ICT 370 DATA ANALYTICS T121

All information in the Subject Outline is correct at the time of approval. KOI reserves the right to make changes to the Subject Outline if they become necessary. Any changes require the approval of the KOI Academic Board and will be formally advised to those students who may be affected by email and via Moodle.

Information contained within this Subject Outline applies to students enrolled in the trimester as indicated.

1.     General Information

      Administrative Details

      Core / Elective

Core subject for BIT 

      Subject Weighting

Indicated below is the weighting of this subject and the total course points. 

      Student Workload

Indicated below is the expected student workload per week for this subject

*        Total time spent per week at lectures and tutorials

**       Total time students are expected to spend per week in studying, completing assignments, etc.

***      Combination of timetable hours and personal study. 

      Mode of Delivery Online (face-to-face teaching temporarily suspended due to COVID-19) 

      Pre-requisites          BUS105 Business Statistics 

      General Study and Resource Requirements

o     Dedicated computer laboratories are available for student use. Normally, tutorial classes are conducted in the computer laboratories.

o     Students are expected to attend classes with the requisite textbook and must read specific chapters prior to each tutorial. This will allow them to actively take part in discussions. Students should have elementary skills in both word processing and electronic spreadsheet software, such as Office 365 or MS Word.

o     Computers and WIFI facilities are extensively available for student use throughout KOI. Students are encouraged to make use of the campus Library for reference materials.

o     Students will require access to the internet and email. Where students use their own computers, they should have internet access. KOI will provide access to required software.

Resource requirements specific to this subject: MS Imagine, MS Azure, Office 365, R-3.4.4 for windows. 

2       Academic Details

      Overview of the Subject 

Data is everywhere. The amount of digital data that exists is growing at a rapid rate, doubling every two years, and is thus drastically changing the way we live. Massive amounts of data and information are collected every second by the internet, social media, sensors and networks all over the world. Business Intelligence (BI) frameworks must handle this data. Business intelligence requires data science that deals with data cleansing, preparing, integrating and analysing data sets in order to draw conclusions about the information they contain. This subject focuses on the analysis and reporting of data and its applications to business intelligence. The subject helps you to combine technical and statistical skills, analytical thinking, and business acumen. 

      Graduate Attributes for Undergraduate Courses 

Graduates of Bachelor courses from King’s Own Institute (KOI) will achieve the graduate attributes expected under the Australian Qualifications Framework (2nd edition, January 2013). Graduates at this level will be able to apply a broad and coherent body of knowledge from their major area of study in a range of contexts for professional practice or scholarship and as a pathway for further learning.King’s Own Institute’s generic graduate attributes for a bachelor’s level degree are summarised below:

Across the course, these skills are developed progressively at three levels:

o     Level 1 Foundation – Students learn the basic skills, theories and techniques of the subject and apply them in basic, standalone contexts

o     Level 2 Intermediate – Students further develop the skills, theories and techniques of the subject and apply them in more complex contexts, and begin to integrate this application with other subjects.

o     Level 3 Advanced – Students demonstrate an ability to plan, research and apply the skills, theories and techniques of the subject in complex situations, integrating the subject content with a range of other subject disciplines within the context of the course.

To View Complete Question See Below