7 files changed, 121 insertions, 186 deletions
diff --git a/book/computingME.pdf b/book/computingME.pdf
index fcfddc1..145ae15 100644
--- a/book/computingME.pdf
+++ b/book/computingME.pdf
diff --git a/book/computingME.tex b/book/computingME.tex
index 31cba87..2267856 100644
--- a/book/computingME.tex
+++ b/book/computingME.tex
@@ -5,7 +5,7 @@
 \input{preamble.inc}
 \title{MECH 305 - Computing for Mechanical: Tutorials}
 \author{Christian Kolset}
-\date{July 2013}
+\date{April 2025}
 \titlehead{Tutorials for MECH 305 - Computing for Mechanical Engineers}
 \publishers{Walter Scott Jr. College of Engineering\\Colorado State University}
 
diff --git a/book/module0/module0.tex b/book/module0/module0.tex
index 9b3c8dc..6f2a4ad 100644
--- a/book/module0/module0.tex
+++ b/book/module0/module0.tex
@@ -1,3 +1,3 @@
 \chapter{Getting Started}
 \input{module0/intro_to_programming}
-\input{module0/intro_to_anaconda}
+\input{module0/installing_anaconda}
diff --git a/book/module1/array.tex b/book/module1/array.tex
index c79c6c0..9482065 100644
--- a/book/module1/array.tex
+++ b/book/module1/array.tex
@@ -35,13 +35,7 @@ the value of the element as a property. In other words, if we were to
 analyze the stress concentration of an aluminum block, the property
 would be stress.
 
-\begin{itemize}
-\tightlist
-\item
-  From
-  \href{https://numpy.org/doc/2.2/user/absolute_beginners.html}{Numpy
-  documentation} \includegraphics{figures/multi-dimensional-array.gif}
-\end{itemize}
+\includegraphics{figures/multi-dimensional-array.png}
 
 If the load on this block changes over time, then we may want to add a
 4th dimension i.e.~additional sets of 3-D arrays for each time
@@ -197,7 +191,7 @@ recorded as a function of time.
 \begin{Highlighting}[]
 \NormalTok{thrust\_lbf }\OperatorTok{=}\NormalTok{ np.array(}\FloatTok{0.603355}\NormalTok{, }\FloatTok{2.019083}\NormalTok{, }\FloatTok{2.808092}\NormalTok{, }\FloatTok{4.054973}\NormalTok{, }\FloatTok{1.136618}\NormalTok{, }\FloatTok{0.943668}\NormalTok{)}
 
-\OperatorTok{\textgreater{}\textgreater{}\textgreater{}}\NormalTok{ thrust\_lbs[}\DecValTok{3}\NormalTok{]}
+\BuiltInTok{print}\NormalTok{(thrust\_lbs[}\DecValTok{3}\NormalTok{])}
 \end{Highlighting}
 \end{Shaded}
 
@@ -211,10 +205,7 @@ product - \texttt{np.matmul()} for matrix multiplication -
 \#\#\#\#\# Statistics - \texttt{np.mean()}, \texttt{np.median()},
 \texttt{np.std()}, \texttt{np.var()} - \texttt{np.min()},
 \texttt{np.max()}, \texttt{np.argmin()}, \texttt{np.argmax()} -
-Summation along axes: \texttt{np.sum(arr,\ axis=0)} \#\#\#\#\# Combining
-arrays - Concatenation: \texttt{np.concatenate((arr1,\ arr2),\ axis=0)}
-- Stacking: \texttt{np.vstack()}, \texttt{np.hstack()} - Splitting:
-\texttt{np.split()}
+Summation along axes: \texttt{np.sum(arr,\ axis=0)}
 
 \subsection{Exercise}\label{exercise}
 
@@ -256,9 +247,9 @@ point must be zero.
 
 \subparagraph{System of Equations:}\label{system-of-equations}
 
-\{RA+RB−10−15−20=05(10)+10(15)+15(20)−20RB=020RA−5(10)−10(15)−15(20)=0
-
+\[
 \begin{cases} R_A + R_B - 10 - 15 - 20 = 0 \\ 5(10) + 10(15) + 15(20) - 20 R_B = 0 \\ 20 R_A - 5(10) - 10(15) - 15(20) = 0 \end{cases}
+\]
 
 \subsubsection{Solution}\label{solution}
 
diff --git a/book/module1/jupyter_lab_notebook.tex b/book/module1/jupyter_lab_notebook.tex
index 5c06f5d..c08fd74 100644
--- a/book/module1/jupyter_lab_notebook.tex
+++ b/book/module1/jupyter_lab_notebook.tex
@@ -21,32 +21,6 @@ Terminal: \texttt{conda\ install\ conda-forge::jupyterlab}
 
 \subsection{Notebook Basics}\label{notebook-basics}
 
-\begin{itemize}
-\tightlist
-\item
-  Creating a new notebook (\texttt{.ipynb})
-\item
-  Types of cells:
-
-  \begin{itemize}
-  \tightlist
-  \item
-    Code
-  \item
-    Markdown
-  \item
-    Raw
-  \end{itemize}
-\item
-  Running a cell: \texttt{Shift\ +\ Enter}
-\item
-  Adding/removing cells
-\item
-  Restarting the kernel
-\item
-  Saving and auto-checkpoints
-\end{itemize}
-
 Jupyter Notebooks are files which allows you to combine \emph{Code} and
 \emph{Markdown} cells in one single document. The code cells, allow you
 to interactively run python code and print and plot data in your
@@ -100,7 +74,8 @@ affects the results of any cells that use that variable afterward ---
 but not any previously run results unless you rerun them too. Variables
 and imports persist in memory between cells, but only based on the
 current session state --- if you restart the kernel, you lose all
-previous definitions unless you re-run the necessary cells.
+previous definitions unless you re-run the necessary cells. Therefore,
+let's press the \texttt{Restart\ the\ kernel} button on the top window.3
 
 Because of this, it's best practice to; Run cells in order, restart the
 kernel and run all cells
@@ -109,85 +84,57 @@ everything works cleanly and predictably and lastly, initialize
 important variables or imports in early cells, so they are always
 defined before they are needed.
 
-\subsection{Writing and Running Code}\label{writing-and-running-code}
+\subsection{Making your document look good with
+Markdown}\label{making-your-document-look-good-with-markdown}
 
-\begin{itemize}
-\tightlist
-\item
-  Python syntax: - \texttt{print("Hello,\ world!")} - Variables and
-  functions - Loops and conditionals
-\item
-  Importing libraries: - \texttt{import\ numpy\ as\ np} -
-  \texttt{import\ pandas\ as\ pd} -
-  \texttt{import\ matplotlib.pyplot\ as\ plt}
-\end{itemize}
+Creating titles or headers is done with the hash symbol. The number of
+hashes determines whether it's a sub-title \texttt{\#}, \texttt{\#\#},
+\texttt{\#\#\#}
 
-\subsection{Using Markdown}\label{using-markdown}
+\subsubsection{Lists}\label{lists}
+
+There are two types of list in - Bullet lists: \texttt{-\ item} -
+Numbered lists: \texttt{1.\ item} \#\#\# Style - Emphasis:
+\emph{italic}, \textbf{bold}, \texttt{monospace} \#\#\# Mathematical
+Equation Markdown supports LaTeX format equations. Inline equation is
+opened and closed with a single \texttt{\$}. For a block math a double
+\texttt{\$\$} is used instead of single.
 
 \begin{itemize}
 \tightlist
 \item
-  Headers: \texttt{\#}, \texttt{\#\#}, \texttt{\#\#\#}
-\item
-  Bullet lists: \texttt{-\ item}
-\item
-  Numbered lists: \texttt{1.\ item}
-\item
-  Emphasis: \emph{italic}, \textbf{bold}, \texttt{monospace}
+  Inline: This equation is inline \texttt{\$E\ =\ mc\^{}2\$} in with the
+  markdown text.
 \item
-  LaTeX equations:
-
-  \begin{itemize}
-  \tightlist
-  \item
-    Inline: \texttt{\$E\ =\ mc\^{}2\$}
-  \item
-    Block:
-    \texttt{\$\$\textbackslash{}int\_0\^{}\textbackslash{}infty\ e\^{}\{-x\^{}2\}\ dx\ =\ \textbackslash{}frac\{\textbackslash{}sqrt\{\textbackslash{}pi\}\}\{2\}\$\$}
-  \end{itemize}
-\item
-  Embedding links and images
+  Block: Whilst this is a block:
+  \texttt{\$\$\textbackslash{}int\_0\^{}\textbackslash{}infty\ e\^{}\{-x\^{}2\}\ dx\ =\ \textbackslash{}frac\{\textbackslash{}sqrt\{\textbackslash{}pi\}\}\{2\}\$\$}
+  \#\#\# Links and images You can insert links to a different local file
+  or online urls like this: {[}Link{]}(file.md). I insert an image it's
+  the same however start with an exclamation mark \texttt{!} like this:
+  !{[}Image Caption{]}(picture.png)
 \end{itemize}
 
-\subsection{Interactive Widgets
-(optional)}\label{interactive-widgets-optional}
-
-Install \texttt{ipywidgets} from your package manager
-
-\begin{Shaded}
-\begin{Highlighting}[]
-\ImportTok{import}\NormalTok{ ipywidgets }\ImportTok{as}\NormalTok{ widgets}
-\NormalTok{widgets.IntSlider()}
-\end{Highlighting}
-\end{Shaded}
-
-Example using interact:
+\subsection{Exporting and Sharing}\label{exporting-and-sharing}
 
-\begin{Shaded}
-\begin{Highlighting}[]
-\ImportTok{from}\NormalTok{ ipywidgets }\ImportTok{import}\NormalTok{ interact}
-\NormalTok{interact(}\KeywordTok{lambda}\NormalTok{ x: x}\OperatorTok{**}\DecValTok{2}\NormalTok{, x}\OperatorTok{=}\DecValTok{5}\NormalTok{)}
-\end{Highlighting}
-\end{Shaded}
+To export your notebook go to
 
-\subsection{Exporting and Sharing}\label{exporting-and-sharing}
+\texttt{File} \textgreater{} \texttt{Download\ As}
 
-By default, jupyter auto-saves your notebooks as you work.
+You can then select these options.
 
 \begin{itemize}
 \tightlist
 \item
-  File \textgreater{} Download As:
-
-  \begin{itemize}
-  \tightlist
-  \item
-    Notebook (\texttt{.ipynb})
-  \item
-    HTML
-  \item
-    PDF (requires LaTeX)
-  \item
-    Markdown
-  \end{itemize}
+  Notebook (\texttt{.ipynb})
+\item
+  HTML
+\item
+  PDF (requires LaTeX)
+\item
+  Markdown
 \end{itemize}
+
+For homework assignments, download an HTML version of your document,
+then from your browser, save or print as a PDF. Alternatively, you can
+install the LaTeX typesetting system and export your document directly
+as PDF from jupyter.
diff --git a/book/module1/spyder_getting_started.tex b/book/module1/spyder_getting_started.tex
index 70a3d41..3133b15 100644
--- a/book/module1/spyder_getting_started.tex
+++ b/book/module1/spyder_getting_started.tex
@@ -86,9 +86,11 @@ computations, assign and modify variables.
 \item
   Display of Matplotlib graphics in Spyder's
   \href{https://docs.spyder-ide.org/5/panes/plots.html}{Plots} pane, if
-  the Inline backend is selected under Preferences ‣ IPython console ‣
-  Graphics ‣ Graphics backend, and inline in the console if Mute inline
-  plotting is unchecked under the Plots pane's options menu.
+  the Inline backend is selected under \texttt{Preferences}
+  \textgreater{} \texttt{IPython\ console} \textgreater{}
+  \texttt{Graphics} \textgreater{} \texttt{Graphics\ backend}, and
+  inline in the console if Mute inline plotting is unchecked under the
+  Plots pane's options menu.
 \end{itemize}
 
 \subsubsection{Variable Explorer}\label{variable-explorer}
diff --git a/book/module2/problem_solving_strategies.tex b/book/module2/problem_solving_strategies.tex
index 4b908f8..2f7a360 100644
--- a/book/module2/problem_solving_strategies.tex
+++ b/book/module2/problem_solving_strategies.tex
@@ -1,44 +1,49 @@
 \section{Algorithmic thinking}\label{algorithmic-thinking}
 
-\subsection{Learning Objectives}\label{learning-objectives}
-
-By the end of this lesson, students will be able to:
-
-\begin{itemize}
-\tightlist
-\item
-  Apply algorithmic thinking to solve engineering problems using
-  computational tools.
-\item
-  Translate engineering problems into structured programming logic.
-\item
-  Use software tools to implement, test, and refine engineering
-  solutions.
-\end{itemize}
+In engineering, solving a problem begins long before we start coding or
+building models. Like any other engineering challenge, computational
+problems must first be clearly framed and understood. In this section,
+you will learn to \textbf{apply algorithmic thinking} to systematically
+approach engineering problems, \textbf{translate real-world situations
+into structured programming logic}, and \textbf{use computational tools
+to implement, test, and refine solutions}.
+
+Before diving into code, it's crucial to define the problem carefully,
+frame the problem so that logically so that a computer can understand
+then execute so that
 
 \subsection{Define the Problem}\label{define-the-problem}
 
-Like many other classes we need to frame the problem before working it.
-So before jumping straight into coding or building models, clearly
-define the engineering problem.
+As any other engineering problem, we need to frame it before we can
+start working on it. So before jumping straight into coding or building
+models, clearly define the engineering problem.
 
-\begin{itemize}
+\begin{enumerate}
+\def\labelenumi{\arabic{enumi}.}
 \tightlist
 \item
-  \textbf{List knowns and unknowns.} What inputs are given? What outputs
-  are required?
+  List your givens, this includes any constants or equations. What
+  inputs do we know?
 \item
-  \textbf{Establish system constraints and assumptions.} Identify
-  physical laws, design requirements, and performance limits.
+  Find: List what you're trying to solve for. What outputs do we need to
+  find?
 \item
-  \textbf{Clarify computational objectives.} What are you trying to
-  calculate, simulate, or optimize?
-\end{itemize}
+  Establish the assumptions based on your engineering knowledge that you
+  deem to be appropriate to use for the problem. This determines what
+  mathematical models we can apply to the problem (i.e.~equations or
+  formulas).
+\item
+  Solution: Show the works of the problem, this will include any code
+  used together with documentation or any explanations of the code.
+\item
+  Comment: reflect and comment on your findings.
+\end{enumerate}
 
 \subsection{Think Algorithmically}\label{think-algorithmically}
 
-Since we are going to use computers to calculate our solution we first
+Since we are going to use computers to compute our calculate we first
 need to break the problem into logical steps that a computer can follow.
+This can be done with tools such as flowchart or psuedo-code.
 
 \begin{itemize}
 \tightlist
@@ -49,79 +54,69 @@ need to break the problem into logical steps that a computer can follow.
   \textbf{Break the problem into sub-tasks.} Identify steps such as data
   input, logic processing and output.
 \item
-  \textbf{Outline the algorithm.} Write pseudocode or flowcharts that
+  \textbf{Outline the algorithm.} Write pseudo-code or flowcharts that
   describe the computational steps.
 \item
   \textbf{Identify patterns or formulas.} Can loops, conditionals, or
   equations be used to automate parts of the solution?
 \end{itemize}
 
-\textbf{Example:} For processing stress-strain data: 1. Import data from
-a file. 2. Convert force and displacement to stress and strain. 3. Plot
-the stress-strain curve. 4. Identify the yield point or modulus.
+\subsubsection{Flowchart for fixing
+lamp}\label{flowchart-for-fixing-lamp}
 
-\subsection{Write \& Execute the Code}\label{write-execute-the-code}
+\begin{figure}
+\centering
+\includegraphics{figures/LampFlowchart.png}
+\caption{Lamp Flowchart}
+\end{figure}
 
-\begin{itemize}
+\subsubsection{Psuedo-Code for processing and plotting stress-strain
+data:}\label{psuedo-code-for-processing-and-plotting-stress-strain-data}
+
+\begin{enumerate}
+\def\labelenumi{\arabic{enumi}.}
 \tightlist
 \item
-  \textbf{Choose the right tools.} Are there libraries I can use to get
-  to my objective more effectively?
+  Import force and displacement data from file.
 \item
-  \textbf{Write modular code.} Use functions to separate different tasks
-  (e.g., reading data, computing values, plotting).
+  Convert data from force and displacement to stress and strain.
 \item
-  \textbf{Check for syntax and logic errors.} Debug line-by-line using
-  print statements or a debugger.
-\end{itemize}
+  Plot the stress-strain curve.
+\item
+  Identify the yield point or modulus.
+\end{enumerate}
 
-\textbf{Example:} Write a Python script that uses NumPy and Matplotlib
-to load a CSV file, compute stress and strain, and generate plots.
+\subsection{Write \& Execute the Code}\label{write-execute-the-code}
 
-\subsection{Test and Validate}\label{test-and-validate}
+When writing the code it is important to ask yourself whether you're
+using the right tools, libraries or method to solve the problem.
+\textbf{Check for any syntax and logic errors} then debug line-by-line
+using print statements or by using a debugging tool.
 
-\begin{itemize}
-\tightlist
-\item
-  \textbf{Assess the feasibility of your results.} Do the values align
-  with expected physical behavior?
-\item
-  \textbf{Compare against established benchmarks.} Validate solutions
-  using experimental data, literature values, or known theoretical
-  limits.
-\item
-  \textbf{Check units and scaling.} Ensure computations are consistent
-  with physical meaning.
-\end{itemize}
+\subsection{Verify and Validate}\label{verify-and-validate}
 
-\textbf{Example:} If your plot shows stress values in the thousands when
-you expect hundreds, check unit conversions in your formula.
+When writing code it is crucial to test and confirm your code. It is
+therefore important to ask yourself the following questions. Does the
+code do what you intended it to do? And, is the mathematical model used
+in the code valid for the current problem?
 
-\subsection{Case Study: Simulating a Spring-Mass
-System}\label{case-study-simulating-a-spring-mass-system}
+\subsection{Exercise: Design a derivative finding
+algorithm}\label{exercise-design-a-derivative-finding-algorithm}
 
-\textbf{Scenario:} Model the motion of a mass-spring-damper system using
-a numerical solver.
+Set up the problem and write pseudo-code to calculate the gradient of an
+unknown function.
 
 \begin{enumerate}
 \def\labelenumi{\arabic{enumi}.}
 \tightlist
 \item
-  \textbf{Define the Problem:} Set up the differential equation from
-  Newton's Second Law.
-\item
-  \textbf{Develop a Strategy:} Discretize time, apply numerical
-  integration (e.g., Euler or Runge-Kutta).
+  \textbf{Given:}
 \item
-  \textbf{Execute the Code:} Write a Python function that computes
-  motion over time.
+  **Find:
 \item
-  \textbf{Test the Model:} Compare results with analytical solutions for
-  undamped or lightly damped systems.
+  \textbf{Assumptions:}
 \item
-  \textbf{Refine the Model:} Add adjustable damping and stiffness
-  parameters.
+  \textbf{Solution:}
 \item
-  \textbf{Troubleshoot Issues:} If the model becomes unstable, reduce
-  the time step or use a more accurate integrator.
+  \textbf{Comment:}
 \end{enumerate}