墨尔本大学 课程目录

Precision Agriculture can be broadly defined as site-specific soil-crop or animal-specific management of agricultural production systems by leveraging on technology and data. This subject will build students’ knowledge and skills in the key principles and practices of Precision Agriculture in a range of agricultural production contexts including broadacre cropping, horticulture and livestock farming. Frameworks and case studies of technological innovation, adoption and diffusion in the agricultural sector will be an integral component of the curriculum. Through a series of seminars, practicals, fieldwork excursion activities coupled with industry involvement, students will be equipped to work effectively in the increasingly networked, digital, automated and data-rich environment of primary production, and gain experience with Precision Agriculture equipment. Adopting a ‘Big Data’ perspective, students will acquire skills in agricultural/environmental data management and analysis, and their application to crops and animals

课程介绍： 这种以实践为导向的学科使学生能够培养他们与内部和外部客户建立和利用良好工作关系的能力。来自行业的反馈表明，这些“咨询技能”受到高度重视，是就业和晋升决策的重要因素。信息系统专业人员了解到技术知识本身很少，并且必须得到与客户理解，沟通和协作的能力的支持。 学生可以单独或以小组形式工作。课程是互动的，注重实践，阅读和研究任务主要在课外进行。大多数课程都邀请来自行业的演讲嘉宾。 涵盖的主题包括了解业务和管理需求，设定和管理期望，报告和保持进度，提供建议，书面和口头交流，咨询道德以及咨询业务。 该主题将提高学生管理与利益相关者关系的能力，有效沟通IS服务，并有效地与组织中的高级决策者进行交流。

该科目将培养学生的细胞和发育生物学知识，并在第二年的科目中进行介绍。该课程的目的是让学生了解用于研究细胞生物学和发育生物学的方法，并理解与发展包括微生物，无脊椎动物，脊椎动物和植物在内的多种生物有关的主要概念。特别关注的是用于研究生物系统并解决当前的生物和生物医学问题（包括人类发展，健康和疾病）的方法范围（遗传，细胞，解剖和生理）。该多学科课程由解剖与细胞生物学，植物学，遗传学和动物学系的工作人员共同授课。本课程的特色是将这些知识应用到纯粹的应用研究中，因此将为许多生命科学专业（包括生物技术和细胞与发育生物学专业）的学生提供一个平台。

This subject focuses on understanding the main agronomic factors affecting Australian agriculture in the endeavour for efficient and sustainable farming systems. It builds on students’ knowledge of crop production with a particular emphasis placed on the management of and interaction between fertilisers, water, pests and weeds. The subject begins with a general introduction on the application of principles of agronomy for guiding the formulation of decisions made by producers, their interpretation and the impacts they may have. Students will interpret and analyse soil, crop and system information with a view to predicting fertiliser requirements and designing other management strategies for common agronomic scenarios and problems. Students will critically evaluate the impacts agronomic decisions have on the production and quality of crops and wider cropping systems.

This subject provides both the conceptual frameworks and practical illustrations of business analysis techniques including decision trees, simulation and optimisation. These frameworks will be applied to various decisions faced by organisations, with applications in the areas of entrepreneurship, strategy, operations, marketing and finance.

课程介绍： 本课程介绍用于识别和建模业务流程的主流方法和技术，从而设计和分析支持此类流程的信息系统。 学生还将获得开展这些活动所需的软件工具经验。 该课程位于信息系统硕士课程的下级核心中，但对于希望学习流程驱动型业务设计和分析的任何人来说都是有价值的。

本课程介绍了现代基因组学数据的基础生物学和技术，所得数据类型的特征（包括错误和缺失的频率和模式）以及用于分析它们的统计方法。 它将包括使用R软件进行的动手数据分析。 所涵盖的材料将随着基因组学技术和实践的变化而发展，并将涵盖以下四个领域：基因组学技术及其结果数据的介绍，种群遗传学，关联分析（包括关联测试和混杂的主要来源，遗传力和人类预测） 遗传学以及用于动植物的育种，以及表达数量性状基因座的表达分析。

This subject develops the probability theory that is necessary to understand statistical inference. Properties of probability are reviewed, random variables are introduced, and their properties are developed and illustrated through common univariate probability models. Models for the joint behavior of random variables are introduced, along with conditional probability and Markov chains. Methods for obtaining the distributions of functions of random variables are considered along with techniques to obtain the exact and approximate distributions of sums of random variables. These methods will be illustrated through some well known normal approximations to discrete distributions and by obtaining the exact and approximate distributions of some commonly used statistics. Computer packages are used for numerical calculations but no programming skills are required.