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Exercise Sheet B & Office Hour Wednesday

Written on 06.05.24 by Felix Jahn

Dear students,

we just published the second exercise sheet in the Materials section of the Statistics Lab CMS.
The sheet is due May 13, 12 pm and can be submitted via the CMS.

Please keep in mind that, due to a public holiday on this Thursday, we will have no tutorials in this week.
Instead,… Read more

Dear students,

we just published the second exercise sheet in the Materials section of the Statistics Lab CMS.
The sheet is due May 13, 12 pm and can be submitted via the CMS.

Please keep in mind that, due to a public holiday on this Thursday, we will have no tutorials in this week.
Instead, there will be an office hour on Wednesday, which will take place in E1.1, SR 1.21.
We look forward to seeing you there.

Kind regards,
the Statistics Lab team.

Minitest inspections

Written on 03.05.24 by Emilia Ellsiepen

Dear student,

it will be possible to inspect minitest 1 and minitest 2 within your regular tutorial session in the week of May 13, during the last 20 minutes of the regular tutorial slot.

The inspection of minitests 3 and 4 will take place similarly in the tutorial sessions in the week of June… Read more

Dear student,

it will be possible to inspect minitest 1 and minitest 2 within your regular tutorial session in the week of May 13, during the last 20 minutes of the regular tutorial slot.

The inspection of minitests 3 and 4 will take place similarly in the tutorial sessions in the week of June 3, and minitest 5 can be inspected in the week of June 17.

Best wishes,

Emilia

Exercise Sheet A

Written on 29.04.24 by Joschka Groß

Dear students,

we just published the first exercise sheet in the Materials section of the Statistics Lab CMS.

The sheet is due May 6, 12 pm and can be submitted via the CMS.

Kind regards,
the Statistics Lab team.

Team groupings

Written on 29.04.24 (last change on 29.04.24) by Emilia Ellsiepen

We have completed the team grouping. Everybody who indicated their interest of taking the course for credit by joining or creating a team should have ended up in a group of 3-4 students now.

Please note that you can only hand in exercise sheets as part of a team, not individually. If you intend to… Read more

We have completed the team grouping. Everybody who indicated their interest of taking the course for credit by joining or creating a team should have ended up in a group of 3-4 students now.

Please note that you can only hand in exercise sheets as part of a team, not individually. If you intend to take the course for credit, but did not join or create a team, please immediately contact emilia@lst.uni-saarland.de. We will try to add you to an existing team.

If during the course of the semester somebody from your team drops out resulting in a teamsize < 3, you may contact us and we will try to merge you with another group.

Teams for exercises

Written on 24.04.24 (last change on 25.04.24) by Emilia Ellsiepen

The first exercise sheet will be published next Monday and it has to be solved in a group of 3-4 students. Many of you have already found a team, but a lot of you have not. Please take the opportunity in this week's tutorials to find team mates as although it is not required to be in the same… Read more

If you did not find a team yet but are planning to take the course for credit, please create a team for yourself - this way, we know who needs to be grouped. We will merge existing groups next Monday.

Tutorial assignment

Written on 23.04.24 (last change on 24.04.24) by Emilia Ellsiepen

The tutorial assignment is completed and the first tutorials will take place this week.

If you have a conflict with the tutorial slot you were assigned, please get in touch with emilia@lst.uni-saarland.de. Please note that this only applies to actual conflicts and not preferences for a different slot.

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Course Goals

This course serves as an introduction to the fundamentals of statistics and probability theory and will cover most of the core principles of modern data analysis and predictive modeling.

Topics:

Descriptive Statistics and Visualizations in Python
Probabilities and Discrete Random Variables
Continuous Random Variables and Laws of Large Numbers
Parameter Estimation
Statistical Testing
Computer Simulations and Monte Carlo Methods
Stochastic Processes

Lecture Modalities:

Weekly recorded on-site lecture (Mo. 8:30-10 am, not on April 15th). Video course and lecture notes as supplementary online resources.
First three weeks of term only: Additional recorded on-site lecture (Tue. 8:30-10 am). The first lecture is on April 16th.
Written on-site exam on the 8th of July, 8:00-10:00
Written minitests administered in the lecture every second session
Graded exercise sheets to be prepared in groups of 3-4 students
Students are invited to form groups until April 28. All registered students that have not found a group will be assigned a group on April 29.
Exam admission is tied to achieving a total score of at least 50% for a combined score on minitests and exercise sheets (2/3 minitests, 1/3 exercise sheets)
Exam bonus for students that score >90% on the combined score
On-site tutorials (Thu 8:30-10am, Thu 10:15am-12pm, Thu 14:15-15:45pm or Fri 14:15-15:45)

Registration

The registration for this course is open from April 15, 8:30am to April 19, 11:59pm. When registering you will have to state your preferences regarding the time of your tutorial as well as your preferred language. Adapted to your demand, we will offer tutorials in German, English and bilingual, where the main language is English, but questions may also be asked in German.

General Information

The first lecture will take place on Tuesday the 16th of April at 8:30 am (GHH lecture hall).
for organizational questions, please contact Emilia Ellsiepen