##1. Introduction to health informatics
Course objectives At the end of this course, students will have realized the importance of data and data analysis in medicine, medical laboratory and health promotion. In addition, students will have developed a good understanding of how medical technologists can help improve data quality and apply data analytics to promote health.
###Course description
###Course syllabus
###Recommended background
###Course format
- Lecture
- Field trip
- Online course
###Credit 2
##2. Data management and administration
###Course objectives At the end of this course, students will have developed a good understanding of several different types of database system and how to choose a system that is most suitable for their data storage or data analysis. Students will also have developed skills for setting up and managing several different database systems and how to retrieve and export data for data analysis in different formats.
###Course description Students will learn about database systems and how to store data permanently, retrieve and manage data with several databases including
###Course syllabus
###Recommended background
- Basic computer skills from module 3 or equivalent
###Course format
- Lecture
- Hands-on workshop
- Online course
###Credit 4
##3. Computer tools and skills
###Course objectives At the end of this course, students will have developed computer skills essential for data preprocessing, data analysis and data mining using machine learning as well as computer tools for interactive computing. Skills trained in this course will be geared toward handling and analysing big data, reproducible research and remote collaboration.
###Course description Students will learn basic command line tools and Python and R, two popular scripting languages for scientific computing. Students will also learn to analyze data interactively using IPython and R studios.
###Course syllabus
###Recommended background
###Course format
- Lecture
- Hands-on workshop
###Credit 5
##4. Individual and population health
###Course objectives
###Course description
###Course syllabus
###Recommended background
###Course format
- Lecture
- Online course
###Credit 3
##5. Communication for collaboration
###Course objectives At the end of this course, students will have familiarized themselves with open source and free online tools for sharing data, code and communicating results and ideas amongst peers from different laboratories or institutions. Students will also have developed skills in data visualization and presentation.
###Course description
###Course syllabus
###Recommended background
###Course format
- Lecture
- Hands-on workshop
- Presentation
###Credit 2