0953 Grundzüge der IKT
Michael Sebastian Feurstein, MSc (WU)
Contact details
Weekly hours
Language of instruction
09/17/20 to 10/04/20
Registration via LPIS
Notes to the course
Day Date Time Room
Wednesday 10/07/20 01:00 PM - 05:00 PM TC.3.06
Wednesday 10/14/20 01:00 PM - 05:00 PM TC.2.02
Wednesday 10/21/20 01:00 PM - 05:00 PM D2.0.030
Wednesday 10/28/20 01:00 PM - 05:00 PM TC.3.06
Wednesday 11/04/20 01:00 PM - 05:00 PM Online-Einheit
Wednesday 11/11/20 01:00 PM - 05:00 PM Online-Einheit
Wednesday 11/18/20 01:00 PM - 05:00 PM Online-Einheit
Procedure for the course when limited activity on campus

If there will be restrictions due to Sars-CoV-2 the course will be held in synchronous hybrid mode.

This means:

  • Rotation
    Only 50% participants (max. 15 participants) will be able to attend each class physically. Groups will be communicated and assigned and each session will be rotated so that all students in the end will have attended the class on campus at a level of 50% attendance.
  • Lecturecast Live Stream
    The other 50% participants will be able to watch the entire class in a synchronous live streaming format via Lecturecast Services (Web Streaming).
  • Lecturecasts
    If, for technical reasons any inconveniences arise, Lecturecast Recordings will be made readily available in any case before and after each session.
  • Chat
    Additionally there will be an asynchronous communication channel during each session via LEARN Chat.

If, in the worst case scenario, the campus is closed during the winter term, the complete course will be held in a distance teaching format via LEARN (Learning Activities, Readit, Lecturecasts, Forum, Chat).

In any case attendance will be and stay mandatory for the first session.


The tremendous technological advances in information and communication technologies, especially in the Internet of Things and Cyber Physical Systems, have enabled the development of highly autonomous systems (i.e., robots) that act in the physical and virtual worlds. Information and the robots that are processing it are expected to be available everywhere and at all times.

Today’s E-Business relies on highly networked, data-driven ICT systems and machines taking autonomous decisions. Virtual and physical environments begin to merge surfacing in technology trends such as "industry 4.0", "drones" and "smart assistants". In the physical environment objects are identified, environment is sensed and interaction between computers and humans is pushed to the invisible. In the virtual environment behavioral data is collected. Business intelligence applications help to combine both information sources to gain new insights. But the ubiquitous availability of information and the autonomous machines using it impose risks which need to be minimized to protect humans and businesses.

This course will provide you with:

  • an introduction to central terminology and concepts used in ICT
  • selected historical perspectives on current technology and its development
  • selected insights on open source software projects & working groups
  • perspectives on ubiquitous computing and surrounding technology
  • basic knowledge on web technology and concepts
  • an introduction to big data and its underlying architecture
  • selected perspectives on IT Governance
  • a basic introduction into IT Security
Learning outcomes

After attending this research-guided course, students will be able to understand, describe and judge key information and communication technologies that support electronic business transactions and smart commerce environments.

Subject-related skills

  • Know what technologies are used for business in electronic environments (fixed/mobile systems, data collection (i.e. RFID), networks, localization technologies).
  • Understand the fundamental challenges in the emerging area of mobile and ubiquitous computing.
  • Understand the evolution of interfaces between humans and computers from direct manipulation to implicit interaction.
  • Judge on the impact that technologies will have and how their technical traits and capabilities foster and limit their business use and deployment potential.
  • Understand the underlying architecture of big data systems and how future developments may influence such systems.

Transferable skills

  • Ability to analyze and judge the suitability of technical solutions and services in business.
  • Ability to discuss research-oriented topics related to the design, application, deployment and risks of information technology in business contexts.
Attendance requirements

Standard PI (=”prüfungsimmanent” - continuous assessment of course work) attendance policy applies: In general, attendance is mandatory.

A maximum of 4 hours (or 20%) absence is acceptable. Please check back with the instructor per E-Mail if you have any questions regarding attendance.

Teaching/learning method(s)

The course is taught in an interactive manner and guided by research output (e.g. text books and scientific papers). In addition to input from the instructor, students are expected to participate in short in-class team assignments and discuss results with the class. A group assignment with the goal of producing a short explainer video based on a scientific paper will be combined with peer review based on other peer explainer videos. Finally, students have the opportunity to demonstrate their obtained skills in a written exam.


There are five independently graded types of deliverables:

  • Video-Based Learning (VBL) Unit - Group Assignment for Explainer Video (20%)
  • Peer Reviews - Peer Reviews of other VBL Units (4%)
  • VBL Activities - 3-6 asynchronous video-based learning activities on LEARN (6%)
  • In-Class Exercises - at least two collaborative in-class exercises (10%)
  • Final Exam (60%)

Regular attendance is a prerequisite for passing the course.

Grading scheme:

87.5% - 100%   = "Sehr gut"  (Excellent)
75% - 87.49%   = "Gut"   (Good)
62.5% - 74.99%  = "Befriedigend" (Satisfactory)
50% - 62.49%  = "Genügend"  (Sufficient)
Below 50%  = "Nicht Genügend" (Fail)


Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at

Prerequisites for participation and waiting lists

Registration to AG “Einstieg in die SBWL Business Information Systems” (“Entrance into SBWL Business Information Systems”) in LPIS.

Students will be ranked according to the current entrance criteria by the WU vice rectorate for teaching and notified whether they have a spot in the course Basics of ICT.


Important note: Please be on time for the first unit! Attendance for the first session is mandatory for registered students. If you cannot make it to class in time please make sure to inform the lecturer via email 24 hours before the first unit takes place.

Recommended previous knowledge and skills

Der Kurs baut auf Wissen aus BIS I auf.

Der Kurs wird auf Deutsch abgehalten. Das bedeutet, dass die LV-Leiterinnen in deutscher Sprache vortragen und auch die Diskussionen im Kurs auf Deutsch stattfinden. Das gesamte Lehrmaterial (z.B. Folien, Skripte, Artikel, etc.) ist jedoch in englischer Sprache gehalten. Studierende, die an diesem Kurs teilnehmen wollen, müssen somit sowohl die deutsche als auch die englische Sprache (mündlich und schriftlich) gut bis sehr gut beherrschen (Texte flüssig lesen, verstehen und zusammenfassen können).

Availability of lecturer(s)



Feedback: The students are encouraged to provide feedback at any time to the instructor either orally or per E- Mail. Furthermore, this course is evaluated each semester via an online survey and published via LEARN.

Academic Dishonesty: Academic misconduct (plagiarism, cheating, etc.) will be prosecuted in accordance with the university’s policies and regulations.

Last edited: 2020-06-30