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diff --git a/source/lessons/uniform buffer objects/math.h b/source/lessons/uniform buffer objects/math.h
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+#ifndef MATH_H
+#define MATH_H
+
+#define PI 3.14159265358979323846264338327950288f
+#define Square(x) ((x)*(x))
+#define To_Radian(x) ((x) * PI / 180.0f)
+#define To_Degree(x) ((x) * 180.0f / PI)
+
+r32 clampf(r32 x, r32 bottom, r32 top)
+{
+    if (x < bottom)
+    {
+        x = bottom;
+    } 
+    else if (x > top)
+    {
+        x = top;
+    }
+    
+    return x;
+}
+
+// ==== Vector Math ====
+
+union Vec2 {
+  struct {
+    r32 x;
+    r32 y;
+  };
+  r32 data[2];
+};
+
+union Vec3 {
+	struct {
+		r32 x;
+		r32 y;
+		r32 z;
+	};
+	r32 data[3];
+};
+
+union Vec4 {
+	struct {
+		r32 x;
+		r32 y;
+		r32 z;
+		r32 w;
+	};
+	r32 data[4];
+};
+
+union Mat4 {
+	Vec4 xyzw[4];
+	r32 data[4][4];
+	r32 buffer[16];
+};
+
+// ========================================================== Vec3 ==========================================================
+
+Vec3 init3v(r32 x, r32 y, r32 z)
+{
+	Vec3 res;
+	res.x = x;
+	res.y = y;
+	res.z = z;
+    
+	return res;
+}
+
+Vec3 scaler_add3v(Vec3 vec, r32 scaler)
+{
+	Vec3 res;
+	res.x = vec.x + scaler;
+	res.y = vec.y + scaler;
+	res.z = vec.z + scaler;
+    
+	return res;
+}
+
+Vec3 scaler_multiply3v(Vec3 vec, r32 scaler)
+{
+	Vec3 res;
+	res.x = vec.x * scaler;
+	res.y = vec.y * scaler;
+	res.z = vec.z * scaler;
+    
+	return res;
+}
+
+Vec3 scaler_divide3v(Vec3 vec, r32 scaler)
+{
+	Vec3 res;
+	res.x = vec.x / scaler;
+	res.y = vec.y / scaler;
+	res.z = vec.z / scaler;
+    
+	return res;
+}
+
+
+Vec3 add3v(Vec3 a, Vec3 b)
+{
+	Vec3 res;
+	res.x = a.x + b.x;
+	res.y = a.y + b.y;
+	res.z = a.z + b.z;
+    
+	return res;
+}
+
+Vec3 subtract3v(Vec3 a, Vec3 b)
+{
+	Vec3 res;
+	res.x = a.x - b.x;
+	res.y = a.y - b.y;
+	res.z = a.z - b.z;
+    
+	return res;
+}
+
+r32 dot_multiply3v(Vec3 a, Vec3 b)
+{
+	r32 x = a.x * b.x;
+	r32 y = a.y * b.y;
+	r32 z = a.z * b.z;
+    
+	r32 res = x + y + z;
+    
+	return res;
+}
+
+r32 magnitude3v(Vec3 vec)
+{
+	r32 res = sqrtf(Square(vec.x) + Square(vec.y) + Square(vec.z));
+	return res;
+}
+
+Vec3 normalize3v(Vec3 vec)
+{
+	r32 magnitude = magnitude3v(vec);
+	Vec3 res = scaler_divide3v(vec, magnitude);
+	return res;
+}
+
+#ifndef FUN_CALCS
+r32 angle3v(Vec3 a, Vec3 b)
+{
+	Vec3 a_norm = normalize3v(a);
+	Vec3 b_norm = normalize3v(b);
+    
+	r32 dot_product = dot_multiply3v(a_norm, b_norm);
+	r32 res = acosf(dot_product);
+    
+	return res;
+}
+#endif
+
+Vec3 cross_multiply3v(Vec3 a, Vec3 b)
+{
+	Vec3 res;
+	res.x = (a.y * b.z) - (a.z * b.y);
+	res.y = (a.z * b.x) - (a.x * b.z);
+	res.z = (a.x * b.y) - (a.y * b.x);
+    
+	return res;
+}
+
+// ============================================== Vec4, Mat4 ==============================================
+
+Vec4 init4v(r32 x, r32 y, r32 z, r32 w)
+{
+	Vec4 res;
+	res.x = x;
+	res.y = y;
+	res.z = z;
+	res.w = w;
+    
+	return res;
+}
+
+Mat4 init_value4m(r32 value)
+{
+	Mat4 res = {0};
+	res.data[0][0] = value;
+	res.data[1][1] = value;
+	res.data[2][2] = value;
+	res.data[3][3] = value;
+    
+	return res;
+}
+
+// @note: These operations are just defined and not expressed. They are kept here for completeness sake BUT
+// since I have not had to do anything related to these, I have not created them.
+Vec4 scaler_add4v(Vec4 vec, r32 scaler);
+Vec4 scaler_subtract4v(Vec4 vec, r32 scaler);
+Vec4 scaler_multiply4v(Vec4 vec, r32 scaler);
+Vec4 scaler_divide4v(Vec4 vec, r32 scaler);
+Vec4 add4v(Vec4 a, Vec4 b);
+Vec4 subtract4v(Vec4 a, Vec4 b);
+Vec4 dot_multiply4v(Vec4 a, Vec4 b);
+
+Mat4 add4m(Mat4 a, Mat4 b)
+{
+	Mat4 res;
+	// row 0
+	res.data[0][0] = a.data[0][0] + b.data[0][0];
+	res.data[0][1] = a.data[0][1] + b.data[0][1];
+	res.data[0][2] = a.data[0][2] + b.data[0][2];
+	res.data[0][3] = a.data[0][3] + b.data[0][3];
+	// row 1
+	res.data[1][0] = a.data[1][0] + b.data[1][0];
+	res.data[1][1] = a.data[1][1] + b.data[1][1];
+	res.data[1][2] = a.data[1][2] + b.data[1][2];
+	res.data[1][3] = a.data[1][3] + b.data[1][3];
+	// row 2
+	res.data[2][0] = a.data[2][0] + b.data[2][0];
+	res.data[2][1] = a.data[2][1] + b.data[2][1];
+	res.data[2][2] = a.data[2][2] + b.data[2][2];
+	res.data[2][3] = a.data[2][3] + b.data[2][3];
+	// row 3
+	res.data[3][0] = a.data[3][0] + b.data[3][0];
+	res.data[3][1] = a.data[3][1] + b.data[3][1];
+	res.data[3][2] = a.data[3][2] + b.data[3][2];
+	res.data[3][3] = a.data[3][3] + b.data[3][3];
+	
+	return res;
+}
+
+Mat4 subtract4m(Mat4 a, Mat4 b)
+{
+	Mat4 res;
+	// row 0
+	res.data[0][0] = a.data[0][0] - b.data[0][0];
+	res.data[0][1] = a.data[0][1] - b.data[0][1];
+	res.data[0][2] = a.data[0][2] - b.data[0][2];
+	res.data[0][3] = a.data[0][3] - b.data[0][3];
+	// row 1
+	res.data[1][0] = a.data[1][0] - b.data[1][0];
+	res.data[1][1] = a.data[1][1] - b.data[1][1];
+	res.data[1][2] = a.data[1][2] - b.data[1][2];
+	res.data[1][3] = a.data[1][3] - b.data[1][3];
+	// row 2
+	res.data[2][0] = a.data[2][0] - b.data[2][0];
+	res.data[2][1] = a.data[2][1] - b.data[2][1];
+	res.data[2][2] = a.data[2][2] - b.data[2][2];
+	res.data[2][3] = a.data[2][3] - b.data[2][3];
+	// row 3
+	res.data[3][0] = a.data[3][0] - b.data[3][0];
+	res.data[3][1] = a.data[3][1] - b.data[3][1];
+	res.data[3][2] = a.data[3][2] - b.data[3][2];
+	res.data[3][3] = a.data[3][3] - b.data[3][3];
+    
+	return res;
+}
+
+Vec4 multiply4vm(Vec4 vec, Mat4 mat)
+{
+    /*
+     * @note: Incase I get confused about this in the future.
+     *
+     * Everything is row-order, which means that things in memory are laid out row first. So with a sample matrix
+     * we have this order in memory: r1c1 r1c2 r1c3 r1c4 r2c1 ... (r = row, c = column). The same holds true for 
+     * vectors. (maybe move this explanation to the top)
+     *
+     * Now, multiply4vm will multiply a vector with a matrix. Conventionally that does not make any sense as
+     * a vector is usually 4x1 and a matrix ix 4x4.
+     * What this function considers a vector, while it is a vector, it is infact a row from a matrix, which
+     * means that the vector is 1x4 and the matrix is 4x4.
+     * 
+     * The function is meant to supplement the matrix multiplication process to alleviate the multiple lines of code
+     * we have to write when multiplying the row of a left matrix to each column of the right matrix
+     */
+	Vec4 res = { 0 };
+	res.x = (mat.data[0][0] * vec.x) + (mat.data[0][1] * vec.y) + (mat.data[0][2] * vec.z) + (mat.data[0][3] * vec.w);
+	res.y = (mat.data[1][0] * vec.x) + (mat.data[1][1] * vec.y) + (mat.data[1][2] * vec.z) + (mat.data[1][3] * vec.w);
+	res.z = (mat.data[2][0] * vec.x) + (mat.data[2][1] * vec.y) + (mat.data[2][2] * vec.z) + (mat.data[2][3] * vec.w);
+	res.w = (mat.data[3][0] * vec.x) + (mat.data[3][1] * vec.y) + (mat.data[3][2] * vec.z) + (mat.data[3][3] * vec.w);
+	
+	return res;
+}
+
+Mat4 multiply4m(Mat4 a, Mat4 b)
+{
+	Mat4 res = { 0 };
+	
+	res.xyzw[0] = multiply4vm(a.xyzw[0], b);
+	res.xyzw[1] = multiply4vm(a.xyzw[1], b);
+	res.xyzw[2] = multiply4vm(a.xyzw[2], b);
+	res.xyzw[3] = multiply4vm(a.xyzw[3], b);
+    
+	return res;
+}
+
+// ==== Matrix Transformation ====
+
+Mat4 scaling_matrix4m(r32 x, r32 y, r32 z)	// generates a 4x4 scaling matrix for scaling each of the x,y,z axis
+{
+	Mat4 res = init_value4m(1.0f);
+	res.data[0][0] = x;
+	res.data[1][1] = y;
+	res.data[2][2] = z;
+    
+	return res;
+}
+
+Mat4 translation_matrix4m(r32 x, r32 y, r32 z)	// generates a 4x4 translation matrix for translation along each of the x,y,z axis
+{
+	Mat4 res = init_value4m(1.0f);
+	res.data[0][3] = x;
+	res.data[1][3] = y;
+	res.data[2][3] = z;
+    
+	return res;
+}
+
+Mat4 rotation_matrix4m(r32 angle_radians, Vec3 axis)	// generates a 4x4 rotation matrix for rotation along each of the x,y,z axis
+{
+	Mat4 res = init_value4m(1.0f);
+	axis = normalize3v(axis);
+	
+	r32 cos_theta = cosf(angle_radians);
+	r32 sin_theta = sinf(angle_radians);
+	r32 cos_value = 1.0f - cos_theta;
+    
+	res.data[0][0] = (axis.x * axis.x * cos_value) + cos_theta;
+	res.data[0][1] = (axis.x * axis.y * cos_value) + (axis.z * sin_theta);
+	res.data[0][2] = (axis.x * axis.z * cos_value) - (axis.y * sin_theta);
+	
+	res.data[1][0] = (axis.x * axis.y * cos_value) - (axis.z * sin_theta);
+	res.data[1][1] = (axis.y * axis.y * cos_value) + cos_theta;
+	res.data[1][2] = (axis.y * axis.z * cos_value) + (axis.x * sin_theta);
+    
+	res.data[2][0] = (axis.x * axis.z * cos_value) + (axis.y * sin_theta);
+	res.data[2][1] = (axis.z * axis.y * cos_value) - (axis.x * sin_theta);
+	res.data[2][2] = (axis.z * axis.z * cos_value) + cos_theta;
+    
+	return res;
+}
+
+Mat4 perspective_projection_matrix4m(r32 left, r32 right, r32 bottom, r32 top, r32 near, r32 far)
+{
+	Mat4 res = { 0 };
+	
+	res.data[0][0] = (2.0 * near)/(right - left);
+	res.data[0][2] = (right + left)/(right - left);
+    
+	res.data[1][1] = (2.0 * near)/(top - bottom);
+	res.data[1][2] = (top + bottom)/(top - bottom);
+    
+	res.data[2][2] = -(far + near)/(far - near);
+	res.data[2][3] = -2.0*far*near/(far - near);
+    
+	res.data[3][2] = -1.0;
+    
+	return res;
+}
+
+Mat4 perspective4m(r32 fov, r32 aspect_ratio, r32 near, r32 far)
+{
+	r32 cotangent = 1.0f / tanf(fov / 2.0f);
+	
+	Mat4 res = { 0 };
+    
+	res.data[0][0] = cotangent / aspect_ratio;
+	
+	res.data[1][1] = cotangent;
+    
+	res.data[2][2] = -(far + near) / (far - near);
+	res.data[2][3] = -2.0f * far * near / (far - near);
+    
+	res.data[3][2] = -1.0f;
+    
+	return res;
+}
+
+Mat4 lookat4m(Vec3 up, Vec3 forward, Vec3 right, Vec3 position)
+{
+	/*
+	* @note: The construction of the lookat matrix is not obvious. For that reason here is the supplemental matrial I have used to understand
+	* things while I maintain my elementary understanding of linear algebra.
+	* 1. This youtube video (https://www.youtube.com/watch?v=3ZmqJb7J5wE) helped me understand why we invert matrices. 
+	*		 It is because, we are moving from the position matrix which is a global to the view matrix which
+	*		 is a local. It won't be very clear from this illustration alone, so you would be best served watching the video and recollecting and understanding from there.
+	* 2. This article (https://twodee.org/blog/17560) derives (or rather shows), in a very shallow way how we get to the look at matrix.
+	*/
+	Mat4 res = init_value4m(1.0);
+	res.xyzw[0] = Vec4{ right.x,		right.y,	 right.z,		-dot_multiply3v(right, position) };
+	res.xyzw[1] = Vec4{ up.x,				up.y,			 up.z,			-dot_multiply3v(up, position) };
+	res.xyzw[2] = Vec4{ forward.x,  forward.y, forward.z, -dot_multiply3v(forward, position) };
+	res.xyzw[3] = Vec4{ 0.0f,				0.0f,			 0.0f,			 1.0f };
+    
+	return res;
+}
+
+Mat4 to_col_major4m(Mat4 mat)
+{
+  Mat4 res = {0.0f};
+
+  res.data[0][0] = mat.data[0][0]; res.data[1][0] = mat.data[0][1]; res.data[2][0] = mat.data[0][2]; res.data[3][0] = mat.data[0][3];
+
+  res.data[0][1] = mat.data[1][0]; res.data[1][1] = mat.data[1][1]; res.data[2][1] = mat.data[1][2]; res.data[3][1] = mat.data[1][3];
+
+  res.data[0][2] = mat.data[2][0]; res.data[1][2] = mat.data[2][1]; res.data[2][2] = mat.data[2][2]; res.data[3][2] = mat.data[2][3];
+
+  res.data[0][3] = mat.data[3][0]; res.data[1][3] = mat.data[3][1]; res.data[2][3] = mat.data[3][2]; res.data[3][3] = mat.data[3][3];
+
+  return res;
+}
+#endif