227-0559-10L  Seminar in Communication Networks: Learning, Reasoning and Control

SemesterAutumn Semester 2020
LecturersL. Vanbever
Periodicitynon-recurring course
CourseDoes not take place this semester.
Language of instructionEnglish
CommentNumber of participants limited to 24.



Courses

NumberTitleHoursLecturers
227-0559-10 SSeminar in Communication Networks: Learning, Reasoning and Control
Does not take place this semester.
Course offered again in FS 2021.
2 hrsL. Vanbever

Catalogue data

AbstractIn this seminar participating students review, present, and discuss (mostly recent) research papers in the area of computer networks. During the fall semester of 2019, the seminar will focus on topics blending networks with machine learning and control theory.
Learning objectiveThe two main goals of this seminar are: 1) learning how to read and review scientific papers; and 2) learning how to present and discuss technical topics with an audience of peers.

Students are required to attend the entire seminar, choose a paper to present from a given list, prepare and give a presentation on that topic, and lead the follow-up discussion. To ensure the talks' quality, each student will be mentored by a teaching assistant. In addition to presenting one paper, every student is also required to submit one (short) review for one of the two papers presented every week in-class (12 reviews in total).

The students will be evaluated based on their submitted reviews, their presentation, their leadership in animating the discussion for their own paper, and their participation in the discussions of other papers.
ContentThe seminar will start with two introductory lectures in week 1 and week 2. Starting from week 3, participating students will start reviewing, presenting, and discussing research papers. Each week will see two presentations, for a total of 24 papers.

The course content will vary from semester to semester. During the fall semester of 2019, the seminar will focus on topics blending networks with machine learning and control theory. For details, please see: https://seminar-net.ethz.ch
Lecture notesThe slides of each presentation will be made available on the website.
LiteratureThe paper selection will be made available on the course website: https://seminar-net.ethz.ch
Prerequisites / NoticeCommunication Networks (227-0120-00L) or equivalents. For fall 2019, it is expected that students have prior knowledge in machine learning and control theory, for instance by having attended appropriate courses.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersL. Vanbever
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places24 at the most
Waiting listuntil 27.09.2020

Offered in

ProgrammeSectionType
Doctoral Dep. of Information Technology and Electrical EngineeringDoctoral and Post-Doctoral CoursesWInformation
Electrical Engineering and Information Technology MasterRecommended SubjectsWInformation
Electrical Engineering and Information Technology MasterSpecialisation CoursesWInformation