Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S2)

Sylabus przedmiotu Risk Assessment and Management for Safety:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom drugiego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Risk Assessment and Management for Safety
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Mechaniki Konstrukcji
Nauczyciel odpowiedzialny Zbigniew Sekulski <Zbigniew.Sekulski@zut.edu.pl>
Inni nauczyciele
ECTS (planowane) 6,0 ECTS (formy) 6,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW1 30 2,50,40zaliczenie
ćwiczenia audytoryjneA1 30 3,50,60zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Linear algebra, matrix calculations, basics of differential and integral calculus.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1The course is devoted to give recommendations and discuss how to approach risk and uncertainty to support decision-making.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
ćwiczenia audytoryjne
T-A-1The exercises concern about foundational issues in risk and risk analysis; how risk should be expressed; what the meaning of risk is; how to understand and use models; how to understand and address uncertainty; and how parametric probability models like the Poisson model should be understood and used.28
T-A-2Skills evaluation.2
30
wykłady
T-W-1Introduction to the course.2
T-W-2Basic theory of probability and statistics: probability theory, classical statistical inference, bayesian inference.6
T-W-3How to think about risk and risk analysis (basic ideas and principles, economic risk, accident risk).4
T-W-4Common thinking about risk, risk analysis and management for safety (economic risk, accident risk).4
T-W-5Assessment of uncertainties and specification of probabilities (what is a good probability assignment?, modeling, uncertainty assessments).4
T-W-6Application of risk analysis to support decision-making (what is a good decision?, some examples, risk problem classification schemes).8
T-W-7Evaluation of knowledge.2
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
ćwiczenia audytoryjne
A-A-1Class participation and active engagement for developing and refining students ability to critically and productively engage with the subjects being studied.30
A-A-2Preparation of homeworks.47
A-A-3Preparation to skills evaluation.10
87
wykłady
A-W-1Participation in classes.30
A-W-2Self study.23
A-W-3Preparation to knowledge evaluation.10
63

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lectures.
M-2Exercises.

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: Students will be expected to complete written tests, projects and homework assignments as specified by the teacher.
S-2Ocena formująca: Student attendance and participation in class sessions play a vital role in successful course completion.

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTMiT_2-_ABCD_W01
The student will be able to discus, on how to approach risk and uncertainty when the basis is subjective probabilities, expressing uncertainty, and the rules of probability. He will know how he should think when planning and conducting a risk analysis.
C-1T-W-6, T-W-5, T-W-4, T-W-3, T-W-2M-1S-1

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTMiT_2-_ABCD_U01
The student will know how he should think when planning and conducting a risk analysis. He will be able to perform the necessary calculations.
C-1T-A-1M-2S-2

Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTMiT_2-_ABCD_K01
Improvement of social and personal competencies including self-awareness, self-management, social awareness, relationship skills, responsible decision-making and others. Encouraging dialogue and mutual respect between peoples of different nations, cultures and faiths.
C-1T-A-1M-2S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WTMiT_2-_ABCD_W01
The student will be able to discus, on how to approach risk and uncertainty when the basis is subjective probabilities, expressing uncertainty, and the rules of probability. He will know how he should think when planning and conducting a risk analysis.
2,0
3,0Student possess basic knowledge on the studied subject.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WTMiT_2-_ABCD_U01
The student will know how he should think when planning and conducting a risk analysis. He will be able to perform the necessary calculations.
2,0
3,0Student has basic skills related to the subject area.
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WTMiT_2-_ABCD_K01
Improvement of social and personal competencies including self-awareness, self-management, social awareness, relationship skills, responsible decision-making and others. Encouraging dialogue and mutual respect between peoples of different nations, cultures and faiths.
2,0
3,0Student has basic competences in relation to the subject area.
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Corinne Bieder, Kenneth Pettersen Gould, editors, The Coupling of Safety and Security. Exploring Interrelations in Theory and Practice, Springer Open, 2020
  2. Sabine Roeser, Rafaela Hillerbrand, Per Sandin, Martin Peterson (Eds.), Handbook of Risk Theory. Epistemology, Decision Theory, Ethics, and Social Implications of Risk, Springer ScienceþBusiness Media, 2012
  3. Sabine Roeser, Rafaela Hillerbrand, Per Sandin, Martin Peterson, editors, Essentials of Risk Theory, Springer Science+Business Media, 2013

Treści programowe - ćwiczenia audytoryjne

KODTreść programowaGodziny
T-A-1The exercises concern about foundational issues in risk and risk analysis; how risk should be expressed; what the meaning of risk is; how to understand and use models; how to understand and address uncertainty; and how parametric probability models like the Poisson model should be understood and used.28
T-A-2Skills evaluation.2
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Introduction to the course.2
T-W-2Basic theory of probability and statistics: probability theory, classical statistical inference, bayesian inference.6
T-W-3How to think about risk and risk analysis (basic ideas and principles, economic risk, accident risk).4
T-W-4Common thinking about risk, risk analysis and management for safety (economic risk, accident risk).4
T-W-5Assessment of uncertainties and specification of probabilities (what is a good probability assignment?, modeling, uncertainty assessments).4
T-W-6Application of risk analysis to support decision-making (what is a good decision?, some examples, risk problem classification schemes).8
T-W-7Evaluation of knowledge.2
30

Formy aktywności - ćwiczenia audytoryjne

KODForma aktywnościGodziny
A-A-1Class participation and active engagement for developing and refining students ability to critically and productively engage with the subjects being studied.30
A-A-2Preparation of homeworks.47
A-A-3Preparation to skills evaluation.10
87
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in classes.30
A-W-2Self study.23
A-W-3Preparation to knowledge evaluation.10
63
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTMiT_2-_ABCD_W01The student will be able to discus, on how to approach risk and uncertainty when the basis is subjective probabilities, expressing uncertainty, and the rules of probability. He will know how he should think when planning and conducting a risk analysis.
Cel przedmiotuC-1The course is devoted to give recommendations and discuss how to approach risk and uncertainty to support decision-making.
Treści programoweT-W-6Application of risk analysis to support decision-making (what is a good decision?, some examples, risk problem classification schemes).
T-W-5Assessment of uncertainties and specification of probabilities (what is a good probability assignment?, modeling, uncertainty assessments).
T-W-4Common thinking about risk, risk analysis and management for safety (economic risk, accident risk).
T-W-3How to think about risk and risk analysis (basic ideas and principles, economic risk, accident risk).
T-W-2Basic theory of probability and statistics: probability theory, classical statistical inference, bayesian inference.
Metody nauczaniaM-1Lectures.
Sposób ocenyS-1Ocena podsumowująca: Students will be expected to complete written tests, projects and homework assignments as specified by the teacher.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student possess basic knowledge on the studied subject.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTMiT_2-_ABCD_U01The student will know how he should think when planning and conducting a risk analysis. He will be able to perform the necessary calculations.
Cel przedmiotuC-1The course is devoted to give recommendations and discuss how to approach risk and uncertainty to support decision-making.
Treści programoweT-A-1The exercises concern about foundational issues in risk and risk analysis; how risk should be expressed; what the meaning of risk is; how to understand and use models; how to understand and address uncertainty; and how parametric probability models like the Poisson model should be understood and used.
Metody nauczaniaM-2Exercises.
Sposób ocenyS-2Ocena formująca: Student attendance and participation in class sessions play a vital role in successful course completion.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student has basic skills related to the subject area.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTMiT_2-_ABCD_K01Improvement of social and personal competencies including self-awareness, self-management, social awareness, relationship skills, responsible decision-making and others. Encouraging dialogue and mutual respect between peoples of different nations, cultures and faiths.
Cel przedmiotuC-1The course is devoted to give recommendations and discuss how to approach risk and uncertainty to support decision-making.
Treści programoweT-A-1The exercises concern about foundational issues in risk and risk analysis; how risk should be expressed; what the meaning of risk is; how to understand and use models; how to understand and address uncertainty; and how parametric probability models like the Poisson model should be understood and used.
Metody nauczaniaM-2Exercises.
Sposób ocenyS-2Ocena formująca: Student attendance and participation in class sessions play a vital role in successful course completion.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student has basic competences in relation to the subject area.
3,5
4,0
4,5
5,0