|Semester 1, 2022 Toowoomba On-campus|
|Faculty or Section :||Faculty of Health, Engineering and Sciences|
|School or Department :||School of Mathematics, Physics & Computing|
|Student contribution band :||Band 2|
|Grading basis :||Graded|
|Version produced :||27 June 2022|
Examiner: Xiaohui Tao
Pre-requisite: Students must be enrolled in one of the following Programs: MSCN or MCTN
This course exists to satisfy the need for greater flexibility in Masters Programs in Computing, Mathematics and Statistics to cater for the widely varying interests and chosen specialisations of students.
The course provides the opportunity for a student to pursue an area of study that will complement the other studies in the student's program. Typically, the course will consist of specialised investigations extending knowledge and skills in a certain area. The studies could involve, for example, directed readings, extension of a project (where appropriate), or some other approved activity which would complement the student's studies in the program. Enrolment in this course is only available to students in Masters and some other Postgraduate programs and such enrolment requires the permission of the Program Director before enrolling.
Course learning outcomes
On completion of this course students will be able to:
- Demonstrate and apply advanced knowledge and skills in the complementary study area.
No specific topics can be listed as the content of the course may vary from student to student. Assessment for the course will also vary according to the nature of the study undertaken by each student. By the end of the third week of semester, the student and supervisor will provide to the Examiner for approval by the Associate Dean:
Text and materials required to be purchased or accessed
Student workload expectations
To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.
|Weighting (%)||Course learning outcomes|
|Problem Solving 1||No||50||1|
|Problem Solving 2||No||50||1|