diff --git a/DG_Approximation.py b/DG_Approximation.py
index 5adaef2efd33df4111108938d72502cef2e11f57..3d64716eeb6996305482d80c640a274c59e7054b 100644
--- a/DG_Approximation.py
+++ b/DG_Approximation.py
@@ -264,7 +264,7 @@ class DGScheme(object):
         adjustment: float
             Extent of adjustment of each evaluation point in x-direction.
 
-        Results
+        Returns
         -------
         np.array
             Matrix containing projection of size (N+2, p+1) with N being the number of grid cells
diff --git a/Troubled_Cell_Detector.py b/Troubled_Cell_Detector.py
index 7bd7a69f08fa792018377da771f3dff926a59749..e558187f93d846e0cb6ee3455fbefdb882ca749d 100644
--- a/Troubled_Cell_Detector.py
+++ b/Troubled_Cell_Detector.py
@@ -601,7 +601,14 @@ class Theoretical(WaveletDetector):
 
     """
     def _reset(self, config):
-        """Resets instance variables."""
+        """Resets instance variables.
+
+        Parameters
+        ----------
+        config : dict
+            Additional parameters for detector.
+
+        """
         super()._reset(config)
 
         # Unpack necessary configurations
diff --git a/Update_Scheme.py b/Update_Scheme.py
index 1081c85d4824d87eb6f889004dde76639adca59e..f5dc8d8b1f2adc4f354a4f060b2a23acefd015a7 100644
--- a/Update_Scheme.py
+++ b/Update_Scheme.py
@@ -2,10 +2,8 @@
 """
 @author: Laura C. Kühle
 
-TODO: Discuss description of matrices
-TODO: Discuss description for cfl number
+TODO: Discuss descriptions (matrices, cfl number, right-hand side, etc.)
 TODO: Discuss referencing info on SSPRK3
-TODO: Discuss description of right-hand side
 
 """
 import numpy as np
@@ -22,7 +20,6 @@ class UpdateScheme(object):
     boundary_matrix : np.array
         Matrix
 
-
     Methods
     -------
     get_name()
@@ -217,8 +214,8 @@ class SSPRK3(UpdateScheme):
     def _apply_first_step(self, original_projection, cfl_number):
         """Apply first step of SSPRK3.
 
-        Parameter
-        ---------
+        Parameters
+        ----------
         original_projection : np.array
             Matrix of original projection for each polynomial degree.
         cfl_number : float