• Offered by School of Computing
  • ANU College ANU College of Systems and Society
  • Course subject Computer Science
  • Areas of interest Philosophy, Computer Science, Intelligent Systems, Artifical Intelligence, Computational Foundations
  • Academic career PGRD
  • Mode of delivery In Person
  • Co-taught Course
  • STEM Course

Formal logic is the fundamental mathematics of computer science. Its impact ranges from the design of programming languages and hardware, to the specification and verification of critical software, to artificial intelligence systems that can reason. This course introduces propositional and predicate logic. We discuss how to reason within these logics, how to reason about their properties and limitations, and how to use them to model situations of interest in both natural language and computer science applications. We explore how computational thinking can help us solve logic problems.

Learning Outcomes

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

  1. Model natural language and computer science applications using logical notation.
  2. Construct formal proofs in logical calculi.
  3. Apply computational methods to solve logical problems.
  4. Analyse the properties of logics, including the relationship between logical calculi and mathematical semantics.
  5. Understand the relationships between different logics with applications to computer science.

Indicative Assessment

  1. Weekly exercises conducted during tutorials (50) [LO 1,2,3]
  2. Final exam (50) [LO 1,2,3,4,5]

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

130 hours of total student learning time made up from lectures, tutorials; and independent student research, reading and writing.

Requisite and Incompatibility

You are not able to enrol in this course if you have previously completed PHIL2080 or COMP2620.

Prescribed Texts

None

Assumed Knowledge

Logical and mathematical notation and basic proof techniques, as taught in an introductory university course on mathematics or theoretical computer science, such as MATH6005 or COMP6260.

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:
2
Unit value:
6 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
6.00 0.12500
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.

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions