After the course, the student can:
- Identify and define techniques used in modeling gene expression and gene regulatory networks. Demonstrate the accuracy of the models.
- Interpret data generated from the models, classify strengths and weaknesses of the modeling strategies, summarize results and explain the connection between models and native gene networks.
- Implement models, apply them to mimic experiments, and calculate statistical features associated to gene expression in cells. Apply the knowledge to construct models of engineered genetic circuits.
- Analyze results of simulations of models of gene networks. Compare different methodologies for verifying a hypothesis or measuring a variable using such models.
- Compare and appraise different computational models, and interpret conclusions using different models.
- Create and develop models of gene networks from experimental data, and use the models to address questions on the dynamics of gene networks and processes regulated by these networks, e.g., cell differentiation.

For more information on this course, see the TUT course description from 2015 (the new description for 2016 will be updated as soon as possible):

SGN-52406: http://www.tut.fi/wwwoppaat/opas2015-2016/perus/laitokset/Signaalinkasittely/SGN-52406.html