3 ECTS credits
78 h study time

Offer 1 with catalog number 4005941ENR for all students in the 1st and 2nd semester at a (E) Master - advanced level.

Semester
1st and 2nd 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 Sciences and Bioengineering Sciences
Department
Bio-Engineering Sciences
Educational team
Dominique Maes (course titular)
Activities and contact hours

26 contact hours Lecture
Course Content

Mathematics

Functions of a real variable: exponents, logarithms, scientific notation.
The derivative as a rate of change and the Rieman integral of a function.


Statistics
Statistics and scientific practice.
Exploratory data analysis.
Probability and distributions.
Descriptive statistics.
Correlation, regression
Significance testing: paired and unpaired t-test

Course material
Digital course material (Required) : Notes., Learning platform
Handbook (Recommended) : Croft and Davison: "Foundation Maths" (edited by Pearson), Samuels and Witmer, 7de, Bib van IPMB, 9781292289687, 2020
Handbook (Recommended) : Samuels and Witmer: "Statistics for the Life Sciences" (edited by Pearson), Samuels - Witmer - Schaffner, 5de, Pearson, 9780133940787, 2016
Additional info

 
Notes and ppt-presentation will be available.

For the Matematics part of the course the following book will be used:
Croft and Davison: "Foundation Maths" (edited by Pearson)

For the Statistics part of the course the following book will be used:
Samuels and Witmer: "Statistics for the Life Sciences" (edited by Pearson)


Complementary study material:
Causton, D. R., A biologist's basic mathematics, (1983) Contemporary Biology
Spiegel, M. R., Advanced calculus - SI (metric edition)
Theory and problems, (1962) Schaum's Outline series - Mc Graw-Hill book
company
Lang, S., A first course in calculus,  (1986) Springer-Verlag, New York
Gilbert, N., Biometrical Interpretation. Making Sense of Statistics in Biology,         2nd. ed., (1989) Oxford University press, New York
Bulmer, M.G. , Principles of statistics, (1979) Dover publication, New York

Learning Outcomes

Algemene competenties

The mathematical part of this course is meant to refresh some basic calculus.  It is expected that students with a minimum of mathematical background would acquire sufficient theoretical concepts and tools to tackle simple mathematical problems in biology and chemistry. 
Many students use techniques generating data, without exactly knowing how to analyze the results statistically.  This is why a mathematical introduction is useful, to make and understand graphical representations of results and to test hypothesis.  A part of this course will deal with the statistical processing of data and aims at developing a responsible attitude towards statistics so that the student will avoid its uncritical application.

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:

  • Mathematics with a relative weight of 1 which comprises 50% of the final mark.
  • Statistics with a relative weight of 1 which comprises 50% of the final mark.

Additional info regarding evaluation

Written examination

 

Since the course consists of different subcourses, i.e. Mathematics (50%) and Statistics (50%), exams have to be taken on each subcourse. The final mark is calculated as the weighted average of the marks of the subcourses.  In case a mark of one of the subcourses below 10 is obtained, the mark of the course as a whole is set to 9 when the average is higher, while the real average is given when it is lower than 9. 

 

Partial marks for Mathematics, if the student obtains at least half of the score fort his part, are transferred to the second session. The student can relinquish his partial mark for Mathematics, provided he reports this to the lecturer by e-mail not later than August 15. Once the student has indicated that he will abandon his partial mark, he will irrevocably lose the partial mark.

Partial marks for Statistics, if the student obtains at least half of the score fort his part, are transferred to the second session. The student can relinquish his partial mark for Statistics, provided he reports this to the lecturer by e-mail not later than August 15. Once the student has indicated that he will abandon his partial mark, he will irrevocably lose the partial mark.

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Master of Molecular Biology: Standaard traject