Modules

In the current semester, the Department of Mathematical Modeling and Machine Learning offers the following statistics modules for the minor study program. This list includes required modules, core elective modules and some elective modules. A more detailed list of elective modules can be found here.

HS 25
ModuleTitel/WeekdayTimeRoom
MAT892Applied Bayesian Modeling and Computation
Fr13.00-16.00Y27H12
 
STA110Introduction to Probability
Mo13.00-14.45Y35F51
 
STA110Exercises Introduction to Probability
Mo15.00-15.45Y03G91
Mo15.00-15.45Y35F51
 
STA120Introduction to Statistics
Di10.15-12.00Y15G20
 
STA120Exercises Introduction to Statistics
Y03-G-91 & Y27-H12 & Y27H25 & Y27H28
 
STA402Exercise Likelihood and Regression I
Mi10.15-11.00Y27H46
 
STA402Exercise Likelihood and Regression I
Mi10.15-11.00Y27H46
 
STA402Exercise Likelihood and Regression I
Mi10.15-11.00Y27H46
 
STA402Self Study Likelihood and Regression I
Mi11.00-14.00n.n.
 
STA402Self Study Likelihood and Regression I
Mi11.00-14.00n.n.
 
STA402Practicum Likelihood and Regression I
Mi14.15-15.00HIT E03 (UZH)
 
STA406Likelihood and Regression II
Di08.00-09.45Y27H46
1. Semesterhälfte
 
STA406Exercises Likelihood and Regression II
Di10.00-11.00Y27H46
 
STA406Exercises Likelihood and Regression II
Di10.00-11.00Y27H46
 
STA406Exercises Likelihood and Regression II
Di10.00-11.00Y27H46
 
STA406Self Study Likelihood and Regression II
Di11.00-14.00n.n.
 
STA406Self Study Likelihood and Regression II
Di11.00-14.00n.n.
 
STA406Practical Likelihood and Regression II
Di14.00-15.00n.n.