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BIDS UTVC21 Lectures and seminars 2017 (Updated 2017-08-08) Date Time Room Theme Activity Group Lecturer 30/8 10-12 Världen Meet Your Programme Coordinator Lec 1/1 AF 30/8 13-15 Världen Course Introduction Lec 1/1 TAX 1/9 10-12 Världen Introduction: questioning development Potter Ch. 1; Allen et al Ch. 1-2 Lec 1/1 YM 1/9 13-15 Världen Introduction: history and development Allen Ch. 1; Allen et al

https://www.keg.lu.se/sites/keg.lu.se/files/utvc21_schedule_autumn2017_updated_2018-08-08.pdf - 2025-12-17

BIDS UTVC21 Lectures and seminars 2017 (Updated 2016-04-06) Date Time Room Theme Activity Group Lecturer 30/8 10-12 Världen Meet Your Programme Coordinator Lec 1/1 AF 30/8 13-15 Världen Registration and Introduction Lec 1/1 TAX 1/9 10-12 Världen Introduction: questioning development Potter Ch. 1; Allen et al Ch. 1-2 Lec 1/1 YM 1/9 13-15 Världen Introduction: history and development Allen Ch. 1; Al

https://www.keg.lu.se/sites/keg.lu.se/files/utvc21_ht_2017_schedule_2017-05-04tb.pdf - 2025-12-17

BIDS UTVC21 Lectures and seminars 2017 (Updated 2017-09-13) Date Time Room Theme Activity Group Lecturer 30/8 10-12 Världen Meet Your Programme Coordinator Lec 1/1 AF 30/8 13-15 Världen Course Introduction Lec 1/1 TAX 1/9 10-12 Världen Introduction: questioning development Potter Ch. 1; Allen et al Ch. 1-2 Lec 1/1 YM 1/9 13-15 Världen Introduction: history and development Allen Ch. 1; Allen et al

https://www.keg.lu.se/sites/keg.lu.se/files/utvc21_ht_2017_schedule_2017-09-13.pdf - 2025-12-17

Grundläggande datahantering och vanliga visualiseringsmetoder för data. Metoder för oövervakad och övervakad inlärning så som: klustring; hierarkisk klustring; samt regressions- och beslutsträdsmetoder för klassificering och regressionsproblem. Metoder för modellval och modellvalidering så som: bootstrap, uppdelning av data i träning och test, samt korsvalidering.Basic methods for data handling and common visualisation methods for data. Methods for unsupervised and supervised learning such as: clustering; hierarchical clustering; and regression and decision tree methods for classification and regression problems. Methods for model selection and validation such as: bootstrap, split of data into training and test, and cross-validation.

Kursen behandlar: Modeller inom fluiddynamik Hyperboliska konserveringslagar och deras grundegenskaper (lösning i svagmening, svag entropilösning, chocklösningar), Diskontinuerliga Galerkindiskretiseringar Simulering av gasdynamik Krylov-underrummetoder med förkonditionering Jacobianfria Newton-Krylovmetoder Multigridmetoder för flödesproblem The course covers: Models of computational fluid dynamics Hyperbolic conservation laws and their basic properties (weak solutions, weak entropy solutions, shocks) Discontinuous Galerkin discretizations Simulations of gas dynamics Krylov subspace methods with preconditioning Jacobian-free Newton-Krylov methods Multigrid methods for flow problems

BIDS UTVC21 Lectures and seminars 2017 (Updated 2017-09-29) Date Time Room Theme Activity Group Lecturer 30/8 10-12 Världen Meet Your Programme Coordinator Lec 1/1 AF 30/8 13-15 Världen Course Introduction Lec 1/1 TAX 1/9 10-12 Världen Introduction: questioning development Potter Ch. 1; Allen et al Ch. 1-2 Lec 1/1 YM 1/9 13-15 Världen Introduction: history and development Allen Ch. 1; Allen et al

https://www.keg.lu.se/sites/keg.lu.se/files/utvc21_ht_2017_schedule_2017-09-29.pdf - 2025-12-17

This course aims to train, develop and mentally prepare the students to take active participation as leaders as well as co-workers in various organizations. This will entail the idea that organizations can be managed and studied through different perspectives which offer possibilities for reflection and different understandings of organizational phenomena. Above all, the course seeks to develop aThis course aims to train, develop and mentally prepare the students to take active participation as leaders as well as co-workers in various organizations. This will entail the idea that organizations can be managed and studied through different perspectives which offer possibilities for reflection and different understandings of organizational phenomena.   Above all, the course seeks to de

The course explores and explains the historical processes of rapid industrialisation and socio-economic modernisation in Pacific Asia. First, fundamental factors and forces behind the rise of Asia’s first industrial nation, Japan, are analysed. Japan is also contrasted against the early failures of modernisation in Imperial China. Secondly, explanations are provided for the emergence of Taiwan,

I denna kurs kommer du att utforska teoretiska och praktiska koncept avseende hållbar turism samt hur planering kan utföras i ett GIS. Du lär dig också praktiska och teoretiska övningar i hur ett känsligt naturområde kan kategoriseras i känslighet för turism, samt hur GIS kan användas för fältmätningar av turistpåverkan, samt för analys och visualisering. Dessutom undersöker vi hur ett förenklat bIn this course you will explore theoretical and practical concepts of sustainable tourism planning and how tourism can be planned using a GIS. Furthermore a simplified Tourism Decision Support System (TDSS) will be explored and how such a system can be linked to a GIS. This course includes practical and theoretical exercises regarding categorisation of sensitivity for land exposed to tourism and h

Kursen läses under hela höstterminen vid Lunds universitet och vid Institutionen för matematisk modellering vid Danmarks tekniska universitet i Lyngby. Kursens innehåll: Olika alternativa icke-linjära modeller för tidsserier, parametriska och icke-parametriska (kärnestimatorer) metoder för bestämning av systemets olinjäriteter. Tillståndsrepresentation och filtrering för icke-linjära system, stoThe course is given during the autumn semester at Lunds university and at the Technical University of Denmark in Lyngby. The graduate course in Advanced Time Series Analysis has its target audience amongst students with technical or natural science background and with adequate basic knowledge in mathematical statistics. The primary goal to give a thorough knowledge on modeling dynamic systems. A

The programme is organised into three different tracks. When applying for the programme, you also select which track you are specialising in. The different tracks share courses to some extent. The process of economic development essentially rests on the interaction of its three pillars: income per capita growth, distribution of the fruits of growth and structural change. The Economic Develop

Grunderna för maskininlärning samt de matematiska och beräkningsmässiga förkunskaperna för deep learning. Feed-forward artificiella neuronnät, convolutional artificiella neuronnät och de återkommande kopplingarna till feed-forward artificiella neuronnät. En kort historik över artificiell intelligens och artificiella neuronnät, samt genomgång av intressanta olösta forskningsproblem inom deep The fundamentals of machine learning, and the mathematical and computational prerequisites for deep learning Feed-forward neural networks, convolutional neural networks, and the recurrent connections to a feed-forward neural network A brief history of artificial intelligence and neural networks, and reviews interesting open research problems in deep learning and connectionism. The course

Som förberedelse för magisteruppsatsen kommer denna kurs att utveckla din förmåga att definiera och planera uppsatsarbetet. Du kommer också att träna i att bedöma och kritiskt utvärdera vetenskapligt arbete som produceras av andra. En viss mängd grundläggande vetenskaplig teoriutveckling kommer också att behandlas under kursen. Olika verktyg, eftersom sökning och kommunikationsteknik på Internet oIn preparation for the Masters thesis this course will develop your ability to define and plan the theses work. You will also train in assessing and critically evaluate scientific work produced by others. A certain amount of basic scientific theory development will also be treated during the course. Different tools, as Internet search and communication techniques are also a concern of this course.