Lund University

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.

The goal of this course is to introduce the operation of computer systems at the level of Instruction Set Architectures (ISA). It provides a basic understanding of the design principles that govern modern computer architectures and their components. Special attention is paid to (super scalar) pipelining and memory hierarchy techniques including caches. Implementation and efficiency issues are exemplified. Metrical performance analysis methods are discussed to evaluate architectural alternatives. The course introduces the foundations of low-level computer functioning. The main topics include computer systems, low-level programming techniques, the techniques of RISC processors and pipelining, cache memory, and virtual memory. The course also illuminates the alternative design principles of modern computer architectures in order to provide an understanding of their impact on performance. Quantitative methods to evaluate design principles for performance constitute an important subject of the course.

The course introduces the main aspects of industrial design used by designers in their everyday work together with aspects of contemporary design research. Lectures on design management and the design process and environmental concerns are included as well as introduction to modelling techniques. The product is examined from a user centered and sociological perspective. The course contains an industrially related project in which the insights obtained during the course are practiced. In this project the students work in groups of 3-4 students. Guidance is provided and the workshop is open for the students. The students plan when and how they work during the project. Industrial designers active in industry teach and give feedback on the project work. Field trip to design bureau is also included.