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182.115
Scientific Project
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.
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2010W, SE, 4.0h, 6.0EC
Properties
Semester hours: 4.0
Credits: 6.0
Type: SE Seminar
Aim of course
This course permits first steps in own scientific work on selected topics of computer engineering. Based upon a (typically self-assigned) publications on some suitable topic in this field, a short paper shall be written and presented during the semester. In addition, the course is also an excellent opportunity to get in touch with our research projects and establishes a solid basis for related diploma thesises and dissertations.
Subject of course
Possible topics (selection): Timing analysis methods, real-time programming languages, real-time programming, code synthesis and code generation for embedded systems, hardware and software architectures for embedded systems, embedded operating systems. The organization of this course is very similar to writing a Master/PhD thesis, albeit with much less size and tighter supervision.
Additional information
Particularly recommended for students who wish to get involved in the group's activities and research projects.Please consider the plagiarism guidelines of TU Wien when writing your seminar paper:
Directive concerning the handling of plagiarism (PDF)
Lecturers
Puschner, Peter
Kopetz, Hermann
El-Salloum, Christian
Wasicek, Armin
Huber, Benedikt
Kammerer, Roland
Institute
E182 Institute of Computer Engineering
Examination modalities
Writing of a short scientific paper + presentation devoted to some individually assigned scientific topic.
Course registration
Registration modalities
am Institut Ort: persönlich (laufend, während der Sprechstunden bzw. nach Terminvereinbarung)
Curricula
Study Code
Obligation
Semester
Precon.
Info
066 938 Computer Engineering
Mandatory elective
Literature
No lecture notes are available.
Previous knowledge
Basic knowledge in at least one relevant field of computer sciene (preferably real-time systems, embedded systems programming, timing analysis, complexity analysis, programming languages, operating systems, dependable systems); basic knowledge and interest in scientific work.
Language
German