Teaching Schedule
2016–2017
Archived teaching schedules 2016–2017
You are browsing archived teaching schedule. Current teaching schedules can be found here.
BIO2310
Mathematics and statistics for bioinformatics
4–8
ECTS
Implementation is also a part of open university teaching
Periods
Language of instruction
English
Type or level of studies
Basic studies
Course unit descriptions in the curriculum
Master's Degree Programme in Bioinformatics
BioMediTech
BioMediTech
Learning outcomes
After the course the student can:
- perform simple calculations of university-level mathematics on the course topics on pen and paper.
- explain some main principles of statistical testing and estimation.
- apply basic statistical testing and estimation in specific cases, selecting the methods according to the requirements set by data.
- use the R environment as a simple calculator and a visualization tool for basic presentation of functions and data.
- use the R environment to perform basic statistical testing and estimation, simulate data from simple probabilistic models and calculate and analyze estimates from data.
Enrolment for University Studies
Enrolment time has expired
Teachers
Juha Kesseli, Teacher responsible
Juha.Kesseli[ät]uta.fi
Nina Talola, Teacher
nina.talola[ät]uta.fi
Teaching
8-Sep-2016
–
15-Dec-2016
Lectures 36 hours
Lectures
Thu 8-Sep-2016 - 20-Oct-2016 weekly at 12-15, Arvo LS A308
Exceptions:
Exceptions:
29-Sep-2016
at 12
–15
, No lecture!
Thu 27-Oct-2016 - 15-Dec-2016 weekly at 10.00-11.30, Arvo F212
Exceptions:
Exceptions:
3-Nov-2016
at 10
–11.30
, Arvo F217, Note! Exceptional place!
17-Nov-2016
at 10
–11.30
, Arvo F217, Note! Exceptional place!
1-Dec-2016
at 10
–11.30
, Arvo F217, Note! Exceptional place!
Wed 2-Nov-2016 - 7-Dec-2016 weekly at 10.00-11.00, Arvo A207, Note! New teaching place!
Exercises 28 hours
Exercises
Fri 9-Sep-2016 - 16-Dec-2016 weekly at 10-12, Arvo Computer classroom ML72
Exceptions:
Exceptions:
14-Oct-2016
at 15
–17
, Computer classroom Arvo ML 72, Note! Exceptional time!
Evaluation
Numeric 1-5.
Evaluation criteria
Exam and exercises.
Further information
Recommended time of study in the first year of the programme.