News
Evaluation of tutorial formatWritten on 18.12.24 (last change on 18.12.24) by Emilia Ellsiepen As we have changed the format of the tutorials and admission criteria this year, we would love to get your opinion on that. For completeness, it would be helpful, if many of you could answer it, even if you are no longer following the course (or never did). This is not the official qualis… Read more As we have changed the format of the tutorials and admission criteria this year, we would love to get your opinion on that. For completeness, it would be helpful, if many of you could answer it, even if you are no longer following the course (or never did). This is not the official qualis evaluation, but more targeted at our specific adjustments. https://forms.gle/G6Q3SynJPiDAQDce9 |
No lecture this week, office hoursWritten on 11.11.24 (last change on 11.11.24) by Emilia Ellsiepen There will be no lecture this week, no tutorial sessions and no homework sheets. We do offer two office hours, which you are welcome to visit to discuss any open questions with regard to lecture content or homework/class sheet exercise. There will be no lecture this week, no tutorial sessions and no homework sheets. We do offer two office hours, which you are welcome to visit to discuss any open questions with regard to lecture content or homework/class sheet exercise. office hours: Friday 12:00-13:00 in SR 014 Friday 14:00-15:00 in SR 107 Please note, that you can also find this information in the timetabel on cms. |
Assignments and TeamsWritten on 31.10.24 (last change on 31.10.24) by Emilia Ellsiepen Since we still have a lot of fluctuation, it is ok this week to work with students from other groups, that you have worked with during last week's tutorial. The maximum number of students allowed to work together is 4! Please make sure to put the names of ALL students that collaborated on the top of… Read more Since we still have a lot of fluctuation, it is ok this week to work with students from other groups, that you have worked with during last week's tutorial. The maximum number of students allowed to work together is 4! Please make sure to put the names of ALL students that collaborated on the top of the homework sheet. Also, make sure that you upload the solution for all official AssignmentTeams that were involved, e.g. Student 1&2 from AssignmentTeam #75 work with student 3 from AssignmentTeam #85 (the other students from these AssignmentTeams were not in the Tutorial and/or did not react to emails). The top of the homework sheet has the names of students 1,2, and 3 and states that they are from different AssignmentTeams. Student 1 uploads the solution for Team #75 and student 3 uploads the identical solution for Team #85. We will hopefully finalize Teams in the coming week during tutorials, so make sure to tell your tutor in case you can't make it, but still wish to remain part of your team. Best wishes and enjoy the holiday tomorrow, the StatR team |
office hours this weekWritten on 28.10.24 (last change on 28.10.24) by Emilia Ellsiepen Due to the public holiday on Friday, there will be no tutorial sessions and no class sheet this week. There is a homework sheet that has to be submitted on Saturday. We offer two office hours on Thursday (9:00 and 10:00 in SR 107). Please come there if you have questions regarding the homework… Read more Due to the public holiday on Friday, there will be no tutorial sessions and no class sheet this week. There is a homework sheet that has to be submitted on Saturday. We offer two office hours on Thursday (9:00 and 10:00 in SR 107). Please come there if you have questions regarding the homework sheet or the lecture. Next week, we will resume with tutorials as normal. Please note, that you can also find this information in the timetabel on cms. |
Assignment groupsWritten on 21.10.24 (last change on 21.10.24) by Emilia Ellsiepen We have grouped all remaining students. If you do NOT wish to submit assignments, please drop me a line and I will remove you from your current group. Also, please get in touch if you have admission to the exam already. We will check your status and remove you from assignment groups (you are of… Read more We have grouped all remaining students. If you do NOT wish to submit assignments, please drop me a line and I will remove you from your current group. Also, please get in touch if you have admission to the exam already. We will check your status and remove you from assignment groups (you are of course welcome to work on assignments individually, but you don't need to hand them in). |
first tutorial sessionsWritten on 16.10.24 (last change on 21.10.24) by Emilia Ellsiepen We have assign all students to their tutorials. This week, there will be some time to form groups within the tutorial sessions, so don't worry, if you have not yet found a team. Students that have to miss this week's session will be added to existing groups by us later. |
first lecture is on Oct 15th!Written on 12.10.24 by Vera Demberg Dear students, the first lecture of this course will take place on Tuesday Oct 15th! Please don't miss it! Also, make sure that you have signed up for CMS and tutorials on time (before 4pm on Oct 15th) - the tutorial assignment will be done on the evening of Tues 15th. Vera Demberg |
Lecture with tutorials
held by: Prof. Vera Demberg
Location: Geb. E2 2 - Hörsaal 0.01 (Günter-Hotz-Hörsaal)
Lecture: Tuesdays, starting on 15.10.2024 at 08.30 -10.00 a.m.
Tutorials: Thursdays 8:30-10:00, Thursdays 10:15-11:45, Fridays 12:15-13:45 OR Fridays 14:15-15:45
Exam: February 10, 8:30-10:00
Re-sit exam: April 1, 8:30-10:00
suitable for: B.Sc. / M.Sc.
There are 3 kinds of exercises: datacamp courses, class sheets and homework sheets.
DataCamp exercises will be given each week, access will be available for you after signing up (see Materials section for details). Only few of them are obligatory, the rest is an offer to you to get additional practise.
The first obligatory datacamp assignment is due already by the end of the first week! Make sure to register on datacamp and download and install R on your computer as indicated under materials before the first tutorial session.
For the class sheets and the homework sheets you will work together in assignment groups of 3 students. The students have to be in the same tutorial, as class sheets are worked on in the tutorials. You can form assignment groups in the first tutorial session, so make sure to attend the tutorial in the first week (we will assign your tutorial Tuesday night)
The class sheets have to be solved within the first part of each tutorial session in your assignment group. Only group members that were present will receive credit for it. When solving the class sheet, you will be able to ask questions and get feedback from the tutor. Class sheets can involve programming exercises (please bring a computer to the tutorial!) or pen-and-paper exercises.
The homework sheets will be available on this site each week after the lecture. They are always due on Saturday night. You have to solve them in the same assignment group as the class sheet.
To be admitted to the exam:
- DataCamp: you need to do all obligatory DataCamp exercises on time.
- class sheets (PDFs or R files): you can miss or fail 2 complete sheets without excuses. If you are ill and have to miss more sheets, please contact us.
- homework sheets (PDFs or R files): you can miss or fail 1 complete sheet without excuses. If you are ill and have to miss more sheets, please contact us.
A whole sheet is counted as completed only if you made a good attempt to solve each question or if you at least formulated why you couldn't solve it and what you have tried.
We are following two books:
- Learning statistics with R: A tutorial for psychology students and other beginners by Danielle Navarro
- Statistical Methods for Psychology by David C. Howell
If you are retaking the course and have admission to writing the exam already, you do not need to enrol in a tutorial (choose "no tutorial" option). You also do not need to hand in class or homework sheets or complete datacamp courses. You are welcome to attend tutorials.
This class is supported by DataCamp, which allows students to take online classes with automatic code correction for learning R, Python and SQL.
The courses combine short expert videos and hands-on-the-keyboard exercises.