Lecture slides will be published progressively here during the semester.
Practical work for this unit will be done during workshops, and workshop sheets will be published progressively here during the semester.
For students who are familiar with using Python: you may also want to look through the following slides from Felix Steffenhagen (Uni. of Freiburg) on “NumPy, SciPy, Matplotlib” (PDF). The slides are on the website for the University of Michigan’s Statistics 607 course. The lecture slides on interpolation and curve fitting from CITS2401 may also be useful (PDF) (PowerPoint).
Any book on statistics should have a section on regression analysis, but one book specifically dedicated to it is: S. Chatterjee and A.S. Hadi, Regression Analysis by Example (5th edn, 2015). Hard copies and an online version of this are available from the UWA Library.
See the Assessment page.
Textbook: There is no one book which covers the full scope of this course. Students will be expected to seek out appropriate texts and research papers. However, the Software Engineering texts by Pressman or Sommerville are particularly useful. Although current editions of these books are expensive (over $300 for hardcover texts), any recent edition (i.e., one of the last 2–3 editions) is acceptable, and these can be got second-hand for under $50 (not including shipping) from Amazon or Abebooks.
Other useful resources which will be referred to from time to time are detailed below.
On Maturity Models:
Additional suggestions for this reading list are welcome. Post your suggestions to help5502.