The spring semester 2021 will take place online until further notice. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers.

Search result: Catalogue data in Autumn Semester 2018

Computer Science Bachelor Information
Seminar
Students may also choose seminars from the Master's program in Computer Science. It is their responsibility to make sure that they meet the requirements and conditions for these seminars.
NumberTitleTypeECTSHoursLecturers
252-2600-05LSoftware Engineering Seminar Information Restricted registration - show details
Number of participants limited to 22.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2SM. Vechev, D. Drachsler Cohen
AbstractThe course is an introduction to research in software engineering, based on reading and presenting high quality research papers in the field. The instructor may choose a variety of topics or one topic that is explored through several papers.
ObjectiveThe main goals of this seminar are 1) learning how to read and understand a recent research paper in computer science; and 2) learning how to present a technical topic in computer science to an audience of peers.
ContentThe technical content of this course falls into the general area of software engineering but will vary from semester to semester.
252-3300-00LSeminar on Computer Architecture Information Restricted registration - show details
The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2SO. Mutlu
AbstractIn this seminar course, we will cover fundamental and cutting-edge research papers in computer architecture. The course will consist of multiple components that are aimed at improving students' technical skills in computer architecture, critical thinking and analysis on computer architecture concepts, as well as technical presentation of concepts and papers in both spoken and written forms.
ObjectiveThe main objective is to learn how to rigorously analyze and present papers and ideas computer architecture. We will have rigorous presentation and discussion of selected papers during lectures and a written report delivered by each student at the end of the semester.

This course is for those interested in computer architecture. Registered students are expected to attend every lecture and participate in the discussion.
ContentTopics will center around computer architecture. We will, for example, discuss papers on hardware security; architectural acceleration mechanisms for key applications like machine learning, graph processing and bioinformatics; memory systems; interconnects; processing inside memory; various fundamental and emerging paradigms in computer architecture; hardware/software co-design and cooperation; fault tolerance; energy efficiency; heterogeneous and parallel systems; new execution models, etc.
Lecture notesAll required materials will be posted on the course website, location to be determined.
LiteratureKey papers and articles, on both fundamentals and cutting-edge topics in computer architecture will be provided and discussed. These will be posted on the course website.
Prerequisites / NoticeDesign of Digital Circuits.
Students should have done very well in Design of Digital Circuits and show a genuine interest in Computer Architecture.
252-4230-00LAdvanced Algorithms and Data Structures Information Restricted registration - show details
Number of participants limited to 24.

As a prerequisite, students must have more than just basic knowledge on algorithms and data structures.
If you have enjoyed the class "Algorithms, Probability and Computing", this seminar is just right for you!

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.

Takes place for the last time!
W2 credits2SP. Widmayer, S. Leucci, P. Uznanski
AbstractWe will look into modern approaches of algorithms and data structures. A few breakthrough and highly influential papers from the general area of algorithms, from the past 20 years will be selected for students to study.
ObjectiveDevelop an understanding of modern techniques and paradigms in the design of algorithms and data structures.
ContentTopics include (but are not exhausted by):

-graph algorithms,
-text algorithms,
-approximation algorithms,
-algebra in algorithms,
-streaming algorithms,
-conditional lower bounds,
-sparsification,
-randomness in algorithms,
-sampling.
Prerequisites / NoticeAlgorithms and Data Structures, or equivalent.
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