Introduction to Data Science (11372.1)
|Level:||Level 3 - Undergraduate Advanced Unit|
|Faculty:||Faculty of Science and Technology|
|Discipline:||Academic Program Area - Technology|
UC - Canberra, Bruce
Year Teaching Period Convener Mode of Delivery 2020 Semester 1 DR Ibrahim RADWAN (Ph: +61 2 62015338 ) ON-CAMPUS 2020 Semester 2 DR Ibrahim RADWAN (Ph: +61 2 62015338 ) ON-CAMPUS
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- Semester 1, 2020, ON-CAMPUS, BRUCE (192302) - View
- Semester 2, 2019, ON-CAMPUS, BRUCE (192445) - View
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This unit provides an introduction to the rapidly developing field of data science, which deals with the dramatic growth in the scale and complexity of data that can be collected and analysed. Data and its analysis and modelling underpins all aspects of work and society in the 21st century. Understanding effective and ethical ways of using vast amounts of data (big data) is a significant challenge to science and to society. Applying and developing techniques for data analysis and decision making requires interdisciplinary research in many areas, including algorithmic reasoning, statistics, technology competence, data handling, big data analysis / modelling, pattern recognition / artificial intelligence, enterprise / cloud computing, data visualisation / communication, as well as privacy and security. This unit will introduce you to the core competencies of data science, starting from the philosophy and ethics of data collection and analysis, to data handling, to statistical modelling and machine learning, to scientific data visualisation and communication. Practical exercises, individual study and group work will consolidate your learning and provide the foundations for later study.
After successful completion of this unit, students will be able to:
1. Demonstrate an understanding of the principles of data science;
2. Demonstrate practical knowledge in basic data preparation;
3. Use appropriate modelling and analyse techniques for simple data science problems;
4. Demonstrate competent skills in using data science technology; and
5. Communicate results effectively.
UC - Canberra, Bruce
- Semester 1, 2020
- Semester 2, 2019
Two hours of lectures, a one hour tutorial and a one hour computer laboratory on campus per week.
Must have passed 24 credit points.
Working knowledge of discrete mathematics, algebra and numerical analysis.
11516 Introduction to Data Science G