Module CS3140-KP04

Cloud and Web Technologies (WebTech)


Duration

1 Semester

Turnus of offer

each summer semester

Credit points

4

Course of studies, specific fields and terms:

  • Bachelor Robotics and Autonomous Systems 2020 , optional subject, Additionally recognized elective module
  • Bachelor Computer Science 2014, optional subject, major subject informatics
  • Bachelor Computer Science 2016, optional subject, major subject informatics
  • Bachelor Computer Science 2019, optional subject, major subject informatics
  • Bachelor Computer Science 2019, compulsory, Canonical Specialization Web and Data Science
  • Bachelor Medical Informatics 2019, optional subject, computer science
  • Bachelor IT-Security 2016, optional subject, specific

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:

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

Last Updated:

21.02.2023