Artificial Intelligence AI SCI

AI SCI 210 Introduction to Python Programming and Artificial Intelligence

Units

4

Introduction to Python programming and artificial intelligence. Programming emphasis on techniques used in artificial intelligence. Jupyter Notebooks, NumPy, pandas, Matplotlib.

Offered: Fall 2026 (2 sections)

AI SCI 220 Methods in Machine Learning and Artificial Intelligence

Units

4

Fundamental concepts, algorithms, and techniques in machine learning, along with an overview of the necessary mathematics. Basic principles underlying regression, classification, and unsupervised learning.

Offered: Fall 2026 (2 sections)

AI SCI 230 Software Engineering and Data Visualization for Artificial Intelligence

Units

4

Best practices of software engineering for machine learning and artificial intelligence. Effective data visualization and exploratory data analysis.

Not on the Fall 2026 schedule.

AI SCI 240 Neural Networks and Deep Learning

Units

4

Key concepts of neural networks and deep learning. Selecting appropriate architecture, training, evaluation of neural networks. Convolutional neural networks, transformers.

Not on the Fall 2026 schedule.

AI SCI 285 Special Topics in Machine Learning and Artificial Intelligence

Units

4

Repeatability: May be taken 1 time as topics vary

Special topics in machine learning and artificial intelligence of particular relevance to applications in industry, including use of large-language models.

Not on the Fall 2026 schedule.

AI SCI 286 Research Topics in Machine Learning and Artificial Intelligence

Units

4

Research topics in machine learning and artificial intelligence. Emphasis on recent developments and applications in the physical sciences.

Not on the Fall 2026 schedule.

AI SCI 290A Project Course A

Units

4

Fundamental concepts of artificial intelligence through programming projects. Data preprocessing, model evaluation, interpretation of results, managing large datasets, cloud-based resources.

Offered: Fall 2026 (1 section)

AI SCI 290B Project Course B

Units

4

Fundamental concepts of artificial intelligence through programming projects. Emphasis on adapting and applying state-of-the-art neural networks.

Not on the Fall 2026 schedule.

AI SCI 290C Project Course C: Artificial Intelligence for Science Capstone

Units

4

Capstone project applying techniques from artificial intelligence to a problem related to the physical sciences.

Not on the Fall 2026 schedule.

AI SCI 294 Ethics in Data Science

Units

2

Seminar on ethical issues related to machine learning and artificial intelligence.

Not on the Fall 2026 schedule.

AI SCI 295 Professional Development

Units

2

Seminar preparing students for careers in artificial intelligence. CV/resume, portfolio, interview skills, the AI/ML job landscape.

Not on the Fall 2026 schedule.