fix TA session times

Aalto2024.Rmd

@@ -240,7 +240,6 @@ QA sessions, TA sessions, prerequisites, chat, etc.
 -   Get help in TA sessions
     `r sdate("Lecture date", "Week1", offset = 2)` 14-16,
     `r sdate("Lecture date", "Week1", offset = 3)` 12-14,
-    `r sdate("Lecture date", "Week1", offset = 4)` 10-12
     -   in Sisu these are marked as exercise sessions, but we call them
         TA sessions
     -   these are optional and you can choose which one to join
@@ -278,7 +277,6 @@ normal model.
     -   [TA sessions](assignments.html#TA_sessions)
         `r sdate("Lecture date", "Week2", offset = 2)` 12-14,
         `r sdate("Lecture date", "Week2", offset = 3)` 12-14,
-        `r sdate("Lecture date", "Week2", offset = 4)` 12-14.
 -   Highly recommended, but optional: Make BDA3 exercises 2.1-2.5, 2.8, 2.9, 2.14, 2.17, 2.22
     ([model solutions available for 2.1-2.5, 2.7-2.13, 2.16, 2.17,
     2.20](http://www.stat.columbia.edu/~gelman/book/solutions3.pdf), and
@@ -310,7 +308,6 @@ Ch 3.
 -   [TA sessions](assignments.html#TA_sessions)
     `r sdate("Lecture date", "Week3", offset = 2)` 12-14,
     `r sdate("Lecture date", "Week3", offset = 3)` 12-14,
-    `r sdate("Lecture date", "Week3", offset = 4)` 12-14.
 -   Highly recommended, but optional: Make BDA3 exercises 3.2, 3.3, 3.9 ([model solutions
     available for 3.1-3.3, 3.5, 3.9,
     3.10](http://www.stat.columbia.edu/~gelman/book/solutions3.pdf))
@@ -343,7 +340,6 @@ rejection sampling, and importance sampling. BDA3 Ch 10.
 -   [TA sessions](assignments.html#TA_sessions)
     `r sdate("Lecture date", "Week4", offset = 2)` 12-14,
     `r sdate("Lecture date", "Week4", offset = 3)` 12-14,
-    `r sdate("Lecture date", "Week4", offset = 4)` 12-14.
 -   Highly recommended, but optional: Make BDA3 exercises 10.1, 10.2 ([model solution available
     for 10.4](http://www.stat.columbia.edu/~gelman/book/solutions3.pdf))
 -   Start reading Chapter 11, see instructions below
@@ -372,7 +368,6 @@ convergence diagnostics, R-hat, and effective sample size. BDA3 Ch 11.
 -   [TA sessions](assignments.html#TA_sessions)
     `r sdate("Lecture date", "Week5", offset = 2)` 12-14,
     `r sdate("Lecture date", "Week5", offset = 3)` 12-14,
-    `r sdate("Lecture date", "Week5", offset = 4)` 12-14.
 -   Highly recommended, but optional: Make BDA3 exercise 11.1 ([model solution available for
     11.1](http://www.stat.columbia.edu/~gelman/book/solutions3.pdf))
 -   Start reading Chapter 12 + Stan material, see instructions below
@@ -419,7 +414,6 @@ material](index.html#stan)
 -   [TA sessions](assignments.html#TA_sessions)
     `r sdate("Lecture date", "Week6", offset = 2)` 14-16,
     `r sdate("Lecture date", "Week6", offset = 3)` 12-14,
-    `r sdate("Lecture date", "Week6", offset = 4)` 10-12.
 -   Start reading Chapter 5 + Stan material, see instructions below
 
 ### 7) BDA3 Ch 5, hierarchical models
@@ -441,7 +435,6 @@ Hierarchical models and exchangeability. BDA3 Ch 5.
 -   [TA sessions](assignments.html#TA_sessions)
     `r sdate("Lecture date", "Week8", offset = 2)` 14-16,
     `r sdate("Lecture date", "Week8", offset = 3)` 12-14,
-    `r sdate("Lecture date", "Week8", offset = 4)` 10-12.
 -   Highly recommended, but optional: Make BDA3 exercises 5.1 and 5.2 ([model solution available
     for 5.3-5.5,
     5.7-5.12](http://www.stat.columbia.edu/~gelman/book/solutions3.pdf))
@@ -476,7 +469,6 @@ Model checking and cross-validation.
 -   [TA sessions](assignments.html#TA_sessions)
     `r sdate("Lecture date", "Week9", offset = 2)` 14-16,
     `r sdate("Lecture date", "Week9", offset = 3)` 12-14,
-    `r sdate("Lecture date", "Week9", offset = 4)` 10-12.
 -   Highly recommended, but optional: Make BDA3 exercise 6.1 ([model solution available for
     6.1, 6.5-6.7](http://www.stat.columbia.edu/~gelman/book/solutions3.pdf))
 
@@ -501,7 +493,6 @@ variable selection with projection predictive variable selection.
 -   [TA sessions](assignments.html#TA_sessions)
     `r sdate("Lecture date", "Week10", offset = 2)` 14-16,
     `r sdate("Lecture date", "Week10", offset = 3)` 12-14,
-    `r sdate("Lecture date", "Week10", offset = 4)` 10-12.
 -   Start reading Chapter 9, see instructions below.
 
 ### 10) BDA3 Ch 9, decision analysis + BDA3 Ch 4 Laplace approximation and asymptotics
@@ -520,7 +511,6 @@ Decision analysis. BDA3 Ch 9. + Laplace approximation and asymptotics. BDA Ch 4.
 -   [TA sessions](assignments.html#TA_sessions)
     `r sdate("Lecture date", "Week11", offset = 2)` 14-16,
     `r sdate("Lecture date", "Week11", offset = 3)` 12-14,
-    `r sdate("Lecture date", "Week11", offset = 4)` 10-12.
 -   Start reading Chapter 4, see instructions below.
 
 ### 11) Variable selection with projpred, project presentation example, extra
@@ -533,7 +523,6 @@ Decision analysis. BDA3 Ch 9. + Laplace approximation and asymptotics. BDA Ch 4.
 -   [TA sessions](assignments.html#TA_sessions)
     `r sdate("Lecture date", "Week12", offset = 2)` 14-16,
     `r sdate("Lecture date", "Week12", offset = 3)` 12-14,
-    `r sdate("Lecture date", "Week12", offset = 4)` 10-12.
 
 ### 12) TBA
 
@@ -545,7 +534,6 @@ Decision analysis. BDA3 Ch 9. + Laplace approximation and asymptotics. BDA Ch 4.
 -   [TA sessions](assignments.html#TA_sessions)
     `r sdate("Lecture date", "Week13", offset = 2)` 14-16,
     `r sdate("Lecture date", "Week13", offset = 3)` 12-14,
-    `r sdate("Lecture date", "Week13", offset = 4)` 10-12.
 
 ### 13) Project evaluation