6 courses with the subject ECBM E, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
ECBM E4040NEURAL NETWRKS ＆ DEEP LEARNING3.00
Prerequisites: (BMEB W4020) or (BMEE E4030) or (ECBM E4090) or (EECS E4750) or (COMS W4771) or BMEB W4020 OR BMEE E4030 OR ECBM E4090 OR EECS E4750 OR COMS W4771; or equivalent. Developing features - internal representations of the world, artificial neural networks, classifying handwritten digits with logistics regression, feedforward deep networks, back propagation in multilayer perceptrons, regularization of deep or distributed models, optimization for training deep models, convolutional neural networks, recurrent and recursive neural networks, deep learning in speech and object recognition
- Subject
- ECBM E
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- points
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Bulletin
- Source
- bulletin.columbia.edu
ECBM E4060INTRO-GENOMIC INFO SCI ＆ TECH3.00
Introduction to computational biology with emphasis on genomic data science tools and methodologies for analyzing data, such as genomic sequences, gene expression measurements and the presence of mutations. Applications of machine learning and exploratory data analysis for predicting drug response and disease progression. Latest technologies related to genomic information, such as single-cell sequencing and CRISPR, and the contributions of genomic data science to the drug development process
- Subject
- ECBM E
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- points
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Bulletin
- Source
- bulletin.columbia.edu
ECBM E4070Computing with Brain Circuits of Model Organisms3.00
Prerequisites: BIOL W3004 AND ELEN E3801; and Python programming experience, or instructor's permission. Building the functional map of the fruit fly brain. Molecular transduction and spatio-temporal encoding in the early visual system. Predictive coding in the Drosophila retina. Canonical circuits in motion detection. Canonical navigation circuits in the central complex. Molecular transduction and combinatorial encoding in the early olfactory system. Predictive coding in the antennal lobe. The functional role of the mushroom body and the lateral horn. Canonical circuits for associative learning and innate memory. Projects in Python
- Subject
- ECBM E
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- points
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Bulletin
- Source
- bulletin.columbia.edu
ECBM E4090BRAIN COMPUTER INTERFACES LAB3.00
Prerequisites: (ELEN E3801) ELEN E3801 Hands-on experience with basic neural interface technologies. Recording EEG (electroencephalogram) signals using data acquisition systems (non-invasive, scalp recordings). Real-time analysis and monitoring of brain responses. Analysis of intention and perception of external visual and audio signals
- Subject
- ECBM E
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- points
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Bulletin
- Source
- bulletin.columbia.edu
Source: Columbia University in the City of New York's catalog, linked per course · table learning_unit · CourseShelf publish 61
