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CS1: Higher Computing - Richard Buckland UNSW

This is the introductory course for computer science at UNSW.
This course consists of three strands: programming, systems, and general computer-science literacy.
The programming strand is further divided into two parts. For the first half of the course we cover small scale programming, in the second half we look at how to effectively use teams to produce more substantial software.
In the systems strand we will look at how computers work. Concentrating on microprocessors, memory, and machine code.
In the literacy strand we will look at topics drawn from: computing history, algorithms, WWW programming, ethics and law, cryptography and security, and other topics of general interest.
The strands will be covered in an intermingled fashion.

The following course, "CS2: Data Structures and Algorithms", will be recorded and posted in semester 2 of 2009.

A first course in Linear Algebra - N J Wildberger

This course on Linear Algebra is meant for first year undergraduates or college students. It presents the subject in a visual geometric way, with special orientation to applications and understanding of key concepts.

The subject naturally sits inside affine geometry, which is the natural setting for vectors. Flexibility in choosing coordinate frameworks is important for understanding the subject. Determinants also play a key role, and these are introduced in the context of multi-vectors in the sense of Grassmann.

The course features a careful treatment of polynomial spaces, with applications to Stirling numbers and cubic splines.

NJ Wildberger is also the developer of Rational Trigonometry: a new and better way of learning and using trigonometry---see his WildTrig YouTube series under user `njwildberger'. There you can also find his series on Algebraic Topology, History of Mathematics and Universal Hyperbolic Geometry.

ELEC3104 Digital Signal Processing by Prof. E. Ambikairajah

Signal Processing is the process of measuring, manipulating or analysing information. Signals of interest include biomedical data, audio, still or moving images, radar, and even DNA. Filtering techniques can be crucial in revealing and interpreting information present in a signal. ELEC3104 Digital Signal Processing is an introductory signal processing course which takes students through the steps necessary to design and implement filters for a range of signals.

University Algebra. Dr Chris Tisdell, UNSW Sydney

Short videos on how to solve problems from university algebra, semester 1, year 1.
The material is loosely based on a first-year mathematics subject at UNSW, Sydney known as Mathematics 1A, MATH11311.

CS2: Data Structures and Algorithms - Richard Buckland

These are the 2009 lectures of COMP1927 Algorithms and Data Structures, aka Computing2 the second computing course taken by first year computing students at UNSW. This course follows immediately on from COMP1917 (also available on YouTube).

These lectures were recorded August-November 2009 and are gradually being uploaded to youtube. Currently the lectures 1-39 of 50 have been uploaded in draft form.

A selection of the course material is available at www.openlearning.net All of the course material will eventually be available (once all the videos are posted)

This course is followed by COMP2911 which looks at Design in computing, including OO design and algorithm design. In the first half of 2010 Richard's lectures for this course were also be recorded and will be posted next.