Statystyka matematyczna-przedmiot oferowany w języku angielskim
Informacje ogólne
| Kod przedmiotu: | 0300-MS2-1STM#E | Kod Erasmus / ISCED: | (brak danych) / (brak danych) |
| Nazwa przedmiotu: | Statystyka matematyczna-przedmiot oferowany w języku angielskim | ||
| Jednostka: | Zakład Polityki Regionalnej i Zarządzania Projektami | ||
| Grupy: |
2L stac. II st. studia międzynarodowych stosunków gospodarczych - przedmioty obowiązkowe |
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| Punkty ECTS i inne: |
6.00   zobacz reguły punktacji |
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| Język prowadzenia: | angielski | ||
| Rodzaj przedmiotu: | obowiązkowe |
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| Wymagania (lista przedmiotów): | Matematyka - przedmiot oferowany w języku angielskim 0300-MS1-1MAT#E |
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| Założenia (lista przedmiotów): | Matematyka - przedmiot oferowany w języku angielskim 0300-MS1-1MAT#E |
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| Założenia (opisowo): | Mathematics in the field of: differential and integral calculus of functions of one variable; linear algebra Probability theory: secondary school level; Descriptive statistics in the field of: structure analysis (average measures, variability, asymmetry), analysis of relationships between variables. |
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| Tryb prowadzenia przedmiotu: | w sali |
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| Skrócony opis: |
Developing knowledge and skills in the field of designing and conducting statistical surveys in accordance with statistical inference standards. After completing the course, students should have a basic knowledge of statistical inference methods and the ability to apply these methods in practice. Elements of probability theory: discrete and continuous variables, probability distributions, joint, boundary and conditional distributions. Simple random sample, elements of point and interval estimation theory and hypothesis verification. |
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| Pełny opis: |
Educational profile: general academic Form of study: stationary Course type: obligatory, primary course Field and discipline of science: field: mathematical sciences; discipline: mathematics Year/semester: 1 year/1 semester Prerequisites: 0300-MS1-1MAT#E Mathematics, 0300-MS1-1STA#E Economic Statistics Number of didactic hours: 15 hours - lecture, 30 hours - classes Teaching methods: Traditional lecture conducted with the use of multimedia presentations, practical and activating methods (individual work, group work) The general form of passing the course: passing classes + exam ESTS points: 6 Student workload balance: participation in lectures - 15 hours participation in classes - 30 hours participation in consultations hours - 4 hours doing homework - 10 hours preparation for classes - 36 hours preparation for the test - 25 hours preparation for the exam and participation in the exam - 30 hours The total student workload - 150 hours Quantitative indicators Student workload related to the course: Number of hours / ECTS points requiring direct teacher participation: 50/2 of a practical nature: 105/4,2 |
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| Literatura: |
Ostasiewicz K. A., Mathematical statistics, Publishing House of Wrocław University of Economics, Wrocław 2014. Michna Z., Statistics, Publishing House of Wrocław University of Economics, Wroclaw 2014. |
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| Efekty uczenia się: |
KNOWLEDGE 1STM_W01: Knows the concept, properties, basic parameters and selected distributions of random varaible. M2_W06 1STM_W02: Knows the distribution of basic statistics from the sample, point and interval estimation methods, and selected significance tests. M2_W06 SKILLS 1STM_U01: Is able to design and conduct statistical research in accordance with statistical inference standards. M2_U04 1STM_U02: Is able to interpret results and infer about the population based on results from a random sample. M2_U04 SOCIAL COMPETENCE 1STM_K01: Is able to individually expand knowledge and skills in mathematical statistics. M2_K06 |
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| Metody i kryteria oceniania: |
The condition of passing the course is to achieve assumed learning outcomes. Assessment methods of lectures: written or oral exam. Students who have completed the classes are allowed to take the exam. Assessment methods of classes: test and activity during the classes. Leaving the student more than 4 hours qualify to fail the subject. Completing the absences takes place during the teacher's consultation hours. |
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Zajęcia w cyklu "Rok akademicki 2018/19" (zakończony)
| Okres: | 2018-10-01 - 2019-06-30 |
 
 zobacz plan zajęć |
| Typ zajęć: |
Ćwiczenia, 30 godzin więcej informacji Wykład, 15 godzin więcej informacji |
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| Koordynatorzy: | Iwona Skrodzka | |
| Prowadzący grup: | Iwona Skrodzka | |
| Lista studentów: | (nie masz dostępu) | |
| Zaliczenie: |
Przedmiot -
Egzamin
Ćwiczenia - Zaliczenie na ocenę |
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| Rodzaj przedmiotu: | obowiązkowe |
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| Wymagania (lista przedmiotów): | Matematyka - przedmiot oferowany w języku angielskim 0300-MS1-1MAT#E |
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| Założenia (lista przedmiotów): | Matematyka - przedmiot oferowany w języku angielskim 0300-MS1-1MAT#E |
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| Skrócony opis: |
Developing knowledge and skills in the field of designing and conducting statistical surveys in accordance with statistical inference standards. After completing the course, students should have a basic knowledge of statistical inference methods and the ability to apply these methods in practice. Elements of probability theory: discrete and continuous variables, probability distributions, joint, boundary and conditional distributions. Simple random sample, elements of point and interval estimation theory and hypothesis verification. | |
| Pełny opis: |
Educational profile: general academic Form of study: stationary Course type: obligatory, primary course Field and discipline of science: field: mathematical sciences; discipline: mathematics Year/semester: 1 year/1 semester Prerequisites: 0300-MS1-1MAT#E Mathematics, 0300-MS1-1STA#E Economic Statistics Number of didactic hours: 15 hours - lecture, 30 hours - classes Teaching methods: Traditional lecture conducted with the use of multimedia presentations, practical and activating methods (individual work, group work) The general form of passing the course: passing classes + exam ESTS points: 6 Student workload balance: participation in lectures - 15 hours participation in classes - 30 hours participation in consultations hours - 4 hours doing homework - 10 hours preparation for classes - 36 hours preparation for the test - 25 hours preparation for the exam and participation in the exam - 30 hours The total student workload - 150 hours Quantitative indicators Student workload related to the course: Number of hours / ECTS points requiring direct teacher participation: 50/2 of a practical nature: 105/4,2 | |
| Literatura: |
Ostasiewicz K. A., Mathematical statistics, Wrocław University of Economics Publishing House, Wrocław 2014. Kowalczyk B., Witkowski B., Mathematical statistics for management, Warsaw School of Economics Publishing House, Warsaw 2015. Michna Z., Statistics, Wrocław University of Economics Publishing House, Wroclaw 2014. | |
Właścicielem praw autorskich jest Uniwersytet w Białymstoku.