Some final notes

examples/2024PHMTutorial.ipynb

@@ -68,7 +68,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Introduction to ProgPy"
+    "# Introduction to ProgPy (2024 NASA Software of the Year!)"
    ]
   },
   {
@@ -1774,6 +1774,7 @@
     "* Advanced Noise Representation: e.g., Other distributions\n",
     "* Complex Future Loading Methods: E.g., moving average, loading with uncertainty or functions of state\n",
     "* Custom Events: e.g., warning thresholds\n",
+    "* Data-driven models\n",
     "* Derived Parameters: parameters that are functions of other parameters\n",
     "* Direct Models: Models of state, future_loading -> Time of Event without state transition\n",
     "* Linear Models\n",
@@ -1796,35 +1797,19 @@
    "metadata": {},
    "source": [
     "* Combination Models: https://nasa.github.io/progpy/prog_models_guide.html#combination-models and 06_Combining_Models\n",
-    "* Dynamic Step Size"
+    "* Dynamic Step Size\n",
+    "* Integration Methods\n",
+    "* Serialization\n",
+    "* prog_server"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Combination Models"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "https://nasa.github.io/progpy/prog_models_guide.html#combination-models\n",
-    "\n",
-    "This section demonstrates how prognostic models can be combined. There are two times in which this is useful: \n",
+    "## Closing\n",
     "\n",
-    "1. When combining multiple models of different inter-related systems into one system-of-system model (i.e., [Composite Models](https://nasa.github.io/progpy/api_ref/prog_models/CompositeModel.html)), or\n",
-    "2. Combining multiple models of the same system to be simulated together and aggregated (i.e., [Ensemble Models](https://nasa.github.io/progpy/api_ref/prog_models/EnsembleModel.html) or [Mixture of Expert Models](https://nasa.github.io/progpy/api_ref/progpy/MixtureOfExperts.html)). This is generally done to improve the accuracy of prediction when you have multiple models that each represent part of the behavior or represent a distribution of different behaviors.\n",
-    "\n",
-    "For this example we will combine the competing models using a Mixture of Expert Model"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Closing"
+    "Thank you for attending this tutorial. ProgPy is a collaborative effort, including NASA and external collaborators. If you're interested in contributing or learning more, reach out at [email protected]"
    ]
   },
   {