CoSCo Teaching

Teaching

» Complex Systems Computation Group CoSCo

Ongoing courses related to CoSCo research

Proof Theory and Proof Search (Sara Negri, Autumn 2002)
The Philosophy of Artificial Intelligence (in Finnish) (Pauli Salo, Autumn 2002)

Past courses

Three Concepts: Information (Henry Tirri, Spring 2002)
An Introduction to Kolmogorov Complexity and its Applications (Paul Vitanyi, Spring 2002)
Research seminar on intelligent systems (Petri Myllymäki, Spring 2002)
Seminar on algorithmics and machine learning (Patrik Floréen, Spring 2002)
Lectures on Statistical Modeling Theory (Jorma Rissanen, Aug 2001)
Three Concepts: Probability (Henry Tirri, Spring 2001)
Research seminar on intelligent systems (Petri Myllymäki, Spring 2001)

Ongoing theses

Name Topic (Topic area) Degree

Tuomas Lepola Computational neuroscience PhD

Teemu Roos Developments in Minimum Description Length Principle and its applications PhD

Sami Perttu Topic to be decided PhD

Tommi Mononen Topic be decided PhD

Pekka Uronen Che PhD

Petri Nokelainen Bayesian modeling in professional growth (University of Tampere) PhD

Pertti Kuokkanen Bayesian Decision making in leadership processes PhLic

Hannes Wettig Bayesian empirics PhD

Jussi Lahtinen Bayesian visualization MSc

Petri Kontkanen Improving the predictive accuracy of the discrete Naïve Bayes classifier MSc

Tomi Silander Bayesian approach to data analysis PhD

Name	Topic (Topic area)	Degree
Tuomas Lepola	Computational neuroscience	PhD
Teemu Roos	Developments in Minimum Description Length Principle and its applications	PhD
Sami Perttu	Topic to be decided	PhD
Tommi Mononen	Topic be decided	PhD
Pekka Uronen	Che	PhD
Petri Nokelainen	Bayesian modeling in professional growth (University of Tampere)	PhD
Pertti Kuokkanen	Bayesian Decision making in leadership processes	PhLic
Hannes Wettig	Bayesian empirics	PhD
Jussi Lahtinen	Bayesian visualization	MSc
Petri Kontkanen	Improving the predictive accuracy of the discrete Naïve Bayes classifier	MSc
Tomi Silander	Bayesian approach to data analysis	PhD

Finished theses

Year Name Topic (Topic area) Degree

2002 Kimmo Valtonen Bayesian networks and information-theoretical modeling for the wild salmon (Salmo salar L.) parr and smolt populations of Gulf of Bothnia rivers MSc

2002 Marko Ikonen Supporting information retrieval by social navigation visualization MSc

2001 Tuomas Lepola On the computational power of pulsed neural networks MSc

Sami Mäkinen-Okubo Genetic programming for binpacking MSc

Teemu Tonteri A statistical modeling approach to location estimation MSc

Toni Rintala Predicting elevator call with Bayesian approaches MSc

Ari Rantanen Prediction of bakery products with machine learning methods MSc

2000 Tomi Päiväniemi Combining inference methods for Bayesian Networks MSc

Ilkka Autio Mapping real world environments with an autonomous robot MSc

Jari Kätsyri Intelligent cooperating agents: Robot soccer MSc

Teppo Heikurinen Comparison of approximate Bayesian network inference algorithms MSc

1999 Pekka Uronen Visualization of Bayesian networks MSc

1998 Tero Tuononen Anomaly detection in computer systems MSc

Pertti Kuokkanen Empirical estimation of prediction accuracy MSc

1997 Jan Täppinen Neural networks in financial applications MSc

Hannes Wettig Comparing Bayesian approaches to Missing Data Prediction (Universität zu Köln) MSc

Alberto de las Heras A solution to the resource allocation problem using some Tabu search techniques (Universitat Politecnica de Catalunya) MSc

1995 Seppo Mallenius Optimization of address coding in SDM memories MSc

Markus Huttunen Time series prediction with neural networks MSc

Year	Name	Topic (Topic area)	Degree
2002	Kimmo Valtonen	Bayesian networks and information-theoretical modeling for the wild salmon (Salmo salar L.) parr and smolt populations of Gulf of Bothnia rivers	MSc
2002	Marko Ikonen	Supporting information retrieval by social navigation visualization	MSc
2001	Tuomas Lepola	On the computational power of pulsed neural networks	MSc
	Sami Mäkinen-Okubo	Genetic programming for binpacking	MSc
	Teemu Tonteri	A statistical modeling approach to location estimation	MSc
	Toni Rintala	Predicting elevator call with Bayesian approaches	MSc
	Ari Rantanen	Prediction of bakery products with machine learning methods	MSc
2000	Tomi Päiväniemi	Combining inference methods for Bayesian Networks	MSc
	Ilkka Autio	Mapping real world environments with an autonomous robot	MSc
	Jari Kätsyri	Intelligent cooperating agents: Robot soccer	MSc
	Teppo Heikurinen	Comparison of approximate Bayesian network inference algorithms	MSc
1999	Pekka Uronen	Visualization of Bayesian networks	MSc
1998	Tero Tuononen	Anomaly detection in computer systems	MSc
	Pertti Kuokkanen	Empirical estimation of prediction accuracy	MSc
1997	Jan Täppinen	Neural networks in financial applications	MSc
	Hannes Wettig	Comparing Bayesian approaches to Missing Data Prediction (Universität zu Köln)	MSc
	Alberto de las Heras	A solution to the resource allocation problem using some Tabu search techniques (Universitat Politecnica de Catalunya)	MSc
1995	Seppo Mallenius	Optimization of address coding in SDM memories	MSc
	Markus Huttunen	Time series prediction with neural networks	MSc

University of Helsinki | Department of Computer Science | Helsinki Institute for Information Technology

cosco@hiit.fi