University Course Planner The University of Adelaide Australia

ECON 1008 - Data Analytics I

Career: Undergraduate
Units: 3
Term: Semester 2
Campus: North Terrace
Contact: Up to 3 hours per week. Intensive in Summer Semester.
Restriction: Cannot be counted towards BCompSc, BCompGr, BMath, BMath Adv, BMathComp Sci or BEng(Software Engineering) students
Available for Study Abroad and Exchange: Yes
Available for Non-Award Study: Yes
Quota: A quota may apply
Incompatible: ECON 1008UAC, ECON 1011, WINEMKTG 1015EX, STATS 1000, STATS 1005, STATS 1004, STATS 1504
Assessment: Typically tutorial participation and/or exercises, assignments, tests and final exam
Syllabus:

In today's world, good decision making relies on data and data analysis. This course helps students develop the understanding that they will need to make informed decisions using data, and to communicate the results effectively. The course is an introduction to the essential concepts, tools and methods of statistics for students in business, economics and similar disciplines, although it may have wider interest. The focus is on concepts, reasoning, interpretation and thinking rather than computation, formulae and theory. Much of the work will require students to write effectively and communicate their ideas with clarity. The course covers two main branches of statistics: descriptive statistics and inferential statistics. Descriptive statistics includes collecting data and summarising and interpreting them through numerical and graphical techniques. Inferential statistics includes selecting and applying the correct statistical technique in order to make estimates or test claims about a population based on a sample. Topics covered may include descriptive statistics, correlation and simple regression, probability, point and interval estimation, hypothesis testing, multiple regression, time series analysis and index numbers. By the end of this course, students should understand and know how to use statistics. Students will also develop some understanding of the limitations of statistical inference and of the ethics of data analysis and statistics. Students will work in small groups in this course; this will develop the skills required to work effectively and inclusively in groups, as in a real work environment. Typically, one component of the assessment requires students to work in teams and collect and analyse data in order to answer a real-world problem of their own choosing.

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 10/08/2020 Wed 19/08/2020 Fri 30/10/2020 Not Available


Class Details

Enrolment Class: Tutorial
Class Nbr Section Size Available Dates Days Time Location
22555 TU10 35 1 3 Aug - 14 Sep Monday 9am - 10am Nexus10, UB35, Teaching Room
6 Oct - 6 Oct Tuesday 9am - 10am Hughes, 322, Teaching Room
12 Oct - 26 Oct Monday 9am - 10am Nexus10, UB35, Teaching Room
22556 TU09 35 5 6 Aug - 17 Sep Thursday 4pm - 5pm Barr Smith South, 2040, Teaching Room
8 Oct - 29 Oct Thursday 4pm - 5pm Barr Smith South, 2040, Teaching Room
22557 TU08 35 1 6 Aug - 17 Sep Thursday 1pm - 2pm Nexus10, UB35, Teaching Room
8 Oct - 29 Oct Thursday 1pm - 2pm Nexus10, UB35, Teaching Room
22558 TU07 35 1 4 Aug - 15 Sep Tuesday 5pm - 6pm MyUni, OL, Online Class
6 Oct - 27 Oct Tuesday 5pm - 6pm MyUni, OL, Online Class
22559 TU06 35 3 3 Aug - 14 Sep Monday 10am - 11am Nexus10, UB35, Teaching Room
8 Oct - 8 Oct Thursday 9am - 10am Hughes, 323, Teaching Room
12 Oct - 26 Oct Monday 10am - 11am Nexus10, UB35, Teaching Room
22560 TU05 35 FULL 4 Aug - 15 Sep Tuesday 12pm - 1pm Nexus10, UB35, Teaching Room
6 Oct - 27 Oct Tuesday 12pm - 1pm Nexus10, UB35, Teaching Room
22561 TU04 35 3 6 Aug - 17 Sep Thursday 5pm - 6pm Nexus10, UB35, Teaching Room
8 Oct - 29 Oct Thursday 5pm - 6pm Nexus10, UB35, Teaching Room
22562 TU03 35 3 6 Aug - 17 Sep Thursday 12pm - 1pm Nexus10, UB35, Teaching Room
8 Oct - 29 Oct Thursday 12pm - 1pm Nexus10, UB35, Teaching Room
22563 TU02 35 1 6 Aug - 17 Sep Thursday 8am - 9am Nexus10, UB35, Teaching Room
8 Oct - 29 Oct Thursday 8am - 9am Nexus10, UB35, Teaching Room
22564 TU01 35 1 4 Aug - 15 Sep Tuesday 10am - 11am Ingkarni Wardli, B17, Teaching Room
6 Oct - 27 Oct Tuesday 10am - 11am Ingkarni Wardli, B17, Teaching Room
22565 TU12 35 FULL 4 Aug - 15 Sep Tuesday 4pm - 5pm MyUni, OL, Online Class
6 Oct - 27 Oct Tuesday 4pm - 5pm MyUni, OL, Online Class
22566 TU11 35 3 4 Aug - 15 Sep Tuesday 1pm - 2pm Nexus10, UB35, Teaching Room
6 Oct - 27 Oct Tuesday 1pm - 2pm Nexus10, UB35, Teaching Room
29492 TU13 35 FULL 4 Aug - 15 Sep Tuesday 3pm - 4pm MyUni, OL, Online Class
6 Oct - 27 Oct Tuesday 3pm - 4pm MyUni, OL, Online Class
Automatic Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
22554 LE01 455 22 28 Jul - 15 Sep Tuesday 11am - 12pm MyUni, OL, Online Class
30 Jul - 17 Sep Thursday 11am - 12pm MyUni, OL, Online Class
6 Oct - 27 Oct Tuesday 11am - 12pm MyUni, OL, Online Class
8 Oct - 29 Oct Thursday 11am - 12pm MyUni, OL, Online Class