Special Topics in Data Analytics Ι
| Title | Ειδικά Θέματα Αναλυτικής Δεδομένων Ι / Special Topics in Data Analytics Ι |
| Code | ΜΙΣΤΒ007 |
| Faculty | Health Sciences |
| School | Medicine |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Spring |
| Coordinator | Anna-Bettina Haidich |
| Common | No |
| Status | Active |
| Course ID | 600020028 |
Programme of Study: PPS Health Statistics and Data Analytics (2020-today)
Registered students: 27
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Compulsory Course | 2 | 1 | 7.5 |
| Academic Year | 2024 – 2025 |
| Class Period | Spring |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600260150
|
Course Type 2021
Skills Development
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600260150
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=15596
Language of Instruction
- Greek (Instruction)
- English (Instruction, Examination)
Prerequisites
Required Courses
- ΜΙΣΤΑ001 Introduction to Data Analytics
- ΜΙΣΤΑ002 Basic Principles of Statistics
- ΜΙΣΤΑ004 Linear Models
Learning Outcomes
Upon completion of the course, students will know the basic principles of environmental epidemiology, and will be able to apply the appropriate methodology for the analysis of environmental data.
Knowledge
Upon successfully completing this course, students will be familiar with:
• The basic principles of environmental epidemiology
• The specific content and analytical needs of research on the effects of macro-environmental factors on health.
• The basic concepts around data analysis in environmental epidemiology using Geographic Information Systems (GIS)
• The application of Poisson models for the analysis of epidemiological time series with application in environmental epidemiology
• Time-series analysis in the statistical package R
Capacities
The course participants upon completion will be able to:
• Know how research is planned and conducted on the health effects of environmental factors (such as exposure to air pollution, noise or climate change parameteres) and evaluate the related population attributable burden
• Assess related literature and recognize emerging issues in the research community and among environmental policy makers.
• Collect, process, analyze and display geospatial data and use them in exposure assessment or epidemiological statistical models.
• Apply Poisson models for the analysis of epidemiological time series using a variety of approaches to control for possible confounding factors
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
Course Content (Syllabus)
1. Introduction to environmental epidemiology and related study designs
2. Introduction to time-series analysis in environmental epidemiology
3. Poisson epidemiological models and methods (parametric and non-parametric) to adjust for potential confounders
4. Model selection criteria
5. Approaches for modeling time-lag structures
6. Methods for investigating exposure response relationships
7. Special issues in Environmental epidemiology.
Keywords
environmental epidemiology, time-series
Educational Material Types
- Notes
- Slide presentations
- Video lectures
- Multimedia
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 45 | ✓ | |||
| Laboratory Work | 60 | ✓ | |||
| Reading Assigment | 20 | ✓ | |||
| Exams | 65 | ✓ | |||
| Total | 190 |
Student Assessment
Description
Weekly quiz, with multiple choice questions
Assessment based on comments submitted by each student in online discussion for a
Final exam with multiple choice questions
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative)
- Written Exam with Problem Solving (Formative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Additional bibliography for study
1. Peng Roger D, Dominici Francesca. Statistical Methods for Environmental Epidemiology with R. A Case Study in Air Pollution and Health. 2008. Springer Ed.
2. Duncan C. Thomas. Statistical Methods in Environmental Epidemiology. Oxford University Press, 2009
Last Update
16-06-2022
