Welcome to Fys2160 fall of 2019! We hope that you have an exciting journey through thermal and statistical physics. We promote active learning and engagements from students during lectures and tutorials, so that you as a student will learn the most and have the opportunity to give us feedback on how to improve our teaching.
Active learning and learning assistant traning
Students are encouraged to learn thermal physics by participating in the tutorial sessions dedicated to problem-solvings assigments and discussion forum. Lectures are also structured so that you get the most opportunities to ask questions and engage during lectures. In the group tutorials, you have the opportunity to get individual feedback on your performance.
Teaching program
The course consists of self-study, assignments, group tutorials, lectures, and experimental lab. Lectures will be based on your active participation. We have four group tutorials for solving and discussion of weekly assigments. In two of the tutorials, we implement learning assitant training methods. These are closed groups with a total of 40 students who will be closely monitored throughout the semester. So, if you like the learning assistant help, then hurry up to sign up for these exercise groups. The other two are open groups where any one may participate as desired.
Lectures will focus a lot on the basic concepts in thermal and statistical physics and how the concepts apply in exemplified thermal and statistical systems. Lectures may not cover the entire curriculum - you must make sure that you read the textbook and do assignments.
Tasks and Obligations
In addition to the weekly assignments, there will be 4 compulsory assignments. You must solve and submit each of them before the deadlines. You must have passed at least 3 of the obligatory assignments to qualify for the final written exam.
Laboratory exercises
There are compulsory laboratory exercises as part of the course. Further information about these will come later in the semester.
Numerical computations
In this course we will use numerical computations to build intuition about physical processes and to find solutions. You must be able to write simple scripts in Python / Matlab or your favorite coding language to be able to follow this part of the course.