JA0180 Methods of Maritime Transport Research Data Processing and Analysis

Code JA0180
Name Methods of Maritime Transport Research Data Processing and Analysis
Status Compulsory/Courses of Limited Choice
Level and type Post-graduate Studies, Professional
Field of study Maritime Transport
Faculty Latvian Maritime Academy
Academic staff Valdis Priednieks
Credit points 3.0
Parts 1
Annotation The study course deals with parametric, non-parametric and numerical procedures of statistical analysis of research data with emphasis on their practical implementation using computer programmes Excel and MINITAB..
Contents
Content Full- and part-time intramural studies Part time extramural studies
Contact hours Independent work Contact hours Independent work
Parametric methods: 1.1. Correlation. Significance of correlation coef. 1.2. Linear regression. Confidence intervals. 1.3. Multiple and nonlinear regression. 1.4. ANOVA. 10 0 3 0
Nonparametric methods: 2.1. x^2-tests. 2.2. Contingency tables. 2.3. Sign tests. 2.4. Wilcoxon signed-rank test. 2.5. Wilcoxon rank-sum test. 2.6. Mann-Whitney U-test. 2.7. Kruskal-Wallis test. 12 0 4 0
Numerical methods: 3.1. Bootstrap. 3.2. Monte Carlo. 3.3. Optimization (MS Excel, Solver). 3.4. Simulation (MS Excel, VBA). 10 0 3 0
Independent work task 1 0 24 0 35
Independent work task 2 0 24 0 35
Total: 32 48 10 70
Goals and objectives
of the course in terms
of competences and skills 		The aim of the study course is to prepare students for the development of research work. Tasks of the study course: - to provide knowledge about data explanatory statistical analysis methods applied in research work; - to develop student's skills in the practical application of data-explanatory statistical analysis methods.
Learning outcomes
and assessment 		Knowledge: - knows the application areas of statistical data analysis methods, tasks, and implementation algorithms; - understands the statistical nature of analysis results. - Methods: 1. Solution of individual tasks in the form of MS Excel workbook. 2. Presentation of independent works. Criteria: orientation in research data processing methods and results presentation forms.
Skills: - can apply statistical analysis methods using MS Excel and Minitab software in solving specific data processing tasks; - is able to design and verify research results - Methods: 1. Solution of individual tasks in the form of MS Excel workbook. 2. Presentation of independent works. Criteria: ability to independently organize and perform research work data processing and presentation of results.
Competences: - can formulate data analysis tasks and choose appropriate data processing methods independently; - is able to justify and defend the correctness of the chosen approach. - Methods: 1. Solution of individual tasks in the form of MS Excel workbook. 2. Presentation of independent works. Criteria: ability to autonomously formulate problem research tasks, choose appropriate solution methods and defend the results of the work.
Evaluation criteria of study results
Presentation of independent work No.1 - 30%
Presentation of independent work No.2 - 30%
Solution of individual tasks in form of MS Excel workbook - 40%
 
Course prerequisites MS Excel and MINITAB computer skills, study course LJA058 "Research Methodology".
Course planning
Part CP Hours Tests
Lectures Practical Lab. Test Exam Work
1 3.0 16.0 16.0 0.0 *
[Extended course information PDF]