English

The Irish landscape as we know today is governed by what has happened in the past. Both climate change and anthropogenic factors have played significant roles in shaping the development of the landscape. The objective of this course is to introduce the student to paleoenvironmental methods, in particular pollen analysis, as a means of interpreting the past 15,000 years of vegetation and environmental change in Ireland.

This course introduces epidemiological principles and methods, including basic tools for measuring illness and risk factors in the population, interpreting and assessing the quality of scientific health evidence by critiquing a range of study designs, and reporting on epidemiological research.

Water management engineering includes infrastructures and management for water cycle in natural and engineered environments.  

This course covers fundamental knowledge about water infrastructure engineering for natural water cycle and engineered water cycle with emphases on the effects of climate change and urbanization on natural water cycle, and urban water supply and wastewater sanitation.  

In addition to fundamental knowledge, students use principles, mathematical equations, and machine learning to solve water infrastructure problems. This course is intended for 3rd year undergraduate students of Civil and Environmental Engineering or similar. 

Prerequisite: Environmental Engineering and Lab course in CEE or similar department. . Assessments: Midterm exam (30%), final exam (30%), team project (15%), homework (15%), participation (10%).

This course covers the nature and analysis of organizations of the civil society sector, motivations to work emphasizing non-fiscal incentives, laws concerning non-profit organizations, fundraising and management of human resources, and other components in a development and social welfare organizations.

This course covers the fundamentals of environmental biology/life science and importantly the relationship and connection between environment and life. It explores the various biological/ecological principles and concepts of environmental science which are needed for critical discussion and evaluation of current global environmental issues including human ecology, urbanization, ecological economics, and climate change. This course is a combination of lectures, group discussion/debate, field trips, and tutorials. It  explores the fundamental interactions between organisms and their environment. Then explores environmental constraints on life at various ecosystems (like marine, freshwater, and terrestrial). Students learn how factors such as urbanization, climate change, and anthropogenic impacts affect life at population and ecosystem levels. Similarly, it exposes the incredible interrelationships that are basic to ecological principles and the impact that human development has upon these interrelationships. Lastly, it stimulates thinking about current life science issues such as biodiversity loss, organisms adaptation to climate change, tragedy of commons (human ecology) and applied life science topics such as biomaterial science.

This course provides an overview of and an introduction to ecological modeling. The course emphasizes on computational simulations of two contrasting biological levels: the ecosystem and the microbial community. It models their responses to environmental and climate changes. It also teaches basic concepts in modeling, the structures of two widely used ecological models (i.e., LPJ-GUESS and DEMENT), and how models, together with observational data, can be used to understand ecological systems better. The course applies and tests ecological models to understand process interactions and system responses. Topics include ecosystem biogeochemical cycles; vegetation dynamics; microbial processes: traits and community structure; model-data integration; model sensitivity testing, evaluation and prediction; modeling plant-plant and microbial community competition.

Topics in this Expansion of Operating Systems and Networks course include: administration with scripting languages; design and implementation of applications based on operating system services; monitoring utilities; introduction to distributed systems; next-generation internet (IPv6); routing protocols; advanced network protocols and services; socket programming.

This course provides a strategy-oriented exploration of artificial intelligence (AI) and machine learning (ML) in business, with emphasis on recent advances in generative AI. Geared towards 3rd and 4th year undergraduate students, the curriculum focuses on how AI creates value across industries. Rather than deep theory, the course stresses practical application – students learn to identify opportunities for AI, build simple prototypes, evaluate AI vendors, and critically assess ethical implications. The course surveys AI use cases in multiple sectors (finance, marketing, operations, etc.) to ensure broad exposure. By leveraging real-world case studies and hands-on Python exercises, students develop future-ready skills to bridge the gap between technical AI capabilities and business strategy. This course equips students to harness these technologies effectively and responsibly. Prerequisites are IIMT1640 Probability and Statistics for Business or equivalent and IIMT2602 Business Programming or equivalent.

This course provides an in-depth understanding of strategies, and their physiological underpinnings, to improve sports performance in athletes. This involves both acute strategies (i.e., methods immediately before or during competition) and prolonged interventions (e.g., intensified training, tapering and hypoxia) that can enhance performance in already well-trained individuals.

This course provides the key concepts and principles of food microbiology with special emphasis on the interaction between microorganisms and food. Microbial food spoilage and foodborne diseases are also discussed in detail. This course covers detection and enumeration of microbes in foods, factors that influence microbes in foods, spores and their significance, physical methods of food preservation, chemical preservation and natural antimicrobials, and foodborne pathogens. Prerequisites: BIOC2600 or BIOL2220 or MEDE2301.