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Explicitly align all tables

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Charlotte Van Petegem 2024-02-20 16:27:38 +01:00
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@ -1026,6 +1026,7 @@ We have drastically cut the time we initially spent on mandatory assignments by
#+NAME: tab:usefweworkload
| Task | Estimated workload (hours) |
|-------------------------------------+----------------------------|
| <l> | <r> |
| Lectures | 60 |
|-------------------------------------+----------------------------|
| Mandatory assignments | 540 |
@ -1966,14 +1967,15 @@ Table\nbsp{}[[tab:passfailcoursestatistics]] summarizes some statistics on the c
#+CAPTION: The courses are taken by different student cohorts at different faculties and differ in structure, lecturers and teaching assistants.
#+CAPTION: The number of tries is the average number of solutions submitted by a student per exercise they worked on (i.e. for which the student submitted at least one solution in the course edition).
#+NAME: tab:passfailcoursestatistics
| | year | students | # ex. | solutions | tries | pass rate |
|---+------------+----------+-------+-----------------+-------+-----------|
| A | 2016--2017 | 322 | 60 | 167\thinsp{}675 | 9.56 | 60.86% |
| A | 2017--2018 | 249 | 60 | 125\thinsp{}920 | 9.19 | 61.44% |
| A | 2018--2019 | 307 | 60 | 176\thinsp{}535 | 10.29 | 65.14% |
| B | 2016--2017 | 372 | 138 | 371\thinsp{}891 | 9.10 | 56.72% |
| B | 2017--2018 | 393 | 187 | 407\thinsp{}696 | 7.31 | 60.81% |
| B | 2018--2019 | 437 | 201 | 421\thinsp{}461 | 6.26 | 62.47% |
| | year | students | # ex. | solutions | tries | pass rate |
|-----+------------+----------+-------+-----------------+-------+-----------|
| <l> | <l> | <r> | <r> | <r> | <r> | <r> |
| A | 2016--2017 | 322 | 60 | 167\thinsp{}675 | 9.56 | 60.86% |
| A | 2017--2018 | 249 | 60 | 125\thinsp{}920 | 9.19 | 61.44% |
| A | 2018--2019 | 307 | 60 | 176\thinsp{}535 | 10.29 | 65.14% |
| B | 2016--2017 | 372 | 138 | 371\thinsp{}891 | 9.10 | 56.72% |
| B | 2017--2018 | 393 | 187 | 407\thinsp{}696 | 7.31 | 60.81% |
| B | 2018--2019 | 437 | 201 | 421\thinsp{}461 | 6.26 | 62.47% |
Course A is subdivided into two successive instructional units that each cover five programming topics -- one topic per week -- followed by an evaluation about all topics covered in the unit.
Students must solve six programming exercises on each topic before a deadline one week later.