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MAF500_1

Deep learning and dissemination in mathematics and physics

This is the study programme for 2019/2020. It is subject to change.


Covers methods for the development of a deep understanding of topics in mathematics and physics through the use of classroom activities and digital resources, with guest lectures on real-world applications of mathematics and physics.

Learning outcome

After completing this subject, students will:
  • have knowledge of and experience with a range of mathematical and scientific processes of thought that are of essential importance in developing a deep understanding of topics in mathematics and science.
  • be able to analyse and develop classroom and digital activities that support the development of mathematical and scientific methods of thought by others.
  • gain experience in written and oral methods of communication of topics in mathematics and science, including critiquing and offering feedback to others.
  • gain knowledge of a wide range of real-world applications of mathematics and physics, thereby being able to make representations on the important role that mathematics and science plays within society.

Contents

This course covers methods for supporting the development of critical thinking skills and problem solving techniques that are necessary to obtain a deep understanding of concepts in mathematics and physics. Emphasis is placed on gaining experience in the communication and dissemination of ideas and arguments in mathematics and physics, in both oral and written forms.
The course consists of three components:
  1. The development and use of exciting and joyful classroom activities to develop problem solving and critical thinking skills in mathematics and physics, through a process of inquisitive exploration, experimentation, and discovery.
  2. The development and use of digital resources in GeoGebra and Desmos to help students gain a deeper understanding of concepts in mathematics and physics.
  3. A series of guest lectures by invited experts about real-world applications of mathematics and physics that are of current and future importance to society.

Required prerequisite knowledge

60 ECTS credits in mathematics/physics/chemistry

Exam

Weight Duration Marks Aid
Report1/1 Pass - Fail
Project report on a suitable topic of the student's choice. The topic must be approved by the lecturer.
If a student fails the course she/he has to repeat the course the next time the subject is lectured.

Coursework requirements

Attendance at classroom activity sessions, Attendance at computer-based sessions, Attendance at guest lectures, Peer feedback report, Oral presentation
Attendance at a minimum of half of the classroom activity sessions (6 sessions or more).
Attendance at a minimum of half of the computer-based sessions (6 sessions or more).
Attendance at a minimum of half of the guest lecture sessions (6 sessions or more).
Peer feedback report on draft version of another student's project report.
Oral presentation of material covered in the project report.

Course teacher(s)

Course coordinator
Tyson Ritter
Head of Department
Bjørn Henrik Auestad

Method of work

Classroom activities, computer lab, guest lectures, project work.

Open to

Open for single course students with a relevant background in mathematics/physics. 

Course assessment

Survey form and/or discussion in class according to established guidelines.

Literature

Mason J, Burton L & Stacey K, Thinking Mathematically, 2nd ed (2010), Pearson
Hall J & Lingefjärd T, Mathematical Modeling: Applications with GeoGebra, 1st ed (2016), Wiley


This is the study programme for 2019/2020. It is subject to change.

Sist oppdatert: 13.11.2019

History