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Curriculum

Modul CS3140-KP04

Cloud and Web Technologies (WebTech)

Duration:


1 Semester
Turnus of offer:


each summer semester
Credit points:


4
Course of studies, specific field and terms:
  • Bachelor Robotics and Autonomous Systems 2020 (optional subject), Additionally recognized elective module, 6th semester
  • Bachelor Computer Science 2014 (optional subject), major subject informatics, Arbitrary semester
  • Bachelor Computer Science 2016 (optional subject), major subject informatics, Arbitrary semester
  • Bachelor Computer Science 2019 (optional subject), major subject informatics, Arbitrary semester
  • Bachelor Computer Science 2019 (compulsory), Canonical Specialization Web and Data Science, 6th semester
  • Bachelor Medical Informatics 2019 (optional subject), computer science, 4th to 6th semester
  • Bachelor IT-Security 2016 (optional subject), specific, Arbitrary semester
Classes and lectures:
  • Cloud and Web Technologies (exercise, 2 SWS)
  • Cloud and Web Technologies (lecture, 2 SWS)
Workload:
  • 20 Hours exam preparation
  • 60 Hours in-classroom work
  • 40 Hours private studies
Contents of teaching:
  • Web-technologies and web-engineering
  • Client and server technologies
  • Cloud Computing
  • Architectures und middleware-technologies
  • Web protocols
  • Document languages
  • Semantic Web
Qualification-goals/Competencies:
  • Students can analyze problems of websites, evaluate with which web technologies they can be solved and implement the envisioned solution.
  • They are able to explain the division of work between servers and clients in the web.
  • They can model knowledge bases with the help of Semantic Web technologies.
  • They can store, administer and process big data in the cloud.
  • They can judge for which problems Semantic Web technologies are promising compared to traditional approaches.
Grading through:
  • Written or oral exam as announced by the examiner
Responsible for this module:
Teachers:
Literature:
  • R. W. Sebesta: Programming the World Wide Web - Pearson New International Edition - Pearson, 2014
  • J. Domingue, D. Fensel, J.A. Hendler (Eds.): Handbook of Semantic Web Technologies
  • R. Wartala: Hadoop: Zuverlässige, verteilte und skalierbare Big-Data-Anwendungen - Open Source Press, 2012
  • S. Groppe: Data Management and Query Processing in Semantic Web Databases - Springer, 2011
Language:
  • German and English skills required
Notes:

Prerequisites for attending the module:
- None

Prerequisites for the exam:
- Successful completion of homework and project assignments during the semester

Letzte Änderung:
21.2.2023