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<head>
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<meta name="author" content="Martin Sulzmann" />
<title>Autonome Systeme - Winter Semester 24/25</title>
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<body>
<header id="title-block-header">
<h1 class="title">Autonome Systeme - Winter Semester 24/25</h1>
<p class="author">Martin Sulzmann</p>
</header>
<h2 id="evaluation">Evaluation</h2>
<ul>
<li><p>Klausur, 60min, ohne Hilfsmittel</p></li>
<li><p>Bonuspunkte (10% extra) bei Bearbeitung Online Tests</p>
<ul>
<li>Lineare Bonuspunkte Verteilung (100% Online Tests = 10% extra, 50%
Online Tests = 5% extra)</li>
<li>Pro Test zwei Versuche jeweils 90min</li>
<li>Durchführungstermine beachten</li>
</ul></li>
</ul>
<h2 id="vorlesungsunterlagen">Vorlesungsunterlagen</h2>
<ul>
<li><a href="./overview.html">Overview</a></li>
<li><a href="./lec-concurrency-go.html">Concurrency in Go</a>
<ul>
<li>Go multi-threading, Kanal-basierte Kommunikation</li>
<li>Synchrone versus Asynchrone Kommunikation</li>
<li>Kanäle von Kanälen</li>
<li>Nichtdeterministische Auswahl (“select”)</li>
<li>Weitere Aufgaben und Zusammenfassung</li>
</ul></li>
<li><a href="./lec-program-traces.html">Fehlerszenarien und
Programmspuren</a></li>
<li><a href="./lec-static-dynamic-analysis.html">Dynamic versus static
analysis methods</a></li>
<li>Dynamic data race prediction
<ul>
<li><a href="./lec-data-race-overview.html">Overview</a></li>
<li><a href="./lec-hb-vc.html">Happens-before Methode</a></li>
<li><a href="./lec-data-race-examples.html">TSan and examples</a></li>
<li><a href="./lec-lockset.html">Lockset Methode</a></li>
<li><a href="./lec-data-race-summary.html">Summary</a></li>
</ul></li>
<li><a href="./lec-deadlock.html">Deadlock Analyse</a></li>
<li>Go Analysis Scenarios</li>
<li><a href="./lec-concurrency-models.html">Concurrency models</a>
<ul>
<li>mutex</li>
<li>fork/join</li>
<li>barrier</li>
<li>wait/notify</li>
<li>actors</li>
<li>futures und Zusammenfassung</li>
<li><a href="./lec-futures.html">Mehr zu futures und promises</a></li>
</ul></li>
<li><a href="./weitereBeispiele.html">Weitere Beispiele</a></li>
<li><a href="./lec-go-compact.html">Go - kurz und knapp</a></li>
</ul>
<h1 id="semesterablauf">Semesterablauf</h1>
<ul>
<li><p>Vorlesung, E301, Donnerstags 11:30-13:00 und auf <a href="https://h-ka-de.zoom-x.de/j/4837536496?pwd=dnlrTmVhWXlYOTFNMEhnYVNtRTJwZz09">zoom</a></p></li>
<li><p>Tutorium, E301, Donnerstgs 13:00-14:00</p></li>
</ul>
<p>Wöchentlicher Ablauf (siehe auch ilias Forum)</p>
<ul>
<li>W1, 30.09-06.10
<ul>
<li>Keine Vorlesung (Feiertag)</li>
</ul></li>
<li>W2, 07.10-13.10
<ul>
<li>Intro</li>
<li>Go multi-threading, Kanal-basierte Kommunikation</li>
<li>Diese Woche kein Tutorium</li>
</ul></li>
<li>W3, 14.10-20.10
<ul>
<li>Kanal-basierte Kommunikation</li>
<li>Mutex und Semaphore</li>
</ul></li>
<li>W4, 21.10-27.10
<ul>
<li>Fork/Join, Barrier</li>
<li>Kanäle von Kanälen</li>
<li>Nichtdeterministische Auswahl (“select”)</li>
</ul></li>
<li>W5, 28.10-03.11
<ul>
<li>Was alles schief gehen kann
<ul>
<li>Fehlerszenarien</li>
<li>Programmspuren</li>
</ul></li>
</ul></li>
<li>W6, 04.11-10.11
<ul>
<li>Dynamische Data Race Erkennung</li>
</ul></li>
<li>W7, 11.11-17.11
<ul>
<li>Dynamische Data Race Erkennung</li>
</ul></li>
<li>W8, 18.11-24.11
<ul>
<li>Dynamische Data Race Erkennung</li>
</ul></li>
<li>W9, 25.11-01.12
<ul>
<li>Deadlock Analyse</li>
</ul></li>
<li>W10, 02.12-08.12
<ul>
<li>Go Analyse Szenarien</li>
</ul></li>
<li>W11, 09.12-15.12
<ul>
<li>Go Analyse Szenarien</li>
</ul></li>
<li>W12, 16.12-22.12
<ul>
<li>TBA</li>
</ul></li>
<li>W13, 06.01-12.01
<ul>
<li>Concurrency models</li>
</ul></li>
<li>W14, 13.01-19.01
<ul>
<li>Concurrency models</li>
</ul></li>
<li>W15, 20.01-26.01
<ul>
<li>Concurrency models</li>
</ul></li>
</ul>
</body>
</html>