|
Home | Teaching | Research | Papers | Supervision | Positions
Teaching at AALTO/HUT and UFC
- Analysis and simulation of stochastic reaction-diffusion systems (Aalto - CHEM-LV03 | 2022)
- Advanced process control (Aalto - CHEM-E7165/7225 | 2020 | 2021 | 2022)
- Process dynamics and control (Aalto - CHEM-E7140/7190 | 2019 | 2020 | 2021)
- Topics in artificial intelligence (UFC - CK0146/0261, undergrad | 2016 | 2017 | 2019)
- Programming (UFC - CK0030, undergrad | 2017 | 2018 | 2019)
- Artificial intelligence (UFC - CK0031/0248, undergrad | 2016 | 2017 | 2018)
- Topics in machine learning (UFC - CK0255, undergrad | 2017 | 2018)
- Stochastic algorithms (UFC - CK0191, undergrad | 2018)
- Linear system theory (UFC - TIP7244, postgrad | 2018)
- Probability and random variables (UFC - TIP8241, postgrad | 2017)
- Pattern recognition (UFC - TIP8311, postgrad | 2015)
- System estimation and identification (UFC - TIP7048, postgrad | 2015)
- Information Visualization(HUT/Aalto - T-61.5010 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014)
- Multivariate Data Analysis for Chemometrics (HUT - T-61.6050 | 2008)
- Introductory Elements of Functional Data Analysis (HUT - T-61.6030 | 2007)
- Nonlinear Dimensionality Reduction (HUT - T-61.6050 | 2007)
Intensive at AALTO/HUT/UNICA
- Chemometric data analysis: Fundamental methods, a series of lectures designed for the course `Advances in crystallization and crystal characterization techniques' (Aalto | 2020)
- Linear Methods for Quantitative Analysis in Light Spectroscopy, a series of lectures designed with Elia Liitiäinen to the course `High-throughput bioinformatics' (HUT - T-61.5050, 2007). The course was organized by Janne Nikkilä, Petri Auvinen< and Leo Lahti
- Workshop on Functional Data Analysis, a series of lectures by Prof. Jim Ramsay (HUT - T-61.6900 | 2008). The course was organized jointly with Timo Hurme and Elia Liitiäinen
- Data-derived methods for process monitoring and supervision (UNICA | 2012)
- Nonlinear dimensionality reduction (UNICA | 2011)
April 2021.
|