Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)

Sylabus przedmiotu Optimization Approach to Statistical Decision-Making:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Optimization Approach to Statistical Decision-Making
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
ćwiczenia audytoryjneA1 30 3,50,60zaliczenie
wykładyW1 30 2,50,40zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Fundamentals of optimization, fundamentals of probability, fundamentals of statistics.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1A objective of the course is give to students of modern methods for the best possible use of the observations for purposes of statistical test and estimation procedures as well as optimal decision-making in the final.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
ćwiczenia audytoryjne
T-A-1Discussion of some practical problems related to: definition of the statistical decision problem; distribution function of random variable; decision rule concept; a randomized decision rule; loss, cost, and risk functions; Bayes and minimax solutions of the decision problem; complete classes of decision rules; relation to von Neumann's theory of games; formulation and testing of statistical hypothesis; regression and correlation analysis.12
T-A-2Discussion of some practical problems related to: ordering and ranking of performance between decision functions; admissibility; admissible decision functions, inadmissible decision functions; feasible and admissible risk functions; Pareto domination; Pareto frontier; Bayes optimality; minimaxity; some relationships between the concepts of admissibility, Bayes optimality, and minimaxity; solution methods of optimization problems of statistical decisions.12
T-A-3Evaluation of practical competence.6
30
wykłady
T-W-1Definition of the statistical decision problem; distribution function of random variable; decision rule concept; a randomized decision rule; loss, cost, and risk functions; Bayes and minimax solutions of the decision problem; complete classes of decision rules; relation to von Neumann's theory of games; formulation and testing of statistical hypothesis; regression and correlation analysis; discussion of some special cases.14
T-W-2Ordering and ranking of performance between decision functions; admissibility; admissible decision functions, inadmissible decision functions; feasible and admissible risk functions; Pareto domination; Pareto frontier; Bayes optimality; minimaxity; some relationships between the concepts of admissibility, Bayes optimality, and minimaxity; solution methods of optimization problems of statistical decisions; discussion of some special cases.14
T-W-3Evaluation 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 and projects.52
A-A-3Preparation to skills evaluation.5
87
wykłady
A-W-1Class participation and active engagement.30
A-W-2Own study of the literature.23
A-W-3Preparation to the knowledge evaluation.10
63

Metody nauczania / narzędzia dydaktyczne

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

Sposoby oceny

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

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_1-_??_W01
Upon successful completion of this course, the students will be prepared to apply optimization methods as well as modern statistical decision theory and statistical methods to design, development and operational evaluation of engineering objects and systems.
C-1T-W-1, T-W-2M-1S-1, S-2

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_1-_??_U01
The ability to use the acquired knowledge to solve practical problems.
C-1T-A-1, T-A-2M-2S-1, S-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_1-_??_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-1, T-A-2, T-A-3M-1, M-2S-1, S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WTMiT_1-_??_W01
Upon successful completion of this course, the students will be prepared to apply optimization methods as well as modern statistical decision theory and statistical methods to design, development and operational evaluation of engineering objects and systems.
2,0Failing, Students performing at this level demonstrate no evidence of the knowledge, skills, and practices embodied by the course assessed at their grade level. The range for the grade of 2.0 is from 0% to 50% of the total possible score (100%).
3,0Students performing at this level demonstrate a minimal command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.0 is from 51% to 60% of the total possible score (100%).
3,5Students performing at this level demonstrate a beginning command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.5 is from 61% to 70% of the total possible score (100%).
4,0Students performing at this level demonstrate a developing command of the knowledge, skills, and practices embodied by the course at their grade level. The range for the grade of 4.0 is from 71% to 80% of the total possible score (100%).
4,5Students performing at this level demonstrate a moderate command of the knowledge, skills, and practices embodied by the course. Students at this level are approaching the standards at their grade level. The range for the grade of 4.5 is from 81% to 90% of the total possible score (100%).
5,0Students performing at this level demonstrate a distinguished and strong command of the knowledge, skills, and practices embodied by the course. Students at this level are meeting or extending the standards at their grade level. The range for the grade of 5.0 is from 91% to 100% of the total possible score (100%).

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WTMiT_1-_??_U01
The ability to use the acquired knowledge to solve practical problems.
2,0Failing, Students performing at this level demonstrate no evidence of the knowledge, skills, and practices embodied by the course assessed at their grade level. The range for the grade of 2.0 is from 0% to 50% of the total possible score (100%).
3,0Students performing at this level demonstrate a minimal command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.0 is from 51% to 60% of the total possible score (100%).
3,5Students performing at this level demonstrate a beginning command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.5 is from 61% to 70% of the total possible score (100%).
4,0Students performing at this level demonstrate a developing command of the knowledge, skills, and practices embodied by the course at their grade level. The range for the grade of 4.0 is from 71% to 80% of the total possible score (100%).
4,5Students performing at this level demonstrate a moderate command of the knowledge, skills, and practices embodied by the course. Students at this level are approaching the standards at their grade level. The range for the grade of 4.5 is from 81% to 90% of the total possible score (100%).
5,0Students performing at this level demonstrate a distinguished and strong command of the knowledge, skills, and practices embodied by the course. Students at this level are meeting or extending the standards at their grade level. The range for the grade of 5.0 is from 91% to 100% of the total possible score (100%).

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WTMiT_1-_??_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.
2,0Students performing at this level demonstrate no evidence of increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
3,0Acceptable student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
3,5Below average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
4,0Average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
4,5Above average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
5,0Oustending student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.

Literatura podstawowa

  1. Bross I.D.J., Design for Decision, The Macmillan Company, New York, 1959
  2. Grima P., Absolute Certainty and Other Fiction: The Secrets of Statistics, RBA Coleccionables, 2012

Literatura dodatkowa

  1. DeGroot M.H., Optimal statistical decisions, McGraw-Hill, Inc., New York, 1970
  2. R. Fletcher, Practical Methods of Optimization, John Wiley & Sons, Ltd., 1987
  3. Lehmann E.L., Romano J.P., Testing Statistical Hypotheses, Springer International Publishing AG., 2005

Treści programowe - ćwiczenia audytoryjne

KODTreść programowaGodziny
T-A-1Discussion of some practical problems related to: definition of the statistical decision problem; distribution function of random variable; decision rule concept; a randomized decision rule; loss, cost, and risk functions; Bayes and minimax solutions of the decision problem; complete classes of decision rules; relation to von Neumann's theory of games; formulation and testing of statistical hypothesis; regression and correlation analysis.12
T-A-2Discussion of some practical problems related to: ordering and ranking of performance between decision functions; admissibility; admissible decision functions, inadmissible decision functions; feasible and admissible risk functions; Pareto domination; Pareto frontier; Bayes optimality; minimaxity; some relationships between the concepts of admissibility, Bayes optimality, and minimaxity; solution methods of optimization problems of statistical decisions.12
T-A-3Evaluation of practical competence.6
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Definition of the statistical decision problem; distribution function of random variable; decision rule concept; a randomized decision rule; loss, cost, and risk functions; Bayes and minimax solutions of the decision problem; complete classes of decision rules; relation to von Neumann's theory of games; formulation and testing of statistical hypothesis; regression and correlation analysis; discussion of some special cases.14
T-W-2Ordering and ranking of performance between decision functions; admissibility; admissible decision functions, inadmissible decision functions; feasible and admissible risk functions; Pareto domination; Pareto frontier; Bayes optimality; minimaxity; some relationships between the concepts of admissibility, Bayes optimality, and minimaxity; solution methods of optimization problems of statistical decisions; discussion of some special cases.14
T-W-3Evaluation 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 and projects.52
A-A-3Preparation to skills evaluation.5
87
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Class participation and active engagement.30
A-W-2Own study of the literature.23
A-W-3Preparation to the knowledge evaluation.10
63
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTMiT_1-_??_W01Upon successful completion of this course, the students will be prepared to apply optimization methods as well as modern statistical decision theory and statistical methods to design, development and operational evaluation of engineering objects and systems.
Cel przedmiotuC-1A objective of the course is give to students of modern methods for the best possible use of the observations for purposes of statistical test and estimation procedures as well as optimal decision-making in the final.
Treści programoweT-W-1Definition of the statistical decision problem; distribution function of random variable; decision rule concept; a randomized decision rule; loss, cost, and risk functions; Bayes and minimax solutions of the decision problem; complete classes of decision rules; relation to von Neumann's theory of games; formulation and testing of statistical hypothesis; regression and correlation analysis; discussion of some special cases.
T-W-2Ordering and ranking of performance between decision functions; admissibility; admissible decision functions, inadmissible decision functions; feasible and admissible risk functions; Pareto domination; Pareto frontier; Bayes optimality; minimaxity; some relationships between the concepts of admissibility, Bayes optimality, and minimaxity; solution methods of optimization problems of statistical decisions; discussion of some special cases.
Metody nauczaniaM-1Lectures
Sposób ocenyS-1Ocena formująca: Student attendance and participation in class sessions play a vital role in successful course completion.
S-2Ocena podsumowująca: Students will be expected to complete written tests, projects and homework assignments as specified by the teacher.
Kryteria ocenyOcenaKryterium oceny
2,0Failing, Students performing at this level demonstrate no evidence of the knowledge, skills, and practices embodied by the course assessed at their grade level. The range for the grade of 2.0 is from 0% to 50% of the total possible score (100%).
3,0Students performing at this level demonstrate a minimal command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.0 is from 51% to 60% of the total possible score (100%).
3,5Students performing at this level demonstrate a beginning command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.5 is from 61% to 70% of the total possible score (100%).
4,0Students performing at this level demonstrate a developing command of the knowledge, skills, and practices embodied by the course at their grade level. The range for the grade of 4.0 is from 71% to 80% of the total possible score (100%).
4,5Students performing at this level demonstrate a moderate command of the knowledge, skills, and practices embodied by the course. Students at this level are approaching the standards at their grade level. The range for the grade of 4.5 is from 81% to 90% of the total possible score (100%).
5,0Students performing at this level demonstrate a distinguished and strong command of the knowledge, skills, and practices embodied by the course. Students at this level are meeting or extending the standards at their grade level. The range for the grade of 5.0 is from 91% to 100% of the total possible score (100%).
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTMiT_1-_??_U01The ability to use the acquired knowledge to solve practical problems.
Cel przedmiotuC-1A objective of the course is give to students of modern methods for the best possible use of the observations for purposes of statistical test and estimation procedures as well as optimal decision-making in the final.
Treści programoweT-A-1Discussion of some practical problems related to: definition of the statistical decision problem; distribution function of random variable; decision rule concept; a randomized decision rule; loss, cost, and risk functions; Bayes and minimax solutions of the decision problem; complete classes of decision rules; relation to von Neumann's theory of games; formulation and testing of statistical hypothesis; regression and correlation analysis.
T-A-2Discussion of some practical problems related to: ordering and ranking of performance between decision functions; admissibility; admissible decision functions, inadmissible decision functions; feasible and admissible risk functions; Pareto domination; Pareto frontier; Bayes optimality; minimaxity; some relationships between the concepts of admissibility, Bayes optimality, and minimaxity; solution methods of optimization problems of statistical decisions.
Metody nauczaniaM-2Exercises
Sposób ocenyS-1Ocena formująca: Student attendance and participation in class sessions play a vital role in successful course completion.
S-2Ocena podsumowująca: Students will be expected to complete written tests, projects and homework assignments as specified by the teacher.
Kryteria ocenyOcenaKryterium oceny
2,0Failing, Students performing at this level demonstrate no evidence of the knowledge, skills, and practices embodied by the course assessed at their grade level. The range for the grade of 2.0 is from 0% to 50% of the total possible score (100%).
3,0Students performing at this level demonstrate a minimal command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.0 is from 51% to 60% of the total possible score (100%).
3,5Students performing at this level demonstrate a beginning command of the knowledge and/or skills embodied by the course assessed at their grade level. The range for the grade of 3.5 is from 61% to 70% of the total possible score (100%).
4,0Students performing at this level demonstrate a developing command of the knowledge, skills, and practices embodied by the course at their grade level. The range for the grade of 4.0 is from 71% to 80% of the total possible score (100%).
4,5Students performing at this level demonstrate a moderate command of the knowledge, skills, and practices embodied by the course. Students at this level are approaching the standards at their grade level. The range for the grade of 4.5 is from 81% to 90% of the total possible score (100%).
5,0Students performing at this level demonstrate a distinguished and strong command of the knowledge, skills, and practices embodied by the course. Students at this level are meeting or extending the standards at their grade level. The range for the grade of 5.0 is from 91% to 100% of the total possible score (100%).
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTMiT_1-_??_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-1A objective of the course is give to students of modern methods for the best possible use of the observations for purposes of statistical test and estimation procedures as well as optimal decision-making in the final.
Treści programoweT-A-1Discussion of some practical problems related to: definition of the statistical decision problem; distribution function of random variable; decision rule concept; a randomized decision rule; loss, cost, and risk functions; Bayes and minimax solutions of the decision problem; complete classes of decision rules; relation to von Neumann's theory of games; formulation and testing of statistical hypothesis; regression and correlation analysis.
T-A-2Discussion of some practical problems related to: ordering and ranking of performance between decision functions; admissibility; admissible decision functions, inadmissible decision functions; feasible and admissible risk functions; Pareto domination; Pareto frontier; Bayes optimality; minimaxity; some relationships between the concepts of admissibility, Bayes optimality, and minimaxity; solution methods of optimization problems of statistical decisions.
T-A-3Evaluation of practical competence.
Metody nauczaniaM-1Lectures
M-2Exercises
Sposób ocenyS-1Ocena formująca: Student attendance and participation in class sessions play a vital role in successful course completion.
S-2Ocena podsumowująca: Students will be expected to complete written tests, projects and homework assignments as specified by the teacher.
Kryteria ocenyOcenaKryterium oceny
2,0Students performing at this level demonstrate no evidence of increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
3,0Acceptable student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
3,5Below average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
4,0Average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
4,5Above average student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.
5,0Oustending student's achivements in increased social and emotional skills, improved attitude toward self and others, improved positive social behaviors, decreased conduct problems and emotional distress.