På kursen kommer du att få lära dig teorin Grammar of Graphics för hur diagram och visualiseringar är uppbyggda. Du kommer också att få lära dig att själv skapa visualiseringar med hjälp av programmet R och paketet ggplot2. En central del av att skapa visualiseringar handlar om att göra val. Genom dina val kan du göra en visualisering mer eller mindre lätt att tolka och också framhäva olika aspektIn this course, you will learn how to construct graphs and visualisations according to the theory Grammar of Graphics. You will also learn how to create visualisations yourself using the software R and its package ggplot2. A central part of creating visualisations is making choices. Through the choices you make, your visualisation will be more or less intelligible and also highlight different

I den här kursen får du lära dig att programmera från grunden. Du kommer att få lära dig allmänna principer inom programmering som olika datatyper, programflödesstyrning (t.ex. loopar och villkorsatser) samt hur man strukturerar program med funktioner och klasser. Dessutom kommer du att få lära dig programmering som är mer specifikt inriktad på statistik och ofta bygger på att generera slumptal. EThis course teaches you the basics of programming. You’ll learn core concepts such as data types, control flow (like loops and if-statements), and how to organise code using functions and classes. You’ll also explore programming techniques used in statistics. This includes generating random numbers for simulations and working with methods that require large-scale computation. You’ll learn what the

I den här kursen ska du skriva ett särskilt arbete, vilket kan vara ett allmänt utredningsarbete eller ett arbete rörande en specifik problemställning eller forskningsfråga. Med hjälp av dina tidigare kunskap och erfarenhet i ämnet statistik, tränas du i att självständigt behandla ett problemområde.   Utöver att skriva en uppsats kommer du att muntligt presentera arbetet vid ett seminarium,In this course you will write a special assignment, which could consist of a general investigation, a more specific problem, or a research topic. Using your previous skills and knowledge in Statistics, you will be trained in independently investigating a problem. Apart from writing a thesis you will orally present your work during a seminar, attend and participate in discussions during seminars

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

I den här kursen får du lära dig modern statistisk datoranvändning inom data science genom implementeringar i populära programspråk såsom R och Python. Den behandlar följande ämnen: R- och Python-miljöerna: paket och moduler för statistik Arbeta med data frames, arrays och matriser Metoder för slumptalsgenerering Monte Carlo-integration, inferens och variansreducering Bootstrap och återsamplIn this course you will learn modern statistical computing as viewed in data science through implementations in popular computing platforms such as R and Python. It covers the following topics: The R and Python environment: R packages and Python modules for statistics Working with Data Frames, Arrays, and Matrices Methods for Generating Random Variables Monte Carlo Integration, Inference and

Kursen ger en introduktion till statistisk analys av text. Du kommer att studera både metoder som bygger på både klassiska statistiska ansatser (inklusive Bayesianska modeller) och moderna ansatser som djupinlärning (recurrent neural networks). Ämnen som behandlas är bl.a. Olika sätt att representera text så att informationen går att analysera på ett statistiskt vis Tekniker för att klassifiThe course provides an introduction to statistical analysis of text. You will study both methods based on classic statistical approaches (including Bayesian models) and modern approaches such as deep learning (recurrent neural networks). Topics covered include Different ways to represent text to facilitate statistical analysis Techniques for classification fo text Text clustering Techniq

Maskininlärning handlar om statistiska prediktioner som förbättras genom erfarenhet; modellen lär och anpassar sig allt eftersom nya data blir tillgängliga. Exempelvis priset som en matvarubutik kan ta ut av en leverantör för en annons beror på hur bra den är på att hitta de kunder som är benägna att köpa leverantörens produkter. På samma sätt är det pris som Google kan ta ut för en annonslänk dirMachine learning refers to statistical model predictions that that improve through experience; as new data arrive, the model learns and adapts. For instance, the price that the supermarket can charge for advertisements depends critically on its ability to learn from the data which customers that are likely prospects for a particular supplier’s product. Similarly, the price that Google can charge f

I denna kurs får du lära dig maskininlärningsmetoder som är relevanta för tillämpningar inom företags- och nationalekonomi. Kursen utgör en fortsättning på STAN51 Maskininlärning ur ett regressionsperspektiv. Några av delmomenten i kursen är bootstrapmetoder, ensemblemetoder såsom boosting och slumpskogar, metoder för oövervakad inlärning såsom principalkomponentanalys och klustermetoder, samt tiThis course covers advanced machine learning methods that are relevant for applications in business and economics, and is intended as a continuation of STAN51 Machine Learning from a Regression Perspective. Some of the topics covered include bootstrapping, ensemble methods such as boosting and random forests, unsupervised machine learning methods such as principal components analysis and clusteri

Kursen behandlar bland annat matriser och multivariat normalfördelning singulärvärdesuppdelning och dess geometriska tolkning principalkomponentanalys inklusive dess funktionalformulering faktoranalys klusteranalys prediktionssteori inklusive prediktion med högdimensionella prediktorer penalised regression och prediktion glesa matriser linjär diskriminantanalys storskalig infThe course covers matrices and multivariate normal distribution singular value decomposition and its geometric interpretation principal component analysis including its functional formulation factor analysis cluster analysis prediction theory including prediction with high-dimensional predictors penalised regression and prediction sparse matrices linear discriminant analysis

I den här kursen ska du skriva ett examensarbete, vilket kan vara ett arbete rörande en specifik problemställning eller forskningsfråga. Med hjälp av din tidigare kunskap och erfarenhet i ämnet statistik, tränas du i att självständigt behandla ett problemområde.   Utöver att skriva en uppsats kommer du att muntligt presentera arbetet vid ett seminarium, att närvara och deltaga i diskusIn this course you will write a thesis, which could consist of a specific problem or a research topic. Using your previoius skills and knowledge in Statistics, you will be trained in independently investigating a problem. Apart from writing a thesis you will orally present your work during a seminar, attend and participate in discussions during semiars, and act as an opponent during a pre

Den här kursen är tänkt för dig som är yrkesverksam inom marknadsföring och vill lära dig mer om statistiska metoder inom marknadsundersökningar. Den kan också läsas som ett komplement till magisterprogrammet i marknadsföring. Kursen fokuserar därför på praktisk tillämpning av ett antal olika statistiska metoder som är användbara inom marketing science. Undervisningen är även förlagd till sen efteThis course is intended for you, who work with marketing and want to learn more about statistical methods in market research. It may also be taken as a supplement to the master’s programme in marketing. The course focuses on mastering application of a number of statistical methods that are useful for marketing science. Classes are scheduled in the late afternoon once a week to facilitate dayt

Please note that this is only open to students currently studying the BSc programme in Development Studies, majoring in Political Science. The course aims at giving the students the experience of working in a development context. It also serves as a means of gathering material for the forthcoming bachelor’s thesis. The course is divided into three 15-credit tracks, and the student has to choose onPlease note that this is only open to students currently studying the BSc programme in Development Studies, majoring in Political Science. The course aims at giving the students the experience of working in a development context. It also serves as a means of gathering material for the forthcoming bachelor’s thesis. The course is divided into three 15-credit tracks, and the student has to choose on

This course in political science is offered to students in Lund University’s Bachelor Programme in Development Studies (BIDS). The course explores the political dimensions of development policies and processes with an emphasis on the global governance level and the national level. We look into governance structures, institutions and power relations shaping current development thought and practiceThis course in political science is offered to students in Lund University's Bachelor Programme in Development Studies (BIDS). The course explores the political dimensions of development policies and processes with an emphasis on the global governance level and the national level. We look into governance structures, institutions and power relations shaping current development thought and practice

This course is open to students in the BSc in Development Studies programme (BIDS) majoring in Political Science. The course introduces International Political Economy (IPE) with an emphasis on theories, theorists and issues that problematise the politics and political economy of development, North-South relations and ethics. The first part of the course is designed to examine the roots of InternThis course is open to students in the BSc in Development Studies programme (BIDS) majoring in Political Science. The course introduces International Political Economy (IPE) with an emphasis on theories, theorists and issues that problematise the politics and political economy of development, North-South relations and ethics. The first part of the course is designed to examine the roots of Intern

The aim of the course is to examine environmental change as a problem of governance. We scrutinize major governance dimensions - such as actors, institutions and problem structures - at multiple levels and across domains. This includes the interplay of government, market and civil society in efforts to mitigate and adapt to environmental change.  The course critically approaches th

The course is only offered as a single subject course for incoming exchange students. International Relations Theory is a time-honoured approach to the social world. Texts that are clearly recognizable as dealing with international relations date back to the ancient Greeks. Still, most textbooks in the field take a geographically and historically very parochial stance towards its own field. It iThe course is only offered as a single subject course for incoming exchange students. International Relations Theory is a time-honoured approach to the social world. Texts that are clearly recognisable as dealing with international relations date back to the ancient Greeks. Still, most textbooks in the field take a geographically and historically very parochial stance towards its own field. It i

The aim of the course is to give advanced knowledge of comparative policy, particularly concerning the output side of the political system. This includes relationships between political institutions, political decision-making and public policy in democratic states. Some examples of questions that are brought up during the course are: Why is the USA the only wealthy democracy in world that not has

The course will introduce how and why ‘The Political’, institutional politics, and international politics are popularly represented and understood through the medium of cinéma. The course uses the medium of political cinéma to study central dimensions of contemporary politics: ideology, colonialism, environment, political economy, society, gender, conflict, international politics, and the state. F

Please note that this is the compulsory bachelor's thesis course offered to the students of the Bachelor programme in Development Studies majoring in Political Science.Please note that this is the compulsory bachelor's thesis course offered to the students of the Bachelor programme in Development Studies majoring in Political Science.

Compulsory masters's thesis course for the students in the master´s programme MSc (Two Year) in European Affairs.Compulsory masters's thesis course for the students in the master´s programme MSc (Two Year) in European Affairs.