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| Title |
Sustainable Use of Biological Systems
|
| Semester |
E2025
|
| Master programme in |
Environmental Science / Mathematical Bioscience
|
| Type of activity |
Course |
| Mandatory or elective |
Elective |
| Teaching language |
English
|
| Study regulation | |
| REGISTRATION AND STUDY ADMINISTRATIVE | |
| Registration |
Sign up for study activities at STADS Online Student Service within the announced registration period, as you can see on the Study administration homepage. When signing up for study activities, please be aware of potential conflicts between study activities or exam dates. The planning of activities at Roskilde University is based on the recommended study programs which do not overlap. However, if you choose optional courses and/or study plans that goes beyond the recommended study programs, an overlap of lectures or exam dates may occur depending on which courses you choose. |
| Number of participants |
The Master Programme/Institute reserves the right to cancel the course if fewer than 8 studentes are registered for the course. |
| ECTS |
5
|
| Responsible for the activity |
Per Meyer Jepsen (pmjepsen@ruc.dk)
|
| Head of study |
Per Meyer Jepsen (pmjepsen@ruc.dk)
|
| Teachers |
|
| Study administration |
INM Registration & Exams (inm-exams@ruc.dk)
|
| Exam code(s) |
U60095
|
| ACADEMIC CONTENT | |
| Overall objective |
This is a theoretical course (containing lectures, class-room exercises and student presentations) in applied ecology that will highlight the methods and challenges related to modern biological production and sustainable exploitation of natural populations. The course integrate elements of animal and plant physiology, population biology, sustainability theory, bioprocess science and social science to solve applied research questions in relation to the exploitation and management of plant and animal populations. |
| Detailed description of content |
A theoretical course in applied ecology related to modern biological production and sustainable exploitation of natural populations. The course aims to integrate elements of physiology, population biology, sustainability theory, bioprocess science and social science to solve applied research questions in relation to the exploitation and management of plant and animal populations. |
| Course material and reading list |
Syllabus and reading material will be announced on Moodle ahead of the course. |
| Overall plan and expected work effort |
Overall plan and expected work effort: The course consists of 18 lectures/exercises, each 2 hours (=2*45 minutes). Two of the lectures are optional and will only be used if some subjects require extra attention and/or if we have had to cancel previous lectures. The course is a 5 ETCS credit course, corresponding to an expected student work-load of 135 hours.
|
| Format |
|
| Evaluation and feedback |
The course includes formative evaluation based on dialogue between the students and the teacher(s). Students are expected to provide constructive critique, feedback and viewpoints during the course if it is needed for the course to have better quality. Every other year at the end of the course, there will also be an evaluation through a questionnaire in SurveyXact. The Study Board will handle all evaluations along with any comments from the course responsible teacher. Furthermore, students can, in accordance with RUCs ‘feel free to state your views’ strategy through their representatives at the study board, send evaluations, comments or insights form the course to the study board during or after the course. |
| Programme |
A theoretical course in applied ecology related to modern biological production and sustainable exploitation of natural populations. The course aims to integrate elements of physiology, population biology, sustainability theory, bioprocess science and social science to solve applied research questions in relation to the exploitation and management of plant and animal populations. Teaching and working method includes, lectures, small laboratory demonstrations, student presentations, classroom discussions and problem-solving exercises. |
| ASSESSMENT | |
| Overall learning outcomes |
After completing the course, student will be able to:
|
| Prerequisites |
|
| Form of examination |
Individual portfolio exam
The character limit of the portfolio is 24,000-48,000 characters, including spaces. Examples of written products are exercise responses, talking points for presentations, written feedback, reflections, written assignments. The preparation of the products may be subject to time limits. The character limits include the cover, table of contents, bibliography, figures and other illustrations, but exclude appendices. The portfolio is written completely or partially during the course. The entire portfolio must be handed in at the same time. Assessment: 7-point grading scale |
| Form of Re-examination |
Samme som ordinær eksamen / same form as ordinary exam
|
| Type of examination in special cases |
|
| Examination and assessment criteria (implemented) |
Individual portfolio exam: the portfolio consists of 3-5 written products. The assignments are given feedback during the course, and are evaluated in total at the end. Assesment criteria: - demonstrate knowledge of the conceptual world, mindsets, reasoning, and applications of bioproduction
Regarding the use of generative AI at the exam In this course, generative AI tools (GAI) are allowed in the work on the exam if their use is declared. You must clearly indicate how you have used generative artificial intelligence (GAI). This can, for example, be included as part of a methodology section or as a brief statement at the end of your exam paper or submitted as an appendix to your assignment. This means that you must describe how you have used GAI, for example, for preparatory work on the assignment, to ask questions, search and process information, receive feedback and critique on your text, perform proofreading, or improve language and readability. It is important that you actively consider your choice of tools in this way, as it is part of the entire creation process of the assignment and thus part of your scientific method and academic communication. The use of any specific text that is GAI-generated requires citation, just like the use of any other sources from which direct quotes are taken. In the library's guide, you can see more about how to cite AI and how you can declare your use of GAI - find the guide here. Regular spell check and other language suggestions, as known from Word or other word processing programs, as well as programs for writing minutes and transcription, are allowed in all written exams and do not need to be declared. |
| Exam code(s) | |
| Last changed | 23/10/2025 |
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