Focus on development of system-level architectures and class-level object-oriented designs for software systems. There is a special emphasis on the study of architecture and design patterns.

Covered Basic methods for classification, regression, clustering, time series modeling, and novelty detection. Including the following algorithms: K-nearest neighbours, naive Bayes, decision trees, support vector machines, logistic regression, generalized additive models, K-means, mixtures of Gaussians, hidden markov models, principal components analysis, factor analysis and independent components analysis.

Looks at advanced user interface paradigms that go beyond the status-quo keyboard/mouse/GUI interface for single users on a mid-size display.

Course focuses on the principles of probabilistic reasoning and sequential decision making for a wide range of settings including adaptive and multi-agent systems.

Covers sublinear and approximate algorithms for: distributed file sharing, caching for the web, search engines and information retreival, routing. Also examines the probabilistic properties of the Internet and how it can be measured.

Seminar introducing Tetherless Computing: a style of computing where smart mobile devices, such as cell phones and PDAs opportunistically communicate with centralized server clusters over heterogeneously administered wireless networks

Focus on computational and game-theoretic questions related to electronic markets, applications and will look at what it means to design electronic markets with good properties.

Introduction to classical cryptography including: encryption algorithms, hash functions, and message authentication codes.

Topics covered included graph colouring, counting and asymptotics, eigenvalues of graphs, directed graphs.

Examines social impact of computers including the following topics: privacy, censorship, liability, computer mediated communication, worker displacement and outsourcing.