SGN-54106 Computational Diagnostics, 5 cr
Toteutuskerta SGN-54106 2019-01
Kuvaus
After completing the course, the student gained a basic understanding of the definition and the meaning of computational diagnostics and its utility for data science. Case studies will be discussed illustrating the interplay between computational and statistical methods that are applied to large-scale and high-dimensional data sets from genomic and genetic experiments. Moreover, the student will learn how to practically approach such problems by using the statistical programming language R. In general, the course teaches statistical thinking in the context of data science problems, i.e., the adaptation of machine learning methods in a problem specific manner.
Opetus
Periodi |
4
|
Opetusmuodot |
Luento, Tentti, Harjoitukset |
Vastuuhenkilö |
Frank Emmert-Streib, Aliyu Musa |
Arvosteluasteikko
Numerical evaluation scale (0-5)
Suoritusvaatimukset
To complete the course, the student is required to (all three requirements must be completed to pass the course):
a) Execute the project work (20% of the final grade)
b) Execute the weekly exercises (1 per exercises lesson, 40% of the final grade)
c) Do the final exam (40% of the final grade)
Kohderyhmät
Automation Engineering/Machine Automation , Bioengineering/Science and Bioengineering , Biomedical Sciences and Engineering , DI- ja arkkitehtiopiskelijat , Industrial Engineering and Management/Business and Technology , Information Technology , International Students , Jatkotutkinto-opiskelijat , Science and Engineering, MSc (Tech)
Exam |
Mon 04.05.2020 |
13:00 - 16:00 |
Exam |
Mon 08.06.2020 |
17:00 - 20:00 |
SGN-54106 Computational Diagnostics/Lec/01 |
Mon 09.03.2020 |
12:00 - 14:00 |
SGN-54106 Computational Diagnostics/Lec/02 |
Wed 11.03.2020 |
14:00 - 16:00 |
SGN-54106 Computational Diagnostics/Lec/01 |
Mon 16.03.2020 |
12:00 - 14:00 |
SGN-54106 Computational Diagnostics/Lec/02 |
Wed 18.03.2020 |
14:00 - 16:00 |
SGN-54106 Computational Diagnostics/Lec/01 |
Mon 23.03.2020 |
12:00 - 14:00 |
SGN-54106 Computational Diagnostics/Lec/02 |
Wed 25.03.2020 |
14:00 - 16:00 |
SGN-54106 Computational Diagnostics/Lec/01 |
Mon 30.03.2020 |
12:00 - 14:00 |
SGN-54106 Computational Diagnostics/Lec/02 |
Wed 01.04.2020 |
14:00 - 16:00 |
SGN-54106 Computational Diagnostics/Lec/01 |
Mon 06.04.2020 |
12:00 - 14:00 |
SGN-54106 Computational Diagnostics/Lec/02 |
Wed 15.04.2020 |
14:00 - 16:00 |
SGN-54106 Computational Diagnostics/Lec/01 |
Mon 20.04.2020 |
12:00 - 14:00 |
SGN-54106 Computational Diagnostics/Lec/02 |
Wed 22.04.2020 |
14:00 - 16:00 |
SGN-54106 Computational Diagnostics/E/01 |
Fri 13.03.2020 |
10:00 - 12:00 |
SGN-54106 Computational Diagnostics/E/01 |
Fri 20.03.2020 |
10:00 - 12:00 |
SGN-54106 Computational Diagnostics/E/01 |
Fri 27.03.2020 |
10:00 - 12:00 |
SGN-54106 Computational Diagnostics/E/01 |
Fri 03.04.2020 |
10:00 - 12:00 |
SGN-54106 Computational Diagnostics/E/01 |
Fri 24.04.2020 |
10:00 - 12:00 |
Oppimateriaali
Tyyppi |
Nimi |
Tekijä |
ISBN |
Lisätiedot |
Kieli |
Tenttimateriaali |
Book |
An Introduction to Statistical Learning |
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani |
|
|
English |
No |
Book |
Statistics and Data Analysis for Microarrays Using R and Bioconductor |
Sorin Dr |
|
Introduction to the analysis of microarray data. |
English |
No |