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Update modules and prepare for presentation
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‎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)
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TüKITZtest3;TüKITZtest3;TüKITZtest3;rgb(132, 169, 173)
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TüKITZradiation;TüKITZradiation;TüKITZradiation;rgb(173, 132, 169)
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TüKITZzahn;TüKITZzahn;TüKITZzahn;rgb(132, 169, 173)
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‎index.html‎

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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="all">Difficulty Levels</option>
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<option value="basic">Basic</option>
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<option value="advanced">Advanced</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">

‎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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ml_concepts;Basic concepts of ML;"General description of basic ML concepts; covering fundamentals.";Machine Learning;TüKITZmed+TüKITZlife+TüKITZzahn+TüKITZradiation;basic
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ml_supervised_basic;Supervised Learning;"Explores supervised learning; including classification and regression.";Machine Learning;TüKITZmed+TüKITZlife+TüKITZzahn+TüKITZradiation;basic
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ml_supervised_adv;Supervised Learning Advanced;"Advanced supervised methods; e.g., SVMs and KNNs.";Machine Learning;TüKITZmed+TüKITZlife+TüKITZradiation;advanced
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ml_unsupervised_basic;Unsupervised Learning;"Covers clustering; dimensionality reduction; and Generative AI.";Machine Learning;TüKITZmed+TüKITZlife+TüKITZzahn+TüKITZradiation;basic
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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+TüKITZradiation;advanced
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ml_deep_basic;Deep learning;"Introduces perceptrons; activation functions; and multilayer NNs.";Machine Learning;TüKITZmed+TüKITZlife+TüKITZzahn+TüKITZradiation;basic
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ml_deep_adv;Deep learning Advanced;"Details on NN learning; backprop; convolutions; and optimization.";Machine Learning;TüKITZmed+TüKITZlife+TüKITZradiation;advanced
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math_foundations;Mathematics - Foundations;"Fundamental math concepts for AI; including vectors; matrices; and sets.";Mathematics;TüKITZmed+TüKITZlife+TüKITZzahn+TüKITZradiation;basic
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math_vector_calc_int;Vector calculus;"advanced vector calculus; differentiation; Jacobians; Hessians.";Mathematics;TüKITZmed+TüKITZlife+TüKITZradiation;advanced
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math_info_theory;Information theory;"Concepts of entropy and KL divergence.";Mathematics;TüKITZmed+TüKITZlife+TüKITZradiation;advanced
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math_stats_prob;Statistics & Prob. theory;"Discrete/continuous RVs; binomial distribution.";Mathematics;TüKITZmed+TüKITZlifeTüKITZradiation;advanced
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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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test_3;Test Module 2;"Another test module for further testing purposes.";Mathematics;TüKITZtest2;beginner
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test_4;Test Module 3;"Yet another test module for testing purposes.";Mathematics;TüKITZtest3;beginner
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test_5;Test Module 4;"A final test module for testing purposes.";Mathematics;TüKITZtest3;beginner
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app_med_advances;ML Applications in medicine - Advances;"ML advances in medicine; focusing on radiology and other areas.";Applications;TüKITZmed;basic
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app_med_uk Tübingen;ML Applications in medicine - UK Tübingen;"ML applications at UK Tübingen; especially in radiology.";Applications;TüKITZmed;advanced
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app_ethics;Ethics, law & privacy;"Ethical; legal; and privacy considerations in medical AI.";Applications;TüKITZmed;basic
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app_chatbots;Chatbots in medicine;"Design and implementation of chatbots for medical use cases.";Applications;TüKITZmed;basic
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app_lifesci;ML in lifescience;"ML applications in bioinformatics and drug discovery; e.g. 'Omics' data.";Applications;TüKITZlife;basic
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app_radiation;ML in medical imaging;"ML applications in medical imaging.";Applications;TüKITZradiation;basic
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app_radiation;ML in radiation therapy;"ML applications in radiation therapy.";Applications;TüKITZradiation;basic

‎units.csv‎

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u_chat_impl;Implementation;app_chatbots;"Technical aspects of implementing medical chatbots; NLP; dialog management."
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u_bioinfo;Bioinformatics;app_lifesci;"ML in Bioinformatics; analyzing biological data; genomics; proteomics."
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u_drugdisc;Drug Discovery;app_lifesci;"Using ML to accelerate Drug Discovery; predicting molecular properties."
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u_test_2;Test Unit 2;test_2;"A test unit for testing purposes; not part of the main curriculum."
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u_test_3;Test Unit 3;test_2;"Another test unit for testing purposes; not part of the main curriculum."
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u_omics;Omics Data;app_lifesci;"Handling and analyzing 'Omics' data; genomics; proteomics; metabolomics."
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u_med_img;Medical Imaging;app_radiation;"ML applications in Medical Imaging; image analysis; diagnostics."
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u_rad_therapy;Radiation Therapy;app_radiation;"ML applications in Radiation Therapy; treatment planning; dose optimization."

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