rmd}} <html><br/></html>{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex3/ex_03_example_solution.pdf}}|  +^|25.05. | 5. Exercise sheet|{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex5/ExerciseSheet_5.pdf}}{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex5/ex_05_solution_template.Rmd}}|  
-^|02.05. | Exercise: Control exercise sheet | |  +^|01.06. | 6. Exercise sheet | |  
-^10 |03.05. |No Exercise and No Lecture | |  +^10 |08.06. |7. Exercise sheet | |  
-^11 |09.05. |Lecture 6 | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex4/ExerciseSheet_4.pdf}}|  +^11 |15.06. |8. Exercise sheet| |  
-^12 |10.05. |Exercise: Control exercise sheet 3| {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex5/ExerciseSheet_5.pdf}} <html><br/></html>{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex5/ex_05_solution_template.Rmd}} <html><br/></html>{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex5/ex_05_example_solution.Rmd}}  |  +^12 |22.06. |9. Exercise sheet|  |  
-^13 |16.05. |No Exercise and No Lecture | |  +^13 |29.06. |10. Exercise sheet| |  
-^14 |17.05. |Exercise: Control exercise sheets 4 and 5| {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex6/ExerciseSheet_6.pdf}}<html><br/></html>{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex6/ex_06_solution_template.Rmd}} <html><br/></html>{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex6/ex_06_example_solution.pdf}} |  +^14 |06.07. |11. Exercise sheet| |  
-^15 |23.05. |Lecture  7| |  +
-^16 |24.05. |Exercise: Control exercise sheet 6|{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex7/ex_07_solution_template.Rmd}} <html><br/></html>{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex7/ex_07_example_solution.pdf}}|  +
-^17 |30.05. |No Exercise and No Lecture| |  +
-^18 |31.05. |Exercise: Control exercise sheet 7| {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex8/ExerciseSheet_8.pdf}}|  +
-^19 |06.06. |No Exercise and No Lecture| |  +
-^20 |07.06. |No Exercise and No Lecture | {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex9/ExerciseSheet_9.pdf}} |  +
-^21 |13.06. |Lecture  8| |  +
-^22 |14.06. |Exercise: Control exercise sheet 8 and 9{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex10/Exercise_Sheet_10.pdf}}|  +
-^23 |20.06. |Exercise: Control exercise sheet 10|{{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex_11/ex_11_solution_template.pdf}}  <html><br/></html> {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex_11/ex_11_solution_template.Rmd}}<html><br/></html> {{http://isgwww.cs.uni-magdeburg.de/cv/lehre/VisAnalytics/material/ss19/exercise/Ex_11/ex_11_example_solution.pdf}}|  +
-^24 |21.06. |Lecture  9| |  +
-^25 |27.06. |Exercise: Control exercise sheet 11| |  +
-^26 |28.06. |Lecture  10| |  +
-^27 |04.07. |Lecture 11| |  +
-^28 |05.07. |Exam preparation|  +
  
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