diff --git a/Manual/4_Module_2.ipynb b/Manual/4_Module_2.ipynb
index 87475a5..15be43e 100644
--- a/Manual/4_Module_2.ipynb
+++ b/Manual/4_Module_2.ipynb
@@ -603,40 +603,7 @@
    "execution_count": null,
    "source": [
     "for i, device in enumerate(sounddevice.query_devices()):\n",
-    "    print(i, device['name'])\n"
-   ]
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": [
-    "Once you have identified the index of the microphone array device from the list, you can initialize it by specifying the device index (`device_index`) and the desired sampling frequency (`Fs`).\n",
-    "\n",
-    "Here’s how you can open the audio stream using Sounddevice:"
-   ]
-  },
-  {
-   "metadata": {},
-   "cell_type": "code",
-   "outputs": [],
-   "execution_count": null,
-   "source": [
-    "import sounddevice as sd\n",
-    "\n",
-    "#device_index = 15      # your input device index\n",
-    "#Fs = 48000            # sample rate\n",
-    "\n",
-    "# Open 5‑channel float32 input stream on that device\n",
-    "#stream = sd.InputStream(\n",
-    "#    device=device_index,   # or device=(device_index, None) for in/out\n",
-    "#    channels=5,\n",
-    "#    samplerate=Fs,\n",
-    "#    dtype='float32',       # 16‑bit would be 'int16'\n",
-    "    # or True, depending on how you use it\n",
-    "#)\n",
-    "\n",
-    "#stream.start()\n",
-    "#stream.stop()"
+    "    print(i, device['name'])"
    ]
   },
   {
@@ -659,45 +626,17 @@
    "execution_count": null,
    "source": [
     "Fs = 48000\n",
-    "duration = 30\n",
+    "duration = 5\n",
     "N = int(Fs * duration)\n",
     "\n",
-    "sd.default.device = 15   # or a substring of its name\n",
-    "sd.default.samplerate = Fs\n",
+    "sounddevice.default.device = 15   # or a substring of its name\n",
+    "sounddevice.default.samplerate = Fs\n",
     "\n",
-    "samples = sd.rec(N, samplerate=Fs, channels=5)\n",
-    "sd.wait()\n",
+    "samples = sounddevice.rec(N, samplerate=Fs, channels=5)\n",
+    "sounddevice.wait()\n",
     "print(samples.shape)"
    ]
   },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": [
-    "At this point, the microphone data is **interleaved**. This means that the first value (`data[0]`) corresponds to the first sample of microphone 0, the second value (`data[1]`) corresponds to the first sample of microphone 1, and so on. For example, `data[5]` contains the second sample of microphone 0, and the pattern continues. To visualize the interleaving of the data, refer to the table below:\n",
-    "\n",
-    "| data[0] | data[1] | data[2] | data[3] | data[4] | data[5] | data[6] | data[7] | ... |\n",
-    "|---------|---------|---------|---------|---------|---------|---------|---------|-----|\n",
-    "| mic 0   | mic 1   | mic 2   | mic 3   | mic 4   | mic 0   | mic 1   | mic 2   | ... |\n",
-    "| frame 0 | frame 0 | frame 0 | frame 0 | frame 0 | frame 1 | frame 1 | frame 1 | ... |\n",
-    "\n",
-    "#### Deinterleaving the data\n",
-    "\n",
-    "To work with the data from each microphone independently, the **interleaved data** must be split into separate streams for each microphone. This process is called **deinterleaving**.\n",
-    "\n",
-    "Write a function to deinterleave the audio data and store the samples from each microphone in a separate numpy array:"
-   ]
-  },
-  {
-   "metadata": {},
-   "cell_type": "code",
-   "outputs": [],
-   "execution_count": null,
-   "source": [
-    "### Student Version ###\n",
-    "# TODO: Reshape the data into a matrix with 5 columns (one for each microphone)"
-   ]
-  },
   {
    "metadata": {},
    "cell_type": "markdown",
@@ -723,14 +662,14 @@
     "ax[2].plot(t,samples_reshaped[:,2])\n",
     "ax[3].plot(t,samples_reshaped[:,3])\n",
     "ax[4].plot(t,samples_reshaped[:,4])\n",
-    "for ax_in in ax:\n",
+    "for i,ax_in in enumerate(ax):\n",
     "    ax_in.set_xlabel('Time (s)')\n",
     "    ax_in.set_ylabel('Amplitude')\n",
+    "    ax_in.set_title(f'Mic {i}')\n",
     "fig.show()\n",
     "\n",
     "from scipy.io import wavfile\n",
-    "wavfile.write(\"./audio_beacon_67676767_10s_driving.wav\", Fs, samples_reshaped.astype(np.float32))\n",
-    "# TODO: Plot the data for each microphone"
+    "wavfile.write(\"./audio_beacon_67676767_at_x345_y101.wav\", Fs, samples_reshaped.astype(np.float32))"
    ]
   },
   {
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