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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”

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

Artificial Intelligence Driven Process Control Systems introduces students to the principles, methods, and practical challenges of controlling industrial and cyber-physical systems using both classical and artificial intelligence-based approaches. The course begins with the fundamentals of process control, feedback, sensors, system modelling, and PID regulation, and gradually extends these concepts toward adaptive control, fuzzy logic, machine learning, reinforcement learning, digital twins, and intelligent industrial automation.

The course emphasises the practical integration of AI into real control architectures rather than treating AI as a stand-alone technology. Students learn how data from sensors can be processed, interpreted, and used to support prediction, optimisation, fault detection, adaptive decision-making, and supervisory control. Special attention is given to implementation constraints, safety, explainability, lifecycle management, human oversight, and industrial deployment, preparing students to design and critically evaluate AI-driven control solutions for modern manufacturing, robotics, energy, and process-industry applications.

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

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…

The study course explores the possibilities offered by edutainment methods for various language technology-enabled applications in such fields as translation, localization, and creation of multi-lingual content, including educational game design and localization. The study course is envisioned for undergraduate students of study programs in humanities, interdisciplinary STEM+, and information technology.

Students will engage in a series of case studies, hands-on tasks, and lectures to explore the current offer of edutainment IT solutions, learn to select, use, and customize them for particular learning and industry needs, and solve the problems of limited definition advancing their digital competence and skills to Level 5–6 according to DIGICOMP 2.2 (digital game-based language learning, translation process coding, use and customization of immersive learning platforms, translation gaming).

The study course is primarily aimed at developing high proficiency level competences and skills of the students mastering study programmes in different fields of humanities, social sciences, communication and human behavior sciences, interdisciplinary STEM+, and information technology. The study course is intended to provide a comprehensive overview of the fundamental issues associated with the retrieval, collection, organization, and processing of semantic and pragmatic data.  The students will get acquainted with the state-of-the-art in the area of natural language processing (NLP) and natural language generation (NLG). Upon completion of the study course, you will be able to:

• actively participate in the work of various NLP technology development teams,
• conduct research in the field of digital semantics and pragmatics and solve a range of knowledge management tasks,
• co-create and/or create solutions to complex problems with limited definition that are related to modifying, refining, improving and integrating new content and information into the existing knowledge of digital semantics and pragmatics to create new and original ideas.

Studiju kursa ietvaros tiek aplūkotas ekonomisko procesu prognozēšanā plaši izmantotas modeļu pamatklases, ieskaitot dažādu iespēju apskatu no mašīnmācīšanās jomas ekonomisko procesu prognozēšanai. Katrai modeļu klasei tiek pievērsta uzmanība nepieciešamiem pieņēmumiem un to pārkāpumu vājināšanas metodēm. Papildus studiju kursā tiek aplūkoti modeļa dokumentācijas izstrādes posmi, kā arī modeļa validācijas posmi atbilstoši ES un ASV regulatoru vadlīnijām.
Studiju kurss ir pielāgots sociālo zinātņu studentiem, kā arī kombinēto studiju metodikai ietverot asinhronas un sinhronas studiju aktivitātes ar nepieciešamiem atbalsta materiāliem. Studiju kursa īstenošanai tiek izmantota lietotājam draudzīga zinātniskās programmēšanas valoda "R" RStudio vai JupyterHub vidē uz augstas veiktspējas skaitļošanas platformas (HPC) bāzes. Visi studiju kursā studējošie apgūst Eiropas iedzīvotāju digitālās kompetences ietvaram (DigComp) atbilstošās augstāko līmeņu digitālās prasmes.

Sper pirmo soli ceļā uz augsta līmeņa digitālajām prasmēm! Šis kurss ir daļa no RTU studiju kursa DE0069 “Elektroinženieru matemātikas datorrealizācija” un paredzēts pašvadītai mācīšanās…

Take your first step towards advanced digital skills!This course is part of the RTU study course “Fundamentals of Computer Simulation and Modelling” and is designed…

Learn how real clinical domains generate and use medical data (imaging, lab results, ECG/EEG signals, pathology, and genomics) and how to process it responsibly for analysis and research.

Sper pirmo soli ceļā uz augsta līmeņa digitālajām prasmēm! Šis kurss ir daļa no RTU studiju kursa “Informācijas sistēmu pārvaldība” un paredzēts pašvadītai mācīšanās pieredzei,…

This course explores how innovation is created, scaled, and sustained through complex ecosystems of interconnected actors rather than isolated firms. Students will examine the shift…

This three-course series offers a practical, structured introduction to innovation ecosystems—perfect for students who are curious about how innovation really works in practice. Developed together…

The course is aimed at students majoring in technical translation, researchers, academic staff, etc.

The course is aimed at students majoring in technical translation, researchers, academic staff, etc.

Sper pirmo soli ceļā uz augsta līmeņa digitālajām prasmēm! Šis kurss ir daļa no RTU studiju kursa “Inženieraprēķinu programmatūras mašīnbūvē (CAE)” un paredzēts pašvadītai mācīšanās…

Studiju kurss orientēts uz teorētisko un praktisko zināšanu apgūšanu par ķīmiskajiem reaktoriem
un to aprēķiniem. Studējošais iegūst zināšanas par reaktoru veidiem, kinētikas analīzes
piemērošanu reaktoru aprēķiniem, konstrukcijas risinājumiem un parametriem, kas nepieciešami
ķīmiskā procesa raksturošanai un analīzei.

The study course offers undergraduate students the opportunity to develop their knowledge, competences, and skills in applying and customizing the available machine-learning tools for textual data processing to solve a range of practical industry-related and research tasks including but not limited to corpus and textual data analysis, data preprocessing and representation, sentiment analysis, and machine translation applications. Students shall develop a comprehensive understanding of the nature of the contemporary multi-modal digital text considering, inter alia ethical, security, and sustainability aspects of textual data collection, processing, and representation. They will gain experience in the practical application of data and text mining approaches, data structuring, and data visualization techniques, learn to validate, segment, and reuse the results of textual data analysis using corresponding machine-learning methods, and develop skills in using qualitative and quantitative data analysis techniques.

The study course ensures that students develop a comprehensive knowledge of machine translation (MT) systems and their operation algorithms, getting insights into the functionalities of neural MT tools and terminology management systems (TMS), addressing term retrieval issues, analysing machine translation quality and its determinants, performing source text pre- and post-editing, as well as developing critical and creative thinking skills for the application of machine translation solutions in cultural heritage preservation projects. Students will develop competences and skills in using translation and terminology management systems, elaborate their content creation and editing skills using relevant machine translation tools to streamline workflows in the creation of multi-lingual multimodal content.

The Maritime Cybersecurity Management course introduces learners to the fundamentals of protecting modern maritime digital ecosystems, including ships, ports, logistics systems, and shore-based infrastructure. Through the story of the vessel Baltic Pearl and Captain Oto, participants explore cybersecurity concepts across seven engaging lessons with video lectures and quizzes, and an optional educational game, Sea Safe, gaining practical knowledge to recognize risks and apply security practices throughout the maritime sector.

Studiju kurss ir veltīts inženierijas objektu virtuālo prototipu praktiskās izveides apguvei ar datorizētās projektēšanas metožu palīdzību uz CAD programmatūras SOLIDWORKS bāzes. Kursā aplūko pazīmju bāzēto parametrisko projektēšanu, īpašu uzmanību veltot praktisko uzdevumu risināšanai. Detalizēti apgūst trīs galvenos projektēšanas uzdevumus: detaļu 3D modeļu veidošanu Part vidē, montāžas jeb salikuma modeļu veidošanu no komponentēm Assembly vidē un izveidoto detaļu modeļu darba rasējumu veidošanu, kā arī salikuma rasējumu un specifikāciju veidošanu Drawing vidē, pielāgojot to noformējumu ISO un LVS standartu prasībām. Studenti praktizējas arī Weldment jeb metinātu konstrukciju projektēšanā un pilnajā kursā arī Sheet Metal jeb lokšņu materiāla izstrādājumu veidošanā. Kursā apgūst 3D modeļu izveidi un sagatavošanu dažādām virtuālām simulācijām, piemēram, galīgo elementu analīzei un plūsmu dinamikas pētīšanai, u.t.t., ieskaitot pieslēgšanos augstas veiktspējas platformai (HPC) ar tās resursu izmantošanu. Studējošie apgūst Eiropas iedzīvotāju digitālās kompetences ietvaram (DigComp) atbilstošās augstāko līmeņu digitālās prasmes. Individuālie praktiskie darbi ir sastādīti līdzīgi tiem uzdevumiem, kuri ir SOLIDWORKS prasmju apliecināšanas (CSWA - Certified SOLIDWORKS Associate) sertifikācijas eksāmenā, un kuru var nokārtot pēc studiju kursa apgūšanas un papildus praktizēšanās vai pat studiju kursa nobeigumā, apliecinot gatavību darba tirgum šajā jomā. Pilnais studiju kurss ir pielāgots kombinēto studiju metodikai, un ietver asinhronas un sinhronas studiju aktivitātes, kā arī nepieciešamos atbalsta materiālus studiju asinhronām aktivitātēm. MOOC kursā ne visas šīs iespējas ir iespējams realizēt.

Take your first step towards advanced digital skills! This course is part of the RTU study course “Monte Carlo Method in Finance Engineering” and is…

Kursā tiek aplūkoti paralēlās programmēšanas pamatprincipi un tehnoloģijas, izmantojot datorgrafikas un attēlu apstrādes piemērus. Kursā paredzēts apgūt teoriju un iepazīties ar paralēlās programmēšanas principiem. Tiek…

Sper pirmo soli ceļā uz augsta līmeņa digitālajām prasmēm! Šis kurss ir daļa no RTU studiju kursa “Paralēlā programmēšana transporta sistēmās” un paredzēts pašvadītai mācīšanās…

Sper pirmo soli ceļā uz augsta līmeņa digitālajām prasmēm! Šis kurss ir daļa no RTU studiju kursa “Paralēlā programmēšana transporta sistēmās” un paredzēts pašvadītai mācīšanās…

This short course provides participants with a practical and applied overview of industrial robotics in manufacturing. Over three sessions, the course covers the fundamentals of robot-based workplace design, the implementation of robotic operations (e.g., pick-and-place and grinding), and the use of ABB RobotStudio for virtual simulation and programming. Participants will gain hands-on experience in configuring robot work cells, programming robot movements, and optimizing robotic processes in a simulated environment.

This short course provides participants with a practical and applied overview of industrial robotics in manufacturing. Over three sessions, the course covers the fundamentals of robot-based workplace design, the implementation of robotic operations (e.g., pick-and-place and grinding), and the use of ABB RobotStudio for virtual simulation and programming. Participants will gain hands-on experience in configuring robot work cells, programming robot movements, and optimizing robotic processes in a simulated environment.

Studiju kurss rada padziļinātu izpratni par ķīmijas, ķīmijas tehnoloģijas un izvēlētas apakšnozares procesu aprakstīšanu ar matemātiskajiem modeļiem, algoritmizāciju un automatizāciju.  Studiju kursā izmantota augstas veiktspējas skaitļošanas platforma, lai studentim dotu piekļuvi virtuālajām mašīnām, kurās izvietoti zinātniskās programmēšanas rīki (Aspen, MatLab) studiju kursa uzdevumu risināšanai. Studiju kursā studējošie apgūst Eiropas iedzīvotāju digitālās kompetences ietvaram (DigComp) atbilstošās augstāko līmeņu digitālās prasmes.

This three-part short course introduces participants to the concepts and practical tools of production digitalization. The course provides hands-on experience with digital simulation, production performance evaluation, flexible systems design, and immersive VR technologies using the Visual Components software. Each module focuses on a key aspect of digital manufacturing and offers structured exercises in a simulated environment.

Public eServices course materials focus on people-centric design, trust and transparency, and the use of practical frameworks for continuous improvement and responsible innovation. The course…

The course provides an in-depth understanding of Robotic Process Automation (RPA), focusing on the design and use of RPA systems for structured business process automation. The course covers modern programming languages and management algorithms used in the development of RPA solutions. It examines methods and algorithms necessary for data management and process optimization, using intelligent system management methods. Theoretical exploration of programming libraries and development tools in the context of RPA is offered. The interaction of external input/output devices using system management and process automation methods is also discussed. The course analyzes data flow control methods. Through practical tasks, students are introduced to data processing methods, graph search algorithms, classification, optimization, machine learning, and big data processing methods, which are crucial for effective RPA implementation.

Sper pirmo soli ceļā uz augsta līmeņa digitālajām prasmēm! Šis kurss ir daļa no RTU studiju kursa “Siltuma elektrostacijas” un paredzēts pašvadītai mācīšanās pieredzei, lai…

Kursa izstrādātāji: Valentīna Koliškina un Andrejs Koliškins Sper pirmo soli ceļā uz augsta līmeņa digitālajām prasmēm!Šis kurss ir daļa no RTU studiju kursa “Skaitliskās metodes”…

This course covers the main aspects of software automation in healthcare. Information on diverse software solutions in healthcare and the impact of digital transformation on…

Sper pirmo soli ceļā uz augsta līmeņa digitālajām prasmēm! Šis kurss ir daļa no RTU studiju kursa “Starptautisko pārvadājumu vadīšana” un paredzēts pašvadītai mācīšanās pieredzei,…

The goal of this course is to study network management and control methods using Unix/Linux operating system environment.

The goal of this course is to study network management and control methods using Unix/Linux operating system environment.

Sper pirmo soli ceļā uz augsta līmeņa digitālajām prasmēm! Šis kurss ir daļa no RTU studiju kursa “Teorētiskā mehānika (mašīnzinībās)” un paredzēts pašvadītai mācīšanās pieredzei,…

Take the first step toward mastering high-level digital skills!

This course is a component of the RTU study course "Vibrotechnology and Vibromachines" and is designed as a self-paced learning experience to provide an introductory insight into the subject and spark further interest. While the course is freely accessible, it does not offer a certificate of completion.

Learn how vibration problems are solved using numerical simulations, parallel programming, and high-performance computing.

This course combines theory with hands-on practice in ANSYS, Python, and JupyterLab, enabling learners to model and analyse vibrotechnical systems efficiently. Interactive content and flexible study formats support independent learning.