diff --git a/midterm_prep/182.py b/midterm_prep/182.py
new file mode 100755
index 0000000..3d0b071
--- /dev/null
+++ b/midterm_prep/182.py
@@ -0,0 +1,37 @@
+#!/usr/bin/env python3
+
+import sys
+
+def UFM(A):
+    if len(A) == 0:
+        return None
+
+    m = 0
+    M = len(A)
+
+    while M - 1 != m:
+        if M - 2 == m:
+            if A[m] > A[m + 1]:
+                return A[m]
+            else:
+                return A[m + 1]
+
+        lh = (M - m) // 2
+
+        if A[lh - 1] < A[lh] and A[lh] > A[lh + 1]:
+            return A[lh]
+        elif A[lh - 1] < A[lh]:
+            m = lh
+        else:
+            M = lh
+
+    return A[m]
+
+A = []
+for line in sys.stdin:
+    line = line.strip()
+    if line == '' or line == '\n':
+        break
+    A.append(int(line))
+
+print(UFM(A))
diff --git a/midterm_prep/202_max_distance.py b/midterm_prep/202_max_distance.py
new file mode 100755
index 0000000..842a484
--- /dev/null
+++ b/midterm_prep/202_max_distance.py
@@ -0,0 +1,26 @@
+#!/usr/bin/env python3
+
+import sys
+
+def maximal_distance(A):
+    if len(A) == 0:
+        return None
+
+    max_n = A[0]
+    min_n = A[0]
+
+    for i in range(1,len(A)):
+        if max_n < A[i]:
+            max_n = A[i]
+        elif min_n > A[i]:
+            min_n = A[i]
+
+    return max_n - min_n
+
+A = []
+for line in sys.stdin:
+    if line[0] == '\n':
+        break
+    A.append(int(line))
+
+print(maximal_distance(A))
diff --git a/midterm_prep/207.py b/midterm_prep/207.py
new file mode 100755
index 0000000..06e4df3
--- /dev/null
+++ b/midterm_prep/207.py
@@ -0,0 +1,33 @@
+#!/usr/bin/env python3
+
+import sys
+
+def better_algo_X(A):
+    B = A.copy()
+    B.sort() # assume mergesort for theta (n * log(n))
+
+    x = 1
+    y = B[0]
+    k = 1
+
+    print(B)
+
+    for k in range(1, len(B)):
+        if B[k] == B[k - 1]:
+            k = k + 1
+        else:
+            if k > x:
+                y = B[k - 1]
+                x = k
+            k = 1
+
+    return y
+
+A = []
+for line in sys.stdin:
+    line = line.strip()
+    if line == '' or line == '\n':
+        break
+    A.append(int(line))
+
+print(better_algo_X(A))