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| Title |
Preparation and Testing of Biopharmaceuticals
|
| Semester |
F2026
|
| Master programme in |
Chemical Biology / Molecular Health Science
|
| Type of activity |
Laboratory Course |
| Mandatory or elective |
Elective |
| 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 |
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 |
Håvard Jenssen (jenssen@ruc.dk)
|
| Head of study |
Lotte Jelsbak (ljelsbak@ruc.dk)
|
| Teachers |
|
| Study administration |
INM Studieadministration (inm-studieadministration@ruc.dk)
|
| Exam code(s) |
U60588
|
| ACADEMIC CONTENT | |
| Overall objective |
The purpose of the course is to teach the students synthesis approaches and make them able to choose suitable methods for peptide separation and analysis. Allow them to identify critical steps in peptide synthesis through analysis and/or develop interdisciplinary approach in drug development. The course is a mixture of practical exercises and workshop/lecture confrontation. |
| Detailed description of content |
Thematic session in peptide chemistry and drug design, will be covered with lectures, workshop and lab sessions. |
| Course material and Reading list |
The curriculum will be made available on moodle |
| Overall plan and expected work effort |
- total 135 hrs The courses are each 5 ECTS and are case based. It is intended to have a total of 36 teaching hours and 1 extra slot each for introduction and preparation of the exam. So a total of 41 hours. |
| 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 |
The first lecture is a 2 hour introduction to the course and a brief overview of the different cases and how the course is structured and the exam is planned. In week 2 the idea is to introduce a theoretical background of the first case and prepare the students for practical work that are related to the case in the coming 4 hours of practical work which could be a presentation of papers or start a lab. Therefore, we always start with a theoretical background (2 hours) and then we apply our knowledge in a hands on exercise (4 hours). We use two weeks for each case, and a total of 3 cases. |
| ASSESSMENT | |
| Overall learning outcomes |
After completing the course, the students will be able to:
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| Prerequisites |
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| Form of examination |
Active, regular attendance, and satisfactory participation
Active participation is defined as: The student must participate in course-related activities (e.g., workshops, seminars, field excursions, process study groups, working conferences, supervision groups, and feedback sessions). Regular attendance is defined as: - The student must be present for a minimum of 75 percentof the experimental/practical parts of the course with the developed analysis and interpretation of data.. Satisfactory participation is defined as: - e.g., oral presentations (individually or in a group), peer reviews, mini projects, tests, and planning of a course session. Assessment: Pass/Fail |
| Form of Re-examination |
Individual oral exam with time for preparation
Time for preparation including time to pick a question by drawing lots: 2 days. Time allowed for the exam including time used for assessment: 20 minutes. Permitted support and preparation materials: All. Assessment: Pass/Fail Moderation: Internal co-assessor. |
| Type of examination in special cases |
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| Examination and assessment criteria (implemented) |
Ordinary exam Active participation is defined as:
Satisfactory participation is defined as:
Assesment criteria: to which degree the student is able 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. 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. Re-exam The assessment of the oral exam is based on the student’s ability to meet the criteria mentioned above and their ability to
Regarding the use of generative AI at the reexam In this course, the use of generative artificial intelligence (GAI) is not allowed, not for written product(s) and not for any given fixed preparation time in connection with the oral exam and not during the oral exam. 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. Read more about the Roskilde University's framework and guidelines for artificial intelligence here and to use GAI here: https://libguides.ruc.dk/AI. |
| Exam code(s) | |
| Last changed | 02/12/2025 |
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