UC007 - Undergraduate Certificate in Applied Mathematics and Statistics

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Plan: UC007 - Undergraduate Certificate in Applied Mathematics and Statistics
Campus: City Campus

Program delivery and structure

Approach to learning and assessment
Work integrated learning
Program structure

Approach to learning and assessment

You will be provided with online lectures offering a variety of learning and teaching techniques. Tutorials or laboratory sessions will be used to explore theory covered in lectures and related application of mathematics and statistics. You will have the opportunity to interact with teaching staff, fellow students and tutors. The tutorial problems will cover key concepts to assist you in your understanding of theories and applications in mathematics. Computer labs will include the use of a variety of mathematics packages, including Matlab, to give you hands-on experience of technologies.

The teaching and learning methods used in this program aim to implement student-centered learning by recognising that your perceptions of the world are important and relevant and encouraging you to actively participate in your learning and to develop solutions in collaboration with your peers. Learning activities include practical exercises, case study analysis, oral presentations, technical and business reports, and individual and group project work.

Assessment activities vary across the courses offered. Assessment is undertaken throughout the semester in many forms, including written assignments, online quizzes, tutorials, case studies and presentations. The assessment for each course will gauge whether the learning outcomes and capabilities expected from the course have been achieved at the required level.

Course materials (printed course notes, textbooks and reference books) will be available from the RMIT Campus Store; the RMIT Library, which has copies of the books and provides online access to electronic books and journals; course web pages, which contain links that let you download worksheets and assignment specifications. You can also email teaching staff for assistance, and access message forums as well as links to external course-related web sites.

If you are living with disability, long-term illness and/or a mental health condition, we can support you by making adjustments to activities in your program so that you can participate fully in your studies. To receive learning adjustments, you need to register with Equitable Learning Service (https://www.rmit.edu.au/students/support-and-facilities/student-support/equitable-learning-services).

The University considers the wellbeing and safety of all students, staff and the community to be a priority in on-campus learning and professional experience settings.

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Work integrated learning

This program does not include a Work Integrated Learning experience. This program builds foundational knowledge as a pathway to the RMIT Bachelor of Science (Applied Mathematics and Statistics) which contains the Work Integrated Learning courses in year two and year three.

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Program Structure

To graduate you must complete the following: All courses listed may not be available each semester.
 

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Year One of Program

Select and Complete One (1) of the following Courses:

Course Title

Credit Points

Course Code

Campus

Calculus and Analysis 1 12 MATH1142 City Campus
Calculus and Analysis 2 12 MATH1144 City Campus
AND
Select and Complete One (1) of the following Courses:

Course Title

Credit Points

Course Code

Campus

Introduction to Probability and Statistics 12 MATH2200 City Campus
Basic Statistical Methodologies 12 MATH2201 City Campus
AND
Select and Complete One (1) of the following Courses:

Course Title

Credit Points

Course Code

Campus

Discrete Mathematics 12 MATH1150 City Campus
Applied Linear Algebra 12 MATH2311 City Campus
AND
Select and Complete One (1) of the following Courses:

Course Title

Credit Points

Course Code

Campus

Mathematical Computing and Algorithms 12 MATH2109 City Campus
Practice of Analytics 12 MATH2392 City Campus
 

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