From 925dde97714d176bda0792d03a75248f45eba55d Mon Sep 17 00:00:00 2001
From: Janis Hutz <development@janishutz.com>
Date: Mon, 19 Jan 2026 21:01:29 +0100
Subject: [PATCH] [NumCS] Add notes on exam

---
 semester3/numcs/parts/06_python/03_sympy-ex.py |  7 ++++++-
 semester3/numcs/parts/07_exam/00_intro.tex     | 13 +++++++++++++
 2 files changed, 19 insertions(+), 1 deletion(-)
 create mode 100644 semester3/numcs/parts/07_exam/00_intro.tex

diff --git a/semester3/numcs/parts/06_python/03_sympy-ex.py b/semester3/numcs/parts/06_python/03_sympy-ex.py
index d6c4e4e..1981cf2 100644
--- a/semester3/numcs/parts/06_python/03_sympy-ex.py
+++ b/semester3/numcs/parts/06_python/03_sympy-ex.py
@@ -1,6 +1,6 @@
 import sympy as sp
 
-a, b = (0, 1);
+a, b = (0, 1)
 x, y = sp.symbols("x, y")  # Create sympy symbols
 f = x**2 + 3 * x - 2  # Create your function
 # In the below, for 1D differentiation, we can omit the symbol and just use sp.diff(f)
@@ -13,5 +13,10 @@ roots = sp.roots(f)  # Computes the roots of function f analytically
 sp.hermite_poly(5)  # Creates hermite poly of degree 5
 sp.chebyshevt_poly(5)  # Creates chebychev T (first kind) poly of degree 5
 sp.chebyshevu_poly(5)  # Creates chebychev U (second kind) poly of degree 5
+system = [f + y, x**3 + 2 * y, 3 * y - 2 * x]  # A system of equations
+sp.solve(system)  # Solves a system of equations algebraically
+sp.nsolve(
+    system, [x, y], (0, 1)
+)  # Input the system, the variables to solve in and interval
 # To print nicely rendered math expressions, you can use
 sp.init_printing()
diff --git a/semester3/numcs/parts/07_exam/00_intro.tex b/semester3/numcs/parts/07_exam/00_intro.tex
new file mode 100644
index 0000000..d2c895e
--- /dev/null
+++ b/semester3/numcs/parts/07_exam/00_intro.tex
@@ -0,0 +1,13 @@
+A few example questions that might show up in the exam are:
+\begin{itemize}
+    \item Reused homework tasks from the Moodle Quizzes and Code Expert (e.g. the GPS task)
+    \item Reused tasks from the mock exam
+    \item Doing quadrature on an $\arctan$ function, for which you have to use Gauss-Newton quadrature
+\end{itemize}
+Knowing \texttt{sympy} and having read through the docs of it (at least partially) can help tremendously.
+Additionally, try to use the script with a horrible (i.e. slow and not context-aware (i.e. it start search from the start)) to get used to that.
+You can get such a search function in a PDF reader by installing Firefox ESR 72 (on which to my knowledge, Safe Exam Browser is based).
+
+For the multiple-choice tasks, if applicable, use properties of the formulas
+(e.g. for the Radau quadrature, use the fact that one of the edges of the interval has to be included and the weight computation is different for it)
+or otherwise use the Jupyter notebook to run functions that are already implemented in the script, or better yet, \texttt{sympy}.