- Code MATH6005
- Unit Value 6 units
- Offered by Mathematical Sciences Institute
- ANU College ANU Joint Colleges of Science
- Course subject Mathematics
- Areas of interest Computer Science, Mathematics, Advanced Computing, Algorithms and Data, Computer Engineering
Introduction to discrete mathematics and its use in mathematical modelling. Emphasis will be placed on developing facility, technique and use in applications. Modelling of processes and phenomena which occur in the physical, environmental and life sciences, especially computer science, will be used as a vehicle throughout. Topics to be covered include: logic and set theory, combinatorics and counting, induction and recurrence relations, graph theory and networks, matrix arithmetic and Markov chains.
This course is co-taught with undergraduate students but assessed separately.
Upon successful completion, students will have the knowledge and skills to:
- Recall, invent or interpret examples of motivation for mathematical constructs used in discrete mathematics as models of processes in the world.
- Recognise, define, explain and use terminology and notation from discrete mathematics.
- Identify the logical structure of a statement, and then identify the logical structure of an argument that may be used to prove or disprove the statement.
- Competently perform mathematical calculations in discrete mathematics using methods presented in the course.
- Write simple proofs/construct explicit counterexamples for statements relating to discrete mathematics topics covered in the course.
- Use their deep knowledge and understanding of the material presented in the course to formulate responses to complex concrete and abstract problems.
- Communicate their understanding and skills in discrete mathematics with colleagues and non-experts and apply their knowledge in an occupational situation.
- Workshop quizzes (8) [LO 1,2,3]
- Graduate assignments (four) (16) [LO 1,2,3,4,5,6,7]
- Mid-Semester Examination (26) [LO 1,2,3,4,5,6,7]
- Final Examination Regardless of performance on other assessment items, a minimum scaled score of 40% on the final exam is required to pass the course. (This is known as a 'course hurdle'.) (50) [LO 1,2,3,4,5,6,7]
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The expected workload will consist of approximately 130 hours throughout the semester including:
• Face-to face component which may consist of approximately 33 hours of lecture activities (usually three one-hour lectures each week), and twenty hours of workshop activities (one two-hour workshop per week in ten weeks of the semester).
• Approximately 77 hours of self directed study which will include preparation for lectures and workshops, completion of regular formative assessment items, and study of the course materials.
There are no course-specific inherent requirements.
Requisite and Incompatibility
There are no specific reading books required. PDF copies of all lecture slides will be made available on the course website, in addition to the ECHO lecture recordings.
Some students may find it helpful to refer to a text book for an alternative exposition of certain topics and extra practice problems. The following text is recommended for this purpose: Susanna Epp: Discrete Mathematics with Applications; 3rd or 4th or 5th ed. Cengage.
References to this text will be provided for most course topics. The text does not cover every single topic in the course, and covers a number of topics not required for the course, but is nonetheless a good match to course in both level and content.
Secondary School Prerequisite: ACT Mathematical Methods or NSW HSC Mathematics or equivalent.
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:
- Unit value:
- 6 units
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