DTSA courses
78 courses · University of Colorado Boulder · Fall 2026
- DTSA 5001 — (1) Probability Foundations for Data Science and AI1 section
- DTSA 5002 — (1) Statistical Estimation for Data Science and AI1 section
- DTSA 5003 — (1) Hypothesis Testing for Data Science1 section
- DTSA 5011 — (1) Modern Regression Analysis in R1 section
- DTSA 5012 — (1) ANOVA and Experimental Design1 section
- DTSA 5013 — (1) Generalized Linear Models and Nonparametric Regression1 section
- DTSA 5020 — (1) Statistical Learning for Data Science: Regression and Classification1 section
- DTSA 5021 — (1) Statistical Learning for Data Science: Resampling, Selection and Splines1 section
- DTSA 5022 — (1) Statistical Learning for Data Science: Trees, SVM and Unsupervised Learning1 section
- DTSA 5301 — (1) Data Science as a Field1 section
- DTSA 5302 — (1) Cybersecurity for Data Science1 section
- DTSA 5303 — (1) Ethical Issues in Data Science1 section
- DTSA 5304 — (1) Fundamentals of Data Visualization1 section
- DTSA 5501 — (1) Algorithms for Searching, Sorting, and Indexing1 section
- DTSA 5502 — (1) Trees and Graphs: Basics1 section
- DTSA 5503 — (1) Dynamic Programming, Greedy Algorithms1 section
- DTSA 5504 — (1) Data Mining Pipeline1 section
- DTSA 5505 — (1) Data Mining Methods1 section
- DTSA 5506 — (1) Data Mining Project1 section
- DTSA 5507 — (1) Fundamentals of Software Architecture for Big Data1 section
- DTSA 5508 — (1) Software Architecture Patterns for Big Data1 section
- DTSA 5509 — (1) Introduction to Machine Learning: Supervised Learning1 section
- DTSA 5510 — (1) Unsupervised Algorithms in Machine Learning1 section
- DTSA 5511 — (1) Introduction to Deep Learning1 section
- DTSA 5512 — (1) Introduction to Computer Vision1 section
- DTSA 5513 — (1) Deep Learning for Computer Vision1 section
- DTSA 5514 — (1) Modern AI Models for Vision and Multimodal Understanding1 section
- DTSA 5515 — (1) Fair Machine Learning: Foundations1 section
- DTSA 5516 — (1) Fair Machine Learning: Algorithms1 section
- DTSA 5517 — (1) Fair Machine Learning: Applications1 section
- DTSA 5701 — (1) Introduction to High Performance and Parallel Computing1 section
- DTSA 5702 — (1) Efficient Programming1 section
- DTSA 5703 — (1) Parallel Computing with MPI1 section
- DTSA 5704 — (1) Managing, Describing, and Analyzing Data1 section
- DTSA 5705 — (1) Stability and Capability in Quality Improvement1 section
- DTSA 5706 — (1) Measurement Systems Analysis1 section
- DTSA 5707 — (1) Deep Learning Applications for Computer Vision1 section
- DTSA 5714 — (1) Applications of Software Architecture for Big Data1 section
- DTSA 5718 — (1) Computing, Ethics, and Society 1 - Foundations1 section
- DTSA 5719 — (1) Computing, Ethics, and Society 2 - Algorithmic Bias and Professional Ethics1 section
- DTSA 5720 — (1) Computing, Ethics, and Society 3 - Applications1 section
- DTSA 5721 — (0.7) Neural Networks and Deep Learning1 section
- DTSA 5722 — (0.5) Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization1 section
- DTSA 5723 — (0.4) Structuring Machine Learning Projects1 section
- DTSA 5724 — (0.7) Convolutional Neural Networks1 section
- DTSA 5725 — (0.7) Sequence Models1 section
- DTSA 5726 — (1) Introduction to Bayesian Statistics for Data Science1 section
- DTSA 5727 — (1) Computational Bayesian Statistics for Data Science1 section
- DTSA 5728 — (1) Bayesian Statistical Modeling for Data Science Applications1 section
- DTSA 5733 — (1) Relational Database Design1 section
- DTSA 5734 — (1) The Structured Query Language1 section
- DTSA 5735 — (1) Advanced Topics and Future Trends in Database Technologies1 section
- DTSA 5736 — (1) When to Regulate? The Digital Divide and Net Neutrality1 section
- DTSA 5737 — (1) Protecting Individual Privacy on the Internet1 section
- DTSA 5738 — (1) Cybersecurity in Crisis: Information and Internet Security1 section
- DTSA 5739 — (1) Security and Ethical Hacking: Attacking Web and AI Systems1 section
- DTSA 5740 — (1) Global Climate Policies and Analysis1 section
- DTSA 5741 — (1) Modeling Climate Anomalies with Statistical Analysis1 section
- DTSA 5742 — (1) Predicting Extreme Climate Behavior with Machine Learning1 section
- DTSA 5743 — (1) Cryptography and Information Theory1 section
- DTSA 5744 — (1) Symmetric Cryptography1 section
- DTSA 5745 — (1) Asymmetric Cryptography and Key Management1 section
- DTSA 5746 — (1) Cryptographic Hash and Integrity Protection1 section
- DTSA 5747 — (1) Fundamentals of Natural Language Processing1 section
- DTSA 5748 — (1) Deep Learning for Natural Language Processing1 section
- DTSA 5749 — (1) Model and Error Analysis for Natural Language Processing1 section
- DTSA 5750 — (1) Numerical Methods for Sampling Probability Distributions1 section
- DTSA 5751 — (1) An Introduction to Molecular Simulation Methods and Tools1 section
- DTSA 5752 — (1) Practical Molecular Simulation Calculations1 section
- DTSA 5798 — (1) Supervised Text Classification for Marketing Analytics1 section
- DTSA 5799 — (1) Unsupervised Text Classification for Marketing Analytics1 section
- DTSA 5800 — (1) Network Analysis for Marketing Analytics1 section
- DTSA 5840 — (1) Data Science Applied Capstone Project1 section
- DTSA 5841 — (1) IBM Capstone Project1 section
- DTSA 5842 — (1) Effective Communication: Writing, Design, and Presentation1 section
- DTSA 5843 — (1) Effective Communication Capstone Project1 section
- DTSA 5900 — (1) Special Topics1 section
- DTSA 5901 — (1) Special Topics1 section
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