Course unit, curriculum year 2023–2024
BBT.INT.811
Models of Gene Networks, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Course code
BBT.INT.811Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Andre Sanches RibeiroResponsible organisation
Faculty of Medicine and Health Technology 100 %
Coordinating organisation
MET Studies 100 %
Core content
- Stochastic Modeling of Gene Networks, Older Models, Noise in Gene Expression, and the Stochastic Simulation Algorithm. Examples and Applications.
- Delays in Gene Expression. The Delayed Stochastic Simulation Algorithm. Examples and Applications.
- Stochastic Models of Gene Expression subject to regulation and coupling with other processes, including cell division and intake of external elements. Examples and Applications.
- Models of Small Genetic Circuits and external factors. Examples and Applications.
- Models of Coupled Genetic Circuits. Large genetic circuits, Boolean Networks, Attractors and Ergodic Sets. Examples and Applications.
- Single-gene Models at the Nucleotide Level. Supercoiling buildup. Examples of the models.
Learning outcomes
Prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
a) Exercises (must complete at least 50% of exercise points. 80% gives bonus of 0.5). Exercises solutions can be delivered until the day preceding the next exercise lecture. b) Final exam (50% of the final grade). c) Project work (50% of the final grade). d) Short summary (1-5 lines) of the lecture, to be delivered at the end of each lecture. The grade of each summary is: PASS/FAIL. If 3 or more summaries have PASS grade, the student gets a bonus of 0.5 in the final grade. Additionally, a passing grade must be achieved in project, exam, and exercises in order to pass the course. Grading: 0 to 5 (0 fails, 1 to 5 passes). 2.5 from exam, 2.5 from project, 0.5 bonus for good performance in exercises, and 0.5 bonus for good performance lecture summaries.
Completion of all options is required.
Exam
No scheduled teaching
Participation in teaching
No scheduled teaching