Algorithmic Problem Solving: Graphs and Flows

Utbildningsfakta

Kod: ETE389

<h3>Course content</h3><p>The purpose of the course is to develop the ability to solve algorithmic problems by using knowledge of algorithms, data structures and complexity theory with a focus on graphs and flows. To solve this type of problems it is important to analyse the problem, choose or design an algorithm, determine how much resources (time and memory) the algorithm requires, and then implement and test the algorithm correctly and fast.</p><p>It is expected to have practical experience of programming in a common programming language and basic knowledge of data structures and algorithms</p><h3>Course outline</h3><p>The course is an online course that you can do at any time and in any pace at&nbsp;<a href="https://liu.kattis.com/">https://liu.kattis.com/</a>. The course is a self-study course of the online material and is examined through automatically corrected programming exercises.&nbsp;</p><p>You can start the course almost anytime you want, as the course is an online course with flexible admission. You make the application for the semester you intend to start reading the course. If you want to start directly, you apply for the current semester or you choose the semester you intend to start. Choose the semester you are interested in above, and you will find the right application opportunity.</p><p>The course is given and examined over the Internet.</p><h3>Information on entry requirements</h3><p>You must prove that you fulfil the entry requirements when applying for the course. If your grades are not already on your pages at antagning.se, you need to upload them in connection with your application.</p>

Behörighet

150 ECTS credits passed of which 15 ECTS credits in programming and 15 ECTS credits in mathematics. English corresponding to the level of English in Swedish upper secondary education (Engelska 5 Engelska nivå 1) Exemption from Swedish

Utbildningstillfällen

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• Algorithmic Problem Solving: Graphs and Flows

  Linköping University

  Startdatum: 31 augusti 2026

  Slutdatum: 24 januari 2027

  Studietakt: 10 %