University Course Planner The University of Adelaide Australia

ECON 1008 - Data Analytics I

Career: Undergraduate
Units: 3
Term: Semester 1
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 1 Mon 16/03/2020 Thu 26/03/2020 Fri 12/06/2020 Not Available


Class Details

Enrolment Class: Tutorial
Class Nbr Section Size Available Dates Days Time Location
12351 TU10 32 2 13 Mar - 3 Apr Friday 10am - 11am Nexus10, UB35, Teaching Room
8 Apr - 8 Apr Wednesday 10am - 11am Hughes, 322, Teaching Room
1 May - 12 Jun Friday 10am - 11am Nexus10, UB35, Teaching Room
Note: The tutorial on Wednesday 8th April is a replacement for the public holiday on Friday 10th April.
12353 TU08 32 3 11 Mar - 11 Mar Wednesday 3pm - 4pm Hughes, 113, Teaching Room
16 Mar - 6 Apr Monday 11am - 12pm Nexus10, UB40, Teaching Room
27 Apr - 8 Jun Monday 11am - 12pm Nexus10, UB40, Teaching Room
Note: The tutorial on Wednesday 11th is a replacement for the public holiday on Monday 9th March.
12354 TU07 32 7 10 Mar - 10 Mar Tuesday 9am - 10am Mawson, 134, Sprigg Room
16 Mar - 6 Apr Monday 9am - 10am Horace Lamb, 422, Teaching Room
27 Apr - 8 Jun Monday 9am - 10am Horace Lamb, 422, Teaching Room
Note: The tutorial on Tuesday 10th March is a replacement for the public holiday on Monday 9th March.
12355 TU06 32 1 12 Mar - 9 Apr Thursday 9am - 10am Nexus10, UB35, Teaching Room
30 Apr - 11 Jun Thursday 9am - 10am Nexus10, UB35, Teaching Room
12356 TU05 32 FULL 11 Mar - 8 Apr Wednesday 11am - 12pm Nexus10, UB35, Teaching Room
29 Apr - 10 Jun Wednesday 11am - 12pm Nexus10, UB35, Teaching Room
12357 TU04 32 4 10 Mar - 10 Mar Tuesday 3pm - 4pm Badger, LG17, Teaching Room
16 Mar - 6 Apr Monday 3pm - 4pm Badger, LG17, Teaching Room
27 Apr - 8 Jun Monday 3pm - 4pm Badger, LG17, Teaching Room
Note: The tutorial on Tuesday 7th April is a replacement for the public holiday on Friday 10th April.
12358 TU03 32 FULL 12 Mar - 9 Apr Thursday 4pm - 5pm Nexus10, UB35, Teaching Room
30 Apr - 11 Jun Thursday 4pm - 5pm Nexus10, UB35, Teaching Room
12360 TU01 32 1 11 Mar - 8 Apr Wednesday 12pm - 1pm Nexus10, UB35, Teaching Room
29 Apr - 10 Jun Wednesday 12pm - 1pm Nexus10, UB35, Teaching Room
12361 TU12 32 4 12 Mar - 9 Apr Thursday 5pm - 6pm Nexus10, UB35, Teaching Room
30 Apr - 11 Jun Thursday 5pm - 6pm Nexus10, UB35, Teaching Room
12362 TU11 32 13 10 Mar - 10 Mar Tuesday 5pm - 6pm Barr Smith South, 2060, Teaching Room
16 Mar - 6 Apr Monday 4pm - 5pm Hughes, 323, Teaching Room
27 Apr - 8 Jun Monday 4pm - 5pm Hughes, 323, Teaching Room
Note: The tutorial on Tuesday 10th March is a replacement for the public holiday on Monday 9th March.
Automatic Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
12350 LE01 320 35 4 Mar - 8 Apr Wednesday 1pm - 2pm The Braggs, G60, Bragg Lecture Theatre
6 Mar - 3 Apr Friday 9am - 10am The Braggs, G60, Bragg Lecture Theatre
8 Apr - 8 Apr Wednesday 4pm - 5pm The Braggs, G60, Bragg Lecture Theatre
29 Apr - 10 Jun Wednesday 1pm - 2pm The Braggs, G60, Bragg Lecture Theatre
1 May - 12 Jun Friday 9am - 10am The Braggs, G60, Bragg Lecture Theatre