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Applied Data Science and Data Visualisation
|Master programme in||
Chemical Biology / Molecular Health Science
|Type of activity||
|REGISTRATION AND STUDY ADMINISTRATIVE|
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||
|Responsible for the activity|
|Head of study||
Lotte Jelsbak (firstname.lastname@example.org)
INM Registration & Exams (email@example.com)
The overall objective of this course is to introduce the concept of data science and visualization of data to enable students within experimental sciences to design, perform, visualize, evaluate, interpret and communicate experiments where many parameters are measured and so called big data experiments (‘omics’ data).
Furthermore, the aim is to provide students with the necessary methodological and data analysis skills to be able to evaluate validity and quality of methods and data related to analysis of large datasets.
|Detailed description of content||
The main aim of the course is to give the student an overview of data science and visualization methods, and experience in choosing and applying data science and visualization methods to scientific problems.
The course consists of lectures combined with exercises, and projects where the students can work on their own data or other data from their own field.
No previous programming experience is required, but students will be expected to learn basic programming (R and Python) during this course.
|Course material and Reading list||
No textbooks are needed, course material will be specified on moodle.
|Overall plan and expected work effort||
Total 135 hrs
|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.
Most classes will begin with a short lecture / introduction to a new concept followed by time for discussion and work with shorter exercises.
Students will then work in pairs to analyze a new data set based on concepts covered in the introduction. Selected groups will then present their data analysis to the class.
The students will write a report for each data set (usually a PowerPoint presentation) where an emphasis should be put explaining the analyses used and the implication of the results and on the visualization of the data.
These reports will be turned in at the end of the class, or before the next class, with the names of the two group members along with code used for the analysis and visualization.
|Overall learning outcomes||
After completing the course, the students will be able to:
|Form of examination||
The course is passed through 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, feedback sessions).
Regular attendance is defined as:
- The student must be present for minimum 75 percent of the lessons.
Satisfactory participation is defined as:
- e.g. oral presentations (individually or in a group), peer reviews, mini projects, test, planning of a course session .
|Form of Re-examination||
Students that have not participated satisfactory must hand in renewed written products.
Students that have only met the requirement of regular attendance between 50% and 75% must hand in an additional written product.
|Type of examination in special cases||
|Examination and assessment criteria||
Participate actively is define as: The student must participate actively in lectures, discussion and problem solving classes. Students may be selected to present their report to the class at the end of a lecture. Active participation means students must present if they are called upon.
Regular attendance is defined as: The student must be present for minimum 75 percent of the lessons.
Satisfactory participation is defined as: The student must write and submit reports (usually a PowerPoint presentation) following every class.
Assesment criteria in relation to satisfactory participation/students will be assessed by their ability to: