diff --git a/courseScheduler.py b/courseScheduler.py
new file mode 100644
index 00000000..3f51de18
--- /dev/null
+++ b/courseScheduler.py
@@ -0,0 +1,31 @@
+# Time Complexity : O(V + E)
+# Space Complexity : O(V + E)
+# Did this code successfully run on Leetcode : Yes
+# Any problem you faced while coding this : No
+# Approach: Build a graph using adjacency list and track indegree of each course.
+# Use BFS to process courses with indegree 0 and check if all courses can be completed 
+
+
+
+class Solution:
+    def canFinish(self, numCourses: int, prerequisites: List[List[int]]) -> bool:
+        graph = [[] for _ in range(numCourses)]   
+        indegree = [0] * numCourses               
+
+        for course, prereq in prerequisites:
+            graph[prereq].append(course)
+            indegree[course] += 1
+
+        q = deque([c for c in range(numCourses) if indegree[c] == 0])
+        taken = 0
+
+        while q:
+            cur = q.popleft()
+            taken += 1
+
+            for nxt in graph[cur]:
+                indegree[nxt] -= 1
+                if indegree[nxt] == 0:
+                    q.append(nxt)
+
+        return taken == numCourses
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diff --git a/levelOrder.py b/levelOrder.py
new file mode 100644
index 00000000..61c07c88
--- /dev/null
+++ b/levelOrder.py
@@ -0,0 +1,34 @@
+# Time Complexity : O(n)
+# Space Complexity : O(n) 
+# Did this code successfully run on Leetcode : Yes
+# Any problem you faced while coding this : No
+# Approach: Use a queue to perform BFS traversal of the tree level by level.
+# For each level, process all nodes currently in the queue, collect their values, and push their children for the next level.
+
+# Definition for a binary tree node.
+# class TreeNode:
+#     def __init__(self, val=0, left=None, right=None):
+#         self.val = val
+#         self.left = left
+#         self.right = right
+class Solution:
+    def levelOrder(self, root: Optional[TreeNode]) -> List[List[int]]:
+        q = deque()
+        res = []
+        q.append(root)
+
+        while len(q):
+            dup_list = []
+            for i in range(len(q)):
+                node = q.popleft()
+                if node is not None:
+                    dup_list.append(node.val)
+                if node is not None:
+                    q.append(node.left)
+                if node is not None:
+                    q.append(node.right)
+            if dup_list:
+                res.append(dup_list)
+        return res
+
+        
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