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This short course introduces core Artificial Intelligence (AI) methods applied in engineering and industrial decision-making. The course focuses on optimization techniques, artificial neural networks, and multicriteria decision-making methods that are commonly used in real-world industrial problems.

 

Pamatkurss topošajiem būvinženieriem, lai tālāk apgūtu RTU studiju kursu “Būvdarbu tehnoloģija un darba drošība”

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including search, knowledge representation and machine learning.

Just taking the first steps towards high-level digital skills! This course is a part of the RTU study course “Basics of Control Theory” and is intended…

Lietišķās komunikācijas ar atsevišķām personām, personu grupām un institūcijām pamatprincipi

Take your first step towards advanced digital skills! This course is part of the RTU study course "Business Analytics" and is designed for a self-paced learning experience to provide an insight into the topic and spark interest. The course is freely accessible; however, it does not offer a certificate upon completion. The full-scale study course provides significant added value—it offers intensive practical work with digital tools and high-performance computing technologies, ensuring the development of advanced digital skills corresponding to levels 7–8 of the European Digital Competence Framework (DigComp). If you wish to study in-depth and receive a certificate certifying the acquired DigComp competences, apply for the full study course as a guest learner through the RTU Lifelong Learning Department: 👉 https://www.rtu.lv/lv/studijas/uznemsana/kursi-klausitajiem 📧 talakizglitiba@rtu.lv 📞 +371 67089439

Unlock the power of processes to drive business success! This course equips you with the skills to design, optimize, and manage business processes that align…

Sper pirmo soli ceļā uz augsta līmeņa digitālajām prasmēm! Šis kurss ir daļa no RTU studiju kursa BM0267 Būvmehānika (1) un paredzēts pašvadītai mācīšanāspieredzei, lai…

Course provides knowledge and practical tools for career planning, researching job market opportunities, and developing essential job search skills. Topics include career planning and self-awareness, analyzing job market trends, internship and job application strategies, and tips for a successful interview. The course provides insight into professional skills and workplace attitudes, as well as maintaining long-term career well-being, resilience, and networking. Practical worksheets and exercises support hands-on learning and career path development.

Studiju kurss apskata pamatprincipus un tehnoloģijas dzeramā ūdens sagatavošanai no dabas (virszemes, jūra, pazemes) ūdenstilpnēm. Studiju kurss paredz teorijas apguvi un iepazīšanos ar attīrīšanas shēmu aprēķinu principiem. Tiek apskatītā ūdens ķīmija un bioloģija, ūdens kvalitātes prasības, virszemes un pazemes ūdens tīrīšana, nogulšņu apstrāde un ūdens kvalitāte sadales tīklā. Studiju kursa mērķis ir izveidot studentu zināšanu sistēmu par ūdens sagatavošanas procesiem, attīstot prasmes ūdens sagatavošanas stacijas shēmas izstrādei.

This course is devoted to a relatively new area - data spaces, which is natural development of data lakes and other data management approaches and technologies introducing governance as a key to the AI-ready organisations. The governance is looked from different prospective, including privacy, security, transparency, monetisation and others. To add more technical and practical dimension to the course different EU initiatives are discussed and introduced for better understanding of the data spaces concepts an their implementations. 

Course Page — Design of Adaptive Systems Course code · DE0484 Design of Adaptive Systems This course introduces the principles of analysis and design of…