diff --git a/instructions.html b/instructions.html
index 34aff3f..60fbfc0 100644
--- a/instructions.html
+++ b/instructions.html
@@ -117,12 +117,17 @@ <h2>Instructions for Research Project</h2>
       <p>Follow these detailed instructions to complete the research project:</p>
       <ul>
         <li>1. Solidify Your Physics and Math Foundations
+            <br>
+            <br>
             Astrophysics Basics: Ensure you're familiar with core concepts in astrophysics such as stellar dynamics, cosmology, black holes, galaxy formation, and gravitational interactions.
+            <br>
             Mathematics: Computational astrophysics relies heavily on differential equations (especially partial differential equations), linear algebra, numerical methods, and statistics. Strengthen these areas as they'll underpin much of the computational work.</li>
+            <br>
         <li>2. Learn Essential Programming Skills
+            <br>
             Languages: Python is widely used in computational physics and astrophysics because of its readability and powerful libraries (e.g., NumPy, SciPy, Matplotlib, Astropy). However, C/C++, and Fortran are also used for more intensive simulations.
-            Learn Python for quick prototyping and data analysis.
-            Consider C++ or Fortran for high-performance simulations.
+            Learn Python for quick prototyping and data analysis. Consider C11, C++ or Fortran for high-performance simulations.
+            <br>
             Libraries & Tools:
             NumPy/SciPy: For numerical computation.
             Matplotlib: For visualization.