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Study guidance

Department of Economics The Department's study adviser guides and supports students in different matters regarding their studies in Economics, from introductory course to master studies, such as how to combine courses in Economics and complementary courses, course structure, assessment of previous studies in Economics, credit transfer et cetera. If you experience any problems with your studies suc

https://www.lusem.lu.se/organisation/department-economics/study-economics/study-guidance - 2026-04-13

Borrow and return books at LUSEM library

Page navigation Get a library cardThe lending conditions in briefBorrow at LUSEM LibraryReturn at LUSEM LibraryWhat happens if I return the material too late? Talking booksInterlibrary loan serviceService for distance studentsGet a library cardFor students and staff at Lund UniversityGet your LU card at one of the card offices.Go to Finn and Register a new account.Log in and select student categor

https://www.lusem.lu.se/organisation/lund-university-school-economics-and-management-library/borrow-and-return-books-lusem-library - 2026-04-13

Study guidance in business administration

Welcome to the Academic Advisors at the Department of Business Administration. Phone hours March 23-29: Monday 14-15Tuesday 10-11Thursday 11-12Visiting hours March 23-29:Monday 13-14 drop in Tuesday 13-15 drop inThursday 14-15 drop in via zoom https://lu-se.zoom.us/j/65240886908 Phone hours March 30 - April 5: Monday 14-15Tuesday 10-11 Visiting hours March 30 - April 5:Monday 10-11 drop in Tuesday

https://www.lusem.lu.se/organisation/department-business-administration/study-business-administration/study-guidance-business-administration - 2026-04-13

Services for students at distance courses at LUSEM

Distance loans can only be made by those who are studying a distance course. Library accountTo borrow books from the Libraries at Lund University, you need to register a library account in Finn. If you borrow on site at one of the libraries, you also need a LU card.Register a library account in Finn by logging inLearn more about the LU cardHere you find our common lending conditions (pdf)Search an

https://www.lusem.lu.se/organisation/lund-university-school-economics-and-management-library/borrow-and-return-books-lusem-library/services-students-distance-courses-lusem - 2026-04-13

Make a search request

Are you planning to conduct a systematic review and need help with the literature search? Systematic literature search    Book a meeting with the LUSEM Library research support and we will plan and structure the search together, with follow up meetings if needed. We can offer:Knowledge of the content, structure and thesaurus of various databasesGuidance in the choice of databases, search terms, se

https://www.lusem.lu.se/organisation/lund-university-school-economics-and-management-library/lusem-library-research-support/make-search-request - 2026-04-13

Interlibrary loans

If there are items you are unable to obtain through the usual channels, you may place an interlibrary loan request. Who can place an interlibrary loan request?The Interlibrary loan service is available to all members of faculty and staff, as well as students at LUSEM.How do I place an interlibrary loan request?First, check that you cannot obtain the item via Finn. Then use the request form to orde

https://www.lusem.lu.se/organisation/lund-university-school-economics-and-management-library/borrow-and-return-books-lusem-library/interlibrary-loans - 2026-04-13

Final year Bachelor's students

QUALIFICATIONS PENDING A Bachelor's degree is a basic admission requirement to our Master's programmes. However, if you are in your final year of undergraduate degree studies, we will still accept your application. This is known as an application with "qualifications pending". You must include with your application an official document stating:that you are registered for the last semester of your

https://www.lusem.lu.se/study/application-and-admission/final-year-bachelors-students - 2026-04-13

History of the Department of Statistics

The department that exists today can be traced back, on the one hand, to the statistical program organised starting in 1889 by Pontus Fahlbeck (1850–1923), who was professor of political science and statistics at Lund University, and on the other hand, to the research done by Professor Carl Charlier (1862–1934), an astronomer with a strong interest in statistics. Charlier, although not formally a

https://www.lusem.lu.se/organisation/department-statistics/about-department-statistics/history-department-statistics - 2026-04-13

Spatial and Temporal Data Analysis

In this field, researchers are focused on tackling challenges related to understanding complex problems that involve both spatial and temporal variations. These issues require advanced techniques to model the simultaneous impact of these variations effectively. The data involved in these studies are often extensive, making traditional analytical methods impractical. Instead, researchers need to cr

https://www.lusem.lu.se/organisation/department-statistics/research-department-statistics/spatial-and-temporal-data-analysis - 2026-04-13

High-dimensional and Functional Data Analysis

In the realm of Artificial Intelligence (AI), the group is exploring ways to address a critical question: how can we manage multiple tests effectively using less complex methods like lasso, slope, and neural networks (NN)? Specifically, they are investigating techniques to control the False Discovery Rate (FDR) while utilizing NN. This involves the practical development of algorithms for regulariz

https://www.lusem.lu.se/organisation/department-statistics/research-department-statistics/high-dimensional-and-functional-data-analysis - 2026-04-13

Non-linear and Non-Gaussian Time Series Modeling

The research in this area is concentrated on understanding complex, non-linear stochastic time series, particularly in the context of finance. Researchers focus on statistical methods for these intricate systems and apply them to financial scenarios. Various versions of GARCH-type volatility models are explored to analyze statistical aspects of conditional heteroscedastic models, commonly used in

https://www.lusem.lu.se/organisation/department-statistics/research-department-statistics/non-linear-and-non-gaussian-time-series-modeling - 2026-04-13

Department of Economic History

About the departmentStudy Economic HistoryDoctoral studiesResearch at the departmentContact us Study Economic History Bachelor's and Master's programmes Bachelor's and Master's programmes Our Research Databases Doctoral studies Upcoming events Link to RSS 13 April 2026 08:00 to 18 April 2026 17:00 | Other Sustainability Week with LUSEM 2026 14 April 2026 11:00 to 15:00 | Seminar Lund Population Da

https://www.lusem.lu.se/organisation/department-economic-history - 2026-04-13

Probabilistic Graph Theory

This area represents one of the most active frontiers in modern probability theory, with applications ranging from studying social networks to developing sophisticated algorithms for probabilistic machine learning and neural networks. The research group focuses on investigating interacting particle systems and various random discrete structures and algorithms. Recent developments in this field inc

https://www.lusem.lu.se/organisation/department-statistics/research-department-statistics/probabilistic-graph-theory - 2026-04-13