3 ECTS credits
90 h study time

Offer 1 with catalog number 4015754DNR for all students in the 1st semester at a (D) Master - preliminary level.

Semester
1st semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Taught in
English
Partnership Agreement
Under interuniversity agreement for degree program
Faculty
Faculty of Science and Bio-engineering Sciences
Department
Biology
Educational team
Marc ELSKENS (course titular)
Activities and contact hours
13 contact hours Lecture
20 contact hours Seminar, Exercises or Practicals
13 contact hours Independent or External Form of Study
Course Content
  1. Theory
    1. Explanatory data analysis
    2. Data distribution functions and transformations.
    3. Univariate analysis and significance testing
  1. Exercises with computer
    1. Practical application of concepts and methods shown in the course
Course material
Digital course material (Required) : Mathematics & Basic Statistics, Courses notes and powerpoint presentation shown during the lectures will be available on VUB-Pointcarre, Learning platform
Handbook (Recommended) : Statistics & Chemometrics for Analytical Chemistry, Miller and Miller, Fifth Edition, Prentice Hall, 9780131291928, 2005
Handbook (Recommended) : Calculus with analytical Geometry, Edwards and Penney, Fourth Edition, Prentice Hall, 9780130920713, 2002
Additional info

Notes consisting of the slides shown during the lectures and specific research papers
will be available via the learning platform (VUB).

Complementary study material

Books available in the library of AMGC research unit.: Statistics and Chemometrics for Analytical Chemistry ISBN-13: 978-0273730422.

For further information please contact Marc Elskens (melskens@vub.be)

 

Learning Outcomes

General competences

This course is about how to extract information from data and how informative data are generated. A selection of practical statistical and mathematical methods are applied to the kinds of problems encountered when studying environmental data. More specifically we want the students to develop a critical appreciation for the tasks of:

  • Selecting / designing optimal experimental procedures
  • Understanding, assessing and interpreting research results
  • Promoting critical judgments in data analysis, model and method development
  • Solving analytical problems in a quantitative manner with the aid of the spreadsheet EXCEL

Grading

The final grade is composed based on the following categories:
Written Exam determines 100% of the final mark.

Within the Written Exam category, the following assignments need to be completed:

  • Theory + Exercise with a relative weight of 1 which comprises 100% of the final mark.

    Note: 4 questions

Additional info regarding evaluation

Written open-book examination containing resolution of exercises and open theoretical questions. The exam takes place over a period of 3 hrs and requires the use of a computer. A written report summarizing the results/answers and the methodology is requested at the end of the examination.

Academic context

This offer is part of the following study plans:
Master of Marine and Lacustrine Science and Management: Standaard traject