30 技术课程 暑期课程 Programs in 美國

What are the theoretical limits of computing power? What problems can be solved with computers? Which ones cannot? And how can we reason about the answers to these questions with mathematical certainty? This course explores the answers to these questions and serves as an introduction to discrete mathematics, computability theory, and complexity theory. At the completion of the course, students will feel comfortable writing mathematical proofs, reasoning about discrete structures, reading and writing statements in first-order logic, and working with mathematical models of computing devices. Throughout the course, students will gain exposure to some of the most exciting mathematical and philosophical ideas of the late nineteenth and twentieth centuries.

High-performance computing (HPC) is a field at the forefront of a range of high-tech applications such as computational fluid dynamics, image processing, and financial risk management. With the demands of machine learning outstripping conventional computing, HPC is also at the forefront of artificial intelligence. This course will discuss how HPC clusters are used in large-scale problems in academia and industry alike. Students will learn about HPC clusters from the ground up and gain a solid foundation in parallel computer architectures, cluster operating systems, resource management, and containers. They will build their own systems via the remote installation of physical hardware, configuration and optimization of a high-speed network, and integration of other technologies used throughout the HPC world.

减少住宅规模建筑能源需求的技术和工艺的定量评估。供暖和制冷负荷计算、财务分析、被动式太阳能设计技术、热水系统、净零能耗全电住宅的光伏系统规模。

离散和连续时间马尔可夫链、泊松过程、随机游走、分支过程、首次通过时间、递归和瞬态、平稳分布。非统计学硕士生可能会考虑参加 STATS 215。

在运动生理学中，我们讨论这些问题以及更多问题，最终揭示决定我们的身体如何应对各种形式的压力（如运动）的原理。

Worst and average case analysis. Recurrences and asymptotics. Efficient algorithms for sorting, searching, and selection. Data structures: binary search trees, heaps, hash tables. Algorithm design techniques: divide-and-conquer, dynamic programming, greedy algorithms, amortized analysis, and randomization. Algorithms for fundamental graph problems: minimum-cost spanning tree, connected components, topological sort, and shortest paths. Possible additional topics: network flow, and string searching. Prerequisite: 103 or 103B; 109 or STATS 116.

参加斯坦福高性能计算中心和 HPC-AI 咨询委员会举办的 HPC-AI 夏季研讨会系列，准备探索高性能计算 (HPC) 和人工智能 (AI) 的未来及其对我们的生活、工作和学习方式的影响。这门 1 单元课程旨在提供实用见解和思想领导力，并讨论具有重大社会意义的话题。

入门生物化学重点关注结构/功能及其在医学、营养学和生物技术中的应用，包括酸/碱化学、蛋白质结构、酶机制、热力学和动力学；核酸结构/功能和信息传递、碳水化合物和碳水化合物代谢、脂质和脂质代谢以及氧化能量代谢的生物能量学。

人工智能 (AI) 的兴起既带来了希望，也带来了危险 - 有些已经得到证实，有些则只是预测。在本课程中，我们将通过探索人工智能系统工作的基本机制、研究有关人工智能能力和局限性的假设以及分析人类与人工智能系统交互的方式来揭示围绕人工智能的道德问题。