02 courses
71 courses · Carnegie Mellon University · Fall 2026
- 02 112 — Programming for Scientists1 section
- 02 120 — Programming for Scientists1 section
- 02 135 — Computational Biology and Society1 section
- 02 180 — Great Ideas in Computational Biology I1 section
- 02 181 — Great Ideas in Computational Biology II1 section
- 02 201 — Programming for Scientists1 section
- 02 218 — Introduction to Computational Medicine1 section
- 02 223 — Personalized Medicine: Understanding Your Own Genome1 section
- 02 250 — Introduction to Computational Biology1 section
- 02 251 — Great Ideas in Computational Biology1 section
- 02 261 — Quantitative Cell and Molecular Biology Laboratory1 section
- 02 262 — Computation and Biology Integrated Research Lab1 section
- 02 317 — Algorithms in Nature1 section
- 02 319 — Genomics and Epigenetics of the Brain1 section
- 02 331 — Modeling Evolution1 section
- 02 402 — Computational Biology Seminar1 section
- 02 403 — Special Topics: Graph Representation Learning in Biology1 section
- 02 414 — String Algorithms1 section
- 02 421 — Algorithms for Computational Structural Biology1 section
- 02 425 — Computational Methods for Proteogenomics and Metabolomics1 section
- 02 450 — Automation of Scientific Research1 section
- 02 499 — Independent Study in Computational Biology1 section
- 02 500 — Undergraduate Research in Computational Biology1 section
- 02 510 — Computational Genomics1 section
- 02 512 — Computational Methods for Biological Modeling and Simulation1 section
- 02 514 — String Algorithms1 section
- 02 515 — Advanced Topics in Computational Genomics1 section
- 02 518 — Computational Medicine1 section
- 02 530 — Cell and Systems Modeling1 section
- 02 540 — Bioimage Informatics1 section
- 02 541 — Generative AI for Biomedicine1 section
- 02 542 — Biological Circuit Design1 section
- 02 543 — Graph Representation Learning in Biology1 section
- 02 544 — Introduction to Statistical Genetics1 section
- 02 545 — Numerical Methods for Science and Statistics1 section
- 02 601 — Programming for Scientists1 section
- 02 602 — Professional Issues for Computational and Automated Scientists1 section
- 02 604 — Fundamentals of Bioinformatics1 section
- 02 605 — Professional Issues in Automated Science1 section
- 02 613 — Algorithms and Advanced Data Structures1 section
- 02 614 — String Algorithms1 section
- 02 620 — Machine Learning for Scientists1 section
- 02 651 — New Technologies and Future Markets1 section
- 02 654 — Biotechnology Enterprise Development1 section
- 02 680 — Essential Mathematics and Statistics for Scientists1 section
- 02 699 — Independent Study in Computational Biology1 section
- 02 700 — M.S. Thesis Research1 section
- 02 702 — Computational Biology Seminar1 section
- 02 703 — Special Topics: Graph Representation Learning in Biology1 section
- 02 704 — Special Topics: Introduction to Statistical Genetics1 section
- 02 710 — Computational Genomics1 section
- 02 711 — Computational Molecular Biology and Genomics1 section
- 02 712 — Computational Methods for Biological Modeling and Simulation1 section
- 02 714 — String Algorithms1 section
- 02 715 — Advanced Topics in Computational Genomics1 section
- 02 717 — Algorithms in Nature1 section
- 02 718 — Computational Medicine1 section
- 02 719 — Genomics and Epigenetics of the Brain1 section
- 02 720 — Computational Biology and Society1 section
- 02 721 — Algorithms for Computational Structural Biology1 section
- 02 725 — Computational Methods for Proteogenomics and Metabolomics1 section
- 02 730 — Cell and Systems Modeling1 section
- 02 731 — Modeling Evolution1 section
- 02 735 — Ethics in the Practice of Computational Biology1 section
- 02 740 — Bioimage Informatics1 section
- 02 750 — Automation of Scientific Research1 section
- 02 760 — Laboratory Methods for Computational Biologists1 section
- 02 761 — Laboratory Methods for Automated Biology I1 section
- 02 762 — Laboratory Methods for Automated Biology II1 section
- 02 764 — Automated Science Capstone II1 section
- 02 798 — Integrated MS Industry Capstone1 section
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