diff --git a/lectures/_static/lecture_specific/graphviz/graphviz_generation.ipynb b/lectures/_static/lecture_specific/graphviz/graphviz_generation.ipynb
deleted file mode 100644
index 03c74116..00000000
--- a/lectures/_static/lecture_specific/graphviz/graphviz_generation.ipynb
+++ /dev/null
@@ -1,565 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "ccd1c797-db85-4293-8436-0cd442d1d9ae",
-   "metadata": {},
-   "source": [
-    "# Code for Graphviz Plots "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "6f6a377d-1fc8-4f2a-8e92-b550a7c92828",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Requirement already satisfied: graphviz in /Users/mmcky/anaconda3/envs/quantecon/lib/python3.11/site-packages (0.20.3)\n"
-     ]
-    }
-   ],
-   "source": [
-    "!pip install graphviz"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ad403a5a-868c-45ed-a360-a81aee9cfd38",
-   "metadata": {},
-   "source": [
-    "```{admonition} graphviz\n",
-    ":class: warning\n",
-    "If you are running this lecture locally it requires [graphviz](https://www.graphviz.org)\n",
-    "to be installed on your computer. Installation instructions for graphviz can be found\n",
-    "[here](https://www.graphviz.org/download/) \n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "428161a2-e0d5-402e-bf16-1d1e460a30e7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from graphviz import Digraph\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "75d07327-0fcc-41f1-8d36-b8b8d4eb1060",
-   "metadata": {},
-   "source": [
-    "## Lake model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "16e9379d-bf94-4c79-9a34-4dbc2cc41b0e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'../lake_model/lake_model_worker.png'"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Create Digraph object\n",
-    "G = Digraph(format='png')\n",
-    "G.attr(rankdir='LR')\n",
-    "\n",
-    "# Add nodes\n",
-    "G.attr('node', shape='circle')\n",
-    "G.node('1', 'New entrants', color='blue')\n",
-    "G.node('2', 'Unemployed')\n",
-    "G.node('3', 'Employed')\n",
-    "\n",
-    "# Add edges\n",
-    "G.edge('1', '2', label='b')\n",
-    "G.edge('2', '3', label='λ(1-d)')\n",
-    "G.edge('3', '2', label='α(1-d)')\n",
-    "G.edge('2', '2', label='(1-λ)(1-d)')\n",
-    "G.edge('3', '3', label='(1-α)(1-d)')\n",
-    "\n",
-    "# Save Plot\n",
-    "G.render(filename='../lake_model/lake_model_worker')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "194ca10b-dd02-4210-adbc-c2bb8b699d45",
-   "metadata": {},
-   "source": [
-    "## Markov chains I\n",
-    "\n",
-    "### Example 1\n",
-    "\n",
-    "Hamilton on US unemployment data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "75e86ad6-d11c-4c36-920d-cbab0e3d97d2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'../markov_chains_I/Hamilton.png'"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dot = Digraph(format='png')\n",
-    "dot.attr(rankdir='LR')\n",
-    "dot.node(\"ng\")\n",
-    "dot.node(\"mr\")\n",
-    "dot.node(\"sr\")\n",
-    "\n",
-    "dot.edge(\"ng\", \"ng\", label=\"0.971\")\n",
-    "dot.edge(\"ng\", \"mr\", label=\"0.029\")\n",
-    "dot.edge(\"mr\", \"ng\", label=\"0.145\")\n",
-    "\n",
-    "dot.edge(\"mr\", \"mr\", label=\"0.778\")\n",
-    "dot.edge(\"mr\", \"sr\", label=\"0.077\")\n",
-    "dot.edge(\"sr\", \"mr\", label=\"0.508\")\n",
-    "\n",
-    "dot.edge(\"sr\", \"sr\", label=\"0.492\")\n",
-    "dot\n",
-    "\n",
-    "dot.render(filename='../markov_chains_I/Hamilton')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1b7b4b45-f6a4-495d-9115-638aafe9acd8",
-   "metadata": {},
-   "source": [
-    "### Exercise 1\n",
-    "\n",
-    "Solution 2:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "46c4612f-3f8b-4c83-b02a-81fe67545e8f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'../markov_chains_I/Temple.png'"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dot = Digraph(format='png')\n",
-    "dot.attr(rankdir='LR')\n",
-    "dot.node(\"Growth\")\n",
-    "dot.node(\"Stagnation\")\n",
-    "dot.node(\"Collapse\")\n",
-    "\n",
-    "dot.edge(\"Growth\", \"Growth\", label=\"0.68\")\n",
-    "dot.edge(\"Growth\", \"Stagnation\", label=\"0.12\")\n",
-    "dot.edge(\"Growth\", \"Collapse\", label=\"0.20\")\n",
-    "\n",
-    "dot.edge(\"Stagnation\", \"Stagnation\", label=\"0.24\")\n",
-    "dot.edge(\"Stagnation\", \"Growth\", label=\"0.50\")\n",
-    "dot.edge(\"Stagnation\", \"Collapse\", label=\"0.26\")\n",
-    "\n",
-    "dot.edge(\"Collapse\", \"Collapse\", label=\"0.46\")\n",
-    "dot.edge(\"Collapse\", \"Stagnation\", label=\"0.18\")\n",
-    "dot.edge(\"Collapse\", \"Growth\", label=\"0.36\")\n",
-    "\n",
-    "dot\n",
-    "\n",
-    "dot.render(filename='../markov_chains_I/Temple')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "360e6241-2bdc-425e-903a-dab3c5ef0485",
-   "metadata": {},
-   "source": [
-    "## Markov chains II\n",
-    "\n",
-    "### Irreducibility"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "b2fc20fe-9031-4212-a911-6dad6f49ccd3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'../markov_chains_II/Irre_1.png'"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dot = Digraph(format='png')\n",
-    "dot.attr(rankdir='LR')\n",
-    "dot.node(\"poor\")\n",
-    "dot.node(\"middle class\")\n",
-    "dot.node(\"rich\")\n",
-    "\n",
-    "dot.edge(\"poor\", \"poor\", label=\"0.9\")\n",
-    "dot.edge(\"poor\", \"middle class\", label=\"0.1\")\n",
-    "dot.edge(\"middle class\", \"poor\", label=\"0.4\")\n",
-    "dot.edge(\"middle class\", \"middle class\", label=\"0.4\")\n",
-    "dot.edge(\"middle class\", \"rich\", label=\"0.2\")\n",
-    "dot.edge(\"rich\", \"poor\", label=\"0.1\")\n",
-    "dot.edge(\"rich\", \"middle class\", label=\"0.1\")\n",
-    "dot.edge(\"rich\", \"rich\", label=\"0.8\")\n",
-    "\n",
-    "dot\n",
-    "dot.render(filename='../markov_chains_II/Irre_1')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "6d7a66a3-840b-4920-b7d0-eac8c95ab518",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'../markov_chains_II/Irre_2.png'"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dot = Digraph(format='png')\n",
-    "dot.attr(rankdir='LR')\n",
-    "dot.node(\"poor\")\n",
-    "dot.node(\"middle class\")\n",
-    "dot.node(\"rich\")\n",
-    "\n",
-    "dot.edge(\"poor\", \"poor\", label=\"1.0\")\n",
-    "dot.edge(\"middle class\", \"poor\", label=\"0.1\")\n",
-    "dot.edge(\"middle class\", \"middle class\", label=\"0.8\")\n",
-    "dot.edge(\"middle class\", \"rich\", label=\"0.1\")\n",
-    "dot.edge(\"rich\", \"middle class\", label=\"0.2\")\n",
-    "dot.edge(\"rich\", \"rich\", label=\"0.8\")\n",
-    "\n",
-    "dot\n",
-    "dot.render(filename='../markov_chains_II/Irre_2')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a1d1ef38-f6ee-4c45-b922-d6c72ae0acc2",
-   "metadata": {},
-   "source": [
-    "### Example 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "2d1becb5-6593-49e2-990f-e6a8799b7c2c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'../markov_chains_II/example4.png'"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dot = Digraph(format='png')\n",
-    "dot.attr(rankdir='LR')\n",
-    "dot.node(\"0\")\n",
-    "dot.node(\"1\")\n",
-    "\n",
-    "dot.edge(\"0\", \"1\", label=\"1.0\")\n",
-    "dot.edge(\"1\", \"0\", label=\"1.0\")\n",
-    "\n",
-    "dot\n",
-    "dot.render(filename='../markov_chains_II/example4')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a9664ecd-eb62-44e3-89fa-f83555c51b74",
-   "metadata": {},
-   "source": [
-    "## Networks"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5df3cbb7-f540-4375-8448-c2aaa5526d56",
-   "metadata": {},
-   "source": [
-    "### Markov chains"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "f5f64c3a-c7f4-4f7f-86f5-d47d0d3a0d5c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'../networks/mc.png'"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dot = Digraph(format='png')\n",
-    "dot.attr(rankdir='LR')\n",
-    "\n",
-    "dot.node(\"ng\")\n",
-    "dot.node(\"mr\")\n",
-    "dot.node(\"sr\")\n",
-    "\n",
-    "dot.edge(\"ng\", \"ng\", label=\"0.971\")\n",
-    "dot.edge(\"ng\", \"mr\", label=\"0.029\")\n",
-    "dot.edge(\"mr\", \"ng\", label=\"0.145\")\n",
-    "dot.edge(\"mr\", \"mr\", label=\"0.778\")\n",
-    "dot.edge(\"mr\", \"sr\", label=\"0.077\")\n",
-    "dot.edge(\"sr\", \"mr\", label=\"0.508\")\n",
-    "dot.edge(\"sr\", \"sr\", label=\"0.492\")\n",
-    "\n",
-    "dot\n",
-    "dot.render(filename='../networks/mc')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "395fa1f8-6e8d-4ac5-bc71-f34b0b9c1e9c",
-   "metadata": {},
-   "source": [
-    "### Poverty trap"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "4f4434d5-f434-41eb-ac4b-f0642d3c48c4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'../networks/poverty_trap_1.png'"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dot = Digraph(format='png',engine = \"neato\")\n",
-    "dot.attr(rankdir='LR')\n",
-    "dot.node(\"poor\", pos='0,0!')\n",
-    "dot.node(\"middle class\", pos='2,1!')\n",
-    "dot.node(\"rich\", pos='4,0!')\n",
-    "\n",
-    "dot.edge(\"poor\", \"poor\")\n",
-    "dot.edge(\"poor\", \"middle class\")\n",
-    "dot.edge(\"middle class\", \"poor\")\n",
-    "dot.edge(\"middle class\", \"middle class\")\n",
-    "dot.edge(\"middle class\", \"rich\")\n",
-    "dot.edge(\"rich\", \"poor\")\n",
-    "dot.edge(\"rich\", \"middle class\")\n",
-    "dot.edge(\"rich\", \"rich\")\n",
-    "\n",
-    "dot\n",
-    "dot.render(filename='../networks/poverty_trap_1')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "ed47732a-9e2b-4d0d-a08a-5303bf8107c2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'../networks/poverty_trap_2.png'"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dot = Digraph(format='png',engine=\"neato\")\n",
-    "dot.attr(rankdir='LR')\n",
-    "dot.node(\"poor\", pos='0,0!')\n",
-    "dot.node(\"middle class\", pos='2,1!')\n",
-    "dot.node(\"rich\", pos='4,0!')\n",
-    "\n",
-    "dot.edge(\"poor\", \"poor\")\n",
-    "dot.edge(\"middle class\", \"poor\")\n",
-    "dot.edge(\"middle class\", \"middle class\")\n",
-    "dot.edge(\"middle class\", \"rich\")\n",
-    "dot.edge(\"rich\", \"poor\")\n",
-    "dot.edge(\"rich\", \"middle class\")\n",
-    "dot.edge(\"rich\", \"rich\")\n",
-    "\n",
-    "dot\n",
-    "dot.render(filename='../networks/poverty_trap_2')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b43e5057-94eb-45e4-80e5-9f85a3c8be52",
-   "metadata": {},
-   "source": [
-    "### Weighted directed graph"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "818c342c-87a4-4f30-9c78-79577f257698",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'../networks/weighted.png'"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dot = Digraph(format='png')\n",
-    "\n",
-    "dot.attr(rankdir='LR')\n",
-    "dot.node(\"poor\")\n",
-    "dot.node(\"middle class\")\n",
-    "dot.node(\"rich\")\n",
-    "\n",
-    "dot.edge(\"poor\", \"poor\", label='0.9')\n",
-    "dot.edge(\"poor\", \"middle class\", label='0.1')\n",
-    "dot.edge(\"middle class\", \"poor\", label='0.4')\n",
-    "dot.edge(\"middle class\", \"middle class\", label='0.4')\n",
-    "dot.edge(\"middle class\", \"rich\", label='0.2')\n",
-    "dot.edge(\"rich\", \"poor\", label='0.1')\n",
-    "dot.edge(\"rich\", \"middle class\", label='0.1')\n",
-    "dot.edge(\"rich\", \"rich\", label='0.8')\n",
-    "\n",
-    "dot\n",
-    "dot.render(filename='../networks/weighted')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "074ccf20-618b-456c-9257-36ac2e2b6cfa",
-   "metadata": {},
-   "source": [
-    "### Properties"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "778d9e00-3224-4ab7-ba72-c87b96fb654b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'../networks/properties.png'"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dot = Digraph(format='png')\n",
-    "\n",
-    "dot.attr(rankdir='LR')\n",
-    "dot.node('1')\n",
-    "dot.node('2')\n",
-    "dot.node('3')\n",
-    "\n",
-    "dot.edge('1', '2', label='0.7')\n",
-    "dot.edge('1', '3', label='0.3')\n",
-    "dot.edge('2', '1', label='1')\n",
-    "dot.edge('3', '1', label='0.4')\n",
-    "dot.edge('3', '2', label='0.6')\n",
-    "\n",
-    "dot\n",
-    "dot.render(filename='../networks/properties')"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/lectures/_static/lecture_specific/lake_model/figures.ipynb b/lectures/_static/lecture_specific/lake_model/figures.ipynb
new file mode 100644
index 00000000..2acf3b67
--- /dev/null
+++ b/lectures/_static/lecture_specific/lake_model/figures.ipynb
@@ -0,0 +1,108 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "3c1ab515-e765-48f5-bfaf-35d4f95581fd",
+   "metadata": {},
+   "source": [
+    "# Figures for Lake Model Lecture"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "45727b3e-f531-4a31-b838-840ccf9d3c02",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: graphviz in /Users/mmcky/anaconda3/envs/quantecon/lib/python3.11/site-packages (0.20.3)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install graphviz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "68e95ec8-877e-416a-a8ff-665715dfe222",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from graphviz import Digraph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "92a57207-4d79-4d7b-98c2-aea1a1e35f57",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'lake_model_worker.png'"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create Digraph object\n",
+    "G = Digraph(format='png')\n",
+    "G.attr(rankdir='LR')\n",
+    "\n",
+    "# Add nodes\n",
+    "G.attr('node', shape='circle')\n",
+    "G.node('1', 'New entrants', color='blue')\n",
+    "G.node('2', 'Unemployed')\n",
+    "G.node('3', 'Employed')\n",
+    "\n",
+    "# Add edges\n",
+    "G.edge('1', '2', label='b')\n",
+    "G.edge('2', '3', label='λ(1-d)')\n",
+    "G.edge('3', '2', label='α(1-d)')\n",
+    "G.edge('2', '2', label='(1-λ)(1-d)')\n",
+    "G.edge('3', '3', label='(1-α)(1-d)')\n",
+    "\n",
+    "# Save Plot\n",
+    "G.render(filename='lake_model_worker')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f6c2af58-4d38-44c3-adb0-d1a92a344e51",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/lectures/_static/lecture_specific/lake_model/lake_model_worker b/lectures/_static/lecture_specific/lake_model/lake_model_worker
new file mode 100644
index 00000000..92912137
--- /dev/null
+++ b/lectures/_static/lecture_specific/lake_model/lake_model_worker
@@ -0,0 +1,12 @@
+digraph {
+	rankdir=LR
+	node [shape=circle]
+	1 [label="New entrants" color=blue]
+	2 [label=Unemployed]
+	3 [label=Employed]
+	1 -> 2 [label=b]
+	2 -> 3 [label="λ(1-d)"]
+	3 -> 2 [label="α(1-d)"]
+	2 -> 2 [label="(1-λ)(1-d)"]
+	3 -> 3 [label="(1-α)(1-d)"]
+}
diff --git a/lectures/_static/lecture_specific/lake_model/lake_model_worker.png b/lectures/_static/lecture_specific/lake_model/lake_model_worker.png
index 396d48ff..802a23c7 100644
Binary files a/lectures/_static/lecture_specific/lake_model/lake_model_worker.png and b/lectures/_static/lecture_specific/lake_model/lake_model_worker.png differ
diff --git a/lectures/_static/lecture_specific/markov_chains_I/Hamilton b/lectures/_static/lecture_specific/markov_chains_I/Hamilton
new file mode 100644
index 00000000..ca9ddc78
--- /dev/null
+++ b/lectures/_static/lecture_specific/markov_chains_I/Hamilton
@@ -0,0 +1,13 @@
+digraph {
+	rankdir=LR
+	ng
+	mr
+	sr
+	ng -> ng [label=0.971]
+	ng -> mr [label=0.029]
+	mr -> ng [label=0.145]
+	mr -> mr [label=0.778]
+	mr -> sr [label=0.077]
+	sr -> mr [label=0.508]
+	sr -> sr [label=0.492]
+}
diff --git a/lectures/_static/lecture_specific/markov_chains_I/Hamilton.png b/lectures/_static/lecture_specific/markov_chains_I/Hamilton.png
index 774b4092..caeccf2b 100644
Binary files a/lectures/_static/lecture_specific/markov_chains_I/Hamilton.png and b/lectures/_static/lecture_specific/markov_chains_I/Hamilton.png differ
diff --git a/lectures/_static/lecture_specific/markov_chains_I/Temple b/lectures/_static/lecture_specific/markov_chains_I/Temple
new file mode 100644
index 00000000..7d4d2ad6
--- /dev/null
+++ b/lectures/_static/lecture_specific/markov_chains_I/Temple
@@ -0,0 +1,15 @@
+digraph {
+	rankdir=LR
+	Growth
+	Stagnation
+	Collapse
+	Growth -> Growth [label=0.68]
+	Growth -> Stagnation [label=0.12]
+	Growth -> Collapse [label=0.20]
+	Stagnation -> Stagnation [label=0.24]
+	Stagnation -> Growth [label=0.50]
+	Stagnation -> Collapse [label=0.26]
+	Collapse -> Collapse [label=0.46]
+	Collapse -> Stagnation [label=0.18]
+	Collapse -> Growth [label=0.36]
+}
diff --git a/lectures/_static/lecture_specific/markov_chains_I/Temple.png b/lectures/_static/lecture_specific/markov_chains_I/Temple.png
index d6aea1e0..41f07a0d 100644
Binary files a/lectures/_static/lecture_specific/markov_chains_I/Temple.png and b/lectures/_static/lecture_specific/markov_chains_I/Temple.png differ
diff --git a/lectures/_static/lecture_specific/markov_chains_I/figures.ipynb b/lectures/_static/lecture_specific/markov_chains_I/figures.ipynb
new file mode 100644
index 00000000..c76bec7c
--- /dev/null
+++ b/lectures/_static/lecture_specific/markov_chains_I/figures.ipynb
@@ -0,0 +1,168 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "43b11347-069e-4c50-b093-4635361408fc",
+   "metadata": {},
+   "source": [
+    "# Figures for Markov Chains I"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "38b0e8a2-acab-4b27-95b3-96174c7d6863",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: graphviz in /Users/mmcky/anaconda3/envs/quantecon/lib/python3.11/site-packages (0.20.3)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install graphviz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "606da6ac-e8b7-49c6-9d88-142e18e02bba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from graphviz import Digraph"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87430938-745b-45d3-9895-937bc357432d",
+   "metadata": {},
+   "source": [
+    "## Example 1\n",
+    "\n",
+    "Hamilton on US unemployment data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "eff7a6b5-98d4-4f26-b72f-7100a911644e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Hamilton.png'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dot = Digraph(format='png')\n",
+    "dot.attr(rankdir='LR')\n",
+    "dot.node(\"ng\")\n",
+    "dot.node(\"mr\")\n",
+    "dot.node(\"sr\")\n",
+    "\n",
+    "dot.edge(\"ng\", \"ng\", label=\"0.971\")\n",
+    "dot.edge(\"ng\", \"mr\", label=\"0.029\")\n",
+    "dot.edge(\"mr\", \"ng\", label=\"0.145\")\n",
+    "\n",
+    "dot.edge(\"mr\", \"mr\", label=\"0.778\")\n",
+    "dot.edge(\"mr\", \"sr\", label=\"0.077\")\n",
+    "dot.edge(\"sr\", \"mr\", label=\"0.508\")\n",
+    "\n",
+    "dot.edge(\"sr\", \"sr\", label=\"0.492\")\n",
+    "dot\n",
+    "\n",
+    "dot.render(filename='Hamilton')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7effdaa6-ee97-4634-811c-1b90d7e95543",
+   "metadata": {},
+   "source": [
+    "## Exercise 1\n",
+    "\n",
+    "Solution 2:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "bb57212a-c0f2-4922-a549-0edea60ec590",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Temple.png'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dot = Digraph(format='png')\n",
+    "dot.attr(rankdir='LR')\n",
+    "dot.node(\"Growth\")\n",
+    "dot.node(\"Stagnation\")\n",
+    "dot.node(\"Collapse\")\n",
+    "\n",
+    "dot.edge(\"Growth\", \"Growth\", label=\"0.68\")\n",
+    "dot.edge(\"Growth\", \"Stagnation\", label=\"0.12\")\n",
+    "dot.edge(\"Growth\", \"Collapse\", label=\"0.20\")\n",
+    "\n",
+    "dot.edge(\"Stagnation\", \"Stagnation\", label=\"0.24\")\n",
+    "dot.edge(\"Stagnation\", \"Growth\", label=\"0.50\")\n",
+    "dot.edge(\"Stagnation\", \"Collapse\", label=\"0.26\")\n",
+    "\n",
+    "dot.edge(\"Collapse\", \"Collapse\", label=\"0.46\")\n",
+    "dot.edge(\"Collapse\", \"Stagnation\", label=\"0.18\")\n",
+    "dot.edge(\"Collapse\", \"Growth\", label=\"0.36\")\n",
+    "\n",
+    "dot\n",
+    "\n",
+    "dot.render(filename='Temple')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7aca758c-e819-4d01-a2aa-c5fd36f0e2ad",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/lectures/_static/lecture_specific/markov_chains_II/Irre_1 b/lectures/_static/lecture_specific/markov_chains_II/Irre_1
new file mode 100644
index 00000000..5828da69
--- /dev/null
+++ b/lectures/_static/lecture_specific/markov_chains_II/Irre_1
@@ -0,0 +1,14 @@
+digraph {
+	rankdir=LR
+	poor
+	"middle class"
+	rich
+	poor -> poor [label=0.9]
+	poor -> "middle class" [label=0.1]
+	"middle class" -> poor [label=0.4]
+	"middle class" -> "middle class" [label=0.4]
+	"middle class" -> rich [label=0.2]
+	rich -> poor [label=0.1]
+	rich -> "middle class" [label=0.1]
+	rich -> rich [label=0.8]
+}
diff --git a/lectures/_static/lecture_specific/markov_chains_II/Irre_1.png b/lectures/_static/lecture_specific/markov_chains_II/Irre_1.png
index a8eaf072..5510b4d7 100644
Binary files a/lectures/_static/lecture_specific/markov_chains_II/Irre_1.png and b/lectures/_static/lecture_specific/markov_chains_II/Irre_1.png differ
diff --git a/lectures/_static/lecture_specific/markov_chains_II/Irre_2 b/lectures/_static/lecture_specific/markov_chains_II/Irre_2
new file mode 100644
index 00000000..0dc87c90
--- /dev/null
+++ b/lectures/_static/lecture_specific/markov_chains_II/Irre_2
@@ -0,0 +1,12 @@
+digraph {
+	rankdir=LR
+	poor
+	"middle class"
+	rich
+	poor -> poor [label=1.0]
+	"middle class" -> poor [label=0.1]
+	"middle class" -> "middle class" [label=0.8]
+	"middle class" -> rich [label=0.1]
+	rich -> "middle class" [label=0.2]
+	rich -> rich [label=0.8]
+}
diff --git a/lectures/_static/lecture_specific/markov_chains_II/Irre_2.png b/lectures/_static/lecture_specific/markov_chains_II/Irre_2.png
index 504a3064..2661a247 100644
Binary files a/lectures/_static/lecture_specific/markov_chains_II/Irre_2.png and b/lectures/_static/lecture_specific/markov_chains_II/Irre_2.png differ
diff --git a/lectures/_static/lecture_specific/markov_chains_II/example4 b/lectures/_static/lecture_specific/markov_chains_II/example4
new file mode 100644
index 00000000..bd512c73
--- /dev/null
+++ b/lectures/_static/lecture_specific/markov_chains_II/example4
@@ -0,0 +1,7 @@
+digraph {
+	rankdir=LR
+	0
+	1
+	0 -> 1 [label=1.0]
+	1 -> 0 [label=1.0]
+}
diff --git a/lectures/_static/lecture_specific/markov_chains_II/figures.ipynb b/lectures/_static/lecture_specific/markov_chains_II/figures.ipynb
new file mode 100644
index 00000000..8f80f1db
--- /dev/null
+++ b/lectures/_static/lecture_specific/markov_chains_II/figures.ipynb
@@ -0,0 +1,191 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b5a640be-e2e4-4841-bcda-95f6660fd9fe",
+   "metadata": {},
+   "source": [
+    "# Figures for Markov Chain II"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "f8a64d7b-2ffd-4974-a1dd-ec14d8e44102",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting graphviz\n",
+      "  Using cached graphviz-0.20.3-py3-none-any.whl.metadata (12 kB)\n",
+      "Using cached graphviz-0.20.3-py3-none-any.whl (47 kB)\n",
+      "Installing collected packages: graphviz\n",
+      "Successfully installed graphviz-0.20.3\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install graphviz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "43d55bea-fd00-4583-8d89-830151b6c36c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from graphviz import Digraph"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4185ae75-3a1c-4f89-ad74-1950d344ba56",
+   "metadata": {},
+   "source": [
+    "## Irreducibility"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "53a8bb26-a6e8-421c-abcc-535031d5a69b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Irre_1.png'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dot = Digraph(format='png')\n",
+    "dot.attr(rankdir='LR')\n",
+    "dot.node(\"poor\")\n",
+    "dot.node(\"middle class\")\n",
+    "dot.node(\"rich\")\n",
+    "\n",
+    "dot.edge(\"poor\", \"poor\", label=\"0.9\")\n",
+    "dot.edge(\"poor\", \"middle class\", label=\"0.1\")\n",
+    "dot.edge(\"middle class\", \"poor\", label=\"0.4\")\n",
+    "dot.edge(\"middle class\", \"middle class\", label=\"0.4\")\n",
+    "dot.edge(\"middle class\", \"rich\", label=\"0.2\")\n",
+    "dot.edge(\"rich\", \"poor\", label=\"0.1\")\n",
+    "dot.edge(\"rich\", \"middle class\", label=\"0.1\")\n",
+    "dot.edge(\"rich\", \"rich\", label=\"0.8\")\n",
+    "\n",
+    "dot\n",
+    "dot.render(filename='Irre_1')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "4e96fd64-a1ab-4a6e-a5d6-a64767f6181e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Irre_2.png'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dot = Digraph(format='png')\n",
+    "dot.attr(rankdir='LR')\n",
+    "dot.node(\"poor\")\n",
+    "dot.node(\"middle class\")\n",
+    "dot.node(\"rich\")\n",
+    "\n",
+    "dot.edge(\"poor\", \"poor\", label=\"1.0\")\n",
+    "dot.edge(\"middle class\", \"poor\", label=\"0.1\")\n",
+    "dot.edge(\"middle class\", \"middle class\", label=\"0.8\")\n",
+    "dot.edge(\"middle class\", \"rich\", label=\"0.1\")\n",
+    "dot.edge(\"rich\", \"middle class\", label=\"0.2\")\n",
+    "dot.edge(\"rich\", \"rich\", label=\"0.8\")\n",
+    "\n",
+    "dot\n",
+    "dot.render(filename='Irre_2')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d7441a9-7753-4922-8276-3d26a26798cf",
+   "metadata": {},
+   "source": [
+    "## Example 4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "850376db-6922-4440-af89-c50b0e6b5050",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'example4.png'"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dot = Digraph(format='png')\n",
+    "dot.attr(rankdir='LR')\n",
+    "dot.node(\"0\")\n",
+    "dot.node(\"1\")\n",
+    "\n",
+    "dot.edge(\"0\", \"1\", label=\"1.0\")\n",
+    "dot.edge(\"1\", \"0\", label=\"1.0\")\n",
+    "\n",
+    "dot\n",
+    "dot.render(filename='example4')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5f9c4db0-812a-4131-803f-024ae5b61772",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/lectures/_static/lecture_specific/networks/figures.ipynb b/lectures/_static/lecture_specific/networks/figures.ipynb
new file mode 100644
index 00000000..80294ae8
--- /dev/null
+++ b/lectures/_static/lecture_specific/networks/figures.ipynb
@@ -0,0 +1,284 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4f255add-dde2-4452-a242-a2894610a0e8",
+   "metadata": {},
+   "source": [
+    "# Figures for Networks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "59d90e63-793c-41b0-8e52-3fce04b007e9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: graphviz in /Users/mmcky/anaconda3/envs/quantecon/lib/python3.11/site-packages (0.20.3)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install graphviz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "56974a99-d93c-4e03-b9b4-99a6259dfd9b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from graphviz import Digraph"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "79c35279-6a32-43cf-b7ee-ef955a962080",
+   "metadata": {},
+   "source": [
+    "## Markov chains"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "a6cd7b6c-55a6-4e7f-a464-76d3514ad6cc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'mc.png'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dot = Digraph(format='png')\n",
+    "dot.attr(rankdir='LR')\n",
+    "\n",
+    "dot.node(\"ng\")\n",
+    "dot.node(\"mr\")\n",
+    "dot.node(\"sr\")\n",
+    "\n",
+    "dot.edge(\"ng\", \"ng\", label=\"0.971\")\n",
+    "dot.edge(\"ng\", \"mr\", label=\"0.029\")\n",
+    "dot.edge(\"mr\", \"ng\", label=\"0.145\")\n",
+    "dot.edge(\"mr\", \"mr\", label=\"0.778\")\n",
+    "dot.edge(\"mr\", \"sr\", label=\"0.077\")\n",
+    "dot.edge(\"sr\", \"mr\", label=\"0.508\")\n",
+    "dot.edge(\"sr\", \"sr\", label=\"0.492\")\n",
+    "\n",
+    "dot\n",
+    "dot.render(filename='mc')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "53ffff16-f367-45f1-9e8f-0964cde5c8e9",
+   "metadata": {},
+   "source": [
+    "## Poverty trap"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "306687a2-a76d-43ce-afb2-83380cccf258",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'poverty_trap_1.png'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dot = Digraph(format='png',engine = \"neato\")\n",
+    "dot.attr(rankdir='LR')\n",
+    "dot.node(\"poor\", pos='0,0!')\n",
+    "dot.node(\"middle class\", pos='2,1!')\n",
+    "dot.node(\"rich\", pos='4,0!')\n",
+    "\n",
+    "dot.edge(\"poor\", \"poor\")\n",
+    "dot.edge(\"poor\", \"middle class\")\n",
+    "dot.edge(\"middle class\", \"poor\")\n",
+    "dot.edge(\"middle class\", \"middle class\")\n",
+    "dot.edge(\"middle class\", \"rich\")\n",
+    "dot.edge(\"rich\", \"poor\")\n",
+    "dot.edge(\"rich\", \"middle class\")\n",
+    "dot.edge(\"rich\", \"rich\")\n",
+    "\n",
+    "dot\n",
+    "dot.render(filename='poverty_trap_1')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "599034ae-48c3-4fdb-bcbb-e13b054e7ff0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'poverty_trap_2.png'"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dot = Digraph(format='png',engine=\"neato\")\n",
+    "dot.attr(rankdir='LR')\n",
+    "dot.node(\"poor\", pos='0,0!')\n",
+    "dot.node(\"middle class\", pos='2,1!')\n",
+    "dot.node(\"rich\", pos='4,0!')\n",
+    "\n",
+    "dot.edge(\"poor\", \"poor\")\n",
+    "dot.edge(\"middle class\", \"poor\")\n",
+    "dot.edge(\"middle class\", \"middle class\")\n",
+    "dot.edge(\"middle class\", \"rich\")\n",
+    "dot.edge(\"rich\", \"poor\")\n",
+    "dot.edge(\"rich\", \"middle class\")\n",
+    "dot.edge(\"rich\", \"rich\")\n",
+    "\n",
+    "dot\n",
+    "dot.render(filename='poverty_trap_2')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "78888c53-c5f2-4766-9943-321cc91cb9af",
+   "metadata": {},
+   "source": [
+    "## Weighted directed graph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "3aa21b51-3b55-4d31-ad0c-880e896b7a48",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'weighted.png'"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dot = Digraph(format='png')\n",
+    "\n",
+    "dot.attr(rankdir='LR')\n",
+    "dot.node(\"poor\")\n",
+    "dot.node(\"middle class\")\n",
+    "dot.node(\"rich\")\n",
+    "\n",
+    "dot.edge(\"poor\", \"poor\", label='0.9')\n",
+    "dot.edge(\"poor\", \"middle class\", label='0.1')\n",
+    "dot.edge(\"middle class\", \"poor\", label='0.4')\n",
+    "dot.edge(\"middle class\", \"middle class\", label='0.4')\n",
+    "dot.edge(\"middle class\", \"rich\", label='0.2')\n",
+    "dot.edge(\"rich\", \"poor\", label='0.1')\n",
+    "dot.edge(\"rich\", \"middle class\", label='0.1')\n",
+    "dot.edge(\"rich\", \"rich\", label='0.8')\n",
+    "\n",
+    "dot\n",
+    "dot.render(filename='weighted')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e51acec4-a10b-4b9b-a757-835acff0d965",
+   "metadata": {},
+   "source": [
+    "## Properties"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "a88964ae-0fed-4e07-b075-1db97fbfb5f3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'properties.png'"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dot = Digraph(format='png')\n",
+    "\n",
+    "dot.attr(rankdir='LR')\n",
+    "dot.node('1')\n",
+    "dot.node('2')\n",
+    "dot.node('3')\n",
+    "\n",
+    "dot.edge('1', '2', label='0.7')\n",
+    "dot.edge('1', '3', label='0.3')\n",
+    "dot.edge('2', '1', label='1')\n",
+    "dot.edge('3', '1', label='0.4')\n",
+    "dot.edge('3', '2', label='0.6')\n",
+    "\n",
+    "dot\n",
+    "dot.render(filename='properties')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e6703ea-321a-47d8-b4c8-9f4013e699df",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/lectures/_static/lecture_specific/networks/mc b/lectures/_static/lecture_specific/networks/mc
new file mode 100644
index 00000000..ca9ddc78
--- /dev/null
+++ b/lectures/_static/lecture_specific/networks/mc
@@ -0,0 +1,13 @@
+digraph {
+	rankdir=LR
+	ng
+	mr
+	sr
+	ng -> ng [label=0.971]
+	ng -> mr [label=0.029]
+	mr -> ng [label=0.145]
+	mr -> mr [label=0.778]
+	mr -> sr [label=0.077]
+	sr -> mr [label=0.508]
+	sr -> sr [label=0.492]
+}
diff --git a/lectures/_static/lecture_specific/networks/mc.png b/lectures/_static/lecture_specific/networks/mc.png
index 774b4092..caeccf2b 100644
Binary files a/lectures/_static/lecture_specific/networks/mc.png and b/lectures/_static/lecture_specific/networks/mc.png differ
diff --git a/lectures/_static/lecture_specific/networks/poverty_trap_1 b/lectures/_static/lecture_specific/networks/poverty_trap_1
new file mode 100644
index 00000000..5c89dba8
--- /dev/null
+++ b/lectures/_static/lecture_specific/networks/poverty_trap_1
@@ -0,0 +1,14 @@
+digraph {
+	rankdir=LR
+	poor [pos="0,0!"]
+	"middle class" [pos="2,1!"]
+	rich [pos="4,0!"]
+	poor -> poor
+	poor -> "middle class"
+	"middle class" -> poor
+	"middle class" -> "middle class"
+	"middle class" -> rich
+	rich -> poor
+	rich -> "middle class"
+	rich -> rich
+}
diff --git a/lectures/_static/lecture_specific/networks/poverty_trap_1.png b/lectures/_static/lecture_specific/networks/poverty_trap_1.png
index 892162c3..e3bda2a6 100644
Binary files a/lectures/_static/lecture_specific/networks/poverty_trap_1.png and b/lectures/_static/lecture_specific/networks/poverty_trap_1.png differ
diff --git a/lectures/_static/lecture_specific/networks/poverty_trap_2 b/lectures/_static/lecture_specific/networks/poverty_trap_2
new file mode 100644
index 00000000..c42f3f35
--- /dev/null
+++ b/lectures/_static/lecture_specific/networks/poverty_trap_2
@@ -0,0 +1,13 @@
+digraph {
+	rankdir=LR
+	poor [pos="0,0!"]
+	"middle class" [pos="2,1!"]
+	rich [pos="4,0!"]
+	poor -> poor
+	"middle class" -> poor
+	"middle class" -> "middle class"
+	"middle class" -> rich
+	rich -> poor
+	rich -> "middle class"
+	rich -> rich
+}
diff --git a/lectures/_static/lecture_specific/networks/poverty_trap_2.png b/lectures/_static/lecture_specific/networks/poverty_trap_2.png
index 8d7f9fa2..71f2d31b 100644
Binary files a/lectures/_static/lecture_specific/networks/poverty_trap_2.png and b/lectures/_static/lecture_specific/networks/poverty_trap_2.png differ
diff --git a/lectures/_static/lecture_specific/networks/properties b/lectures/_static/lecture_specific/networks/properties
new file mode 100644
index 00000000..8084a013
--- /dev/null
+++ b/lectures/_static/lecture_specific/networks/properties
@@ -0,0 +1,11 @@
+digraph {
+	rankdir=LR
+	1
+	2
+	3
+	1 -> 2 [label=0.7]
+	1 -> 3 [label=0.3]
+	2 -> 1 [label=1]
+	3 -> 1 [label=0.4]
+	3 -> 2 [label=0.6]
+}
diff --git a/lectures/_static/lecture_specific/networks/properties.png b/lectures/_static/lecture_specific/networks/properties.png
index db717df6..70986889 100644
Binary files a/lectures/_static/lecture_specific/networks/properties.png and b/lectures/_static/lecture_specific/networks/properties.png differ
diff --git a/lectures/_static/lecture_specific/networks/weighted b/lectures/_static/lecture_specific/networks/weighted
new file mode 100644
index 00000000..5828da69
--- /dev/null
+++ b/lectures/_static/lecture_specific/networks/weighted
@@ -0,0 +1,14 @@
+digraph {
+	rankdir=LR
+	poor
+	"middle class"
+	rich
+	poor -> poor [label=0.9]
+	poor -> "middle class" [label=0.1]
+	"middle class" -> poor [label=0.4]
+	"middle class" -> "middle class" [label=0.4]
+	"middle class" -> rich [label=0.2]
+	rich -> poor [label=0.1]
+	rich -> "middle class" [label=0.1]
+	rich -> rich [label=0.8]
+}
diff --git a/lectures/_static/lecture_specific/networks/weighted.png b/lectures/_static/lecture_specific/networks/weighted.png
index a8eaf072..5510b4d7 100644
Binary files a/lectures/_static/lecture_specific/networks/weighted.png and b/lectures/_static/lecture_specific/networks/weighted.png differ