MATH1011 is a Level I Mathematics course intended for students who are in specific programs (such as Industrial Design), or who do not have sufficient Assumed Knowledge for direct entry into MATH1131, Mathematics 1A. See the course overview below. This course is not available as a General Education course or as a free elective.
Assumed knowledge: A level of knowledge equivalent to achieving a mark of at least 60 in HSC Mathematics is assumed; students who have taken HSC General Mathematics will not have achieved this level. Students who have completed HSC Mathematics, but have not achieved a mark of at least 60 are advised to complete an appropriate Bridging Course before the commencement of semester. Otherwise, they are advised to seek help from the Director of First Year Mathematics.
Exclusions: MATH1031, MATH1131, MATH1141, MATH1151, ECON1202, ECON2291.
Cycle of offering: Yearly in Semester 1 and 2; Terms 1 & 3 in trimester.
Graduate attributes: The course will enhance your research, inquiry and analytical thinking abilities.
The Online Handbook entry contains up-to-date timetabling information.
If you are currently enrolled in MATH1011, you can log into UNSW Moodle for this course.
For general advice, see advice on choosing first-year courses.
MATH1011 has two lecture strands, one in Calculus and one in Algebra, and introduces students to MAPLE, a computer based mathematical software package.
The Calculus strand emphasises curve sketching and develops the basic theory of differentiation, which can be thought of as the mathematical study of change, and of integration, which can be thought of as the mathematical study of area. One of the most practical results in mathematics, the Fundamental Theorem of the Calculus, states the surprising result that these theories are intimately connected. Modelling with the exponential function and the study of separable differential equations are given prominence in this strand.
The Algebra strand revises the theory of the trigonometric functions, and begins the study of vectors and matrices: with these two tools we can cope with simultaneous equations involving many variables. Complex numbers are also studied as they are needed when solving polynomial equations.