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      <description>To Be Constructed </description>
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      <title>Advanced Programming Languages: Python</title>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>Description This course offers a deep dive into Python programming with a focus on writing clean, modular, and efficient code. Emphasizing a hands-on approach, students engage with real-world problems to reinforce concepts and develop practical coding skills. By combining theory with practice, the course builds a strong foundation for solving complex programming challenges with confidence. Content Lecture 1: Introduction
Lecture 2: Data Types &amp;amp; Casting
Lecture 3: Strings &amp;amp; Input-Output</description>
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      <title>Statistics &amp; Probability for CS Students</title>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>Description This course introduces fundamental concepts in probability and statistics, tailored for computer science students. Through a combination of theory and practical exercises, students learn how to model and analyze uncertainty in real-world scenarios. Emphasis is placed on applying counting techniques, random variables, and distributions to solve problems that arise in computing and data analysis. Learning is reinforced through practice with real-world applications. Content Session 1: Introduction
Session 2: Counting &amp;amp; Combinatorics I</description>
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