184.705 Semistructured Data
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2018S, VU, 2.0h, 3.0EC

TUWEL course

Properties

Semester hours: 2.0
Credits: 3.0
Type: VU Lecture and Exercise

Aim of course

Introduction to Semistructured Data: XML and related standards

Subject of course

Focuses:

XML
XML schema languages (DTDs, XML Schema)
XML query languages (XPath, XQuery, XSLT)
XML-APIs (parsers, XSLT-processor)

Additional information

The course language is German (and so the exercises and exams are in German), but the provided course material is in English. If demanded timely we will provide an English version for the first exam.

Questions about the course

are only guaranteed to be answered if sent to ssd@dbai.tuwien.ac.at.
Notice that, messages where the subject does not start with "SSD:" might be considered spam.

ECTS Breakdown:

24h lectures
34h exercises
1h exercise interviews
24h exam preparation
2h exam

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75h (3 ECTS)
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ATTENTION:

The first lecture takes place on March, 1st in lecture room EI7. The following lectures are all in HS17 Hartmann.

Lecturers

Dvorak, Wolfgang
Fischl, Wolfgang

Institute

E192 Institute of Logic and Computation

Course dates

Day	Time	Date	Location	Description
Thu	11:00 - 12:30	01.03.2018	EI 7 Hörsaal - ETIT	Lecture
Thu	11:00 - 13:00	08.03.2018 - 24.05.2018	HS 17 Friedrich Hartmann - ARCH	Vorlesung
Mon	18:00 - 19:00	23.04.2018	InfLab Pong	Q&A with Teaching Assistants - Exercise 1 (optional)
Wed	14:00 - 15:00	25.04.2018	InfLab Pong	Q&A with Teaching Assistants - Exercise 1 (optional)
Fri	11:00 - 12:00	27.04.2018	Informatiklabor Breakout	Q&A with Teaching Assistants - Exercise 1 (optional)
Wed	12:00 - 13:00	23.05.2018	InfLab Pong	Q&A with Teaching Assistants - Exercise 2 (optional)
Thu	13:00 - 14:00	24.05.2018	InfLab Pong	Q&A with Teaching Assistants - Exercise 2 (optional)
Fri	11:00 - 12:00	25.05.2018	Informatiklabor Breakout	Q&A with Teaching Assistants - Exercise 2 (optional)

Show single appointments

Semistructured Data - Single appointments

Day	Date	Time	Location	Description
Thu	01.03.2018	11:00 - 12:30	EI 7 Hörsaal - ETIT	Lecture
Thu	08.03.2018	11:00 - 13:00	HS 17 Friedrich Hartmann - ARCH	Vorlesung
Thu	15.03.2018	11:00 - 13:00	HS 17 Friedrich Hartmann - ARCH	Vorlesung
Thu	22.03.2018	11:00 - 13:00	HS 17 Friedrich Hartmann - ARCH	Vorlesung
Thu	12.04.2018	11:00 - 13:00	HS 17 Friedrich Hartmann - ARCH	Vorlesung
Thu	19.04.2018	11:00 - 13:00	HS 17 Friedrich Hartmann - ARCH	Vorlesung
Mon	23.04.2018	18:00 - 19:00	InfLab Pong	Q&A with Teaching Assistants - Exercise 1 (optional)
Wed	25.04.2018	14:00 - 15:00	InfLab Pong	Q&A with Teaching Assistants - Exercise 1 (optional)
Thu	26.04.2018	11:00 - 13:00	HS 17 Friedrich Hartmann - ARCH	Vorlesung
Fri	27.04.2018	11:00 - 12:00	Informatiklabor Breakout	Q&A with Teaching Assistants - Exercise 1 (optional)
Thu	03.05.2018	11:00 - 13:00	HS 17 Friedrich Hartmann - ARCH	Vorlesung
Thu	17.05.2018	11:00 - 13:00	HS 17 Friedrich Hartmann - ARCH	Vorlesung
Wed	23.05.2018	12:00 - 13:00	InfLab Pong	Q&A with Teaching Assistants - Exercise 2 (optional)
Thu	24.05.2018	11:00 - 13:00	HS 17 Friedrich Hartmann - ARCH	Vorlesung
Thu	24.05.2018	13:00 - 14:00	InfLab Pong	Q&A with Teaching Assistants - Exercise 2 (optional)
Fri	25.05.2018	11:00 - 12:00	Informatiklabor Breakout	Q&A with Teaching Assistants - Exercise 2 (optional)

Examination modalities

The assessment of the exercises is 25% of the total score.

The course concludes with an exam consisting of a theoretical part and practical examples. The final exam must be completed in a positive way and is 75% of the total score.

Exams

Day	Time	Date	Room	Mode of examination	Application time	Application mode	Exam
Tue	-	18.06.2024		written	29.04.2024 09:00 - 15.06.2024 12:00	TISS	Exam (Room 1)
Tue	-	18.06.2024		written	29.04.2024 09:00 - 15.06.2024 12:00	TISS	Exam (Room 2)

Course registration

Begin	End	Deregistration end
16.02.2018 00:00	22.03.2018 23:59

Curricula

Study Code	Obligation	Semester	Precon.
033 526 Business Informatics	Mandatory	4. Semester	Course requires the completion of the introductory and orientation phase
033 532 Media Informatics and Visual Computing	Mandatory elective		Course requires the completion of the introductory and orientation phase
033 534 Software & Information Engineering	Mandatory elective		Course requires the completion of the introductory and orientation phase

Literature

No lecture notes are available.

Previous knowledge

basic programming skills in Java (EPROG)
knowledge of the course Data Modelling or the course Data Base Systems, in particular: relational data model, SQL