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‎.nojekyll‎

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‎README.md‎

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# tuekitzmed-module

‎classes.csv‎

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ClassID;ClassName;ButtonText;Color
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TüKITZmed;TüKITZmed;TüKITZmed;rgb(216, 166, 159)
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TüKITZlife;TüKITZlife;TüKITZlife;rgb(157, 173, 132)
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TüKITZtest;TüKITZtest;TüKITZtest;rgb(173, 132, 169)
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TüKITZtest2;TüKITZtest2;TüKITZtest2;rgb(132, 169, 173)

‎index.html‎

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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Course Tiles</title>
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<link rel="stylesheet" href="styles.css">
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<link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.12.1/css/all.css" crossorigin="anonymous">
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</head>
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<body>
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<div class="header">
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<button class="study-button all">Show All</button>
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<!-- TüKITZmed and TüKITZlife buttons will be generated here by JavaScript -->
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<select id="difficulty-filter">
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<option value="all">All Levels</option>
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<option value="beginner">Beginner</option>
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<option value="intermediate">Intermediate</option>
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<option value="expert">Expert</option>
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</select>
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<button id="download-button" class="download-button tooltip">
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<i class="fas fa-solid fa-download"></i>
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<span class="tooltiptext">Download list of selected courses</span>
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</button>
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</div>
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<!-- Separate Containers for Each Topic -->
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<div class="topic-container">
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<h2>Mathematics</h2>
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<div class="course-container" id="math-container">
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<!-- Course tiles for Mathematics will be generated here -->
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</div>
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</div>
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<div class="topic-container">
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<h2>Machine Learning</h2>
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<div class="course-container" id="ml-container">
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<!-- Course tiles for Machine Learning will be generated here -->
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</div>
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</div>
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<div class="topic-container">
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<h2>Applications</h2>
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<div class="course-container" id="applications-container">
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<!-- Course tiles for Applications will be generated here -->
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</div>
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</div>
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<!-- Popup template -->
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<div id="popup" class="popup">
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<div class="popup-content">
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<span class="close" onclick="closePopup()">&times;</span>
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<div id="course-name">Course Name</div>
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<p id="popup-course-description">General description of the course.</p> <!-- Added ID here -->
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<div class="accordion">
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<!-- Accordion sections will be dynamically added here -->
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</div>
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</div>
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</div>
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<script src="scripts.js"></script>
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</body>
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</html>

‎modules.csv‎

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ModuleID;ModuleName;ModuleDescription;Category;MajorClassIDs;Difficulty
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ml_concepts;Basic concepts of ML;"General description of basic ML concepts; covering fundamentals.";Machine Learning;TüKITZmed+TüKITZlife;beginner
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ml_supervised_basic;Supervised Learning;"Explores supervised learning; including classification and regression.";Machine Learning;TüKITZmed+TüKITZlife;beginner
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ml_supervised_adv;Supervised Learning Advanced;"Advanced supervised methods; e.g., SVMs and KNNs.";Machine Learning;TüKITZmed+TüKITZlife;intermediate
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ml_unsupervised_basic;Unsupervised Learning;"Covers clustering; dimensionality reduction; and Generative AI.";Machine Learning;TüKITZmed+TüKITZlife;beginner
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ml_unsupervised_adv;Unsupervised Learning Advanced;"In-depth on k-means; PCA; t-SNE; and clustering evaluation.";Machine Learning;TüKITZmed+TüKITZlife;intermediate
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ml_deep_basic;Deep learning;"Introduces perceptrons; activation functions; and multilayer NNs.";Machine Learning;TüKITZmed+TüKITZlife;beginner
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ml_deep_adv;Deep learning Advanced;"Details on NN learning; backprop; convolutions; and optimization.";Machine Learning;TüKITZmed+TüKITZlife;intermediate
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math_foundations;Mathematics - Foundations;"Fundamental math concepts for AI; including vectors; matrices; and sets.";Mathematics;TüKITZmed+TüKITZlife;beginner
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math_vector_calc_int;Vector calculus;"Intermediate vector calculus; differentiation; Jacobians; Hessians.";Mathematics;TüKITZmed+TüKITZlife;intermediate
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math_info_theory;Information theory;"Concepts of entropy and KL divergence.";Mathematics;TüKITZmed+TüKITZlife;intermediate
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math_stats_prob;Statistics & Prob. theory;"Discrete/continuous RVs; binomial distribution.";Mathematics;TüKITZmed+TüKITZlife;intermediate
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math_vector_calc_exp;Vector calculus Expert;"Expert level: Bayes' theorem and conditional probability.";Mathematics;TüKITZmed+TüKITZlife;expert
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math_linear_algebra;Linear algebra;"Eigenvalues; eigenvectors; trace; and determinant.";Mathematics;TüKITZmed+TüKITZlife;expert
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app_med_advances;ML Applications in medicine - Advances;"ML advances in medicine; focusing on radiology and other areas.";Applications;TüKITZmed;beginner
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app_med_uk Tübingen;ML Applications in medicine - UK Tübingen;"ML applications at UK Tübingen; especially in radiology.";Applications;TüKITZmed;intermediate
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app_ethics;Ethics, law & privacy;"Ethical; legal; and privacy considerations in medical AI.";Applications;TüKITZmed;beginner
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app_chatbots;Chatbots in medicine;"Design and implementation of chatbots for medical use cases.";Applications;TüKITZmed;beginner
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app_chatbots2;Chatbots in medicine1;"Design and implementation of chatbots for medical use cases.";Applications;TüKITZmed+TüKITZtest;beginner
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app_lifesci;ML in lifescience;"ML applications in bioinformatics and drug discovery; e.g. 'Omics' data.";Applications;TüKITZlife;beginner
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test_2;Test Module;"A module for testing purposes; not part of the main curriculum.";Mathematics;TüKITZtest;beginner

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