Official course description, subject to change:
Basic info last published 18/03-20

Technical Communication

Course info
Language:
English
ECTS points:
7.5
Course code:
BSTECOM1KU
Participants max:
62
Offered to guest students:
yes
Offered to exchange students:
Offered as a single subject:
yes
Price (single subject):
10625 DKK (incl. vat)
Programme
Level:
Bachelor
Programme:
BSc in Data Science
Staff
Teacher
Part-time Lecturer
Course semester
Semester
Efterår 2020
Start
24 August 2020
End
22 January 2021
Exam
Exam type
ordinær
Internal/External
intern censur
Grade Scale
7-trinsskala
Exam Language
GB
Abstract
This course gives an introduction to technical communication. It will focus on designing different forms of communication (writing, presenting orally, graphic design) correctly, effectively, and convincingly. There will be a theoretical introduction to the importance and principles of technical communication together with several individual and group based practical exercises.
Description

Efficient and convincing communication will play a deciding role whether you get a job, a promotion, or whether you win a grant. Communication is also an integral part in technical jobs or in research: You will spend at least 20 percent of your time on communication, work in a team or lead a team yourself, or translate technical insights for a general audience or for management. In such a setting, poor communication can lead to major financial losses or even to serious catastrophes costing human lives.

In this course the student will gain an understanding of why technical communication is important, and how technical information is communicated clearly, efficiently, and convincingly to a specific audience. In particular, the course will cover the following subjects:

  1. Challenges and failures of communication 
  2. Importance and principles of technical communication
  3. Rhetoric principles
  4. Team-based communication
  5. Audience analysis and subject research
  6. Communicating correctly, effectively, and convincingly
  7. Designing and delivering persuasive technical presentations
  8. Text design and reviewing, evaluating, testing documents and websites
  9. Summarizing research findings, communication for web and social media
  10. Translating research findings for a general audience
  11. Writing definitions, documentation and instructions
  12. Writing reports and proposals
  13. Writing CVs and application materials
  14. Information design with figures, tables, and graphs
Formal prerequisites
Changes may occur.
The course is mandatory for BSc Data Science fifth semester. Moreover, the student must meet the admission requirements of the IT University.
Intended learning outcomes

After the course, the student should be able to:

  • Write correctly and efficiently a technical/professional document for a specific audience.
  • Evaluate the effectiveness of graphically designed information in a technical context.
  • Design a persuasive technical presentation for a specific audience.
  • Communicate collaboratively in a team setting.
Ordinary exam
Exam type:
C: Submission of written work, Internal (7-point scale)
Exam variation:
C1G: Submission of written work for groups