diff --git a/Exercise1/exercise1.ipynb b/Exercise1/exercise1.ipynb
index 38a9faed..6f921a48 100755
--- a/Exercise1/exercise1.ipynb
+++ b/Exercise1/exercise1.ipynb
@@ -371,7 +371,7 @@
     "\n",
     "As you perform gradient descent to learn minimize the cost function $J(\\theta)$, it is helpful to monitor the convergence by computing the cost. In this section, you will implement a function to calculate $J(\\theta)$ so you can check the convergence of your gradient descent implementation. \n",
     "\n",
-    "Your next task is to complete the code for the function `computeCost` which computes $J(\\theta)$. As you are doing this, remember that the variables $X$ and $y$ are not scalar values. $X$ is a matrix whose rows represent the examples from the training set and $y$ is a vector whose each elemennt represent the value at a given row of $X$.\n",
+    "Your next task is to complete the code for the function `computeCost` which computes $J(\\theta)$. As you are doing this, remember that the variables $X$ and $y$ are not scalar values. $X$ is a matrix whose rows represent the examples from the training set and $y$ is a vector whose each element represent the value at a given row of $X$.\n",
     "<a id=\"computeCost\"></a>"
    ]
   },
diff --git a/Exercise5/exercise5.ipynb b/Exercise5/exercise5.ipynb
index 5182c278..5da0c5f5 100755
--- a/Exercise5/exercise5.ipynb
+++ b/Exercise5/exercise5.ipynb
@@ -396,7 +396,7 @@
     "        A vector of shape m. error_train[i] contains the training error for\n",
     "        i examples.\n",
     "    error_val : array_like\n",
-    "        A vecotr of shape m. error_val[i] contains the validation error for\n",
+    "        A vector of shape m. error_val[i] contains the validation error for\n",
     "        i training examples.\n",
     "    \n",
     "    Instructions\n",
diff --git a/environment.yml b/environment.yml
index 07a7a45d..624707a3 100644
--- a/environment.yml
+++ b/environment.yml
@@ -5,5 +5,6 @@ dependencies:
   - jupyter=1.0.0
   - matplotlib=2.1.2
   - numpy=1.13.3
+  - requests=2.26.0
   - python=3.6.4
   - scipy=1.0.0
diff --git a/submission.py b/submission.py
index 135b19f5..2236f4f2 100755
--- a/submission.py
+++ b/submission.py
@@ -45,7 +45,7 @@ def grade(self):
                 'feedback']
             part_evaluation = response['linked']['onDemandProgrammingScriptEvaluations.v1'][0]['parts'][str(part)]
             score = '%d / %3d' % (part_evaluation['score'], part_evaluation['maxScore'])
-            print('%43s | %9s | %-s' % (self.part_names[int(index) - 1], score, part_feedback))
+            print('%43s | %9s | %-s' % (self.part_names[int(index)], score, part_feedback))
         evaluation = response['linked']['onDemandProgrammingScriptEvaluations.v1'][0]
         total_score = '%d / %d' % (evaluation['score'], evaluation['maxScore'])
         print('                                  --------------------------------')