This is an introductory statistics unit for students in the agricultural, life and environmental sciences. It provides the foundation for statistics and data science skills that are needed for a career in science and for further study in applied statistics and data science. In the first portion of the unit the emphasis is on describing data using statistical and graphical summaries, and probability models. In the second part the focus is on formal hypothesis testing on experimental data using statistical tests. The final part of the unit is on finding patterns in biological and environmental data, through the use of linear and non-linear functions. In the practicals the emphasis is on applying theory to analysing real datasets using the spreadsheet package Excel and the statistical software package R. A key feature of the unit is using R to develop coding skills that are become essential in science for processing and analysing datasets of ever increasing size.

In the 21st century the population of the world will increase both in size and its expectation in terms of food, energy and consumer demands. Against this demand we have a planet in crisis where natural resources are degraded, biodiversity is diminishing and planetary cycles related to climate are reaching points of irreversible change. Management of our precious natural resources is a balancing act between production and conservation as always, but now we have to do this against a background of potential large scale changes in climate. In this unit students will gain an understanding of the key environmental challenges of the 21st century; namely food security, climate change, water security, biodiversity protection, ecosystems services and soil security. In the second half using Australian case studies we will explore how we manage different agro-ecosystems within their physical constraints around water, climate and soil, while considering linkages with the global environmental challenges. Management now, in the past and the future will be considered, with an emphasis on food production. This unit is recommended unit for students interested in gaining a broad overview of the environmental challenges of the 21st century, both globally and within Australia.

This unit builds on introductory 1st year statistics units and is targeted towards students in the agricultural, life and environmental sciences. It consists of two parts and presents, in an applied manner, the statistical methods that students need to know for further study and their future careers. In the first part the focus is on designed studies including both surveys and formal experimental designs. Students will learn how to analyse and interpret datasets collected from designs from more than than 2 treatment levels, multiple factors and different blocking designs. In the second part the focus is on finding patterns in data. In this part the students will learn to model relationships between response and predictor variables using regression, and find patterns in datasets with many variables using principal components analysis and clustering. This part provides the foundation for the analysis of big data. In the practicals the emphasis is on applying theory to analysing real datasets using the statistical software package R. A key feature of the unit is using R to develop coding skills that are become essential in science for processing and analysing datasets of ever increasing size.

The food and beverage sector is one of the key economic activities in virtually all countries in the world today. When it comes to logistics and supply chain management within this sector, there is a level of complexity, not frequently found in other industries. This includes the need to consider products bulkiness, perishability and seasonality, coupled with potential additional infrastructure requirements in respect of temperature-controlled storage and transport. As a consequence, there is a higher imperative to have a well-designed end-to-end supply chain. Equally, it is important to understand issues from the perspectives of the various actors in food and beverage supply chains including farms, processing units, wholesalers / distributors, and retailers. Overarching the structuring of any food and beverage supply chain will be consideration of issues such as perishability, quality and risk. Further, for a supply chain to be effective and efficient consideration also needs to be given to the support functions of information management, use of technology, and financial reporting. In today's world, companies compete on supply chains. Those who have the ability to establish a distinctive supply chain and create it as a strategic asset will therefore emerge as industry leaders.

This unit aims to develop a student's ability to undertake a major research project in an area of specialization. The unit builds on theoretical and applied knowledge gained across most of the units of study undertaken throughout their degree program. This unit is a corequisite with AFNR4102 and each student will work with an academic supervisor in an area of specialization and develop a well defined research project to be executed. The research project is undertaken to advance the students ability to build well-developed research skills, a strong analytical capacity, and the ability to provide high quality research results demonstrating a sound grasp of the research question. Working with an academic supervisor students will develop their ability to define a research project including the producing of testable hypotheses, identifying existing knowledge from reviewing the literature and the design and execution of a research strategy towards solving the research question. Students will build on their previous research and inquiry skills through sourcing a wide range of knowledge to solve the research problem and enhance their intellectual and personal autonomy by means of the development of experimental programs. Students will improve their written and planning skills by composing a research project proposal and the writing of a comprehensive literature review.

This unit is a continuation of the major research project initiated in AFNR4101 and continues to build on theoretical and applied knowledge gained across most of the units of study undertaken throughout their degree program. Working with their academic supervisor in the area of specialization the student will continue to pursue the defined research project towards presenting final results and conclusions. The research results are presented in a format of a research paper as submitted to a research journal. The research paper and corrected literature review is combined and presented together as a thesis. Students will continue to build their research skills, develop strong analytical capacity, demonstrate a sound grasp of the topic, and an ability to interpret results in a broad framework. Working with an academic supervisor students will develop their ability to produce results of high quality, draw reliable conclusions and identify future areas avenues of research. Students will build on their previous research and inquiry skills through sourcing a wide range of knowledge to solve the research problem and enhance their intellectual and personal autonomy by means of the managing the research program. Students will improve their communication skills through oral presentation of their research findings, the production of a poster detailing their research findings and the writing of a research paper.