Foundation unit for MDataSc and GDDS to make a one-unit combination from MAT1830 and MAT1841 and streamline students mathematical preparation.

This unit has been replaced by MAT9004 for introduction Semester 1, 2017.

Upon successful completion of this unit students should be able to:

1. use trees and graphs to solve problems in computer science;
2. apply counting principles in combinatorics;
3. describe the principles of elementary probability theory, evaluate conditional probabilities and use Bayes' Theorem;
4. demonstrate basic knowledge and skills of linear algebra, including the manipulation of matrices, solution of linear systems, and evaluate and apply determinants;
5. explain fundamental concepts in calculus including basic differentiation and integration, and composite, inverse and parametric functions;
6. perform key skills in the calculus of functions of several variables including the calculation of partial derivatives, find tangent planes and identify stationary points, root findings and convexity for optimisation.

010101

Mathematical topics fundamental to computing and statistics including trees and other graphs, counting in combinatorics, principles of elementary probability theory, linear algebra, and fundamental concepts of calculus in one and several variables.

On-campus, Monash Online

Taught by School of Mathematical Sciences, at Level 2 (AQF7) foundation unit for Master of Data Science and GDDS.

On-campus: Examination (3 hours): 70%; In-semester assessment: 30%

Monash Online: In-semester assessment: 100%

Monash Online units cannot have exams. Therefore all assessment must be in-semester.

To ensure that the students work is authentic, academic staff closely supervise students participation online and communicate with students by email regularly. They also conduct and document student interviews via the phone or online conferencing software throughout the semester. These methods complement our online assessment tools such as Respondus Lock-down browser and Turnitin.

Minimum total expected workload equals 144 hours per semester comprising:

1. Contact hours for on-campus students:
   • Three hours/week lectures.
   • One and half hours/week laboratories.
2. Contact hours for Monash Online students:
   • Two hours/week online group sessions.
   • Online students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.
3. Additional requirements:
   • A minimum of 7.5 hours per week of personal study (22 hours per week for Monash online students) for completing lab/tutorial activities, assignments, private study and revision, and for online students, participating in discussions.

Mathematics (Faculty of Science)