🖥️ AI & Computing Sciences Division

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Foundations of Natural Language Processing

This foundational course provides a systematic introduction to the core concepts…

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Introduction to Geoscience Literature and Report Data

This course is an essential domain-specific data preparation course for geoscien…

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Transformers and Large Language Models

This intermediate course provides an in-depth study of the Transformer architect…

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Fine-tuning, PEFT, and Instruction Tuning

This intermediate course systematically covers the diverse methodologies for ada…

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Information Extraction, NER, and Relation Extraction

This intermediate elective course provides systematic training in automatically …

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Knowledge Graph Construction and Reasoning

This advanced course comprehensively covers the design, construction, and reason…

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RAG System Design and Vector Databases

This advanced course provides an in-depth treatment of the design and implementa…

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Geoscience Ontology and Domain Knowledge Graph

This advanced elective course provides an in-depth treatment of geoscience domai…

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LLM Agent Systems, Tool Use, and Planning

This applied advanced course covers the design, implementation, and evaluation o…

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Multimodal LLM and Automated Geoscience Report Generation

This cutting-edge applied course uses vision-language multimodal LLMs to automat…

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Quantum Mechanics, Linear Algebra, and Quantum Information Foundations

This course establishes the mathematical and physical foundations required for s…

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Quantum Computing Fundamentals, Qubits, and Gates

This introductory course focuses on the practical computational model of quantum…

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Quantum Algorithms

This intermediate course provides an in-depth study of the core principles and m…

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Quantum Circuit Design and Simulation

This intermediate course develops the ability to design practical quantum circui…

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Quantum Optimization

This advanced course covers the core algorithms and paradigms for solving combin…

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Quantum Error Correction and Fault-Tolerant Computing

This advanced elective course systematically addresses quantum errors, the funda…

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Quantum Simulation and Material Property Calculation

This advanced elective course explores how to use quantum computers as simulatio…

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Quantum Machine Learning

This applied course explores the cutting-edge research field at the intersection…

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Quantum-Classical Hybrid Algorithms and Geoscience Optimization Applications

This applied elective course covers frontier research on applying quantum-classi…

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Foundations of Computer Vision

This foundational required course provides a systematic introduction to the core…

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Introduction to Geoscience Image Data

This elective introductory course covers the characteristics and processing of d…

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Deep Learning for Visual Recognition

This required intermediate course provides a systematic study of core theory and…

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Object Detection and Instance Segmentation

This required intermediate course covers the core theory and modern methodologie…

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Semantic Segmentation and Panoptic Understanding

This elective intermediate course covers the theory and practice of semantic seg…

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3D Vision and Point Cloud Analysis

This required advanced course expands from 2D image understanding to 3D spatial …

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Vision Foundation Models

This elective advanced course provides an in-depth study of the principles and a…

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Satellite and Remote Sensing Image Analysis

This elective advanced course covers understanding the physical characteristics …

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Intelligent Interpretation of Geophysical Survey Images

This required applied-level course covers the application of artificial intellig…

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3D Geological Model Reconstruction

This elective applied-level advanced course integrates cutting-edge 3D reconstru…

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Foundations of Parallel Computing

This course provides a systematic introduction to the core concepts and programm…

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Linux, HPC Environment and Cluster Operations

This foundational required course provides integrated learning from Linux OS bas…

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GPU Computing and CUDA Programming

This intermediate required course develops a deep understanding of the GPU archi…

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MLOps, ML Pipelines, and Experiment Tracking

This intermediate required course builds MLOps engineering competency for system…

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Cloud Computing, Containers, and Orchestration

This intermediate elective course covers cloud infrastructure and container orch…

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Large-Scale Scientific Simulation

This advanced required course covers the design, implementation, and optimizatio…

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Distributed AI Training and Model Parallelism

This advanced required course systematically covers distributed AI training tech…

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Edge AI and Model Compression

This advanced elective course provides comprehensive coverage of model compressi…

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AI Infrastructure Optimization and Platform Design

This capstone-level required course covers the design and operation of large-sca…

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Neuromorphic Computing and Brain-Inspired Hardware

This cutting-edge applied elective explores spiking neural networks (SNNs) and n…

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Mathematical Foundations for Machine Learning

This course provides a systematic treatment of the core mathematical disciplines…

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Python for Data Science

This course provides systematic mastery of the Python data science ecosystem ess…

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Foundations of Machine Learning

This course covers the conceptual frameworks of supervised, unsupervised, and re…

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Introduction to Geoscience Data Analysis

This course introduces the diverse data types collected and used in geoscience a…

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Deep Learning Architectures

This course provides deep coverage of modern deep learning architectures from bo…

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Bayesian Machine Learning and Probabilistic Inference

This course covers machine learning from a Bayesian perspective, enabling uncert…

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Machine Learning for Time-series and Spatial Data

This course covers machine learning methodologies specialized for time-series an…

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Unsupervised Learning and Representation Learning

This course systematically covers unsupervised and representation learning metho…

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Physics-Informed Machine Learning

This course covers Physics-Informed Machine Learning (PIML) methodologies that s…

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Generative Models

This course provides deep study of the theory and implementation of generative m…

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Graph Neural Networks

This course covers the theory and applications of Graph Neural Networks (GNN) fo…

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Explainable and Trustworthy AI

This course covers explainable AI (XAI) and trustworthy AI methodologies for und…

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Machine Learning for Geophysical Inversion

This applied course covers the practical application of machine learning to geop…

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Foundation Models and Multimodal AI

This course covers large-scale pre-trained models with billions of parameters (f…

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Federated Learning and Privacy-Preserving ML

This course covers Federated Learning (FL) architectures for collaborative ML mo…

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Machine Learning Research Seminar

This seminar-style course cultivates researcher competencies to critically read,…