News

Exam Results and Re-Exam

Written on 07.03.18 by Michael Backenköhler

Dear all,

the results of the endterm exam are now online. You have the possibility to improve your result by taking an oral exam. We are offering the following three possible dates:

  • March, 28th, around 10am
  • April, 4th, around 10am
  • April, 6th, around 10am

Please send me an email if… Read more

Dear all,

the results of the endterm exam are now online. You have the possibility to improve your result by taking an oral exam. We are offering the following three possible dates:

  • March, 28th, around 10am
  • April, 4th, around 10am
  • April, 6th, around 10am

Please send me an email if you want to take an oral re-exam.

Best,

Michael

Endterm Date

Written on 01.02.18 by Michael Backenköhler

Dear all,

the endterm exam will take place on February 13th, at 10:00am in E2 1, room 007 (the usual place). Again, you are allowed to bring an A4 page of notes. Furthermore, the exam will contain an overview of the hypothesis tests (similar to the recent exercise sheets). You can find the sheet in… Read more

Dear all,

the endterm exam will take place on February 13th, at 10:00am in E2 1, room 007 (the usual place). Again, you are allowed to bring an A4 page of notes. Furthermore, the exam will contain an overview of the hypothesis tests (similar to the recent exercise sheets). You can find the sheet in the 'Materials' section as 'Reference sheet'.

Regards,

Michael

Endterm Date - Another Doodle

Written on 24.01.18 by Michael Backenköhler

Dear all,

since the proposed week does not work out well, we put up another Doodle for the second week of February. Please fill out the doodle as soon as you can.

Best,

Michael

Endterm Date - Doodle

Written on 22.01.18 by Michael Backenköhler

Dear all,

Please fill out the Doodle for the endterm exam until Wednesday afternoon. Please write me an Email (michael.backenkoehler@uni-saarland.de), if none of the suggestions are feasible for you.
 

Best,

Michael

Endterm Exam

Written on 17.01.18 by Michael Backenköhler

Dear all,

we would like to schedule the endterm exam on February 5th at 10am. Please write me an Email (michael.backenkoehler@uni-saarland.de) if this date inconvenient or impossible for you.

Best,

Michael

Reminder: videos / lecture notes for tomorrow

Written on 02.01.18 by Verena Wolf

Dear all,

 

Happy new year!

Please, do not forget to prepare for the meeting tomorrow. 

 

Kind regards,

 

V. Wolf.

Exam Results

Written on 21.12.17 by Michael Backenköhler

Dear all,

the results of the midterm exam are now online. For an exam inspection you can schedule a meeting or directly come to Room 326 (E 1 3).

Regards

Michael

Midterm Registration

Written on 04.12.17 by Michael Backenköhler

Dear all,

the midterm exam will take place on December, 20th at 12:15. The registration is now open.

You have to register until December, 13th to take part in the exam. The location will be announced after the registration deadline.

Note, that this registration is for course organization… Read more

Dear all,

the midterm exam will take place on December, 20th at 12:15. The registration is now open.

You have to register until December, 13th to take part in the exam. The location will be announced after the registration deadline.

Note, that this registration is for course organization only. It does not include or substitute the LSF registration!

Regards

Michael

Reminder: videos / lecture notes for next ween

Written on 01.12.17 by Verena Wolf

 

Dear all,

The new video playlist has been uploaded on Wednesday as well as an updated version of the lecture notes.  

Please, prepare for the meeting on Dec 6.

Note that after finishing HMMs and the simulation of DTMCs, we now start with the new topic "parameter estimation", which will… Read more

 

Dear all,

The new video playlist has been uploaded on Wednesday as well as an updated version of the lecture notes.  

Please, prepare for the meeting on Dec 6.

Note that after finishing HMMs and the simulation of DTMCs, we now start with the new topic "parameter estimation", which will keep us busy for a couple of weeks!

 

 

Regards,

Verena Wolf.

Video playlist online and lecture notes updated

Written on 23.11.17 by Verena Wolf

Dear all,

The new video playlist has been uploaded yesterday as well as an updated version of the lecture notes.  

Please, prepare for the meeting on Nov 29. The solutions to the exercises will be presented on Nov 28.

Note also that we slightly changed Ex. 4 (not the bonus exercise!) on the… Read more

Dear all,

The new video playlist has been uploaded yesterday as well as an updated version of the lecture notes.  

Please, prepare for the meeting on Nov 29. The solutions to the exercises will be presented on Nov 28.

Note also that we slightly changed Ex. 4 (not the bonus exercise!) on the current exercise sheet.

 

Regards,

Verena Wolf.

Video playlist online and lecture notes updated (now with correct dates)

Written on 15.11.17 (last change on 15.11.17) by Verena Wolf

Dear all,

The new video playlist has been uploaded as well as an updated version of the lecture notes.

Please, prepare for the meeting on Nov 22. The solutions to the exercises will be presented on Nov 21.

 

Regards,

Verena Wolf.

Video playlist online and lecture notes updated

Written on 08.11.17 by Verena Wolf

Dear all,

The new video playlist has been uploaded as well as an updated version of the lecture notes.

Please, prepare for the meeting on Nov 15. The solutions to the exercises will be presented on Nov 14.

 

Regards,

Verena Wolf.

Video playlist online and lecture notes updated

Written on 26.10.17 by Verena Wolf

Dear all,

The new video playlist has been uploaded as well as an updated version of the lecture notes.

Please, prepare for the meeting on Nov 8. The solutions to the exercises will be presented on Nov 7.

 

Regards,

Verena Wolf.

Preparation for next week

Written on 18.10.17 by Verena Wolf

Dear Participants,

Since yesterday we could only do very few exercises, for next Wednesday I prepared a video playlist for you with a duration of only 45 min (the first video is a cut of a longer one that is also in the playlist of the recap). Hence, you have some extra time to solve (at least some… Read more

Dear Participants,

Since yesterday we could only do very few exercises, for next Wednesday I prepared a video playlist for you with a duration of only 45 min (the first video is a cut of a longer one that is also in the playlist of the recap). Hence, you have some extra time to solve (at least some of) the exercises of the sheet that we gave to you yesterday. (Note: Future exercise sheets won't be that long!)

What you should do until next Tuesday:

(1) If you feel that you need to review the things that we discussed yesterday, please watch the recap videos, try to solve at least the easy and medium difficult exercises - maybe also the difficult ones and/or the bonus exercise. 

(2) All of you should watch the playlist for next Wednesday (see Information -> materials) or read the corresponding pages in the lecture notes.

You will get solutions for all exercises (some will be presented by Michael on Tuesday, some by me on Wednesday, all of them will be available for download).

Regards,

Verena Wolf.

 

 

Material for revision

Written on 05.10.17 by Verena Wolf

We have uploaded some material for revision of basic concepts of random variables (see material). If you feel confident with random variables, you might not need to recap this.

Show all

Probabilistic Models and Data Analysis

The aim of this course is to give students of bioinformatics and computer science a solid background in probability and statistics as well as detailed knowledge about computer simulation of stochastic models, parameter estimation and hypothesis testing. Students will also learn how to use software tools such as R and Matlab to analyse data and probabilistic models. This course is a flipped classroom course, which means that the two lecture/tutorial slots will be used for exercises/examples/questions and discussion of the material and participants have to prepare for these slots by either watching videos or reading the lecture notes.

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