University Course Planner The University of Adelaide Australia

APP DATA 2015 - Data Taming and Prediction

Career: Undergraduate
Units: 3
Term: Semester 2
Campus: North Terrace
Contact: Up to 7 hours per week
Available for Study Abroad and Exchange: Yes
Available for Non-Award Study: Yes
Assumed Knowledge: SCIENCE 1500 or MATHS 1004 or ECON 1008
Incompatible: DATA 7201OL
Assessment: Programming practical reports, quizzes, research project
Syllabus:

The foundation of data analytics is based on statistics. This course will cover the concepts of random sampling and bias, experimental design, regression statistics and outliers, classification techniques, and unsupervised 'machine' learning. The course will use R as its core programming environments using real example data sets.

Course Fees

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Student Status

Domestic
International

What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Undergraduate
Postgraduate Coursework
Non Award

Program of Study

Study Abroad student tuition fees are available here

Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.

Units
EFTSL
Amount
3
0.125
          
  


Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here


Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
Semester 2 Mon 11/08/2025 Wed 20/08/2025 Fri 19/09/2025 Fri 31/10/2025


Class Details

Enrolment Class: Seminar
Class Nbr Section Size Available Dates Days Time Location
24478 SE01 40 4 28 Jul - 15 Sep Monday 10am - 11am Engineering Sth, S111, Teaching Room
6 Oct - 27 Oct Monday 10am - 11am Engineering Sth, S111, Teaching Room
Related Class: Tutorial
Class Nbr Section Size Available Dates Days Time Location
21002 TU01 40 4 29 Jul - 16 Sep Tuesday 10am - 12pm Benham, G25, Peter Martin Room
7 Oct - 28 Oct Tuesday 10am - 12pm Benham, G25, Peter Martin Room
Related Class: Practical
Class Nbr Section Size Available Dates Days Time Location
24297 PR02 10 4 30 Jul - 17 Sep Wednesday 9am - 10am Engineering & Mathematics, EM106, Computer Suite
8 Oct - 29 Oct Wednesday 9am - 10am Engineering & Mathematics, EM106, Computer Suite
24477 PR01 20 FULL 29 Jul - 16 Sep Tuesday 9am - 10am Engineering & Mathematics, EMG13, Computer Suite
7 Oct - 28 Oct Tuesday 9am - 10am Engineering & Mathematics, EMG13, Computer Suite
28332 PR03 10 FULL 30 Jul - 17 Sep Wednesday 10am - 11am Engineering & Mathematics, EM106, Computer Suite
8 Oct - 29 Oct Wednesday 10am - 11am Engineering & Mathematics, EM106, Computer Suite