Lund University

This course focuses on how artificial intelligence (AI) can be used to understand human behavior and how psychological phenomena in people can be found in artificial intelligence. Central areas are the borderland between AI and psychology include AI and ethics; Abstract, biological, and deep neural networks; AI to analyze behavior and brain data; Psychological phenomena in artificial cognition; Natural Language Processing; and Simulating behavior using AI. The course emphasis understanding of how natural cognition can be understood with the help of artificial cognition and how psychological phenomena arise in artificial cognition. Application is made in neural networks, natural language processing, AI-generated images and how AI affects society. The course contains theoretical lectures, laboratory work, and a project work.

The course covers basic principles in developmental biology and molecular genetics with a special emphasis on developmental biology model systems in vertebrates and invertebrates. The most important processes in early embryo development, such as fertilization, cell division, the establishment of position information, polarity and asymmetries, and formation of body axes and gastrulation as preconditions for extremity development, regeneration and formation of the body's most important organs are included. Finally, there is a discussion about the mechanisms behind the self-renewal and differentiation of stem cells and the role of stem cells in the renewal of the body's tissues. The course also includes how developmental biology knowledge can be utilized in the establishment of animal models for studies of human disease mechanisms. 

The course gives an introduction to the subject of Sociology of Law, its history, and its position in the knowledge field between Law and society. The structure, contents, and organization of the Legal System are presented at a general level. The subject Sociology of Law introduces legal questions of relevance to understand the subject Sociology of Law as well as basic scientific theoretical and methodological perspectives. This course provides the history and knowledge field of Sociology of Law and Law and society. The theory of Science, Social theory, structure, contents, and organization of the Legal System are reviewed.

The course covers human psychological development from childhood to old age and methods used in research in development psychology. It describes theoretical perspectives on personality and related fields of application. The course consists of four modules:  Child psychology, where the psychological and biological development during childhood and how this development is affected by genetic factors and different living conditions. Some of the topics addressed are self-regulation, emotional attachment, social understanding, and friendship. Furthermore, the module covers the research methods used to generate knowledge of child development. Youth psychology where the psychological and biological development during adolescence and its relation to the surrounding environment is reviewed. The ability of the teenager to face challenges and stress factors, such as increased demands for independence and personal views are included. Module 3 covers Personality psychology and the individual differences and different personality functions of adult individuals, which are viewed from different theoretical perspectives. The theories are presented together with a critical review of methods, testing, and fields of application. Lastly. the deployments during adulthood and the aging process based on theories of developmental, personality and social psychology are reviewed. Different aspects of aging are addressed, such as stress, mental and physical health, and ill health.

The course covers human psychological development from childhood to old age and methods used in research in development psychology. It describes theoretical perspectives on personality and related fields of application. The course consists of four modules, this is the second module: Personality Psychology. The module covers the individual differences and different personality functions of adult individuals, which are viewed from different theoretical perspectives. The theories are presented together with a critical review of methods, testing, and fields of application.

This course gives an introduction to several subdomains of intelligent autonomous systems and robotics, and an orientation about fundamental methods and algorithms within these domains. Content covered includes three-layer architecture, Perception-Action Cycle, Robotic architectures, world models, Robot Perception, SLAM, reasoning under uncertainty, MAP-Slam, actuation, picking, placing, and reasoning and planning. 

Fermentation technology including microbial kinetics and mass balances, substrates, industrial microorganisms, sterilization, biosafety, and mass transfer are reviewed. Measurement and control. bioreactors, enzyme technology, downstream processing, and practical cultivation technology are included.

Antibiotics were once regarded as miracle drugs. However, they are becoming less effective as bacteria develop resistance against them. The increasing occurrence of micro-organisms that are resistant to multiple antibiotics constitutes a serious threat to human health. The course addresses fundamental questions and problems concerning antibiotics such as what is the role of antibiotics in nature? How are they synthesized? What are their modes of action? How can new antibiotics be discovered? How can we attack problems with antibiotic-resistant microorganisms? The course brings a comprehensive understanding of the biology and chemistry of antibiotics. It provides insight into bacterial physiology and also industrial and clinical aspects of antibiotics and the evolution of antibiotic resistance.

The development of suitable models for describing dynamical systems is a central problem within automatic control, and it is critical for the development of robust and high-performance control laws. When relationships between physical quantities are not fully known, then models and the control laws may instead be generated by measurement data, through system identification, machine learning, or adaptive control. The purpose of the course is to teach the basic principles of how this is done. The first part of the course is devoted to adaptive control and system identification for systems with several input and output signals. The focus is on state-space models and methods for generating these, including grey-box identification. The course describes iterative methods for learning, as well as model reduction for the purpose of reducing the dimension of the state space. The second part of the course is devoted to reinforcement learning. This includes the theory of dynamic programming and various approximate methods thereof. Policy iteration is explained, as well as discrete and continuous path planning. The third part of the course deals with the usage of complete components for the purpose of control, for instance, sensors that have been developed using machine learning.

The course gives an insight into how functional programming often offers a possibility to write shorter and easier-to-understand programs than using the traditional imperative or object-oriented approaches. Course content includes the philosophy of functional languages, the programming language Haskell, language constructs and idioms, higher-order functions, lazy evaluation and infinite data structures, monads and monadic computations polymorphic type systems and type classes, and type analysis and type inference.