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Intern
    Machine Learning for Complex Networks

    Teaching

    Our teaching portfolio comprises various courses addressing the foundations of data science and machine learning in complex data. Below you find information on lectures, seminars, and labs that we currently offer at University of Würzburg.

    Lectures start in the first week of the teaching period. For seminars and labs, an information event is held in the beginning of the teaching period. For further information, please refer to the linked Moodle courses.

     

    Summer semester 2022

    MSc Lecture "Machine Learning for Complex Networks"
    Prof. Dr. Ingo Scholtes
    2 SWS, 08 130000, WED 12-14 HS2

    This lecture is a direct follow-up of our course "Statistical Network Analysis". In a first chapter we discuss machine learning applications of statistical network models covered in our SNA course. We then turn our attention to state-of-the-art graph representation learning techniques and graph neural networks. Just like for "Statistical Network Analysis", the lectures will integrate practice session in python, in which we demonstrate how to apply the methods. While completing the course Statistical Network Analysis before is certainly beneficial, this course can also be taken independently. A syllabus of the course is available here

    MSc Exercise "Machine Learning for Complex Networks"
    Dr. Anatol Wegner, Franziska Heeg, Lisi Qarkaxhija, Chester Tan
    2 SWS, 08 130050, MO 10-12, THU 10-12, FR 10-12

    MSc Praktikum (Lab) "Graph Neural Networks"
    Prof. Dr. Ingo Scholtes, Franziska Heeg
    6 SWS, 08 140720, biweekly meetings, block session at the end of the semester

    In this lab, you get the chance to take a deep dive into recent machine learning techniques for graph-structured data. We have a collection of interesting recent works on graph neural networks, from which you can choose. Your goal will be to implement those works to address a practical machine learning task.

    MSc Praktikum (Lab) "Statistical Network Analysis"
    Dr. Anatol Wegner, Lisi Qarkaxhija, Chester Tan
    6 SWS, 08 140730, biweekly meetings, block session at the end of the semester

    In this follow-up lab to our course in winter, you get a chance to address an advanced network analysis problem and to implement recent algorithms and models in statistical network analysis and graph mining. 

    MSc eXtAI Lab 1
    Prof. Dr. Ingo Scholtes, Dr. Anatol Wegner, Lisi Qarkaxhija, Chester Tan
    6 SWS, 08 181090

    BSc/MSc Seminar "Data, AI, and Society"
    Dr. Anatol Wegner, Chester Tan
    2 SWS, 08 151250, biweekly meetings, block session at the end of the semester

    In this seminar, we discuss current societal challenges and opportunities in the application of data science and machine learning. Following an information event at the beginning of the lecture period, the seminar will be organized as a block seminar in the format of a mini-conference. For the final event, students will have to prepare selected works dicussing societal consequences of Big Data and artificial intelligence.

    BSc/MSc Seminar "Machine Learning for Complex Networks"
    Prof. Dr. Ingo Scholtes, Franziska Heeg, Lisi Qarkaxhija
    2 SWS, 08 151260, biweekly meetings, block session at the end of the semester

    In this seminar, we will discuss recent advances in the application of machine learning to graph-structured data. Following an information event at the beginning of the lecture period, we will hold a block seminar in the format of a mini-conference. For this, students will have to prepare selected works on machine learning techniques and applications in data on complex networks.

    Obserseminar (Research Seminar) "Machine Learning for Complex Networks"
    Prof. Dr. Ingo Scholtes
    2 SWS, 08 153000

    The teaching language of all courses above is English. For the labs and seminars, we will hold joint information events in which we introduce possible topics and organisation details. To facilitate your participation, we will hold those information events via Zoom.

    The information event for the two seminars is scheduled for Wednesday, April 27, 16:15 - 17:45
    https://uni-wuerzburg.zoom.us/j/66752530071
    Meeting-ID: 667 5253 0071

    The information event for the two labs is scheduled for Friday, April 29, 12:15 - 13:45
    https://uni-wuerzburg.zoom.us/j/69735178113
    Meeting-ID: 697 3517 8113

    Please contact us via E-Mail if you would like to participate in a seminar or lab, but cannot participate in the respective information event. 

    Winter semester 2021/2022

    MSc Lecture Statistical Network Analysis
    Prof. Dr. Ingo Scholtes
    2 SWS

    MSc Exercise Statistical Network Analysis
    Prof. Dr. Ingo Scholtes, Dr. Anatol Wegner, Lisi Qarkaxhija, Chester Tan
    2 SWS

    eXtAI Lab 1 Network Analytics and Visulisation Lab
    Prof. Dr. Ingo Scholtes
    3 SWS

    Oberseminar (Research Seminar) Machine Learning for Complex Networks 
    Prof. Dr. Ingo Scholtes
    2 SWS