| Knowledge Management and Decision-Making in Software Engineering [2026 SoSe] | ||
|---|---|---|
| Code ISWKM |
Name Knowledge Management and Decision-Making in Software Engineering |
|
| LP 3 |
Dauer one semester |
Angebotsturnus every second winter semester |
| Format lecture + exercise 2 SWS |
Arbeitsaufwand 90 h; thereof: 30 h lecture + exercise 15 h preparation for exam 45 h self-study and homework (optionally in groups) |
Verwendbarkeit M.Sc. Data and Computer Science |
| Sprache English |
Lehrende Andrea Herrmann |
Prüfungsschema |
| Lernziele | The students - know advanced software engineering techniques which support decision-making during requirements prioritization, design, management decisions and risk management, - know how to manage knowledge in every day work life and got an introduction into decision theory. |
|
| Lerninhalte | - Knowledge management - Onthologies and Grounded Theory - Reverse engineering, code metrics - Learning organization - Storytelling - Decision-making and decision theory - Management decisions, business case - Risk management - Requirements prioritization - Decision-making in design: ATAM, SAAM, CBAM - Decision-making under uncertainty - Mathematical Economics - Decision-making with several parties: Harvard concept, negotiations, Game Theory - Decision Traps and Biases - Ethical decisions and machine ethics |
|
| Teilnahme- voraus- setzungen |
recommended are: Einführung ins Software Engineering (module ISE) or comparable competences | |
| Vergabe der LP und Modulendnote | The module is completed with a graded (oral or written) examination. The grade of the module is the grade of the examination. Prerequisite for the participation in the exam are 50% of the points for the homework. | |
| Nützliche Literatur | Raiffa, Howard; Richardson, John; Metcalfe, David: Negotiation analysis - the science and art of collaborative decision making, Belknap, Cambridge, 2002 or 2007 | |