Course Title: Mathematics and Statistics

Part A: Course Overview

Course Title: Mathematics and Statistics

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH2123

City Campus

Undergraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

 Sem 1 2006,
Sem 2 2006,
Sem 1 2007,
Sem 2 2007,
Sem 1 2008,
Sem 2 2008,
Sem 1 2009,
Sem 2 2009,
Sem 1 2010,
Sem 2 2010,
Sem 1 2011,
Sem 2 2011,
Sem 1 2012,
Sem 2 2012,
Sem 1 2013,
Sem 2 2013,
Sem 1 2014,
Sem 2 2014,
Sem 1 2015,
Sem 2 2015,
Sem 1 2016,
Sem 2 2016

MATH2123

City Campus

Undergraduate

171H School of Science

Face-to-Face

 Sem 1 2017,
Sem 2 2017,
Sem 1 2018,
Sem 2 2018,
Sem 1 2019,
Sem 2 2019,
Sem 1 2020,
Sem 2 2020,
Sem 2 2021,
Sem 1 2022,
Sem 2 2022

MATH2123

City Campus

Undergraduate

171H School of Science

Internet

 Sem 1 2021

Course Coordinator: Assoc. Prof. Melih Ozlen

Course Coordinator Phone: +61 3 9925 3007

Course Coordinator Email: melih.ozlen@rmit.edu.au

Course Coordinator Availability: By appointment, by email


Pre-requisite Courses and Assumed Knowledge and Capabilities

 

Assumed Knowledge

VCE Further Mathematics (or equivalent)


Course Description

MATH 2123 - Mathematics and Statistics will introduce you to a number of mathematical and statistical procedures often used in science. The course aims to provide the theoretical foundations that any scientist will require to meet community and regulatory requirements. The learning of statistics will integrate theory and applications using a problem-based approach aided by the use of the Minitab statistical package. The course will focus on developing your abilities in critical analysis, decision making and reflection. 


Objectives/Learning Outcomes/Capability Development

This course does not contribute to any Program Learning Outcomes (PLOs) for any program.


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

  1. Perform appropriate graphical displays of data and understand the role of such displays in data analysis;
  2. Calculate probabilities of binomial and normal distributions;
  3. Construct point and interval estimation for a mean and a proportion;
  4. Conduct hypothesis tests for a mean and a proportion, and compare two-sample means and proportions;
  5. Carry out linear regression, analysis of variance and categorical data analysis;
  6. Use a statistical package to carry out descriptive and simple inferential statistical analyses.


Overview of Learning Activities

 

You will be actively engaged in a range of learning activities such as lectorials, tutorials, practicals, laboratories, seminars, project work, class discussion, individual and group activities. Delivery may be face to face, online or a mix of both. 

You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course


Overview of Learning Resources

 

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course. 

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.


Overview of Assessment

Assessment Tasks

Assessment Task 1: Descriptive Statistics, Probability and Distributions
Weighting 34%
This assessment task supports CLOs 1, 2 & 6.

Assessment Task 2: Interval Estimation, Hypothesis Testing
Weighting 34%
This assessment task supports CLOs 3, 4 & 6.

Assessment Task 3: Analysis of Variance
Weighting 8%
This assessment task supports CLOs 5 & 6.

Assessment Task 4: Linear Regression and Categorical Data Analysis
Weighting 24%
This assessment task supports CLOs 5 & 6.

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.