Three virtual workshops that can be attended via Zoom. Target audience is undergrads, however, all workshops are open to anyone! You do not need an extensive programming background. Each of the workshops builds on the others. Registration required.
Workshops
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May 19-23: Introduction to Python
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May 26-30: Introductory ML in Python
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June 2-6: Intermediate ML in PyTorch with Applications
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Daily Schedule
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10 am to 12 noon: Lecture and demonstrations
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1 to 3 pm: Labs/Workshops assignments in small groups
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Course credit
SC INBRE is exploring the option of being able to offer an undergraduate three-credit course through the University of South Carolina this summer. Course will involve all three of the workshops in asynchronous video format allowing for students to take the course from a remote location. Assignments and project will be required and graded. SC INBRE will cover the cost of tuition and application fee. More information to come.
Introduction to Python
May 19-23
May 19: Cloud Computing/Basic Python
May 20: Control Statements/Iterators and Arrays
May 21: Numerical Data with NumPy/Examples
May 22: Data Frames with Pandas/Examples
May 23: Visualization with MatPlotLib/Examples
Introductory ML in Python
May 26-30
May 26: Random Number Generators/Multivariate random numbers
May 27: Regression (linear and non-linear)
May 28: K-Means clustering/K Nearest Neighbor
May 29: Decision Tree/Random Forest
May 30: Artificial Neural Networks in SciKit
Intermediate ML in PyTorch with Applications, June 2-6
June 2: Linear Models
June 3: Neural Networks
June 4: Neural Networks continued
June 5: Autoencoders/Generative models
June 6: Reinforcement learning
Contact
Dr. Homay Valafar, Bioinformatics Workshops Director
Professor and Chairman, USC Computer Science and Engineering; Director of the AI Institute; Professor, Biomedical Engineering