improve narrative flow and clarify noun phrases

_subfiles/Linear-models-overview/_sec_linreg_mle_est.qmd

@@ -322,7 +322,7 @@ $$
 \ea
 $$
 
-That is, the Hessian matrix is given by:
+Expressed as a summation, the Hessian matrix is given by:
 
 $$\hess = -\frac{1}{\ss} \sumin \vx_i \tp{\vx_i}$${#eq-lm-hess}
 

_subfiles/syllabus/_sec-exams.qmd

@@ -19,6 +19,6 @@ material, and it can only improve your grade. **If you are satisfied
 with your grade prior to the final, you are welcome to skip it entirely;
 doing so will not affect your course grade.**
 
-This is a graduate-level course, and we expect you to be
+Epi 204 is a graduate-level course, and we expect you to be
 **self-motivated** to learn this material, as you will need to use it
 for qualifying exams, your dissertations, and the rest of your careers.

_subfiles/syllabus/_sec-homework.qmd

@@ -105,7 +105,7 @@ See
 > of lecture or discussion led by the instructor and two hours of
 > outside preparation by the student."
 
-This is a four-unit course, so you should plan to **spend up to eight
+Epi 204 is a four-unit course, so you should plan to **spend up to eight
 hours per week studying outside of class time**. Please actively manage
 and track your time.
 

_subfiles/syllabus/_sec-texts.qmd

@@ -6,7 +6,8 @@ files on Canvas).
 - The material in the first half of the course relies heavily on *An
   Introduction to Generalized Linear Models*, 4th ed. (2018), by Dobson,
   Annette J, and Adrian G Barnett (CRC press:
-  <https://doi.org/10.1201/9781315182780>). This is a classic textbook
+  <https://doi.org/10.1201/9781315182780>).
+  Dobson and Barnett's text is a classic textbook
   for GLMs; you'll see its datasets used as examples in the R
   documentation for \`glm()\` and \`lm()\`, and the book itself provides
   R code for many of its examples. The UCLA biostatistics MS core course