Tavoitteet
After the course the student can use basic memorised phrases and main vocabulary of the themes covered on the course. The student can communicate in Finnish in everyday life situations and is able to answer easy questions and respond to simple statements. Various communication exercises during the course encourage the student to start using Finnish outside the classroom.
Turun yliopiston Moodle
Hakutulokset
Objectives
-Students will learn the key concepts of the predictive processing framework, including prediction error minimization, hierarchical processing, and active inference.
-They will learn how the predictive processing framework can explain different mental phenomena such as perception, action, consciousness, temporal experience, and mental disorders.
-Through lectures and seminars, students learn to apply the principles of the framework to theoretical and practical problems, enhancing their ability to engage in discussions in cognitive science and philosophy of mind.
-Students will learn the key concepts of the predictive processing framework, including prediction error minimization, hierarchical processing, and active inference.
-They will learn how the predictive processing framework can explain different mental phenomena such as perception, action, consciousness, temporal experience, and mental disorders.
-Through lectures and seminars, students learn to apply the principles of the framework to theoretical and practical problems, enhancing their ability to engage in discussions in cognitive science and philosophy of mind.
- Opettaja
Pii Telakivi
Kategoria: Filosofia
This course is an intensive course designed to provide a solid
foundation in quantitative research methods for students planning to
conduct research in the social sciences. The goal is for students
unfamiliar with quantitative research methods to learn basic statistical
terminology, concepts, tests and techniques. Topics covered include
descriptive measures (measures of central tendency and dispersion),
simple bivariate analyses (e.g. crosstabulation), three way cross
tabulation (elaboration), tests of significance and measures of
association.
- Opettaja
Esa Karonen
Kategoria: Invest
Security, privacy, and data protection are increasingly important for software systems and information technology in general. None of the concepts can be separated from each other. Thus, after this course, the participants will have advanced and holistic understanding of privacy and data protection on one hand and security on the other.
After the course, the students
know the basic elements of software security and privacy
are familiar with secure software engineering practices and techniques
know a broad set of software security threats and possible countermeasures
are familiar with secure programming and related tools
have a good knowledge of software vulnerabilities, their discovery and manifestations in software
have a broad understanding of GDPR, its elements, with a specific focus on software development
know the historical, philosophical and legal background of privacy and data protection
are familiar with privacy engineering and its core concepts
The course strengthens the following working life skills: creativity, multi-professionalism, problem solving skills and information and communication technology skills.
- Opettaja
Ville Leppänen
Kategoria: Tietotekniikan laitos
An
introduction to proactive law and proactive contracting: the contents of these concepts, how they have developed, how they complement or diverge from the
traditional approaches to law and contracting, and how they function especially
in international trade. The focus is on self- and co-regulation (rather than
command and control regulation) and how they can be applied to contracting and
risk management throughout the contract life-cycle. The focus is on contracting
competences and enabling methods, tools and good practices.
- Opettaja
Tarja Salmi-Tolonen
Kategoria: Oikeustieteellinen tiedekunta
Objectives
The student learns to:
- discuss the context and history of language theory and technologies
- identify and analyze the strengths and domains of different programming paradigms and languages, e.g. in the cloud context
- develop basic grammars and language tools with language frameworks
- set up and interface with different language runtime environments
- categorize languages based on their core linguistic features
- analyze advanced topics of object oriented programming (e.g. inheritance, variance, dispatch methods)
- develop using functional programming principles in both purely functional and multi-paradigm languages
- discuss the operating principles of other forms of declarative programming (logic, data flow, reactive, deterministic concurrency)
- identify, locate and obtain information about programming languages and paradigms
The course strengthens the following working life skills: presentation skills, creativity, multi-professionalism, problem solving skills, information and communication technology skills and communication skills.
The student learns to:
- discuss the context and history of language theory and technologies
- identify and analyze the strengths and domains of different programming paradigms and languages, e.g. in the cloud context
- develop basic grammars and language tools with language frameworks
- set up and interface with different language runtime environments
- categorize languages based on their core linguistic features
- analyze advanced topics of object oriented programming (e.g. inheritance, variance, dispatch methods)
- develop using functional programming principles in both purely functional and multi-paradigm languages
- discuss the operating principles of other forms of declarative programming (logic, data flow, reactive, deterministic concurrency)
- identify, locate and obtain information about programming languages and paradigms
The course strengthens the following working life skills: presentation skills, creativity, multi-professionalism, problem solving skills, information and communication technology skills and communication skills.
- Opettaja
Jari-Matti Mäkelä
Kategoria: Kurssit Pepistä
Objectives
The student learns to:
- discuss the context and history of language theory and technologies
- identify and analyze the strengths and domains of different programming paradigms and languages, e.g. in the cloud context
- develop basic grammars and language tools with language frameworks
- set up and interface with different language runtime environments
- categorize languages based on their core linguistic features
- analyze advanced topics of object oriented programming (e.g. inheritance, variance, dispatch methods)
- develop using functional programming principles in both purely functional and multi-paradigm languages
- discuss the operating principles of other forms of declarative programming (logic, data flow, reactive, deterministic concurrency)
- identify, locate and obtain information about programming languages and paradigms
The course strengthens the following working life skills: presentation skills, creativity, multi-professionalism, problem solving skills, information and communication technology skills and communication skills.
The student learns to:
- discuss the context and history of language theory and technologies
- identify and analyze the strengths and domains of different programming paradigms and languages, e.g. in the cloud context
- develop basic grammars and language tools with language frameworks
- set up and interface with different language runtime environments
- categorize languages based on their core linguistic features
- analyze advanced topics of object oriented programming (e.g. inheritance, variance, dispatch methods)
- develop using functional programming principles in both purely functional and multi-paradigm languages
- discuss the operating principles of other forms of declarative programming (logic, data flow, reactive, deterministic concurrency)
- identify, locate and obtain information about programming languages and paradigms
The course strengthens the following working life skills: presentation skills, creativity, multi-professionalism, problem solving skills, information and communication technology skills and communication skills.
- Opettaja
Jari-Matti Mäkelä
Kategoria: Tietotekniikan laitos
Tavoitteet
Opintojaksolla opiskelija oppii tutkimuksen tekemisen ja raportoinnin perusteita. Hän osaa määritellä, rajata ja muotoilla tutkimusongelman. Opiskelija pystyy hankkimaan tietoa tutkimusongelmastaan ja siihen liittyvää tieteellistä, erityisesti saksankielistä kirjallisuutta. Hän omaksuu saksankielisen akateemisen kirjoittamisen konventioita ja pystyy raportoimaan tutkimuksestaan suullisesti ja kirjallisesti. Hän osaa itsenäisesti kerätä ja analysoida tutkimusaineistoa. Opiskelija oppii hallitsemaan valitsemansa tutkimusmenetelmän käytön ja on tutustunut muihin kieli- tai käännöstieteen tutkimusmenetelmiin. Hän osaa antaa ja ottaa vastaan rakentavaa palautetta. Aihevalintojen kautta opiskelija voi perehtyä myös kestävän kehityksen näkökulmiin.
Nach Abschluss des Kurses beherrschen die Studierenden die Grundlagen der Forschung und ihrer Publikation. Sie können ein Forschungsproblem definieren, eingrenzen und formulieren, über ein Forschungsproblem recherchieren und sich einschlägige wissenschaftliche Literatur, insbesondere in deutscher Sprache, beschaffen. Die Absolventen des Kurses beherrschen die Konventionen des wissenschaftlichen Schreibens in deutscher Sprache und sind in der Lage, über ihre Forschung mündlich und schriftlich zu berichten. Sie können selbstständig Forschungsdaten erheben und auswerten. Sie beherrschen die von ihnen gewählten Forschungsmethoden und haben sich mit anderen Forschungsmethoden der Sprach- und Übersetzungswissenschaft vertraut gemacht. Sie können konstruktives Feedback geben und erhalten. Über die Themenwahl können sich die Studierenden auch mit Aspekten der nachhaltigen Entwicklung vertraut machen.
- Opettaja
Christian Niedling
Kategoria: Saksan kieli
Objectives
After passing the proteomics course, the student is able to:
- prepare protein samples
- analyze proteins with gel-based methods
- understand the principle and work-flow of mass spectrometry analysis
- write scientific report
- peer-review scientific text
After passing the proteomics course, the student is able to:
- prepare protein samples
- analyze proteins with gel-based methods
- understand the principle and work-flow of mass spectrometry analysis
- write scientific report
- peer-review scientific text
- Opettaja
Marjaana Rantala
Kategoria: Bioteknologian laitos
Objectives
After passing the proteomics course, the student holds theoretical know-how on the principles of proteomic analysis and understands how the different methodologies of mass spectrometry can be applied in scientific research. The student also gains transferrable skills, including presentation skills and team work skills, as well as practical skills in protein extraction, purification, quantification, gel-based separation methods and detection.
After passing the proteomics course, the student holds theoretical know-how on the principles of proteomic analysis and understands how the different methodologies of mass spectrometry can be applied in scientific research. The student also gains transferrable skills, including presentation skills and team work skills, as well as practical skills in protein extraction, purification, quantification, gel-based separation methods and detection.
- Opettaja
Mikko Tikkanen
Kategoria: Bioteknologian laitos