| Title |
Experiments and Models – Linear Response: Structure and Dynamics of Condensed Matter.
|
| Semester |
E2025
|
| Master programme in |
Physics and Scientific Modelling
|
| Type of activity |
Course |
| Mandatory or elective |
Mandatory |
| 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 |
10
|
| Responsible for the activity |
Kristine Niss (kniss@ruc.dk)
|
| Head of study |
Nicholas Bailey (nbailey@ruc.dk)
|
| Teachers |
|
| Study administration |
INM Registration & Exams (inm-exams@ruc.dk)
|
| Exam code(s) |
U60191
|
| ACADEMIC CONTENT | |
| Overall objective |
The course in Experiments and Models is intended to train the student’s skills to conduct experiments, treat data and construct models for physical systems. The students will acquire exemplary knowledge on the interplay between theory, models and experiments and learn to bring them into play in a concrete context. |
| Detailed description of content |
The thematic focus in this course is on experimental methods and models of dynamics and structure of materials, particularly liquids and soft matter. |
| Course material and Reading list |
Fundamentals of Condensed Matter and Chrystalline Physics - by David L. Sidebottom, Cambridge University Press The course material will be a mixture of notes, lab-instructions and textbook material. The pensum will be specified on the moodle-page of the course. |
| Overall plan and expected work effort |
The expected work effort of the students is approximately 270 hours. The hours are distributed between different activities. The times indicated here are estimates.
|
| 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 |
The first part of the course focuses on dynamical properties of materials. A key part of the course is Electric circuit analogies used as a tool to visualize and model simple linear differential equations describing fundamental properties of materials. This part of the course includes two experiments which are performed by all students (in small groups) and The second part of the course deals with structure of materials and basic scattering theory. In the third part of the course students perform a larger experiment in small groups. The experiment will be within the field of structure and dynamics of amorphous and soft matter. Details of the plan will be on the course Moodle-page. |
| ASSESSMENT | |
| Overall learning outcomes |
After completing the course the students will be able to
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| Prerequisites |
|
| 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 |
|
| Examination and assessment criteria (implemented) |
The exam starts with a short presentation by the student on a selected experiment and is followed by questions and discussions which may cover all parts of the curriculum. The student will be evaluated on their ability to
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 |