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<title> Faculty Page @ MSMU</title>

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  <h1 class="pageTitle">Faculty</h1>
  <h2>Mathematics and Computer Science Department</h2>
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  <p>Mount St. Mary's University</p>
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  <hr>
  <p class="caption">Offering courses and programs in Mathematics, Computer Science, Data Science, and Computer Science</p>
  <hr>
	<p class="caption">Learn more about the 
	<a href="https://msmary.edu/academics/schools-divisions/school-of-science-mathematics-and-technology/index.html" target="_blank">School of Science, Technology & Computer Science </a></p>
	<hr>

  <h3>Faculty Members</h3>
  <ul>
    <li>Dean: <em>Dr. Christine McCauslin</em></li>
    <li>
      <a href = "https://directory.msmary.edu/people/jonelle-hook.html">Chair: <em>Dr. Jonelle Hook</em> (Associate Professor)</a>
      <p>
        Dr. Hook got her B.S., Masters and Ph.D. in Mathematics. 
        Areas of study are Graph Theory (Ramsey theory, graph labeling, distance in graphs). 
        <p><strong>Teaches maths classes</strong> - Calculus 1 & 3.</p>
      </p>
    </li>
    <li>
      <a href = "https://directory.msmary.edu/people/melanie-butler.html">Professor: <em>Dr. Melanie Butler</em></a>
      <p>
        Dr. Butler got her B.S., M.S. and Ph.D. in Mathematics. 
        Areas of study are in Abstract Algebra, Ring Theory, and Mathematics Education. 
        <p><strong>Teaches math classes</strong> - Elementary Statistics, and Mathematical Thinking.</p>
      </p>
    </li>
    <li>
      <a href = "https://directory.msmary.edu/people/brian-heinold.html">Associate Professor: <em>Dr. Brian Heinold</em></a>
      <p>
        Dr. Heinold got his B.S., M.S, and Ph.D. in Mathematics.
        Area of study is in Graph Theory.
        <p><strong>Teaches computer science, cybersecurity, and math classes</strong> - Computer Architecture, Computer Security 1 & 2, Operations Research, Database Management Systems, and Probability.</p>
      </p>
    </li>
    <li>
        Assistant Professors:
        <ul>
            <li>
              <em>Scott A. Weiss</em>
              <p>
                Prof Weiss got his B.S. in Mathematics/Computer Science and a M.S. in Computer Science. 
                Areas of study are in Computer Science education, and artificial intelligence. 
                <p><strong>Teaches computer science classes</strong> - Introduction to Computer Science II, Network Systems and Design, Principles of Programming Languages, Computer Science Capstone 1 and 2, and Theory of Computation.</p>
              </p>
            </li>
            <li>
              <em>Dr. Matthew Gerhart</em>
              <p>
                Dr. Gerhart got his B.S., M.S., and Ph.D. in Mathematics, as well as an M.A in Education.
                Areas of study are in Modeling, Differential Equations, Numerical Methods, and Mathematics Education. 
                <p><strong>Teaches math classes</strong> - Concepts of Mathematics for Teacher, Precalculus Mathematics, Mathematical Thinking, Calculus 1, Linear Alebra, and Foundations of Geometry.</p>
              </p>
            </li>
            <li>
              <em>Dr. Ruth Lamprecht</em>
              <p>
                Dr. L got her B.A. in Mathematics, M.S. in Computer Science with a Specialization in Operations Research, and Ph.D. in Computer Science. 
                Area of study is in Computer Science Education. 
                <p><strong>Teaches computer science classes</strong> - Data Structures and Algorithm, Software Engineering, Principles of Software Development, and Computer Science Capstone 1 & 2.</p>
              </p>
            </li>
            <li>
              <em>Dr. Jonathan McCurdy</em>
              <p>
                Dr. McCurdy got his Ph.D. in Applied Statistics. 
                Area of study are in Random Number Generator, Data Science, and Math Education. 
                <p><strong>Teaches data science and mathematics classes</strong> - Introduction to Data Science, Machine Learning Models, Data Wringling, Exploratory Data Analysis, Advanced Machine Learning, and Mathematical Thinking.</p>
              </p>
            </li>
            <li>
              <em>Dr. Nadun Kulasekera Mudiyanselage</em>
              <p>
                Dr. Nadun got his BSC. in Mathematics, while he got his M.S. and Ph.D. in Computational and Applied Mathematics
                <p><strong>Teaches computer science and mathematics classes</strong> - Introduction to Computer Science 1, Discrete Mathematics, Numerical Methods, Calculus 2, and Differential Equations.</p>
              </p>
            </li>
            <li>
              <em>Dr. Margaret Leary</em>
              <p>
                Dr. Leary got her Ph.D. in Organization and Management with an IT Specialization. 
                Areas of study are in privacy, identity, and AI policy governance. 
                <p><strong>Teaches cybersecurity classes</strong> - Foundations of Cybersecurity, Secure Systems Design and Risk Management, Systems Operations Management, Pen.Testing and Ethical Hacking, and Cybersecurity Capstone.</p>
              </p>
            </li>
            <li>
              <em>Kevin J. Rittie</em>
              <p>
                Prof. Rittie got his B.S. in Computer Science, and his M.S. in Cybersecurity. 
                Prof. Rittie is a unique professor because he was not a career academic but worked over 30 years in the software and cybersecurity industry. 
                So the context of what he teaches is highlighted to be based on what is used in the workplace. 
                <p><strong>Teaches computer science and cybersecurity classes</strong> - Opearting Systems, Networking Administration, Introduction to Computer Science 1, UNIX and Windows Operating Systems.</p>
              </p>
            </li>
        </ul>
    </li>
    <li>
      Endowed Professor: <em>Dr. Daniel Salinas Duron</em>
      <p>
        Dr. Duron got his B.S., M.S., and Ph.D., in Computer Science. 
        Areas of study are in quantitative analysis of omics data with a focus on decomposition and mechanism inference. 
        <p><strong>Teaches data science classes</strong> - Introduction to Data Science, ST: Special Topics in Data Science, Distributed Data Systems, High Performance Computing, Data Science Capstone.</p>
      </p>
    </li>
  </ul>
  <p class="caption">Source: Mount St. Mary's Course Catalog</p>

  <hr>

  <h3>Description</h3>
    <p>To ensure the teaching of computer science, cybersecurity, data-science, and math-related fields and curriculum is in accordance with Mount St. Mary's University's policies.</p>
    <p>Some professors have degrees, experience and teach in mutiple area of focus while others specialize in one specific branch of technology.</p>

    <hr>

  <h3>Further Details</h3>
    <p>
      Each faculty members joins by speaking with the head of the department and completing a series of interviews. 
      Meetings are scheduled monthly for faculty, sometimes to discuss policies and others for assistance with research. 
      There is constant collaborations between both faculty and students (clubs, internships, conferences, research, etc.). 
      Students also have the chance to apply for scholarships and fellowships programs, with the assistance of professors from both an academic and professional standpoint.
    </p>
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