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| Title |
Dynamical Systems Analysis
|
| Semester |
F2026
|
| Master programme in |
Mathematical Bioscience / Physics and Scientific Modelling
|
| Type of activity |
Course |
| Mandatory or elective |
Mandatory Physics and Scientific Modelling - General Profile: a choice between Differential Equations in Models and Dynamical Systems Analysis. |
| Teaching language |
English
|
| Study regulation | |
| REGISTRATION AND STUDY ADMINISTRATIVE | |
| Registration |
Sign up for study activities at stads selvbetjening within the announced registration period, as you can see on the Studyadministration 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 |
|
| ECTS |
5
|
| Responsible for the activity |
Morten Andersen (moan@ruc.dk)
|
| Head of study |
Jesper Schmidt Hansen (jschmidt@ruc.dk)
|
| Teachers |
|
| Study administration |
INM Registration & Exams (inm-exams@ruc.dk)
|
| Exam code(s) |
U60165
|
| ACADEMIC CONTENT | |
| Overall objective |
The overall objective of the course is to give the student an advanced understanding dynamical systems and how analysis of these are constructed. |
| Detailed description of content |
The course includes examples of dynamical systems (ordinary differential equartions) that arise in physics, chemistry and biology. The focus is on the mathematical analysis and mathematical properties of such dynamical systems. Systems of linear differential equations with constant coefficients are covered in detail, showing important applications of linear algebra. Methodology from analysis I and II is then used extensively for nonlinear systems of differential equations, leading to the proof of the contraction mapping theorem on Banach spaces which is used to prove the existence and uniqueness theorem. The focus is then on the qualitative behaviour of solution trajectories, involving Lyapunov stability and attractors. The expected outcome for the student is a solid mathematical understanding of dynamical systems and their qualitative properties, including stating, proving and contextualize theorems of dynamical systems |
| Course material and Reading list |
The course will have a primary textbook which will be announced on moodle prior to semesterstart. |
| Overall plan and expected work effort |
The teaching format is based on a scientific dialogue between the students and the course teacher, working with exercises, student presentations, etc. The teacher will, of course, highlight relevant points. For the dialogue to be fruitful, the student must prepare for each class; this includes careful reading the text material, finish exercises, and other home work suggested by the teacher. As a rule of thumb, the student should use 1-2 hours of preparation for every hour in class.
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| Format |
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| 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 |
Depending on the specific topic, the teacher, and the student group, the students will engage in a dialogue with the teacher and from this do exercises in groups or individually. The exercises will be based on pure mathematical analysis, computer-aided analysis, discussion in groups, with teacher, and so forth. The themes in this course are: Linear differential equations with constant coefficients, the matrix exponential, phase plane analysis, the contraction mapping theorem, existence and uniqueness theorem of nonlinear ordinary differential equations, definition of flow, Lyapunov stability of equilibria, attractors, applications within physics, biology and chemistry. |
| ASSESSMENT | |
| Overall learning outcomes |
After the course the student will be able to
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| Prerequisites |
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| Form of examination |
Individual oral exam based on a portfolio. The character limit of the portfolio is 1,200-120,000 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 any appendices. Time allowed for exam including time used for assessment: 30 minutes. The assessment is an assessment of the oral examination. The written product(s) is not part of the assessment. Permitted support and preparation materials for the oral exam: All. Assessment: 7-point grading scale. Moderation: Internal co-assessor |
| Form of Re-examination |
Samme som ordinær eksamen / same form as ordinary exam
|
| Type of examination in special cases |
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| Examination and assessment criteria (implemented) |
Individual oral exam based on a portfolio constructed from a mini project and working with known exam questions during the course to build a portfolio for the oral exam. The student begin the exam with a presentation, after the presentation there will be a dialogue between the student, assessor and co-assessor. The assessment criteria of the written part
The assessment of the oral exam is based on the student’s ability to meet the criteria mentioned above and their ability to
Furthermore, whether the performance meets all formal requirements in regard to both for the written og oral exam 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. The use of generative artificial intelligence (GAI) must always take place within the framework of Roskilde University's ‘Guidelines for using generative artificial intelligence in exams’. In the library's guide, you can see more about how to cite AI, how you can declare your use of GAI, and read Roskilde University’s Guidelines - https://libguides.ruc.dk/AI. 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 | 17/11/2025 |
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