• Offered by School of Politics and International Relations
  • ANU College ANU College of Arts and Social Sciences
  • Classification Research
  • Course subject Political Science
  • Areas of interest Policy Studies, Political Sciences, Politics
  • Academic career PGRD
  • Mode of delivery In Person

This course will introduce students to the basic concepts and introductory tools associated with quantitative methodology in political science. Course content includes topics such as descriptive statistics, basic probability, and inference and regression analysis. Students are not presumed to have a strong background in mathematics, only a willingness to participate and learn is required.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. apply a range of basic descriptive and inferential quantitative techniques to analyse political phenomena;
  2. explain the complexity of contemporary politics from the perspective of solid research design and empirical analysis;
  3. generate, explain and visualise descriptive and basic inferential statistics for political phenomena using a statistical software package; and
  4. apply relevant concepts and techniques to complete a research project and presentation suitable for delivery at a graduate-level political science conference.

Indicative Assessment

  1. Seminar participation (20) [LO 1,2]
  2. 5 assessments (code, output and visualisations) (50) [LO 2,3]
  3. Final Exam (30) [LO 1,2,3,4]

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

260 hours of total student learning time made up from:
a) 48 hours of contact over 12 weeks: 36 hours of lectures, and 12 hours of tutorials; and
b) 212 hours of independent student research, reading and writing.

Inherent Requirements

Not applicable

Prescribed Texts

There are no prescribed texts assigned for this course.

Students looking to use a textbook as a reference are referred to Diez et al. OpenIntro Statistics, 4th ed., available for free at https://leanpub.com/openintro-statistics, and Grolemund and Wickham, 2016, R for Data Science, O'Reilly Media, Inc

Fees

Tuition fees are for the academic year indicated at the top of the page.  

Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees

Student Contribution Band:
14
Unit value:
12 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
12.00 0.25000
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

There are no current offerings for this course.

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