diff --git a/exercises/03_ResistiveCompanion/CS_R1L1.ipynb b/exercises/03_ResistiveCompanion/CS_R1L1.ipynb
index 6685f2f15d2be00497dde5c494bbcec39c4a326c..db7af77605d4cb129dafc1d95ebba798b62befa6 100644
--- a/exercises/03_ResistiveCompanion/CS_R1L1.ipynb
+++ b/exercises/03_ResistiveCompanion/CS_R1L1.ipynb
@@ -40,24 +40,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3f7630bf6b614af193bf35ddada960d8",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "interactive(children=(SelectionSlider(description='time_step', layout=Layout(height='80px', width='50%'), opti…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "import ipywidgets as widget\n",
@@ -69,22 +54,7 @@
     "L1 = 1e-3\n",
     "I_src= 1\n",
     "\n",
-    "G1 = 1/R1\n",
-    "\n",
-    "#Slider function to print the selected values and return them the the widget object\n",
-    "def slider_fun(time_step, total_time):\n",
-    "    print('\\n \\n \\n' + 'Simulation time step is set to: ' + str(time_step) + ' seconds')\n",
-    "    print('Total simulation time: ' + str(total_time) + ' seconds')\n",
-    "    return time_step, total_time\n",
-    "\n",
-    "\n",
-    "#Values range for the simulation steps\n",
-    "values=[round(i*10**-7, 7) for i in range(101)]\n",
-    "\n",
-    "slider= widget.interactive(slider_fun, time_step=widget.SelectionSlider(options=[(\"%g\"%i,i) for i in values], layout=widget.Layout(width='50%', height='80px')), \n",
-    "                                    total_time=widget.FloatSlider(min=0.0, max=1, step=0.001, layout=widget.Layout(width='50%', height='80px')));\n",
-    "\n",
-    "display(slider)\n"
+    "G1 = 1/R1\n"
    ]
   },
   {
@@ -100,7 +70,7 @@
    "source": [
     "### Equation of the inductor:\n",
     "\n",
-    "$v_L(t) =L*\\frac{di_L}{dt}$\n",
+    "$v_L(t) =L\\cdot\\frac{di_L}{dt}$\n",
     "\n",
     "### Integration:   \n",
     "\n",
@@ -139,13 +109,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fd4cce24040444cd92ccfaa7cc144e07",
+       "model_id": "93d6f8a1da32411cb43dff5eddd258b8",
        "version_major": 2,
        "version_minor": 0
       },
@@ -159,12 +129,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "36e9b8fe6f59456c9075a6649b12477f",
+       "model_id": "1dab88196f4145beb49c847dfe3eaf6c",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "FloatProgress(value=0.0, max=0.18)"
+       "FloatProgress(value=0.0, max=0.0002)"
       ]
      },
      "metadata": {},
@@ -177,7 +147,10 @@
     "\n",
     "#Assign slider values to simulation parameters\n",
     "model_name = 'CS_R1L1'\n",
-    "time_step , final_time = slider.result\n",
+    "time_step = 0.0001\n",
+    "#Set final time to calculate first two simulation steps\n",
+    "final_time = 0.0002\n",
+    "\n",
     "\n",
     "# Nodes\n",
     "gnd = dpsim.emt.Node.GND()\n",
@@ -201,15 +174,48 @@
     "\n",
     "logger = dpsim.Logger(model_name)\n",
     "logger.log_attribute(n1, 'v');\n",
-    "logger.log_attribute(r1, 'i_intf');\n",
-    "logger.log_attribute(l1, 'i_intf');\n",
+    "#logger.log_attribute(r1, 'i_intf');\n",
+    "#logger.log_attribute(l1, 'i_intf');\n",
     "\n",
-    "sim = dpsim.Simulation(model_name, system, timestep=time_step, duration=final_time, pbar=True, sim_type=1,log_level=4)\n",
+    "sim = dpsim.Simulation(model_name, system, timestep=time_step, duration=final_time, pbar=True, sim_type=1, solver_type=0, log_level=4)\n",
     "sim.add_logger(logger)\n",
     "\n",
     "sim.start()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot Results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "n1.v:           -nan\n"
+     ]
+    }
+   ],
+   "source": [
+    "from villas.dataprocessing.readtools import *\n",
+    "from villas.dataprocessing.timeseries import *\n",
+    "import re\n",
+    "\n",
+    "work_dir = 'logs/'\n",
+    "model_name = 'CS_R1L1'\n",
+    "log_path = work_dir + model_name + '.csv'\n",
+    "ts_dpsim_emt = read_timeseries_dpsim(log_path, print_status=False)\n",
+    "for key, val in ts_dpsim_emt.items():\n",
+    "    print(key + ': ' + str(val.values[0]))"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},