Axiomatic design is a graduate-level course for mainly mechanical engineering students and industrial engineering students.
- Opettaja
Jussi Kantola
Kategoria: Kone- ja materiaalitekniikan laitos
Turun yliopiston Moodle
Hakutulokset
- Opettaja
Sari Yrjänäinen
Kategoria: OKL, Rauma
Objectives
Software engineering is a comprehensive term that encompasses the design, implementation, and maintenance of complex software systems within a business unit.
After the course the students will know:
- the special characteristics and challenges of software engineering as an engineering discipline
- the software development process as a whole and the principles of project work
- the role of the customer in the software design and implementation processes
- the principles of agile methods and how to apply one particular agile method
- the functional model of continuous development (DevOps) and the continuous integration (CI)/continuous delivery (CD) principles of its methods
The course strengthens the following working life skills: presentation skills, multi-professionalism, organizational and coordination skills, project management and cooperation and negotiation skills.
Software engineering is a comprehensive term that encompasses the design, implementation, and maintenance of complex software systems within a business unit.
After the course the students will know:
- the special characteristics and challenges of software engineering as an engineering discipline
- the software development process as a whole and the principles of project work
- the role of the customer in the software design and implementation processes
- the principles of agile methods and how to apply one particular agile method
- the functional model of continuous development (DevOps) and the continuous integration (CI)/continuous delivery (CD) principles of its methods
The course strengthens the following working life skills: presentation skills, multi-professionalism, organizational and coordination skills, project management and cooperation and negotiation skills.
- Opettaja
Jari Lehto
Kategoria: Tietojenkäsittelytieteet
Objectives
Software engineering is a comprehensive term that encompasses the design, implementation, and maintenance of complex software systems within a business unit.
After the course the students will know:
- the special characteristics and challenges of software engineering as an engineering discipline
- the software development process as a whole and the principles of project work
- the role of the customer in the software design and implementation processes
- the principles of agile methods and how to apply one particular agile method
- the functional model of continuous development (DevOps) and the continuous integration (CI)/continuous delivery (CD) principles of its methods
The course strengthens the following working life skills: presentation skills, multi-professionalism, organizational and coordination skills, project management and cooperation and negotiation skills.
Software engineering is a comprehensive term that encompasses the design, implementation, and maintenance of complex software systems within a business unit.
After the course the students will know:
- the special characteristics and challenges of software engineering as an engineering discipline
- the software development process as a whole and the principles of project work
- the role of the customer in the software design and implementation processes
- the principles of agile methods and how to apply one particular agile method
- the functional model of continuous development (DevOps) and the continuous integration (CI)/continuous delivery (CD) principles of its methods
The course strengthens the following working life skills: presentation skills, multi-professionalism, organizational and coordination skills, project management and cooperation and negotiation skills.
- Opettaja
Jari Lehto
Kategoria: Tietojenkäsittelytieteet
Objectives
After the course, the student will be able to describe the basic principles of immune defence, list the most important components of both innate and adaptive immune system, and explain on a general level how immune cells and other components interact and co-operate in immune responses. The student will also be able to understand the complexity of defence mechanisms and name examples of immune-mediated diseases in which a defence mechanism either fails to protect against infections or promotes inflammatory disease. After the course, the student also knows some tehcnical approaches to study and determine components of immune system and their interactions.
After the course, the student will be able to describe the basic principles of immune defence, list the most important components of both innate and adaptive immune system, and explain on a general level how immune cells and other components interact and co-operate in immune responses. The student will also be able to understand the complexity of defence mechanisms and name examples of immune-mediated diseases in which a defence mechanism either fails to protect against infections or promotes inflammatory disease. After the course, the student also knows some tehcnical approaches to study and determine components of immune system and their interactions.
- Opettaja
Sampo Koivunen
Kategoria: Kurssit Pepistä
Objectives
After the course, the student will be able to describe the basic principles of immune defence, list the most important components of both innate and adaptive immune system, and explain on a general level how immune cells and other components interact and co-operate in immune responses. The student will also be able to understand the complexity of defence mechanisms and name examples of immune-mediated diseases in which a defence mechanism either fails to protect against infections or promotes inflammatory disease. After the course, the student also knows some tehcnical approaches to study and determine components of immune system and their interactions.
After the course, the student will be able to describe the basic principles of immune defence, list the most important components of both innate and adaptive immune system, and explain on a general level how immune cells and other components interact and co-operate in immune responses. The student will also be able to understand the complexity of defence mechanisms and name examples of immune-mediated diseases in which a defence mechanism either fails to protect against infections or promotes inflammatory disease. After the course, the student also knows some tehcnical approaches to study and determine components of immune system and their interactions.
- Opettaja
Sampo Koivunen
Kategoria: Lääketieteellinen tiedekunta
Objectives
Students:
Can identify central tendencies and argue choosing one over the other in relation to data
Can standardize data and argue its function in relation to variability
Can formulate arguments around the relationship between Statistical Significance, Effect Size and Confidence Intervals
Can apply this knowledge in the interpretation of outcomes of T-Test & Analysis of Variance
Can calculate and interpret the meaning of correlation and single regression
Students:
Can identify central tendencies and argue choosing one over the other in relation to data
Can standardize data and argue its function in relation to variability
Can formulate arguments around the relationship between Statistical Significance, Effect Size and Confidence Intervals
Can apply this knowledge in the interpretation of outcomes of T-Test & Analysis of Variance
Can calculate and interpret the meaning of correlation and single regression
- Opettaja
Koen Veermans
Kategoria: Kurssit Pepistä
Introduction to epidemiology, basic concepts and methods: measures of occurrence and associations, exposures and outcomes, validity of measurements, systematic error, random error, confounding, descriptive and analytic epidemiological study designs, data sources, causality.
- Opettaja
Laura Kortesoja
Kategoria: Lääketieteellinen tiedekunta
- Opettaja
Henna Vilppu
Kategoria: Yliopistopedagogiikka
Bayes-päättely perustuu ajatukseen, että sekä havaintojen tilastollista vaihtelua että tilastollisen mallin parametreja koskevaa epävarmuutta voidaan kuvata todennäköisyyden käsitteen avulla. Kurssilla käsiteltäviä keskeisiä käsitteitä ovat Bayesin kaava tilastollisen päättelyn välineenä; malliparametrien posteriori- ja priorijakaumat; liittopriorijakauma; epäinformatiivinen priorijakauma; ennustejakaumat; Bayes-mallin tarkistaminen.
- Opettaja
Kari Auranen
Kategoria: Matematiikan ja tilastotieteen laitos