Our students are available for assisting to solve any business problem (internal or external) related to Transportation &/or Freight Logistics. Our students offer recommendations for transportation needs or freight logistics and/or operations or any other related challenge your company may be experiencing or other business improvement outcomes. This course is focused on developing students' understanding of transportation & freight logistics requirements and operations. The course is a popular elective and thus we have students from many disciplines enrolled bringing with them a variety of talents and interests from The Business School of RMIT University. Our campus is based in Vietnam and we are looking forward to working with you online. We will provide a final report for you to use as building your own positive outcome for your project.

This course deals with the technology involved in the initial and further processing, storage and packaging of plant derived food products. This includes processing of plant commodities (e.g. grains, fruit and vegetables), and substantially transformed food products with a significant plant component (e.g. confectionery and chocolate). The topics covered will include: Processing to convert bulk commodities into ingredients suitable for further processing into consumer products Processing to produce substantially transformed plant based food products (e.g. confectionery and chocolate) The importance of packaging technologies in fresh and minimally processed plant based products

The project addresses the application of analytics and statistics in a real world situation and is a capstone project for final year Master students. Our students have extensive knowledge in data extraction and preprocessing, data wrangling and exploration, data visualization, machine learning, forecasting, multivariate analysis, quality control and experimental design. Computing skills include querying language (SQL), scripting language (R, Python) & statistical language (R, SAS).

TO EDIT The project addresses the application of analytics and statistics in a real world situation and is a capstone project for final year Master students. Our students have extensive knowledge in data extraction and preprocessing, data wrangling and exploration, data visualization, machine learning, forecasting, multivariate analysis, quality control and experimental design. Computing skills include querying language (SQL), scripting language (R, Python) & statistical language (R, SAS).