Mathematical Modeling Colloquium

Uitgebreide vaknaam	Mathematical Modeling Colloquium
Leerdoelen	- the student is able to work out a suitable mathematical topic by him/herself with some help from a staff member - the student is able to give a professional oral presentation on a mathematical topic - the student is able to use appropriate software for preparing slides - the student is able to answer questions by others concerning his/her presentation - critically reflects on his/her presentation taking into account the feedback of the peer students - the student is able to give critical feedback to presentations of others
Omschrijving	In this course the students learn to work out independently and talk about a subject concerning how mathematics is used in problem solving in other disciplines and/or environments. Subjects and references will be provided by staff members in mathematics and applied mathematics and reflect the full breadth of the research in the research groups in mathematics and applied mathematics. Each student will choose one subject in the first lecture. The student works out the chosen subject and gives an oral presentation on the subject. Moreover each student has to chair the presentation of a fellow student. During the preparation of the presentation the students can contact the staff member who provided the subject for questions. The oral presentations take 30 minutes plus 5 minutes for questions from the audience concerning the scientific contents plus 10 minutes for feedback. The feedback will be given orally and by feedback forms filled in by the peer students. The chair has to conduct the 15 minutes of questions and feedback after each presentation. The chair moreover has to write a summary of maximally two pages of the oral feedback given by the peers including his/her own views and provide the presenter and the coordinators with this summary. The presenter has to write a reflection on how his/her talk went taking into account also the summary of the chair. The coordinators collect the feedback forms and use the results together with their own assessment to fill in one feedback form including the final grade for the presentation. The feedback form is then given to the presenting student (a copy will be kept for the files. The presentations start no earlier than in week 3 of the course. In the first lecture the feedback forms will be shown to the students and the criteria for the assessment will be explained. The active attendance of the presentations counts toward the final grade (see assessment).
Uren per week
Onderwijsvorm	Bijeenkomst (S), Hoorcollege (LC) (One lecture about giving a presentation. Mandatory attendance.)
Toetsvorm	Opdracht (AST), Presentatie (P) (The final grade = 0.7 grade for the presentation + 0.1 grade for the written feedback as chair + 0.1 grade for the written reflection on the presentation taking into account the feedback by the fellow students and chair + 0.1 grade for active attendance. To pass the course the student needs a final grade of at least 6 and a grade for the presentation of at least 5.5.)
Vaksoort	master
Coördinator	prof. dr. T. Müller
Docent(en)	G. Li, PhD. ,prof. dr. T. Müller ,prof. dr. H. Waalkens , A.M.S. Waters, PhD.
Entreevoorwaarden
Opmerkingen	The course trains presentation skills in general and which are in particular relevant for the presentation of the master project. This course was registered last year with course code WMMA16001
Opgenomen in	Opleiding Jaar Periode Type MSc Applied Mathematics: Computational Mathematics  ( MSc Applied Mathematics: Computational Mathematics ) - semester II b verplicht MSc Applied Mathematics: Systems and Control  (MSc Applied Mathematics: Systems and Control) - semester II b verplicht MSc Courses for Exchange Students: AI - Computing Science - Mathematics - semester II b MSc Mathematics and Physics (double degree)  (Mathematics and Complex Dynamical Systems (40 ects)) - semester II b verplicht MSc Mathematics: Mathematics and Complex Dynamical Systems - semester II b verplicht MSc Mathematics: Statistics and Big Data  (MSc Mathematics: Statistics and Big Data) - semester II b verplicht