English

This course examines the fundamentals, basic properties and use of classical and modern nonparametric statistical methods for data analysis. Topics may include: order statistics; goodness-of-fit tests; rank tests for single-sample and two-independent samples; tests for designed experiments; permutation tests; tests for trends and association; jackknife and bootstrapping methods; nonparametric regression; nonparametric estimator and statistical functionals.

This course helps students refine their ability to understand and interpret research from across the discipline of geography and develop their capstone project. It assists students in developing evidence-based opinions about research and assists them in identifying how they can help to push forward research frontiers through their own research activities. Following introductory lectures on the research process the course involves reading research papers and identifying questions about them; participating in seminars given by geography researchers presenting a research project they have been involved with that relates to the papers they read; discussions about opportunities and challenges when conducting geographical research; and reflections on what they have learnt about the research process through the course. Students also practice their own writing skills.

What is sexual and gender diversity? How does the experience of our own genderedness and sexuality define members of sexual and gender minorities as people, and shape our opinions about those people who do not share our experiences or who do not express their sexuality in the same ways as we do? This course looks at these sorts of questions and does so while teaching about (and in many cases meeting and talking with) people whose gender or sexuality places them on the fringes of mainstream society. People who are gay, lesbian, bisexual or asexual; transgender people and individuals who cross dress, or play with bondage, domination, use pornography, and/or are involved in commercial sex activities. In lectures and tutorials we will examine questions such as: To what extent are sexual and gender diversity biologically ‘hard-wired’ rather than learned? What is ‘normal’ in human sexuality and gender? How, in an increasingly interconnected world, are our ideas about sexual and gender diversity changing? What are the intersectionality that we can discover in the whole course of learning and how do we use these learnings to help make a better world? 

This course examines to the computational modelling of natural language, including algorithms, formalisms, and applications. It covers computational morphology, language modelling, syntactic parsing, lexical and compositional semantics, discourse analysis, automatic summarization, machine translation, speech processing, and machine learning. 

An overview is given of a general communication link consisting of the three parts: transmitter, communication channel, and receiver. Examples of digital communication methods are introduced for realistic bit rates and noise levels. Some of the following applications are considered in the course: Mobile digital telephony (3G, EDGE, GSM), WLAN, modem, ADSL, digital TV, Bluetooth, navigation (GPS), surveillance systems.

This course develops knowledge of equality and diversity with a special focus on intersectionality. The course contains central theories and perspectives on diversity and equality. The course addresses how equality and diversity work is organized, developed, and run in different types of service organizations. These efforts reflect issues around individual situations and needs, which makes it doubly important to be able to understand and think critically about gender, ethnicity, sexuality, age, and functional impairment. The course gives space for both the critical analysis of organizational equality and diversity issues, as well as the application of theoretical tools to understand these.

Students study the application of statistical and computational methods to decision-making problems in management. Linear programming models for resource allocation; sensitivity analysis and duality; multiple management objectives using goal programming; network flow models for transportation, job-scheduling and inventory management; integer linear programming; network-representations; resource-levelling and time-cost tradeoffs, stochastic optimization. 

This course examines signals and systems for modelling and analyzes a variety of engineering systems. It covers continuous‐ and discrete‐time Fourier analysis, Laplace Transform, interactions between signals and linear time invariant (LTI) systems, sampling theorem, differential and difference equations as LTI systems, and application examples in communications, control, and multimedia. 

This course introduces the basic theories of geophysics, such as the shape of the Earth, the Earth's gravitational field, the Earth's magnetic field, plate tectonic geodynamics, propagation of seismic waves, and the process of earthquake epicenters. Physical phenomena and conditions occurring inside the Earth from the surface to the center of the Earth are analyzed using physical methods and interpretations such as gravity, wave propagation, electricity and magnetism, and heat transfer.