English

This course provides students with a solid grounding in various aspects of software engineering process related to building large software systems. The course covers various aspects related to building software systems ranging from the use of software lifecycle models, to project management, to large-scale software architectures. Specifically, software lifecycle models, including variations of the waterfall and spiral models as well as extreme programming and agile, are introduced along with concepts that are relevant to the specific model stages. These concepts include domain analysis, requirements and specification analysis, testing and debugging, and version control. Moreover, strategies for managing large software projects and their contracts as well as project teams are presented and contrasted.

The objective of this course is for students to learn to appropriately apply discrete event simulation modeling for decision support in Industrial Engineering problems through developing skills in model building, simulation output analysis, and communication of technical information and conclusions drawn from data analysis. Topics include Introduction to Discrete, Event System Simulation, Simulating a Queueing System, General Principles, Discrete Distributions & Continuous Distributions, Poisson Process and Characteristics of Queueing Systems, Long-Run Measures of Performance of Queueing Systems, Steady-State Behavior, Networks of Queues, Techniques for Generating Random Numbers, Tests for Random Numbers: Tests for Autocorrelation, Inverse-Transform & Acceptance-Rejection Techniques, Parameter Estimation, Data Collection & Identifying the Distribution with Data, Multivariate and Time-Series Input Models, and Stochastic Nature of Output Data.

This course examines the social and economic impacts of artificial intelligence (AI), with a focus on ethical considerations, social justice, and both the opportunities and risks associated with AI technologies. Through hands-on, active learning exercises, participants use AI tools to complete practical tasks while developing hybrid critical thinking skills that integrate human judgment with generative AI. The course emphasizes responsible and effective AI use and is assessed through a combination of group projects and individual reflection.

This course addresses the definition of business models and the understanding on how to identify and build existing and innovative business models. The objectives of the course are for students to understand the fundamentals of business models, recognize the strategic importance of business models, identify and differentiate various types of business models, analyze hybrid business models, and examine the relationship between business models and industry lifecycles. 

This course examines theory and research of individual social behavior; social motivation; attitudes; group interaction; socialization; prejudice.

This course introduces one of sociology's sister disciplines, social anthropology, which is also referred to as cultural anthropology or ethnology. This course has a theoretical and an applied dimension. In the theoretical portion it introduces classical and modern examples of anthropological theory ranging from B. Malinoswki and C. Levi-Strauss to C. Geertz and J. Diamond. The applied portion uses a variety of examples and field studies ranging from geographically closer regions such as Northern Ireland, the Basque country, and South Tyrol, to more "exotic" regions and examples.

This course introduces key economic principles such as trade-offs, opportunity cost, supply and demand, and market structures. Students learn how markets function, how government policies influence economic outcomes, and how macroeconomic indicators like national income and trade shape the global economy. Emphasis is placed on applying economic reasoning to real-world issues and thinking critically about the limits of economic models.

This course presents the cellular basis of plant growth and development for undergraduate students in the major of Horticultural Science and Biotechnology. The course provides students with an up-to-date understanding of the plant cell cycle, cell enlargement and cell differentiation processes, which is fundamental for improving plant growth and the production of special plant products. Thorough descriptions on the plant cellular compartments, cell division, dynamic growth and specialization are presented alongside the principles of advanced molecular techniques in genetics and visualization of the plant cell. 

Topics include Molecules and membranes, Nucleus, Protein sorting and transport, Cytoskeleton and cell movement, Plasma membrane, Cell wall, Cell cycle and cytokinesis, Regulation, Stem cells and meristems, Cell differentiation, Cell death.  

This course explores the ambiguous connections between population dynamics and climate change. After a lecture-based acquisition of basic knowledge in the field of demography, the course studies the link between climate change and population dynamics in an interactive way by discussing scientific articles. It discusses which demographic dynamics linked to fertility, mortality, and migration impact environmental changes. Hereby, the course considers questions such as how far climate change can be explained by population growth; whether demographic pressure helps adapting more quickly to climate change; and which regions are the most responsible for climate change, in economic and demographic terms. A particular focus is determining which populations are most vulnerable to climate change and environmental degradation. Based on this fundamental knowledge, it discusses possible actions to dramatically reduce emissions of greenhouse gases and further deterioration of the environment as well as to protect the most exposed and vulnerable populations. It tackles climate-change related education, access to reproductive health care and family planning, gender equality in education and economic participation, investments in public health care services and technical improvements. This allow students to answer questions about what policies should be recommended to alleviate climate change, in the light of population growth and population aging, and which best-practice examples exist that help mitigating the effects of climate change for the most vulnerable.