. "Basics of english for special purposes"@en . . "3" . "Development of communication skills in professional context using specific professional English language Knowledge of English acquired in primary and secondary education Understand the role of geodesy, geoinformatics and spatial data in modern world, demonstrate competences in measuring systems, methods and technologies of measurement and spatial data collection.\nDemonstrate competences in regulations and administrative framework important for geodesy and geoinformatics, the regulations related to copy right, publishing and exchange of spatial data.\nKeep pace with and adopt new technological achievements in the field of surveying, geoinformation systems and services based on the position, and the changes in regulations, norms and standards. \nTake responsibility for continuing academic development in the field of geodesy and geoinformatics, or related disciplines, and for the development of interest in lifelong learning and further professional education." . . "Presential"@en . "FALSE" . . "Estonian for beginners I, on the basis of english, level 0 > a1.1"@en . . "6" . "The Estonian course will give the basic knowledge of the Estonian grammar and vocabulary.\nThe main topics (vocabulary & conversation):\n* I;\n* Languages, Countries, Nations;\n* Favourites;\n* Numbers;\n* Time;\n* Food and Drink;\n* Family;\n* My day;\n* Tartu;\n\nThe main topics (grammar):\n* Cases: Main Cases of Singular, Local Cases of Singular, Comitative and Abessive of Singular. Nominative Plural;\n* Personal Pronouns, Adjectives, Cardinal Numbers;\n* Present Tense, Imperfect (Simple Past);\n* Imperative Mood;\n* ma- and da- infinitive.\n\nOutcome:\nOn completion of the course the students will be able\r\n* to understand and use Estonian cases, conjugate Estonian verbs in the present and past tenses, use the imperative, use adjectives and cardinal numbers.\r\n* to communicate in everyday situations in the street, in a shop, at a restaurant and socialize in a group, talk and write about her/himself, her/his family, home and eating habits, express (dis)approval.\r\n* to understand and create elementary-level oral and written texts." . . "Presential"@en . "TRUE" . . "Natural language processing"@en . . "8" . "Natural language processing (NLP) is one of the most \r\nimportant technologies of the information age, and \r\na crucial part of artificial intelligence. Applications of \r\nNLP are everywhere because people communicate \r\nalmost everything in language: web search, \r\nadvertising, emails, customer service, language \r\ntranslation, medical reports, etc. In this course, \r\nseveral models and algorithms for automated textual \r\ndata processing will be described: \r\n>1morpho-lexical level: electronic lexica, spelling \r\ncheckers; \r\n>2 syntactic level: regular, context-free, stochastic \r\ngrammars, parsing algorithms; \r\n>3 semantic level: models and formalisms for the \r\nrepresentation of meaning. \r\nSeveral application domains will be presented: \r\nLinguistic engineering, Information Retrieval, Text \r\nmining (automated knowledge extraction), Textual \r\nData Analysis (automated document classification, \r\nvisualization of textual data).\n\nOutcome: Not Provided" . . "Presential"@en . "TRUE" . . "Spoken language generation and processing"@en . . "2" . "Aims\n\nThe aim of this module is to teach students the underlying concepts and examples of spoken language processing. This module extends the speech recognition module to examine state-of-the-art systems, and how these systems are connected to downstream applications. Finally the module discusses speech synthesis systems to enable system feedback to users.\n\nOutcome:\nOn completion of this module, students should:\r\n\r\nUnderstand state-of-the-art speech recognition systems\r\nUnderstand the challenges of integrating speech recognition and language processing\r\nBe able to develop (from examples) spoken language processing systems \r\nUnderstand speech synthesis systems" . . "Presential"@en . "TRUE" . . "Natural language processing"@en . . "5" . "Aims:\r\n\r\nThis course introduces the fundamental techniques of natural language processing. It aims to explain the potential and the main limitations of these techniques. Some current research issues are introduced and some current and potential applications discussed and evaluated. Students will also be introduced to practical experimentation in natural language processing.\n\nOutcome:\nOn completion of this module, students should:\r\n\r\nbe able to discuss the current and likely future performance of several NLP applications;\r\nbe able to describe briefly a fundamental technique for processing language for several subtasks, such as morphological processing, parsing, word sense disambiguation etc.;\r\nunderstand how these techniques draw on and relate to other areas of computer science;\r\nunderstand the basic principles of designing and running an NLP experiment.\r\nLectures for this course take place in the Department of Computer Science and Technology. Other elements of the course are taken in the Department of Engineering." . . "Presential"@en . "FALSE" . . "Swedish for international students 1"@en . . "3" . "The course includes:\r\n• basic vocabulary, phrases and grammar such as word order of principal clauses, the present tense and\r\npronouns.\r\n• basic vocabulary\r\n• time expressions\r\n• pronunciation training\r\n• listening comprehension\r\n• basic everyday phrases\n\nOutcome:\nAfter finished course, the student is to have gained basic language skills. The student must:\r\n• handle everyday language situations so that the student can present themselves and their background in\r\nSwedish\r\n• be able to read and understand simple Swedish texts\r\n• be able to make use of basic knowledge about the structure of the Swedish language" . . "Presential"@en . "FALSE" . . "Estonian language and culture"@en . . "6" . "no data" . . "Presential"@en . "FALSE" . . "Czech language"@en . . "6" . "no data" . . "Presential"@en . "FALSE" . . "English knowledge test"@en . . "3" . "Learning outcomes\n\nGraduates in Aerospace Engineering must have a written knowledge of English similar to Level B2, according to the Common European framework of reference for languages. The required level can be certified by means of a specific certificate produced by the Interdepartmental Language Center (CLI) of the University after passing the relevant written test or with the production of suitable certification issued by ALTE certified bodies other than the CLI." . . "Presential"@en . "TRUE" . . "Estonian for beginners I, on the basis of english, level 0 > a1.1"@en . . "6" . "no data" . . "Presential"@en . "FALSE" . . "Estonian for beginners II, on the basis of english, level a1.1 > a1.2"@en . . "6" . "no data" . . "Presential"@en . "FALSE" . . "Spoken and written communication in estonian"@en . . "3" . "no data" . . "Presential"@en . "FALSE" . . "English for technical purposes: industry and energy module"@en . . "3" . "no data" . . "Presential"@en . "FALSE" . . "Japanese"@en . . "5" . "no data" . . "Presential"@en . "FALSE" . . "Spanish"@en . . "5" . "no data" . . "Presential"@en . "FALSE" . . "language"@en . . "5" . "no data" . . "Presential"@en . "FALSE" . . "Foreign language"@en . . "8" . "Structural-grammatical material: revision, expansion and systema-\ntisation of the following topics: grammatical tenses/ tenses of nar-\nration; active/passive voice; de-pendent speech; conditionals;\nquestion formation; collocations; compound sentences; word order\nin a sentence; modal verbs; phrasal verbs. Conceptual-functional\nmaterial: requests; suggestions; offers; ad-vice; consent/refusal;\nnegations; agree/disagree; ex-pressing opinion, cause/effect; rea-\nson/purpose; wishes, apology; summary; choice of register/style,\nspecialized language" . . "Presential"@en . "TRUE" . . "English (b2+ level)"@en . . "4" . "Vocabulary and grammar resources of the English language corresponding to proficiency at\nB2+ level of the Common European Framework of Reference for Languages. Topics within\nthe field of sciences, in particular physics and astronomy. Specialized vocabulary and\ngrammar structures used in academic environment, enabling the student to understand and\nanalyse professional texts/lectures, as well as to describe and present astrophysical issues." . . "Presential"@en . "FALSE" . . "Polish for foreigners (a1 level)10"@en . . "no data" . "no data" . . "Presential"@en . "FALSE" . . "Polish for foreigners (a1 level)11"@en . . "5" . "no data" . . "Presential"@en . "FALSE" . . "Natural language processing"@en . . "6" . "no data" . . "Presential"@en . "FALSE" . . "Polish language"@en . . "0" . "no data" . . "Presential"@en . "TRUE" . . "English language 1"@en . . "2" . "no data" . . "Presential"@en . "TRUE" . . "Finnish"@en . . "1" . "no data" . . "Online"@en . "FALSE" . . "Finnish"@en . . "1" . "no data" . . "Presential"@en . "FALSE" . . "Latvian language for beginners I"@en . . "2" . "The aim of the course is to promote the acquisition of the Latvian language knowledge and to build the students’ communicative and intercultural competence at beginners' level. The tasks of the course are the following: - to develop listening, reading, writing and speaking skills of Latvian; - to develop linguistic competence of Latvian grammar, lexis and syntax.\nThe language of instruction is mostly English.\nResults Knowledge 1. Know basic Latvian grammar. 2. Know topic-based vocabulary acquired during the course at level A1. Skills 3. Understand rudimentary phrases and simple sentences. 4. Read and understand information at A1 level. 5. Communicate in simple everyday situations. 6. Communicate in written form in everyday situations. Competence 7. Use Latvian language in everyday life and study process." . . "Presential"@en . "TRUE" . . "Polish language 2"@en . . "0" . "no data" . . "Presential"@en . "TRUE" . . "English language 2"@en . . "2" . "no data" . . "Presential"@en . "TRUE" . . "Foreign language 3"@en . . "2" . "no data" . . "Presential"@en . "TRUE" . . "Languages - c1_egzam (english)"@en . . "0" . "no data" . . "Presential"@en . "TRUE" . . "Advanced english"@en . . "9" . "not available" . . "Presential"@en . "TRUE" . . "Foreign language"@en . . "12" . "no data" . . "Presential"@en . "TRUE" . . "Foreign language 4"@en . . "3" . "no data" . . "Presential"@en . "TRUE" . . "English in geoscience"@en . . "3" . "no data" . . "Presential"@en . "TRUE" . . "Foreign language 5"@en . . "2" . "no data" . . "Presential"@en . "TRUE" . . "Scientific and technical expression in english language"@en . . "3" . "Technical and IT English\nBibliographic studies" . . "Presential"@en . "TRUE" . . "Evelopment environments and languages"@en . . "9" . "Computer Analysis\nObject Oriented Development\nAdvanced Development Concepts" . . "Presential"@en . "TRUE" . . "Français / french"@en . . "3" . "no data" . . "Presential"@en . "TRUE" . . "Language and human science 1 (2 crédits ects)"@en . . "2" . "LV401 - Culture and language French\nLV406E - Culture and Language - English\nLV409 - Culture and Language - other language" . . "Presential"@en . "TRUE" . . "Language and human science 2 (2 crédits ects)"@en . . "2" . "Culture and Language - French\nCulture and Language - English\nCulture and Language - other language\n Climate days change" . . "Presential"@en . "TRUE" . . "Language and human science 3 (3 crédits ects)"@en . . "3" . "Culture and Language - French\nCulture and Language - English\nCulture and Language - other language\nSocietal challenges (Masters)" . . "Presential"@en . "TRUE" . . "Scientific and professional english (2 ects)"@en . . "2" . "no data" . . "Presential"@en . "TRUE" . . "International research track (taught in english)"@en . . "no data" . "no data" . . "Presential"@en . "FALSE" . . "Dutch elementary1"@en . . "3.00" . "no data" . . "Online"@en . "FALSE" . . "German for engineers a1.1"@en . . "3.00" . "Learning Outcomes\nDuring and after their studies, MSE students are most likely to collect work experience in the German aerospace sector. The module\nGerman for Engineers is designed to help students to work in the engineering environment. The module A1.1 corresponds to basic users of\nthe language, who communicate in everyday situations with commonly-used expressions and elementary vocabulary. After completing the\nA1.1 module, students can understand and use very frequently-used everyday expressions as well as simple phrases to meet immediate\nneeds. They can introduce themself and others, ask and answer questions about personal details and interact in a simple way provided the\nother person talks slowly and clearly.\nContent\n- Introductions\n- Talking about personal details such as where students live, things they have and people they know.\n- Counting\n- Hobbies\n- Ordering food, talking about food\n- Expressing not having and needing things\n- Talking about things\n- Talking about what one can and cannot do\n- Expressing prices\n- Telling time\n- Naming days of the week and months" . . "Presential"@en . "FALSE" . . "German for engineers a1.2"@en . . "3.00" . "Learning Outcomes\nDuring and after their studies, MSE students are most likely to collect work experience in the German aerospace sector. The module\nGerman for Engineers is designed to help students to work in the engineering environment. The module A1.2 corresponds to basic users of\nthe language, i.e. those able to communciate in everyday situations with commonly-used expressions and elementary vocabulary. After\ncompleting the A1.2 module, students can understand and use very frequently-used everyday expressions as well as simple phrases to\nmeet immediate needs. They can introduce themself and others, ask and answer questions about personal details and interact in a simple\nway provided the other person talks slowly and clearly.\nContent\n- Talking about daily routine, work activities\n- Making appointments\n- Making directions\n- Describing locations\n- Talking about time and duration\n- Talking about taste and preferences\n- Naming body parts\n- Naming items of clothing\n- Talking about past using Perfekt\n- Expressing likes and dislikes\n- Modal verbs" . . "Presential"@en . "FALSE" . . "German for engineers a2.1"@en . . "3.00" . "no data" . . "Presential"@en . "FALSE" . . "German for engineers a2.2"@en . . "3.00" . "no data" . . "Presential"@en . "FALSE" . . "German for engineers b1.1"@en . . "3.00" . "no data" . . "Presential"@en . "FALSE" . . "German for engineers b1.2"@en . . "3.00" . "no data" . . "Presential"@en . "FALSE" . . "German for engineers b1.3"@en . . "3.00" . "no data" . . "Presential"@en . "FALSE" . . "Foreign language"@en . . "no data" . "Description in Bulgarian" . . "Presential"@en . "TRUE" . . "Advanced natural language processing"@en . . "6.0" . "For decades, teaching a computer to deal with natural language processing (NLP) was a long-time dream of humankind. Task such as machine translation, summarization, question-answering, speech recognition or chatting remained a challenge for computer program. Around 2020, major improvements were made. Starting with machine translation and ultimately in late 2022 with ChatGPT. Why were these large-language models suddenly so good? How did we get here? What can we do with these new algorithms to improve them even more?\n\nThis course will provide the skills and knowledge to understand and develop state-of-the-art (SOTA) solutions for these natural language processing (NLP) tasks. After a short introduction to traditional generative grammars and statistical approaches to NLP, the course will focus on deep learning techniques. We will discuss Transformers, variations on their architecture (including BERT and GPT) in depth, which models works best for which tasks, their capacities, limitations and how to optimize these.\n\nAlthough that we have algorithms that can deal with Natural Language Processing in ways that can no longer be distinguished from humans, we still have some major problems to address: (i) we do not fully understand what these algorithms know and what they do not know. So, there is a strong need for eXplainable AI (XAI) in NLP. (ii) Training the deep-learning large language-models costs too much energy. We need to develop models that are less computationally (and thus energy) intensive. (iii) Now that these algorithms operate at human-level quality, several ethical problems arise related to computer generated fake-news, fake profiles, bias, and other abuse. But there are also ethical, legal, regulatory and privacy challenges. In this courses, these important topics will also be discussed.\n\nThis course is closely related with the course Information Retrieval and Text-Mining (IRTM). In this course the focus is more on advanced methods and architectures to deal with complex natural language tasks. The IRTM course focusses more on building search engines and text-analytics, but also uses a number of the architectures which are discussed in more depth in this course. The overlap between the two courses is kept to a minimum. There is no need to follow the courses in a specific order.\n\nPrerequisites\nNone.\n\nRecommended reading\nPapers published in top international conferences and journals in machine learning field.\n\nMore information at: https://curriculum.maastrichtuniversity.nl/meta/465515/advanced-natural-language-processing" . . "Presential"@en . "FALSE" . . "The french-speaking world 1"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=FREU9A1&_gl=1*1rqncef*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzODY1MC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Introductory french 1"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=FREU9B1&_gl=1*1rqncef*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzODY1MC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Language and society"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=LINU911&_gl=1*1rqncef*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzODY1MC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Spanish and latin american studies 1"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=SPAU9A1&_gl=1*vauqw3*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzODY1MC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Introductory spanish 1"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=SPAU9B1&_gl=1*vauqw3*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzODY1MC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "The french-speaking world 2"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=FREU9A2&_gl=1*ctz2u9*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTA0NS4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Introductory french 2"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=FREU9B2&_gl=1*kjdomz*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTA0NS4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Foundations of language"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=LINU912&_gl=1*kjdomz*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTA0NS4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Spanish and latin american studies 2"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=SPAU9A2&_gl=1*1rwc785*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTA0NS4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Introductory spanish 2"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=SPAU9B2&_gl=1*1rwc785*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTA0NS4wLjAuMA.." . . "Presential"@en . "FALSE" . . "The french-speaking world 1 (freu9a1)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=FREU9A1&_gl=1*dwddjn*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTM5NC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "The french-speaking world 3 (freu9a3)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=FREU9A3&_gl=1*dwddjn*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTM5NC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Introductory french 1 (freu9b1)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=FREU9B1&_gl=1*dwddjn*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTM5NC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Intermediate french (freu9b3)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=FREU9B3&_gl=1*dwddjn*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTM5NC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Language and society (linu911)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=LINU911&_gl=1*17xpbct*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTM5NC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Language and the brain (linu9l3)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=LINU9L3&_gl=1*17xpbct*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTM5NC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Spanish and latin american studies 1 (spau9a1)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=SPAU9A1&_gl=1*1xh1u93*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTM5NC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Spanish and latin american studies 3 (spau9a3)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=SPAU9A3&_gl=1*1xh1u93*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTM5NC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Introductory spanish 1 (spau9b1)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=SPAU9B1&_gl=1*1xh1u93*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTM5NC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Intermediate spanish and latin american studies (spau9b3)"@en . . "20.0" . "https://portal.stir.ac.uk/calendar/calendar.jsp?modCode=SPAU9B3&_gl=1*1xh1u93*_ga*MTY1OTcwNzEyMS4xNjkyMDM2NjY3*_ga_ENJQ0W7S1M*MTY5MjAzNjY2Ny4xLjEuMTY5MjAzOTM5NC4wLjAuMA.." . . "Presential"@en . "FALSE" . . "Language"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .