diff --git a/.idea/AlgoDatSoSe25.iml b/.idea/AlgoDatSoSe25.iml
index 982282a..bf024fa 100644
--- a/.idea/AlgoDatSoSe25.iml
+++ b/.idea/AlgoDatSoSe25.iml
@@ -5,7 +5,7 @@
       <excludeFolder url="file://$MODULE_DIR$/.venv" />
       <excludeFolder url="file://$MODULE_DIR$/venv" />
     </content>
-    <orderEntry type="jdk" jdkName="Python 3.12 (SoSe25)" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="Python 3.12 (AlgoDatSoSe25)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
 </module>
\ No newline at end of file
diff --git a/vorlesung/04_besondere_sortierverfahren/count_sorting.py b/vorlesung/04_besondere_sortierverfahren/count_sorting.py
new file mode 100644
index 0000000..507115d
--- /dev/null
+++ b/vorlesung/04_besondere_sortierverfahren/count_sorting.py
@@ -0,0 +1,60 @@
+from utils.memory_array import MemoryArray
+from utils.memory_cell import MemoryCell
+from utils.memory_manager import MemoryManager
+from utils.memory_range import mrange
+from utils.literal import Literal
+
+
+
+def count_sort(a: MemoryArray, b: MemoryArray, k: int):
+    c = MemoryArray(Literal(k + 1))
+    for i in mrange(Literal(k + 1)):
+        c[i].set(Literal(0))
+
+    for j in mrange(a.length()):
+        c[a[j]].set(c[a[j]].succ())
+
+    for i in mrange(Literal(1), Literal(k + 1)):
+        c[i].set(int(c[i]) + int(c[i.pred()]))
+
+    for j in mrange(a.length().pred(), Literal(-1), Literal(-1)):
+        b[c[a[j]].pred()].set(a[j])
+        c[a[j]].set(c[a[j]].pred())
+
+
+
+def analyze_complexity(sizes, presorted=False):
+    """
+    Analysiert die Komplexität einer Sortierfunktion.
+
+    :param sizes: Eine Liste von Eingabegrößen für die Analyse.
+    """
+    for size in sizes:
+        MemoryManager.purge()  # Speicher zurücksetzen
+        if presorted:
+            random_array = MemoryArray.create_sorted_array(size, 0, 100)
+        else:
+            random_array = MemoryArray.create_random_array(size, 0, 100)
+        dest_array = MemoryArray(Literal(size))
+        count_sort(random_array, dest_array, 100)
+        MemoryManager.save_stats(size)
+
+    MemoryManager.plot_stats(["cells", "compares", "writes"])
+
+
+def swap(z: MemoryArray, i: int, j: int):
+    tmp = z[Literal(i)].value
+    z[Literal(i)] = z[Literal(j)]
+    z[Literal(j)].set(tmp)
+
+
+if __name__ == '__main__':
+
+    # Test the count_sort function
+    a = MemoryArray([2, 5, 3, 0, 2, 3, 0, 3])
+    b = MemoryArray(Literal(len(a)))
+    count_sort(a, b, 5)
+
+    sizes = range(10, 101, 10)
+    analyze_complexity(sizes)
+    # analyze_complexity(sizes, True)
diff --git a/vorlesung/05_binaere_baeume/bin_search.py b/vorlesung/05_binaere_baeume/bin_search.py
new file mode 100644
index 0000000..1bb0299
--- /dev/null
+++ b/vorlesung/05_binaere_baeume/bin_search.py
@@ -0,0 +1,61 @@
+import random
+
+from utils.memory_array import MemoryArray
+from utils.memory_cell import MemoryCell
+from utils.memory_manager import MemoryManager
+from utils.memory_range import mrange
+from utils.literal import Literal
+
+
+def binary_search(z: MemoryArray, s: MemoryCell, l: Literal = None, r: Literal = None):
+    """
+    Perform a binary search on the sorted array z for the value x.
+    """
+    if l is None:
+        l = Literal(0)
+    if r is None:
+        r = Literal(z.length().pred())
+    if l > r:
+        return None
+    with MemoryCell(l) as m:
+        m += r
+        m //= Literal(2)
+        if s < z[m]:
+            return binary_search(z, s, l, m.pred())
+        elif s > z[m]:
+            return binary_search(z, s, m.succ(), r)
+        else:
+            return m
+
+
+def analyze_complexity(sizes):
+    """
+    Analysiert die Komplexität
+
+    :param sizes: Eine Liste von Eingabegrößen für die Analyse.
+    """
+    for size in sizes:
+        MemoryManager.purge()  # Speicher zurücksetzen
+        random_array = MemoryArray.create_sorted_array(size)
+        search_value = random.randint(-100, 100)
+        binary_search(random_array, MemoryCell(search_value))
+        MemoryManager.save_stats(size)
+
+    MemoryManager.plot_stats(["cells", "compares", "adds"])
+
+
+
+
+if __name__ == "__main__":
+    # Example usage
+    arr = MemoryArray([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
+    search_value = MemoryCell(8)
+    result = binary_search(arr, search_value)
+    if result is not None:
+        print(f"Value {search_value} found at index {result}.")
+    else:
+        print(f"Value {search_value} not found in the array.")
+
+
+    sizes = range(1, 1001, 2)
+    analyze_complexity(sizes)