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Discrete mathematics is that part of mathematics not involving limit processes. It includes logic, the integers, finite structures, sets and networks.
Discrete mathematics underpins many areas of modern-day science including theoretical computer science, cryptography, coding theory, operations research and computational biology. This course is an introduction to discrete mathematics, and is designed for students interested in mathematics or computer science. Topics covered in the course include: logic, number theory, cryptography, set theory, functions, relations, linear algebra and graph theory.Suitable background for MATH120 includes at least 18 credits in NCEA Level 3 Mathematics with Calculus and/or Level 3 Mathematics with Statistics; or MATH101 (available in Semester 1).
Students who have succeeded in this course will be able to: recognize and solve a range of problems in discrete mathematics understand important ideas from classical number theory, abstract algebra, graph theory and discrete probability. understand, analyse and decipher some of the old and modern cryptographic schemes think rigorously based on an axiomatic approach
1. MATH101 orMATH102 orEMTH118, or2. NCEA 14 Credits (18 strongly recommended) at level 3 Mathematics, or3. Cambridge: D at A level oran A at AS level in Mathematics, or4. IB: 4 at HL or5 at SL in Mathematics, or5. approval of the Head of School based on alternative prior learning.
Geertrui Van de Voorde
and James Bartlett
Weekly Assignments;Tutorials; Mid-Term Test; Final Exam.To obtain a passing grade in this course you must pass the course as a whole (which requires an overall mark of 50% or more) and score at least 40% in the final exam.
Epp, Susanna S;
Discrete Mathematics with Applications;
4th or 5th Edition;
General information for students
Domestic fee $780.00
International fee $4,250.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see
Mathematics and Statistics.