PHY231 Data Analysis I

Content delivery and attendance

The situation can rapidly change so please keep up to date with the latest information. The following was up-to-date on 17th September.

Due to the pandemic, the course delivery will be different this year compared to last time.

Lectures: It is planned to have students on site for live lectures. The lectures will also be simultaneously broadcast via Zoom* for those who cannot or do not wish to attend in person.

Exercises: There are two rooms available for exercise classes in python. The places will be decided on a first-come-first-serve basis but there should be enough space for everyone.

Zoom details: 

Time: This is a recurring meeting Meet anytime

Meeting ID: 955 2515 1670

Passcode: Communicated via email


The course will be graded 1-6. With 50% of the grade from exercise sheets and another 50% from a test given in the middle of the course. The requirements to pass the course will be to get at least 50% of the marks from the exercise sheets and at least 50% of the marks in the exam.

Midterm test (16th November at 15:00 in Y36 J 23 and Y36 J 33):

 * The midterm test is worth 50% of the overall grade

 * It is based on the first eight lectures.

 * There will be a formula sheet which will be shared beforehand this formula sheet is provided as part of the exam.

 * Apart from the formula sheet, the test is closed book. 

 * A calculator is allowed to be used during the exam (but likely not needed).

 * The midterm test will be in person with a COVID certificate required for presence. 


Patrick Owen

Vadym Denysenko / Jonas Eschle / Yuta Takahashi


Lectures: Tuesdays 09:00 to 09:45 in Y16 G 05
Exercises: Tuesdays 15:00 to 17:00 in Y36 J 23 und Y36 J 33


Patrick Owen: Y36 J 22 (044 63) 55817  
Yuta Takahashi Y36 J 78 (044 63) 55817 \
Vadym Denysenko: Y36 J 24 (044 63) 55779
Jonas Eschle: Y36 J 24 (044 63) 55779 /