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This 12-week course offers a foundational introduction to SWE and ML/AI, designed in response to the emerging industry shift toward AI-integrated systems. New members will gain hands-on experience with Python programming, explore modern frameworks, and develop machine learning models including neural networks.
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## Prerequisites
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- Taken or concurrently enrolled in **CS 61A / Data 8** OR have previous coding experience
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- No prior industry experience
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## Desired Course Outcomes
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By the end of the 12 weeks, we hope you:
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- Are comfortable programming in **Python, JavaScript, HTML, CSS, and SQL**
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- Are comfortable programming in **Python**and **Java**.
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- Know common data structures (Arrays, LinkedLists, Trees, HashTables)
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- Are familiar with frameworks such as **React, Node.js, NPM, PyTorch, Pandas, NumPy, scikit-learn**
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- Are familiar with frameworks such as **PyTorch, Pandas, NumPy, scikit-learn**
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- Have a basic understanding of **Databases**
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- Understand fundamental ML/AI concepts (optimization, neural networks)
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- Feel comfortable working in a **team environment**, similar to that found in industry
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# CRUP Fall 2025
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Welcome to **Codebase's Ramp Up Program (CRUP)**! We will dive into **Software Engineering, Machine Learning, and AI** through hands-on work in **Python, Java, JavaScript, HTML/CSS, SQL**, and frameworks like **React, Node.js, PyTorch, scikit-learn, and more!**.
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Welcome to **Codebase's Ramp Up Program (CRUP)**! We will dive into **Software Engineering, Machine Learning, and AI** through hands-on work in **Python, Java,** and **SQL**, and frameworks like **PyTorch, scikit-learn, and more!**.
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CRUP is brought to you by...
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<th style="max-width: 30px;">Week</th>
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<th>Date</th>
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<th>Lecture</th>
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<th>Assignments</th>
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<th>Assignment(s)</th>
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<th>DRI(s)</th>
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</tr>
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</thead>
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<td style="max-width: 30px;">1</td>
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<td>Sep 13</td>
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<td>Welcome! and Intro to Programming in Python (<a href="https://docs.google.com/presentation/d/1qIpgvEjE79MUhFeDaQFaAQRr6w-uNUwvFq7xgK_CEgM/edit?usp=sharing">slides</a>)</td>
<a href="assets/calculus_for_ml/calculus_for_ml.pdf">Calculus for ML</a>
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</td>
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<td>Renata, Michael L, Patrick</td>
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<td>Renata, Ash, Patrick</td>
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</tr>
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<tr>
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<td style="max-width: 30px;">8</td>
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<td>Nov 1</td>
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<td>Probability for ML (<a href="https://docs.google.com/presentation/d/14cG_MEFFpDPWPzNl8PXfy1wHp_mtBWXYf1QLxYKoulc/edit?usp=sharing">slides</a>)</td>
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