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DIP1010 Academic and Professional Numerical Literacy A

Semester 2, 2022 Online
Units : 1
Faculty or Section : USQ College
School or Department : USQ College
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Examiner:

Overview

Students entering this course will need to develop their academic vocabulary, numeracy skills and quantitative literacy in order to meet the needs of their future discipline. This course will effectively prepare students from non-English speaking backgrounds with the requisite mathematical skills needed to succeed in their 精东传媒app studies while undertaking a specialisation from Business/Commerce, Indigenous Community Development, Creative Arts or Social Science. Students will understand and interpret quantitative information, and reason with numerical data to enable them to pursue their specialisation courses and continue on with their tertiary degree programs. Students will apply their communication skills and think critically to engage with learning activities and assessment tasks as they develop their competency with, and comprehension of, quantitative language throughout the course.

The course will be comprised of a sequence of modules designed to develop mathematical competency required for success in their professional specialisation courses. Students will have the opportunity to practice reading, writing, speaking, listening, numeracy and reasoning skills prior to assessment.

Course learning outcomes

On successful completion of this course students should be able to:

  1. Clearly explain mathematics which are essential to their future tertiary study
  2. Solve non-routine problems using structured and logical quantitative arguments
  3. Interpret and then communicate with numerical data accurately and appropriately

Topics

Description Weighting(%)
1. Managing Mathematics: 5.00
2. Working with numbers 15.00
3. Foundational statistics 20.00
4. Further maths skills 20.00
5. Mathematical relationships 20.00
6. Dealing with data 20.00

Text and materials required to be purchased or accessed

There are no texts or materials required for this course.

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.

Assessment details

Description Weighting (%)
Assignment 1 5
Assignment 2 10
Assignment 3 15
Assignment 4 10
Assignment 5 5
Final Exam 55
Date printed 10 February 2023