English

This course offers a study of the multifaceted aspects of conducting business across borders and within diverse cultural, economic, and geopolitical environments. Topics include: global business environments; international market entry strategies; cross-cultural management; global trade; multinational business strategies; international trade and regulatory compliance.

This course provides the basic tools required for understanding linear systems, and the effect that such systems have on deterministic signals. The course covers linear time-invariant systems in terms of input-output relationships, using both time and frequency domain methods and includes concepts related to signal representation, linear convolution, Fourier analysis, sampling of continuous-time signals, and Laplace transforms.

The course explores key theories that inform film and media studies and the discourses that define these disciplines. It offers an overview of theoretical approaches to moving images and visual cultures, interrogating theories of and through images alongside the politics of visibility, invisibility, and hypervisibility. The course covers topics such as third cinema, media spectacles, and video activism.

This course focuses on political parties and major policy debates in New Zealand. Topics include the ideologies and action principles of major parties, shifts in inequality and the welfare state, state funding of political parties, relations between central and local government, Te Tiriti o Waitangi, and environmental policy.

This course aims to provides a cultural perspective on human development. Specifically, the course emphasizes the usefulness of (cross-)cultural approaches to understanding parenting and psychological functioning, to assess culturally diverse children and families, and to implement culturally sensitive interventions. The course draws from specific examples from the Italian culture, and particularly the Roman one. This means that students are given the opportunity to familiarize themselves with the culture and the characteristics of the city and its peoples. Upon completion of the course, students are expected to be knowledgeable about the role of culture in human development and in socialization processes, as well as to identify the risk and protective factors involved in the adaptation of relocated families.

This course examines how the human body responds to extreme environmental stressors (i.e. high altitude, hyperbaria, extreme heat, extreme cold), and how these conditions alter the capacity of humans to perform physical and mental tasks. Special attention will also be given to the theoretical basis of how these stressors can lead to decrements to human health in the form of injury (e.g. frostibite, heat exhaustion) and illness (e.g. pulmonary/cerebral oedema, actue mountain sickness, 'the bends'). This course will also focus on how this information can be used to develop therapeutic, pharmacological, and/or technological interventions to improve human functioning in extreme environments and reduce the risk of illness and injury. 

This course covers the mathematical fundamentals of probability theory and complex variables which are necessary in the study of integrated circuits, communications, communication networks, control systems, signal processing, energy and new media. There is a strong emphasis on the application of these concepts to electrical and computer engineering problems, such as the Gaussian distribution in communications, random variable distributions for system reliability, complex random variables. This course requires students to take prerequisites.

This course introduces students to the foundations of game creation and provides an overview of different aspects of game development. Students learn C# Programming (industry standard), starting with console application, then GUI games on various platform with graphics, dialog boxes, and user control. The course includes an overview of topics including game architecture, interface design, graphics for games, audio for games, prototyping and play testing. Students implement their creative gaming ideas by using the latest gaming tools. The course requires students to take prerequisites.

This is an intermediate-level course on data science with a focus on machine learning methods and algorithms using Python. First, the course introduces the big picture of machine learning using various examples, while teaching techniques of how to do data visualization for various types of data, a very important subfield of machine learning. The course also addresses decision tree learning; learning linear separators; logistic regression; generalization and overfitting; model selection and regularization; linear regression; ensemble learning; unsupervised learning; neural network models, and principal component analysis. 

The course also covers prediction and classification tasks using artificial neural networks and deep neural network models, and how to inrperet the results of accurate but black-box machine learning algorithms. A thorough treatment of deep learning is covered through an advanced course, Advanced Data Science. 

This course offers a study of corporate law including the legal principles governing corporations and other business entities. Case studies are used to explore fundamental and specialized concepts of this area of law.