Classes
You are required to attend a 3hour lecture each week at Tuesday 10 – 1pm in E4B 208 (FBE Computer Lab)
You are also required to attend an 1hour tutorial each week at Tuesday 4  5pm in E4B 214 (FBE Computer Lab).
Prescribed texts
There is no prescribed textbook for this unit. Students should obtain lecture overheads from iLearn prior to the lecture. The following are recommended reading books for this unit

Wendy L. Martinez, Angel R. Martinez, "Computational Statistics Handbook with MATLAB", Third Edition (2015 by Chapman and Hall/CRC).

Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani, "An Introduction to Statistical Learning with Applications in R", (2013 by Springer).

Robert I. Jennrich, "An Introduction to Computational Statistics – regression analysis", (QA278.2.J46 1995).

J.H. Maindonald, "Statistical Computation", (QA276.4.M25)

James E. Gentle, "Elements of Computational Statistics", (QA276.4.G455)

Kleijnen, Jack. Simulation: a statistical perspective. (QA76.9.C65.K5913)

Draper and Smith. Applied Regression Analysis. 2nd edition. (QA278.2.D7)
Computing packages used
We primarily use the software package MATLAB in this Unit. MATLAB is becoming increasingly important for training students in scientific computations. More information about MATLAB can be found at the web site "https://au.mathworks.com/products/matlabonline.html" and students are entitled to one year free license.
We use Winbugs when teaching Bayesian methods.
Unit webpage
Unit webpage is located on Moodle at https://ilearn.mq.edu.au. You can access the material on Moodle only if you are enrolled in the unit. All lecturing materials are available at this webpage.
Teaching and Learning Strategy
The unit is taught in traditional mode:
 Students are required to attend weekly lectures and tutorial classes.
 Students are expected to have read through the material, provided on iLearn, to be covered in each week.
 Submit assignments. ·
 Contact the unit convenor in advance if for any reason, you cannot hand in your assessment tasks on time.
 Collect their marked assessment from the lecturer during the lecture
Examination
If you notify the University of your disruption to studies for your final examination, you must make
yourself available for the supplementary examination. If you are not available at that time, there
is no guarantee an additional examination time will be offered.
Software
We are using MATLAB (or R) and WinBUGS in teaching this unit. R and WinBUGS are free
software and are widely used nowadays by statisticians. More information about R can be found
at http://www.rproject.org/, and WinBUGS at “http://www.mrcbsu.cam.ac.uk/bugs/”.