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Experimental Biotechnology

Title
Experimental Biotechnology
Semester
E2025
Master programme in
Molecular Health Science / Chemical Biology
Type of activity

Laboratory Course

Mandatory or elective

Mandatory

Teaching language
English
Study regulation

Read about the Master Programme and find the Study Regulations at ruc.dk

Læs mere om uddannelsen og find din studieordning på ruc.dk

REGISTRATION AND STUDY ADMINISTRATIVE
Registration

Sign up for study activities at stads selvbetjeningwithin 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

Please note this course have a limit of max. 36 students.

ECTS
5
Responsible for the activity
Håvard Jenssen (jenssen@ruc.dk)
Head of study
Lotte Jelsbak (ljelsbak@ruc.dk)
Teachers
Study administration
INM Registration & Exams (inm-exams@ruc.dk)
Exam code(s)
U60044
ACADEMIC CONTENT
Overall objective

The purpose of the course is to teach the students experimental approaches within DNA and protein technology that gives students insight into the function and regulation of genes and gene products. The students will be introduced to various methods that are used in contemporary molecular biology research.

Detailed description of content

A practical course in DNA and protein technology that gives students insight into the function and regulation of genes and gene products.

Introduction to various methods that are used in contemporary molecular biology research.

Course material and Reading list

Course manual on Moodle. The course manual must be printed out before the start of the course, and the students must bring their own lab coat for the course.

Overall plan and expected work effort
  • lectures 5 hrs

  • student presentations 5 hrs

  • practical exercises 60 hrs

  • report writing 40 hrs

  • preparation 25 hrs

  • Oral exam 0,25 hr

- total 135 hrs

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
ASSESSMENT
Overall learning outcomes

After completing the course, the students will be able to:

  • develop methods for isolating, characterising and modifying genes and gene products

  • analyse the properties of genes and proteins, and their application in biotechnological processes

  • develop a plan and completing experimental work based on standard protocols

  • develop good laboratory practice and composition of a tidy and well organized laboratory journal

  • use digital programs to analyse the data that has been acquired

  • plan, complete and analyse assigned experiments using methods in gene and protein technology

  • analyse complex data structures with relevant mathematical and statistical models/programs.

Prerequisites
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
Examination and assessment criteria (implemented)

Ordinary exam: Satisfactory participation is defined as: The student must complete 2 lab reports and get them approved. Assessment criteria: - The candidate will be assessed in his/her general understanding of the methodologies used in the lab, and interpretation and analysis of the individual findings outlined in the lab reports. - This work may also include use of digital programs to analyse the data that has been acquired and analysis of complex data structures with relevant mathematical and statistical models/programs.

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.

Re-exam: The individual oral exam starts with a presentation of the finding of the reports. The students draw lots between the two reports. Students who have not handed in reports during the course will by drawing lot receive a data set with question that forms the basis for the oral exam.

The assessment criteria: - his/her general understanding of the methodologies used in the lab, and interpretation and analysis of the individual findings outlined in the lab reports.

  • use of digital programs to analyse the data that has been acquired and analysis of complex data structures with relevant mathematical and statistical models/programs.

  • clearly present and communicate the scientific content of the reports

  • engage in a scientific dialoged and discussion with the assessors

Exam code(s)
Exam code(s) : U60044
Last changed 23/10/2025

lecture list:

Show lessons for Subclass: 1 Find calendar (1) PDF for print (1)

Thursday 04-12-2025 12:15 - 04-12-2025 16:00 in week 49
Experimental Biotechnology
Introduction

Thursday 11-12-2025 08:15 - 11-12-2025 16:00 in week 50
Experimental Biotechnology
-

Friday 12-12-2025 08:15 - 12-12-2025 16:00 in week 50
Experimental Biotechnology
-

Monday 15-12-2025 08:15 - 15-12-2025 16:00 in week 51
Experimental Biotechnology
-

Tuesday 16-12-2025 08:15 - 16-12-2025 16:00 in week 51
Experimental Biotechnology
-

Wednesday 17-12-2025 08:15 - 17-12-2025 16:00 in week 51
Experimental Biotechnology
-

Wednesday 21-01-2026 08:15 - 21-01-2026 16:00 in week 04
Experimental Biotechnology
-

Thursday 22-01-2026 08:15 - 22-01-2026 16:00 in week 04
Experimental Biotechnology
-

Friday 23-01-2026 08:15 - 23-01-2026 16:00 in week 04
Experimental Biotechnology
-

Monday 26-01-2026 08:15 - 26-01-2026 16:00 in week 05
Experimental Biotechnology
-

Tuesday 27-01-2026 08:15 - 27-01-2026 16:00 in week 05
Experimental Biotechnology
-

Monday 23-02-2026 08:15 - 23-02-2026 16:00 in week 09
Experimental Biotechnology
Reexam