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Module 9: Synthesis and Quest
Last Updated: 2026-02-05 16:30:17
Abstract
In this last CAS module, we bring the previous modules into a systemic context with the individual students’ Quest projects. We recap the content of the other modules and synthesize the learnings through systems mapping and visual dialogues. This involves the overall relationship with the DRRS program and the specific Quest contexts. This module is also about mentoring the CAS deliverables.
Objective
The learning goals are to summarize and reflect on what was learned from the last modules, relate them to each other, and integrate them with the development of the personal Quest project. The taught methods, the navigation techniques, and cultures will be reflected upon and tied to the specific needs for advancing the Quests, and for being able to develop the CAS deliverable. The role and application of AI are also among the specific learning goals in this module. We encourage further learning and practice of methods and discuss avenues to do so, again specific to one’s own Quest, interests, and needs. Through all modules, the course integrates three high-level domains of learning competencies—cognitive (knowledge-based), affective (emotion-based), and psychomotor (action-based). In other words, the course integrates science and engineering with designerly techniques and approaches, through systems thinking and sensing, building metacognition as of self- and process-awareness, relating these through embodied practices to place-specific real-world challenges in complex systems, accompanying the learning process with an inner development lens — interconnected with the individual Quest projects of the participants. The rapidly developing applications of AI with positive and potentially critical impacts and side effects are intrinsic part of the learning goals, as is the integration of “warm” data, such as intuition. The learning objective assessment starts with the preceding MOOC and its final multiple-choice quiz. To pass the MOOC, 70 percent of the questions must be answered correctly across all modules. During the CAS, active attendance in the live sessions with experts is required for each module. In addition, the Quest’s progress is monitored continuously in the peer-learning process and through individual discussions with the lecturers. Students are asked to contribute at least once per week during the course to the DRRS virtual community on Mighty Networks with internal-public sharing, commenting, or liking. The final learning and progress assessment step is submitting a Quest delivery, which - through all three DRRS CAS’ - builds the base for the Master design thesis, for those taking the full MAS in Regenerative Systems programme.
Content
This closing CAS module is about bringing the previous modules into a systemic context with the individual students’ Quest projects. This includes recapping the content of the other modules and synthesizing the learnings through systems mapping and visual dialogues. We develop specific module summaries in relation to the DRRS programme and the specific Quest contexts. The CAS deliverables process has started, and we begin to mentor peer processes and individual work.
General Information
- Language
- English
- Levels
- WBZ
- Frequency
- Every two years
Examination
- Type
- ungraded semester performance
Registration & Places
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Module 9: Synthesis and Quest | No time listed | 28 h semesterly |
Offered In
-
CAS in Regenerative Systems: Systemic Design (Offered only in the Autumn Semester (two-yearly).)