FIT1043: Introduction to data science
Faculty of Information Technology
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Overview
This unit looks at processes and case studies to understand the many facets of working with data, and the significant effort in Data Science over and above the core task of Data Analysis. Working with data as part of a business model and the lifecycle in an organisation is considered, as well as business processes and case studies. Data and its handling is also introduced: characteristic kinds of data and its collection, data storage and basic kinds of data preparation, data cleaning and data stream processing. Curation and management are reviewed: archival and architectural practice, policy, legal and ethical issues. Styles of data analysis and outcomes of successful data exploration and analysis are reviewed. Standards, tools and resources are also reviewed.
Assessment
1 - Assessment 1: Data science assignment 1 - 10% 2 - Assessment 2: Data science assignment 2 - 20% 3 - Assessment 3: Data science assignment 3 - 20% 4 - Scheduled final assessment (2 hours and 10 minutes) - 50%
Workload
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
