Course Title: Mathematics for Surveying and Geomatics B

Part A: Course Overview

Course Title: Mathematics for Surveying and Geomatics B

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


145H Mathematical & Geospatial Sciences


Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016


City Campus


171H School of Science


Sem 1 2017,
Sem 1 2018,
Sem 1 2019

Course Coordinator: Dr Andrew Stacey

Course Coordinator Phone: +61 3 9925 2280

Course Coordinator Email:

Course Coordinator Location: City Campus, Building 8, Level 9, Room 24

Pre-requisite Courses and Assumed Knowledge and Capabilities

You are expected to have capabilities consistent with the successful completion of MATH2163 Mathematics for Surveying & Geomatics A or its equivalent.

Course Description

In this course you will extend your knowledge, skills and their application gained in MATH2163 Mathematics for Surveying & Geomatics A. You are introduced to an increased number of mathematical techniques required by surveyors and geomaticians. The aim is to foster your technical competence in these areas of mathematics. This course also lays the foundation for advanced studies in subsequent mathematics, surveying and geomatics courses.  

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes

  • theoretical knowledge: you will develop your knowledge of differential and integral calculus, elementary functions, vectors, matrices, series and differential equations.
  • technical ability: with its emphasis on problem solving, this course will prepare you to be able to analyse the physical world in a systematic manner.
  • critical analysis and problem solving: you will be afforded opportunities to mathematically formulate and solve problems creatively, especially those in which a description of the problem is given in words only.
  • communication: your capabilities will be improved through regular feedback on your written work. 

On successful completion of this course you will be able to:

  1. Apply matrix algebra techniques to evaluate determinants and to solve systems of equations.
  2. Determine the anti-derivative of common functions using standard techniques.
  3. Calculate the partial derivatives of functions of several variables to determine their critical features.
  4. Use differential equations to model and solve a range of physical problems.
  5. Generate power series representations of common functions and determine their radius of convergence. 

Overview of Learning Activities

All learning activities are student-centred, designed to interest and motivate you to be actively involved in your study.  Our lectures are example-driven and application-based. More specifically your learning activities consist of:


  • Your attendance at lectures where syllabus material will be presented and explained and the subject will be illustrated with demonstrations and examples.
  • Completion of supervised problem-based, weekly practice classes designed to build your capacity to solve problems, think critically and analytically, and obtain further practice in the application of theory and procedures. Most of these classes are open-book and you are encouraged to work collaboratively with your peers and  seek help from the class tutors before submitting your individual solutions.
  • Your involvement in WebLearn tests to reinforce and develop your basic algebra skills, assist your comprehension of the presented material and engage with on-line self-help tutorials and WebLearn quizzes.

Overview of Learning Resources

This course will be supported online through myRMIT which will give you access to important announcements, a discussion forum, staff contact details, the teaching schedule, online notes, assessment timelines, WebLearn tests and quizzes, review exercises and past exam papers. We encourage you to read your student e-mail and visit myRMIT frequently where important announcements regarding your course and course-related documents will be posted.

A library subject guide is available at:

Overview of Assessment

☒This course has no hurdle requirements.


Assessment Tasks:


Early Assessment Task:Weekly in-class tests (Weeks 2 to 11 inclusive).

Weighting 30%

This assessment task supports CLOs  1, 2, 3, 4 & 5

Assessment Task 2:   Weekly Weblearn tests (Weeks 2 to 11 inclusive).

Weighting 20%

This assessment task supports CLOs  1, 2, 3, 4 & 5


Assessment Task 3:Final Exam

Weighting 50% 

This assessment supports CLOs  1, 2, 3, 4 & 5