51茶馆

Staffing

Examiner:

Requisites

Enrolment is not permitted in CIS8025 if CIS8701 has been previously completed.

Rationale

Data has become an important resource for organisations. Many thousands of terabytes of data come into organisations daily through transactional data, sensor networks and social media. IT professionals increasingly working in multidisciplinary teams have the responsibility of communicating this data effectively to the key stakeholders in organisations. Drawing on data visualisation theory, concepts and design and the use if advanced data visualisation tools, big data can be presented into visual form for quick and easy comprehension so that accessible and readily discernible evidence can drive the decision-making process within an organisation.

Synopsis

This course provides students with a sound grounding in data visualisation theory, concepts and design. Students will develop the knowledge and skills to apply best practice principles in the design and implementation of data visualisation applications that utilise big data in ways that inform decision making for organisations. The course requires student to apply fundamental and advanced aspects of data visualisation theory and design principles as well as the methods and techniques for creating user-oriented data visualisation solutions using a data visualisation tool. Students will implement, through a hands-on team project, elements of sound data visualisation design, while developing an appreciation of the ethical considerations and need for strong policy to protect the privacy and security of citizens' data.

Objectives

Topics

Text and Materials

Reference Materials

Student Workload Expectations

Assessment Details

Important assessment information

1. Attendance requirements:
   
   If you are an international student in Australia, you are advised to attend all classes at your campus. For all other students, there are no attendance requirements for this course. However, it is the students' responsibility to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.
   
   
2. Requirements for students to complete each assessment item satisfactorily:
   
   To satisfactorily complete an individual assessment item a student must achieve at least 50% of the marks. (Depending upon the requirements in Statement 4 below, students may not have to satisfactorily complete each assessment item to receive a passing grade in this course.)
   
   
3. Penalties for late submission of required work:
   
   Students should refer to the Assessment Procedure (point 4.2.4)
   
   
4. Requirements for student to be awarded a passing grade in the course:
   
   To be assured of receiving a passing grade a student must achieve at least 50% of the total weighted marks available for the course.
   
   
5. Method used to combine assessment results to attain final grade:
   
   The final grades for students will be assigned on the basis of the aggregate of the weighted marks obtained for each of the summative items for the course.
   
   
6. Examination information:
   
   There is no examination in this course.
   
   
7. Examination period when Deferred/Supplementary examinations will be held:
   
   Deferred and Supplementary examinations will be held in accordance with the Assessment Procedure .
   
   
8. University Student Policies:
   
   Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene University policies and practices. These policies can be found at .
   
   

Assessment Notes

1. Referencing in assignments must comply with the Harvard (AGPS) referencing system. This system should be used by students to format details of the information sources they have cited in their work. The Harvard (APGS) style to be used is defined by the USQ library鈥檚 referencing guide. This guide can be found at .