diff --git a/6th-Semester-Spring-2024/DSP/Quizzes/FinalExam/answer_sheet.docx b/6th-Semester-Spring-2024/DSP/Quizzes/FinalExam/answer_sheet.docx
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diff --git a/6th-Semester-Spring-2024/DSP/Quizzes/FinalExam/circular_convolve.py b/6th-Semester-Spring-2024/DSP/Quizzes/FinalExam/circular_convolve.py
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--- /dev/null
+++ b/6th-Semester-Spring-2024/DSP/Quizzes/FinalExam/circular_convolve.py
@@ -0,0 +1,38 @@
+import numpy as np
+import scipy.signal
+
+def shifter(matrix):
+    last = matrix[len(matrix)-1]
+    x = len(matrix)
+    result = [0] * x
+    for i in range(1,len(matrix)):
+        result[i] = matrix[i-1]
+    result[0] = last
+    return result
+
+def circular_convolve(x,h,n,m):
+    primary_matrix = np.zeros((max(n,m),max(n,m)))
+    for i in range(0,len(primary_matrix[0])):
+        primary_matrix[0][i] = x[i]
+    for i in range(1,max(n,m)):
+        primary_matrix[i] = shifter(primary_matrix[i-1])
+        ultimate_matrix = np.transpose(primary_matrix)
+    difference_in_length = abs(n-m)
+    for i in range(m,m+difference_in_length):
+         h.append(0)
+    resultant = np.dot(ultimate_matrix,h)
+    return resultant
+
+X = np.ones(10)
+X[0] += 2
+H = np.zeros(10)
+H[0] += 1
+
+y = np.fft.ifft(H*X)
+print(np.sum(y))
+
+#lin_conv = scipy.signal.fftconvolve(x,h,"full")
+#circ_conv = circular_convolve(x, h, len(x), len(x))
+#
+#print(f"Linear convolution: {lin_conv}")
+#print(f"Circular convolution: {circ_conv}")
diff --git a/6th-Semester-Spring-2024/EnI/Group Work/RUFIT-01.png b/6th-Semester-Spring-2024/EnI/Group Work/RUFIT-01.png
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diff --git a/6th-Semester-Spring-2024/SysCon/Final Project/Buck-Boost Converter PID Tune.pptx b/6th-Semester-Spring-2024/SysCon/Final Project/Buck-Boost Converter PID Tune.pptx
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diff --git a/6th-Semester-Spring-2024/SysCon/Final Project/PID-tune/pid_values.py b/6th-Semester-Spring-2024/SysCon/Final Project/PID-tune/pid_values.py
index 7305dda..40d0a03 100644
--- a/6th-Semester-Spring-2024/SysCon/Final Project/PID-tune/pid_values.py	
+++ b/6th-Semester-Spring-2024/SysCon/Final Project/PID-tune/pid_values.py	
@@ -1,10 +1,12 @@
 Tu = 0.2
 Ku = 0.022
 
+# Ziegler-Nichols PID Tune
 Kp_pid = 0.6*Ku
 Ki_pid = 1.2*Ku/Tu
 Kd_pid = 0.075*Ku*Tu
 
+# Ziegler-Nichols No OS
 Kp_no_os = 0.2*Ku
 Ki_no_os = 0.4*Ku/Tu
 Kd_no_os = 0.066*Ku*Tu