NEW COURSE! Course name: SOCB33, Sociology: The Sociology of Human Development (Swedish name: Sociologi: Global utvecklingssociologi). First Cycle Theme-course. 15 credits. Autumn semester. Language of instruction: English. Offered as a stand-alone course and an elective course within the Bachelor of Science Programme in Development Studies (SGUTV). This course offers a sociological view of econo

NEW COURSE! Course name: SOCB34, Sociology: Managing Sustainability, Society and Collective Behaviour (Swedish name: Sociologi: Miljösociologi, hållbar utveckling och miljöpolitik). First Cycle Theme-course. 15 credits. Autumn semester. Language of instruction: English. Offered as a stand-alone course and an elective course within the Bachelor of Science Programme in Development Studies (SGUTV).

Information på svenska längre ner på sidan Course name: SOCM05, Sociology: Master's (Two years) Thesis. (Swedish name: Sociologi: Examensarbete för masterexamen). Advanced level/Master Course (Second Cycle). 30 credits. Autumn and spring semester.  This course can be included in a Master of Science (120 credits) degree specialising in sociology. To be eligible for a master course you must hav

Course name: SOCN04, Sociology: Modern classics. Advanced level Master Course (Second Cycle). 15 credits. Spring semester. Language of instruction: English. To be eligible for a master course you must have passed the bachelor/undergraduate level. This course is offered as a stand-alone course and is also compulsory within the Master´s Programme in Sociology SASCO. The aim of the course is to provi

NEW COURSE! Course name: SOCN08, Sociology: Knowledge and Social Change (Swedish name: Kunskap och social förändring). Advanced level master course (Second Cycle). 7.5 credits. Autumn semester. Language of instruction: English. This course is offered as a stand-alone course and is also compulsory within the Master's Programme in Sociology SASCO. This course explores the nature of kn

NEW COURSE! Course name: SOCN09, Sociology: Emerging Inequalities (Swedish name: Nya ojämlikheter). Advanced level master course (Second Cycle). 7.5 credits. Autumn semester. Language of instruction: English.   This course is offered as a stand-alone course and is also compulsory in the Master´s Programme in Sociology SASCO.   Are you fascinated by the changing patterns of ineq

NEW COURSE! Course name: SOCN10, Sociology: Sociological Perspectives on Sustainability Transitions (Swedish name: Sociologiska perspektiv på hållbarhetsomställningar). Advanced level master course (Second Cycle). 7.5 credits. Autumn semester. Language of instruction: English. This course is offered as a stand-alone course and is also compulsory within the Master´s Programme in Sociology SASCO. Ho

NEW COURSE! Course name: SOCN23, Sociology: Digital Social Life (Swedish name: Det digitala sociala livet). Advanced level master course (Second Cycle). 7.5 credits. Autumn semester. Language of instruction: English. This course is offered as a stand-alone course and is also compulsory within the Master´s Programme in Sociology SASCO.   Have you ever thought about how the way we interact

A Master’s thesis is a scientific research project of limited scale that is intended to exhibit the student’s capacity to work independently and carry out research. The intension of the thesis is to make a genuine contribution of new knowledge, written in the genre of scientific research. The course involves students independently designing and completing a research project within the discipline oA Master’s thesis is a scientific research project of limited scale that is intended to exhibit the student’s capacity to work independently and carry out research. The intension of the thesis is to make a genuine contribution of new knowledge, written in the genre of scientific research. The course involves students independently designing and completing a research project within the discipline o

A Master’s thesis is a scientific research project of limited scale that is intended to exhibit the student’s capacity to work independently and carry out research. The intension of the thesis is to make a genuine contribution of new knowledge, written in the genre of scientific research. The course involves students independently designing and completing a research project within the discipline oA Master’s thesis is a scientific research project of limited scale that is intended to exhibit the student’s capacity to work independently and carry out research. The intension of the thesis is to make a genuine contribution of new knowledge, written in the genre of scientific research. The course involves students independently designing and completing a research project within the discipline o

The aim of this course is to provide students with an in-depth knowledge of sociology of law while explaining how various theoretical traditions can be employed in analyzing concrete social issues which we confront today. The course will start with a presentation of the foundations of the sociology of law, discussing the relationship between different forms of regulation. The second part of the coThe aim of this course is to provide students with an in-depth knowledge of sociology of law while explaining how various theoretical traditions can be employed in analyzing concrete social issues which we confront today. The course will start with a presentation of the foundations of the sociology of law, discussing the relationship between different forms of regulation. The second part of the co

Delkurs 1: "The Multidisciplinarity of Sociology of Law" Du lär dig om den rättssociologins tvärvetenskapliga forskningstradition. Föreläsningarna behandlar rättssociologins rika tradition, dess begrepp och perspektiv samt hur närliggande discipliner samverkar och omorienterar dessa i rättssociologiska studier. Vi betonar förmågan att kritiskt kunna jämföra olika teorier och disciplinära inriktninModule 1: The Multidisciplinarity of Sociology of Law You learn about the multidisciplinary research tradition within the sociology of law. The lectures cover the rich tradition of sociology of law, its concepts and perspectives, and how related disciplines interrelate and reorient these in the study of sociology of law. We emphasise the ability to critically compare the various theories and disci

Kursen behandlar bayesianska metoder, introducerar programvara som understödjer analysen och presenterar tillämpningar inom olika områden. Den inleds med en genomgång av betingade sannolikheter och Bayes sats. Begreppen subjektiv sannolikhet och likelihoodfunktion introduceras därefter. Den statistiska inferensen baseras på slumpmässiga stickprov och konjugerade a priori-fördelningar, inklusive a This course on Bayesian statistics covers methodology, major programming tools and applications in this field. The course starts with a review of conditional probability and Bayes’ Theorem. Introduction to the Bayesian approach will follow that includes discussing: subjective probability and likelihood function. Inference for populations is presented using random samples and conjugate priors, incl

Affärsanalys (”business analytics”) syftar på vår förmåga att samla in och använda data för att generera insikter om faktabaserat beslutsfattande. Kursen är avsedd för dig med grundläggande kunskaper i statistik, och innehållet i kursen kommer att vara av praktisk natur. Det omfattar metoder för data mining och affärsanalys och deras användning för att göra strategiska affärsbeslut. Kursen behandlAnalytics refers to our ability to collect and use data to generate insights for fact-based decision-making. The course is designed for students with a basic knowledge of statistics, and the content of the course will be of practical nature. It covers methods for data mining and business analytics and their usage in making strategic business decisions. It will concentrate on the modeling aspects o

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 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