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<!DOCTYPE html>
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<head>
<title>The Mount - CMSCI 254 Help</title>
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<meta name="Author" content="Christopher Jacoboski and Matthew Moser">
<meta name="description" content="Mount St. Mary's University is located in Emmitsburg, MD. The Math & CS Dept offers four majors.">
<meta name="keywords" content="mathematics, computer science, data science, cybersecurity, Bachelor's Degree, Emmitsburg, Maryland, 254, CMSCI">
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<h1 class="pageTitle">CMSCI 254 Help Page</h1>
<h2>Mathematics and Computer Science Department</h2>
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<h2 class="simpleHeading">CMSCI 254 - Data Structures and Algorithms</h2>
<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, Mathematics & Technology
</a>
</p>
<hr>
<h4>Professors</h4>
<p>
This course is taught on a rotating basis by faculty members including Dr. Lamprecht, Dr. Heinold, and Professor Weiss.
</p>
<p class="caption">Source: MSMU Faculty Information</p>
<hr>
<h4>What to Expect</h4>
<p>
Students should expect a significant increase in difficulty compared to introductory programming courses. A strong understanding of Java is essential, as the course emphasizes building and working with classes and larger programs.
</p>
<p>
One of the most challenging aspects of the course is learning how to design and implement complex programs rather than writing isolated pieces of code. Students will need to think critically about how to structure data and choose appropriate algorithms to solve problems efficiently.
</p>
<p>
To prepare, students are encouraged to practice Java before taking the course by revisiting and expanding past assignments from CMSCI 125. Resources such as those available on <a href="brianheinold.net" target="_blank">Professor Heinold's website</a>, can also help strengthen programming and problem-solving skills.
</p>
<p class="caption">Source: Professor Weiss via email</p>
<hr>
<h4>Notable Facts</h4>
<ul>
<li>Data Structures and Algorithms is a core course in most computer science programs.</li>
<li>It introduces algorithm efficiency using time and space complexity (Big-O notation).</li>
<li>Common data structures include arrays, linked lists, stacks, queues, trees, and hash tables.</li>
<li>Common algorithms include sorting, searching, graph traversal, and shortest path algorithms such as Dijkstra's algorithm.</li>
<li>DSA concepts are frequently tested in technical interviews at major technology companies.</li>
</ul>
<p>
Learn more here:
<a href="https://www.geeksforgeeks.org/data-structures/" target="_blank">
GeeksforGeeks - Data Structures Overview
</a>
</p>
<p class="caption">Source: GeeksforGeeks</p>
<hr>
<h4>Course Requirements</h4>
<p>
Students must complete CMSCI 125 (Introduction to Computer Science II) before enrolling in CMSCI 254. A solid understanding of Java programming, including object-oriented concepts such as classes, methods, and basic data handling, is required.
</p>
<p>
Students should also be comfortable with debugging, problem-solving, and writing moderately complex programs prior to taking this course.
</p>
<p class="caption">Source: MSMU Course Catalog</p>
<hr>
<h4>Purpose of the Course</h4>
<p>
Data Structures and Algorithms focuses on how data is stored, organized, and processed efficiently. Students learn how to design algorithms that solve complex problems while managing performance and resource usage.
</p>
<p>
These concepts are fundamental to nearly all areas of computer science, including operating systems, databases, web development, machine learning, cybersecurity, and game development. The goal is to equip students with the ability to build efficient, scalable software systems.
</p>
<p class="caption">Source: Course Overview</p>
<hr>
<h4>Who Participates</h4>
<p>
This course is primarily taken by computer science majors, as it is a required component of the curriculum and essential for many technical careers in software development and related fields.
</p>
<p class="caption">Source: MSMU Course Catalog</p>
<hr>
<h4>How to Enroll</h4>
<p>
To enroll in CMSCI 254, students must first complete CMSCI 120 and CMSCI 125. During course registration, students should add CMSCI 254 to their schedule and consult with their academic advisor to ensure they meet all prerequisites and are approved for enrollment.
</p>
<p class="caption">Source: MSMU Course Catalog</p>
<hr>
<h4>What Happens in Class</h4>
<p>
Classes typically involve lectures on core data structures such as arrays, linked lists, stacks, queues, trees, and hash tables. Students also learn algorithms used to operate on these structures, including sorting, searching, and graph algorithms.
</p>
<p>
Coursework often includes programming assignments that require implementing these structures and algorithms, reinforcing both conceptual understanding and practical coding skills.
</p>
<p class="caption">Source: MSMU Course Catalog</p>
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