Lund University

This course examines health, lifestyle, and medicine from cultural analytical and ethnographic perspectives.  The course covers current societal issues relating to illness, diagnosis and well-being in contemporary and historical societies. Students discuss these issues in relation to different cases such as the meeting between doctor and patient, living with chronic disease, controversial biotechnological diagnoses and treatments, and discourses on risk and responsibility. The course is based on current research in ethnology, medical anthropology, and cultural studies, including questions about the body, illness experiences, disability, ethics, and the new health economy. Lectures, seminars, and group exercises cover the theoretical understanding of how aspects of identity, class, gender, ethnicity, and age intervene in medical treatments and lifestyle patterns.

The course provides an introduction to e-health by introducing basic concepts and describe how added value can be created in health care processes by the use of e-health systems. The course also provides knowledge about process analysis and information security in health care as well as an overview of current e-health research.

The objective of the course is to teach the student more advanced mathematical tools an d methods that are useful in physics, and to apply these methods on concrete physical systems. Topics include analytic functions, special functions, Fourier analysis: Laplace transforms, ordinary differential equations, partial differential equations, and Green's functions. 

This is the first elementary level Swedish language course at Lund University. This course studies Swedish language, covering the development of speaking, reading, and writing skills. Reading includes longer texts and exercises in listening comprehension to increase ability to understand the spoken language. Writing of short articles, oral presentations, and group discussions are used to increase communication skills.

The course explores development gaps, the relationships between per capita income and other measures of development, theories of economic growth, and the development process. It focuses on the role of physical, human, and social capital, as well as economic growth in regards to technology and population. The course reviews problems of externalities, coordination failure, and path dependence. Specific attention is paid to the relationships between inequality, poverty, and economic growth. Development strategies and policies related to agriculture, industry, trade and services, and infrastructure are discussed together with the role of the state, market, and other institutions. A specific gender perspective is taken up in the discussion on population issues, human capital, and poverty.

The course introduces theories and techniques of natural language processing and language technology. It covers the whole field, from speech recognition and synthesis to semantics and dialogue. The course focuses on industrial and laboratory applications, such as document retrieval on the Internet, information extraction, conversational agents, and verbal interaction in virtual worlds. Fundamental algorithms are described using Prolog or regular expressions. Topics covered in this course include an overview of language processing (applications, disciplines of linguistics, examples); Corpus and word processing (regular expressions, automata, an introduction to Perl, concordances, tokenization, counting words, collocations); morphology, transducers, and part-of-speech tagging; Prolog to write phrase-structure grammars (constituents, trees, using Prolog to do natural language analysis, DCG rules, variables, getting the syntactic structure, compositional analysis to get the semantic structure); syntactic formalisms (constituency and dependency, chart parsing, statistical parsing, functions, dependency parsing); semantics (formal semantics, lambda-calculus, compositionality such as nouns, verbs, determiners, words and meaning, lexical semantics, case grammars, semantic grammars); discourse and dialogue (rhetoric, anaphora, structure, RST, automata, pairs, speech acts, multimodality); and an overview of speech synthesis and speech recognition.