DS823: Biodemography, forecasting and population dynamics

Study Board of Science

Teaching language: Danish or English depending on the teacher
EKA: N340078102
Assessment: Second examiner: None
Grading: Pass/Fail
Offered in: Odense
Offered in: Autumn
Level: Master

STADS ID (UVA): N340078101
ECTS value: 3

Date of Approval: 16-05-2020


Duration: 1 semester

Version: Archive

Comment

Discontinued.

Entry requirements

A bachelor degree.

Academic preconditions

Requirements for this course are knowledge of basic statistics and mathematics. A basic knowledge of R software is also expected (a basic free online course on R is found in cousera: https://www.coursera.org/course/rprog)

Course introduction

This is an introductory course in biodemography. Lectures on biodemographic methodologies and are followed by hands-on exercises using relevant data sources. The course also includes recent methodologies and debates in population studies.

The course will give the student skills in biodemographic theory, methods and use. The course explicitly focus on

  • The link between demography and health science
  • Methodologies used in biodemography
  • Data analysis of data in a biodemographic perspective
  • As a data scientist knowledge on health data and their use is important. 
Generel competences:
  • Knowledge about the needs and opportunities of the specialization when working with and processing data
  • Competences in selecting, applying, and combining the right programming, statistics, and machine learning tools and methods to work with data relevant for the specialization
  • Skills in managing complex work and development situations in the areas of data processing and analysis as well as starting up and executing analyses

Expected learning outcome

  • To have a thorough understanding of rates and their importance in demography
  • To recognize the relevant settings for basic demographic methods.
  • To have knowledge of standard demographic data resources.
  • To be able to perform standard demographic analyses in R.
  • To be aware of standard pitfalls in demographic (health) research.

Content

This course sets out the basic skills and concepts that a data scientist should have when dealing with demographic data. We refresh the centrally important concept of rates, as well as the relationship of demography with statistics. We then turn to basic methods in demography, as well as basic data resources. We discuss basic demographic visualization tools and explore methods to deal with problematic data. Finally, we venture into some applications of demography, such as evolutionary demography and forecasting.

Literature

See itslearning for syllabus lists and additional literature references.

Examination regulations

Exam element a)

Timing

Autumn

Tests

Written essay

EKA

N340078102

Assessment

Second examiner: None

Grading

Pass/Fail

Identification

Full name and SDU username

Language

Normally, the same as teaching language

Duration

2 hours

Examination aids

Allowed. 

ECTS value

3

Additional information

The examination form for re-examination may be different from the exam form at the regular exam.

Indicative number of lessons

24 supervision hours in total

Teaching Method

There will be 8 lectures of 45 minutes followed by exercises designed to support the lectures. At the discretion of the lecturer, lectures and exercises may be mixed. Students are encouraged to send in their work for feedback.

Teacher responsible

Name E-mail Department
Maarten Jan Wensink mwensink@health.sdu.dk Epidemiologi, Biostatistik og Biodemografi (EBB)
Rune Lindahl-Jacobsen rjacobsen@health.sdu.dk Epidemiologi, Biostatistik og Biodemografi (EBB)
Silvia Rizzi srizzi@health.sdu.dk Interdisciplinary Centre on Population Dynamics

Additional teachers

Name E-mail Department City
Camilla Riis Nielsen crnielsen@health.sdu.dk Epidemiologi, Biostatistik og Biodemografi (EBB)
Linda Juel Ahrenfeldt lahrenfeldt@health.sdu.dk Epidemiologi, Biostatistik og Biodemografi (EBB)
Martina Otavova motavova@health.sdu.dk IST - EBB/Epidemiologi, Biostatistik og Biodemografi

Timetable

Administrative Unit

Institut for Matematik og Datalogi (datalogi)

Team at Educational Law & Registration

NAT

Offered in

Odense

Recommended course of study

Profile Education Semester Offer period