Administracja Centralna Uczelni - Wymiana międzynarodowa (S2)
Sylabus przedmiotu Data Analysis, Interpretation and Presentation:
Informacje podstawowe
| Kierunek studiów | Wymiana międzynarodowa | ||
|---|---|---|---|
| Forma studiów | studia stacjonarne | Poziom | drugiego stopnia |
| Tytuł zawodowy absolwenta | |||
| Obszary studiów | — | ||
| Profil | |||
| Moduł | — | ||
| Przedmiot | Data Analysis, Interpretation and Presentation | ||
| 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
Wymagania wstępne
| KOD | Wymaganie wstępne |
|---|---|
| W-1 | Fundamentals of probability theory. |
Cele przedmiotu
| KOD | Cel modułu/przedmiotu |
|---|---|
| C-1 | To give relevant skills to presentation and analysis of collected data for research, commercial, industrial and marketing activities as well as professional practices. |
Treści programowe z podziałem na formy zajęć
| KOD | Treść programowa | Godziny |
|---|---|---|
| ćwiczenia audytoryjne | ||
| T-A-1 | The solution of exercises related to issues discussed during lectures. | 28 |
| T-A-2 | Skills evaluation. | 2 |
| 30 | ||
| wykłady | ||
| T-W-1 | Elements of statistics: cases, variables, types of variables; matrix and frequency table; graphs and shapes of distributions; mode, median and mean; range, interquartile range and box plot, variance and standard deviation; Z-scores; contingency table, scatterplot, Pearson’s r; basics of regression; elementary probability; random variables and probability distributions (Normal Distribution, Binomial Distribution & Poisson Distribution). | 4 |
| T-W-2 | Inferential statistics: observational studies and experiments; sample and population, population distribution, sample distribution and sampling distribution; Central Limit Theorem; point estimates, confidence intervals, introduction to hypothesis testing. | 4 |
| T-W-3 | Measures of distribution shape: skewness and kurtosis. Skewness and kurtosis application to normality test. | 2 |
| T-W-4 | How to use statistics to identify outliers in data (what are outliers and how to deal with them?): what are the outliers, types of outliers, most common causes of outliers on a data set (data entry errors(human errors), measurement errors (instrument errors), experimental errors (data extraction or experiment planning/executing errors), intentional (dummy outliers made to test detection methods), data processing errors (data manipulation or data set unintended mutations), sampling errors (extracting or mixing data from wrong or various sources), natural (not an error, novelties in data)). | 4 |
| T-W-5 | Some of the most popular methods for outlier detection (Z-score or extreme value analysis, probabilistic and statistical modelling, linear regression models, proximity based models, information theory models, high dimensional outlier detection methods). | 4 |
| T-W-6 | Evaluation of the uncertainty of measurement: measurant, uncertainty of measurement and measurement error, systematic and random errors (uncertainties), uncertainty of measurement and GUM terminology (Evaluation of Measurement Data - Guide to the Expression of uncertainty in measurement; usually referred to as the GUM), type a and type b uncertainties, degrees of freedom and uncertainty in the uncertainty, functional relationships, input and output quantities, propagation of uncertainty, uncertainty components when the inputs are uncorrelated, uncertainty components when the inputs are correlated, summary of procedure for determining the propagation of uncertainty, precision profile and uncertainty of measurement, rules for calculating uncertainty through functional relationships. | 4 |
| T-W-7 | How people interpret data visualization and presentation. How to interpret uncertainty in common forms of data visualizations. | 2 |
| T-W-8 | Statistical significance problem. | 2 |
| T-W-9 | Final comment. | 2 |
| T-W-10 | Evaluation of knowledge. | 2 |
| 30 | ||
Obciążenie pracą studenta - formy aktywności
| KOD | Forma aktywności | Godziny |
|---|---|---|
| ćwiczenia audytoryjne | ||
| A-A-1 | Class participation and active engagement for developing and refining students ability to critically and productively engage with the subjects being studied. | 30 |
| A-A-2 | Preparation of homeworks and exercises. | 70 |
| A-A-3 | Preparation to skills evaluation. | 5 |
| 105 | ||
| wykłady | ||
| A-W-1 | Participation in classes. | 30 |
| A-W-2 | Self study. | 34 |
| A-W-3 | Preparation to knowledge evaluation. | 10 |
| 74 | ||
Metody nauczania / narzędzia dydaktyczne
| KOD | Metoda nauczania / narzędzie dydaktyczne |
|---|---|
| M-1 | Lectures |
| M-2 | Exercises |
Sposoby oceny
| KOD | Sposób oceny |
|---|---|
| S-1 | Ocena formująca: Student attendance and participation in class sessions play a vital role in successful course completion. |
| S-2 | Ocena 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 się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
|---|---|---|---|---|---|---|
| WM-WTMiT_2-_WM-WTMiT_W01 To give relevant skills to presentation and analysis of collected data for research, commercial, industrial and marketing activities as well as professional practices. It helps in obtaining information from it as the raw data is non-comprehensive in nature. | — | — | C-1 | T-W-1, T-W-2, T-W-3, T-W-4, T-W-5, T-W-6, T-W-7, T-W-9 | M-1 | S-1, S-2 |
Zamierzone efekty uczenia się - umiejętności
| Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
|---|---|---|---|---|---|---|
| WM-WTMiT_2-_WM-WTMiT_U01 The ability to use the acquired knowledge to solve practical problems. | — | — | C-1 | T-A-1 | M-2 | S-1, S-2 |
Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne
| Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
|---|---|---|---|---|---|---|
| WM-WTMiT_2-_WM-WTMiT_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-1 | T-A-1 | M-1, M-2 | S-1, S-2 |
Kryterium oceny - wiedza
| Efekt uczenia się | Ocena | Kryterium oceny |
|---|---|---|
| WM-WTMiT_2-_WM-WTMiT_W01 To give relevant skills to presentation and analysis of collected data for research, commercial, industrial and marketing activities as well as professional practices. It helps in obtaining information from it as the raw data is non-comprehensive in nature. | 2,0 | Failing, 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%). |
| 3,0 | Acceptable, Students 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%). | |
| 3,5 | Below Average, Students 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%). | |
| 4,0 | Average, Students 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%). | |
| 4,5 | Above Average, Students 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%). | |
| 5,0 | Outstanding, Students 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 się | Ocena | Kryterium oceny |
|---|---|---|
| WM-WTMiT_2-_WM-WTMiT_U01 The ability to use the acquired knowledge to solve practical problems. | 2,0 | Failing, 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%). |
| 3,0 | Acceptable, Students 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%). | |
| 3,5 | Below Average, Students 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%). | |
| 4,0 | Average, Students 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%). | |
| 4,5 | Above Average, Students 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%). | |
| 5,0 | Outstanding, Students 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 się | Ocena | Kryterium oceny |
|---|---|---|
| WM-WTMiT_2-_WM-WTMiT_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 | Students 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. |
| 3,0 | Acceptable 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. | |
| 3,5 | Below 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. | |
| 4,0 | 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. | |
| 4,5 | Above 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. | |
| 5,0 | Oustending 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
- Grima P., Absolute Certainty and Other Fictions: The secrets of statistics, National Geographic, 2017, ISBN 978-84-473-8845-5
- Rumsey D.J., Statistics for Dummies, For Dummies, 2016, 2nd edition, ISBN 978-1119293521
- Rumsey D.J., Statistics II for Dummies, For Dummies, 2009, 1st edition, ISBN-13 978-0470466469
- EA, Expression of the Uncertainty of Measurement in Calibration, European co-operation for acreditation, 1999, EA-4/02
- NASA, Measurement Uncertainty Analysis Principles and Methods. NASA Measurement Quality Assurance Handbook – ANNEX 3, NASA, 2010, NASA Handbook, NASA-HDBK-8739.19-3
- Zilli M., A Practical Guide to the Calculation of Uncertainty of Measurement, The Open Toxicology Journal, 2013, 6, (Suppl 1, M3) 20-26, 2013
- Bell S., Measurement Good Practice Guide No. 11 (Issue 2). A Beginner’s Guide to Uncertainty of Measurement, National Physical Laboratory, Teddington, Middlesex, United Kingdom, 1999, ISSN 1368-6550
- Claus O. Wilke, Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures, O'Reilly Media, 2019, 1st Edition, ISBN 978-1492031086
- Lydia Denworth, A Significant Problem, Scientific American, 2019, 10
Literatura dodatkowa
- Harper W.M., Statistics, Longman Group UK Ltd, 1991, 6th edition, ISBN 978-0712118996
- Volk B., Applied Statistics for Engineers, Krieger Pub Co., 1980, 2nd edition, ISBN 978-0898740714