墨尔本大学 课程目录

Intermediate macroeconomic analysis develops the tools, skills and knowledge base necessary to operate as a practicing macroeconomist. These may include: models of long run economic growth; an assessment of the evidence on economic growth and its implications; the flexible-price macroeconomic model in which markets continuously clear; an assessment of the evidence regarding whether prices and wages are flexible or sticky; the sticky price macroeconomic model in which markets do not always clear; assessment of the flexible and sticky price models; the analysis of macroeconomic policy making.

课程定位 COMP90056（Stream Computing and Applications）是墨尔本大学计算机方向的研究生课程，定位在专业能力深化与行业/研究应用之间。课程通常面向已有编程与基础算法背景的学习者，强调把课堂知识转化为可交付成果。它常作为后续 capstone、研究项目或岗位能力提升的关键衔接课。 技术栈与学习内容 课程内容围绕高级计算机主题展开，常见技术包括 Python、C/C++、机器学习工具链、系统设计方法、实验评估流程与学术检索写作。学习不仅要求掌握核心概念，还需要解释方法选择依据、结果可信度与局限性，训练“问题定义-方案设计-评估优化”的完整链路。 课程结构 一般按 12-13 周推进：前段建立理论框架，中段进入高密度作业与案例实践，后段做综合整合与期末评估。考核通常由 Quiz/实验、2 次作业或项目、展示及期末评估构成。即便没有明确 Hurdle，评分依旧会关注关键能力达标，不能依赖单项突击。 适合人群 适合希望在 AI、软件工程、数据与系统方向进一步深耕的硕士同学。建议每周投入 10-14 小时，采用“预习-实践-复盘”节奏。课程难点在于多任务并行与高标准输出；能稳定执行周计划并及时复盘的人，后期表现通常更稳。

本课程将向学生介绍在测绘中使用的技术和现场程序。 学生将了解飞机测绘的基本原理，并掌握进行小面积测绘所需的所有测量和计算的技能。 将有几项户外实践作业结合在一起，以产生感兴趣区域的细节和轮廓图。 本单元提供空间系统专业所需的基础测量技能。 精通此科目的实践的学生将能够在有执照的测量师的监督下，在工作场所中应用此知识。 涵盖的内容：在平面上进行测量的理论和实践，包括相关的计算。 使用自动化仪器进行水平，移动，细节和轮廓观测，计划准备以及将实地调查纳入地理信息系统。 介绍高级测量技术，包括3d激光扫描和GPS。

Semester 1 - On Campus This subject aims to provide students with basic training on modern financial mathematics methods, which covers an overview of data analysis, principles of actuarial modelling and financial transactions, the understanding of real and nominal interest rates, the time value of money methods, bond pricing methods, assets replication methods, the equation of value methods, and project appraisals methods. This subject focuses on applying the above methods to the mathematical modelling of financial markets.

Semester 2 - On Campus This subject aims to provide a thorough grounding in stochastic techniques for actuarial studies. It covers some probability concepts including expectations, conditional expectations, joint and marginal distributions, moment generating function and probability generating function; some commonly used probability distributions in insurance and finance; mixed distributions and actuarial applications; ordinary differential equations and actuarial applications; recursive techniques and actuarial applications; actuarial applications of Laws of Large Numbers and Central Limit Theorem; generating and Laplace transforms; actuarial applications of Brownian motion, geometric Brownian motion and lognormal distribution; stochastic integrals and Ito’s formulae.

Semester 2 - On Campus This subject aims to provide students with grounding in some topics in actuarial studies, covering distributions of accumulations and present values; stochastic interest rate models; time series models; an introduction to ruin theory; claim run-off triangles; stochastic simulation.

Semester 1 - On Campus This subject aims to provide students with a grounding in mathematical and statistical modelling techniques that are of particular relevance to actuarial work, covering survival models concepts, estimation procedures for lifetime distributions, multiple state models, binomial and Poisson models of mortality, actuarial applications of discrete-time and continuous-time Markov chains. This subject focuses on modelling techniques in life insurance.

解决21世纪我们面临的环境，经济和社会难题，需要采取综合的，多学科的方法。 该课程在空间系统专业的最后一个学期提供，为学生整合和应用他们在不同学科的学习中获得的知识以解决现实问题提供了基础。 该项目将提供机会，将基本概念，理论和应用知识应用于定位技术和测量集成，GIS，分布式空间计算和地图绘制，Web映射以及基于位置的服务等核心领域。 该科目还将为学生提供充分的机会，使他们获得如何执行真实世界，客户驱动的跨学科项目的经验和技能，包括重要的沟通和组织技能。 该课程将进行为期4天的住宅现场工作。 这项野外作业对所有学生都是必修的。

Semester 1 - On Campus The aim of this subject is to provide students with grounding in mathematical and statistical modelling techniques that are of particular relevance to actuarial work, including methods of estimating mortality rates and assessing their adherence to data and smoothness, as well as techniques for mortality projections. Also, elementary principles of machine learning are covered, with applications to mortality modelling.

Semester 2 - On Campus This subject introduces various insurance and annuity products, teaches fundamental knowledge of actuarial pricing and reserving, and discusses techniques used for projecting and valuing insurance and annuity cashflows which are contingent on the status of single or multiple lives. Actuarial modelling of insurance products is taught and explored using spreadsheets in realistic contexts.

在本课程中，学生将学习有关土地管理系统以支持可持续土地管理的知识。 重点将放在促进土地的社会，环境和经济功能的土地信息基础设施上。 将介绍国际土地管理的良好做法以及从发展中国家和发达国家汲取的技术和体制经验教训。 该科目与希望在测量，空间信息，土木与环境工程，物业管理，城市规划等领域建立职业的学生特别相关，但也与应考虑土地和土地信息的一系列学科有关。 该科目是学生获得理学学士学位和环境学学士学位的空间系统专业的四门必修科目之一。 这也导致了硕士课程的进一步学习。 包含内容：土地概念； 土地管理系统的演变； 土地管理是经济增长和减贫的发展战略； 地籍概念以及法律，财政，多用途和海洋地籍； 地籍测绘； 土地登记； 在非正式，正式和惯例使用权范围内与土地有关的权利，限制和责任； 发展中国家的地籍系统，包括非正式地籍，习惯权属； 有关土地管理的有关国际声明和声明； 地籍改革； 土地管理“工具箱”； 支持土地管理的体制安排； 空间数据基础设施； 数字地籍数据库； 建模，设计和评估地籍和土地管理系统； 土地市场及其与规划，估价和地籍的关系； 获得土地信息； 土地管理和空间信息系统。

Semester 2 - On Campus This subject aims to provide students with grounding in advanced linear regression analysis which includes multiple linear regression, Spearman's and Kendall's measures of correlation, principal component analysis and generalised linear models. This subject also focuses on explaining the fundamental concepts of Bayesian statistics, deriving Bayesian estimators, and describing and applying the essential concepts of credibility theory.