University Course Planner The University of Adelaide Australia

SCIENCE 1500 - Introductory Data Science - Becoming Smart About Data

Career: Undergraduate
Units: 3
Term: Semester 1
Campus: North Terrace
Contact: Up to 4 hours per week
Available for Study Abroad and Exchange: Yes
Available for Non-Award Study: Yes
Assessment: Assignments, project report and tests
Syllabus:

Delve into the rapidly emerging field of data science and learn to apply it to your future career. Touted as the “sexiest job of the 21st century” by the Harvard Business Review, and the best current job by Forbes magazine in 2016, students with data science skills are sought after across all industries. Data science techniques will enhance your employability regardless of the degree you are studying. Why? Because “big data” and advanced problem solving skills inform decision making and innovation for all organisations. Scientists are transforming the research frontier by using machine learning techniques to find Higgs bosons, classify galaxies or unravel genetic codes. Businesses are using the same techniques to identify credit card fraud, perform social network analysis and to develop automatic approaches to targeted marketing. In this course, you will become familiar with all major modern approaches to data science, including machine learning techniques and big data analysis strategies. Critically, students in this course will learn via an innovative and multi-disciplinary approach to problem solving. After a basic introduction to the different types of data analysis problem, students will be introduced to a variety of algorithms from the research frontier. To keep the course accessible to a broad audience, no mathematical knowledge will be assumed, and students will instead gain a hands-on, intuitive knowledge of how the algorithms work by using simple spreadsheet examples. A wide variety of problems from physics, chemistry, biology, health sciences and business will be used to encourage students to view problems through the lens of a different discipline; this will enhance your ability to spot innovative solutions to research problems in your own field. For business students, it will give you an ability to determine what your company or employer needs to remain competitive. Through this topic, you will develop transferable skills that will allow you to connect science to everyday issues, and you will also learn how to use real-world problems to solve new problems in science.

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 1 Mon 15/03/2021 Thu 25/03/2021 Fri 07/05/2021 Fri 11/06/2021


Class Details

Enrolment Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
12509 WR03 39 2 1 Mar - 5 Apr Monday 12pm - 2pm MyUni, OL, Online Class
4 Mar - 8 Apr Thursday 2pm - 4pm Johnson, 111, Computer Suite
26 Apr - 31 May Monday 12pm - 2pm MyUni, OL, Online Class
29 Apr - 3 Jun Thursday 2pm - 4pm Johnson, 111, Computer Suite
Note: OFFSHORE or INTERSTATE STUDENTS are able to enrol in this course and study remotely, however alternative practical activities will need to be completed in consultation with the Course Coordinator.
12510 WR02 39 FULL 1 Mar - 5 Apr Monday 12pm - 2pm MyUni, OL, Online Class
3 Mar - 7 Apr Wednesday 2pm - 4pm Johnson, 111, Computer Suite
26 Apr - 31 May Monday 12pm - 2pm MyUni, OL, Online Class
28 Apr - 2 Jun Wednesday 2pm - 4pm Johnson, 111, Computer Suite
Note: OFFSHORE or INTERSTATE STUDENTS are able to enrol in this course and study remotely, however alternative practical activities will need to be completed in consultation with the Course Coordinator.
12511 WR01 39 8 1 Mar - 5 Apr Monday 12pm - 2pm MyUni, OL, Online Class
3 Mar - 7 Apr Wednesday 11am - 1pm Johnson, 111, Computer Suite
26 Apr - 31 May Monday 12pm - 2pm MyUni, OL, Online Class
28 Apr - 2 Jun Wednesday 11am - 1pm Johnson, 111, Computer Suite
Note: OFFSHORE or INTERSTATE STUDENTS are able to enrol in this course and study remotely, however alternative practical activities will need to be completed in consultation with the Course Coordinator.