diff --git a/ex1/computeCost.m b/ex1/computeCost.m
index 93eb14c..c68149a 100644
--- a/ex1/computeCost.m
+++ b/ex1/computeCost.m
@@ -13,7 +13,8 @@ J = 0;
 % Instructions: Compute the cost of a particular choice of theta
 %               You should set J to the cost.
 
-
+hx = X*theta;
+J = sum((hx - y).^2)/(2*m);
 
 
 
diff --git a/ex1/computeCostMulti.m b/ex1/computeCostMulti.m
index d9a3d68..d34c970 100644
--- a/ex1/computeCostMulti.m
+++ b/ex1/computeCostMulti.m
@@ -14,7 +14,8 @@ J = 0;
 %               You should set J to the cost.
 
 
-
+hx = X*theta;
+J = sum((hx - y).^2)/(2*m);
 
 
 % =========================================================================
diff --git a/ex1/ex1_multi.m b/ex1/ex1_multi.m
index f733012..f1de379 100644
--- a/ex1/ex1_multi.m
+++ b/ex1/ex1_multi.m
@@ -105,7 +105,7 @@ fprintf('\n');
 % Recall that the first column of X is all-ones. Thus, it does
 % not need to be normalized.
 price = 0; % You should change this
-
+price = [1, 1650, 3]*theta;
 
 % ============================================================
 
@@ -150,7 +150,7 @@ fprintf('\n');
 % Estimate the price of a 1650 sq-ft, 3 br house
 % ====================== YOUR CODE HERE ======================
 price = 0; % You should change this
-
+price = [1, 1650, 3]*theta;
 
 % ============================================================
 
diff --git a/ex1/featureNormalize.m b/ex1/featureNormalize.m
index bb5d072..3d1d262 100644
--- a/ex1/featureNormalize.m
+++ b/ex1/featureNormalize.m
@@ -26,9 +26,10 @@ sigma = zeros(1, size(X, 2));
 % Hint: You might find the 'mean' and 'std' functions useful.
 %       
 
-
-
-
+mu = mean(X);
+X_norm .-= mu;
+sigma = std(X);
+X_norm ./= sigma;
 
 
 
diff --git a/ex1/gradientDescent.m b/ex1/gradientDescent.m
index 57b4d3c..9e8fc59 100644
--- a/ex1/gradientDescent.m
+++ b/ex1/gradientDescent.m
@@ -18,7 +18,8 @@ for iter = 1:num_iters
     %
 
 
-
+    hx = X*theta;
+    theta -= (alpha*sum((hx-y).*X)/m)';
 
 
 
diff --git a/ex1/gradientDescentMulti.m b/ex1/gradientDescentMulti.m
index e5e1b7e..56f6978 100644
--- a/ex1/gradientDescentMulti.m
+++ b/ex1/gradientDescentMulti.m
@@ -20,7 +20,8 @@ for iter = 1:num_iters
 
 
 
-
+    hx = X*theta;
+    theta -= (alpha*sum((hx-y).*X)/m)';
 
 
 
diff --git a/ex1/normalEqn.m b/ex1/normalEqn.m
index d32cd8e..9f36913 100644
--- a/ex1/normalEqn.m
+++ b/ex1/normalEqn.m
@@ -12,7 +12,7 @@ theta = zeros(size(X, 2), 1);
 
 % ---------------------- Sample Solution ----------------------
 
-
+theta = pinv(X'*X)*X'*y;
 
 
 % -------------------------------------------------------------
diff --git a/ex1/plotData.m b/ex1/plotData.m
index f50a677..889c69e 100644
--- a/ex1/plotData.m
+++ b/ex1/plotData.m
@@ -17,7 +17,9 @@ figure; % open a new figure window
 %       markers larger by using plot(..., 'rx', 'MarkerSize', 10);
 
 
-
+plot(x, y, 'rx', 'MarkerSize', 10);
+ylabel('Profit in $10,000s');
+xlabel('Population of City in 10,000s');
 
 
 % ============================================================
diff --git a/ex1/token.mat b/ex1/token.mat
new file mode 100644
index 0000000..09c81b0
--- /dev/null
+++ b/ex1/token.mat
@@ -0,0 +1,15 @@
+# Created by Octave 4.2.1, Sun May 28 17:11:16 2017 GMT <unknown@unknown>
+# name: email
+# type: sq_string
+# elements: 1
+# length: 16
+mjjo53@gmail.com
+
+
+# name: token
+# type: sq_string
+# elements: 1
+# length: 16
+9Dxrb898sAaadc8j
+
+
diff --git a/ex1/warmUpExercise.m b/ex1/warmUpExercise.m
index 4ab8187..524f568 100644
--- a/ex1/warmUpExercise.m
+++ b/ex1/warmUpExercise.m
@@ -11,7 +11,7 @@ A = [];
 
 
 
-
+A = eye(5);