This workshop provides transferable knowledge applicable across computer science disciplines. It will help you to describe and classify the concepts of the decimal positional number systems, build your knowledge of Binary and Hexadecimal number systems, and start work with data using these systems.
This workshop covers programming using Java, including how to define an algorithm, understand the key features of Java programming language, and develop the foundational skills to write basic Java programs. Before the workshop you will need to install VS Code with Java pack https://code.visualstudio.com/docs/languages/java OR create a free account on https://replit.com for maximum benefit.
This workshop introduces the Python skills required for data mining operations, including file operations, modules and applications including NumPy, Matplotlib, and Pandas.
Before the workshop, ensure you have Python installed. Options include:
Download Python with IDLE from https://www.python.org.
Use rich IDEs like VS Code or PyCharm.
Explore Anaconda with Spyder and Jupyter.
Try online IDEs like www.replit.com or https://colab.research.google.com.
This workshop introduces the fundamental concepts of databases, focusing on the design aspects essential for effective data management. Participants will explore the components of relational databases and learn how to implement basic data modelling techniques, including normalisation principles. You will also construct Entity-Relationship Diagrams (ERDs) to visually represent database models. This workshop serves as a foundation for understanding database design principles.
This workshop outlines the website planning and design process, introducing participants to the basics of HTML and CSS. You will explore the principles of effective web design and learn to build a website while applying common good practices for functionality and user experience. This session will equip you with the knowledge needed to create intuitive and accessible websites.
This workshop is for students that use the AU Harvard referencing style. It will focus on in-text citations, developing a reference list and how to reference some of the most frequently used source types.