Nordic Informatics Network in the Agricultural Sciences

Reasoning under Uncertainty in Agriculture:

Bayesian Networks and Graphical Models

Structure

Each day will consist of lectures and computer exercises. In addition three days are reserved for project work, presentation and evaluation. The program below is preliminary.

Sunday 10 August:

Arrival
Accommodation
Coffee & sandwiches

Monday 11 August

Definition of Bayesian networks
Finn V. Jensen

9.00: Welcome and introduction to the course (Anders & Finn)
9.15-9.45: Lecture 1 ( Ch 1)
9.50-10.20: Lecture 2 (Ch1)
10.20-10.40: Coffee break
10.40-11.10: Lecture 3 (Ch1-2)
11.15-11.45: Introduction to Hugin
11.45–14.00: Self study and lunch
14.00–15.30: Exercises individually or in groups (supervisors commuting)
Exercises 1.3, 1.6, 1.7 I, 1.8, 1.9 (use Hugin), 1.10, 1.12, 1.13, 1.14, 2.6, 2.7
Coffee
15.30–16.15: Exercises and questions in plenum
16.35-17.20: Application 1 (Erik Jørgensen)
17.20- 24.00: Self study and dinner

Tuesday 12 August

Belief updating in Bayesian networks
Finn V. Jensen

9.00-9.30: Lecture 4 (Ch 2)
9.35-10.05: Lecture 5 (Ch 2)
10.05-10.25: Coffee
10.25-10.55: Lecture 6 (Ch 5)
11.00-11.30: Lecture 7 (Ch 5)
11.30-14.00: Self study and lunch
14.00–15.30: Exercises individually or in groups (supervisors commuting)
Exercises 2.8 i, 2.12, 2.13, 2.14, 2.16, 5.4, 5.5, 5.7, 5.9, 5.20
Coffee
15.30–16.15: Exercises and questions in plenum
16.35-17.20: Application 2 (Erik Jørgensen)
17.20- 24.00: Self study and dinner

Wednesday 13 August

Decision graphs
Finn V. Jensen

9.00-9.30: Lecture 8 (CH 4)
9.35-10.05: Lecture 9 (Ch 4)
10.05-10.25: Coffee
10.25-10.55: Lecture 10 (Ch 4)
11.00-11.30: Lecture 11 (Ch 4)
11.30-14.00: Self study and lunch
14.00–15.30: Exercises individually or in groups (supervisors commuting)
Exercises 4.4, 4.5, 4.7, 4.8, 4.14, 4.18, 4.17
Coffee
15.30–16.15: Exercises and questions in plenum
16.35-17.20: Application 3 (Erik Jørgensen)
17.20- 24.00: Self study and dinner

Thursday, August 14

Construction of Bayesian networks
Linda C. van der Gaag

Separate lecture notes and exercises will be handed out.

09:00 - 09:30: Lecture 12: Constructing the digraph (Chapter 2)
09:35 - 10:05: Lecture 13: Constructing the digraph (Chapter 2)
10:05 - 10:25: Coffee
10:25 - 10:55: Lecture 14: Obtaining the probabilities (Chapter 2)
11:00 - 11:30: Lecture 15: Obtaining the probabilities (Chapter 2)
11:30 - 14:00: Self study and lunch
14:00 - 16:15: Exercises individually and in groups
Coffee
16:15 - 17:00: Application: The oesophagus network
17:00 - 24:00: Self study and dinner

Friday 15 August

Tuning, adaptation and sensitivity analysis
Linda C. van der Gaag

09:00 - 09:30: Lecture 12: Sensitivity analysis (Chapter 2)
09:35 - 10:05: Lecture 13: Sensitivity analysis (Chapters 2 and 3)
10:05 - 10:25: Coffee
10:25 - 10:55: Lecture 14: Parameter tuning (Chapter 3)
11:00 - 11:30: Lecture 15: Parameter tuning (Chapter 3)
11:30 - 14:00: Self study and lunch
14:00 - 17:00: Exercises individually and in groups
Coffee
17:00 - 24:00: Self study and dinner

Saturday 16 August

No course activities

Sunday 17 August

Learning of Bayesian networks
Serafin Moral

9.00-9.30: Lecture 20: Introduction to learning. Problems and types (Serafín)
9.35-10.05: Lecture 21: Parameter estimation (Serafín)
10.05-10.25: Coffee
10.25-10.55: Lecture 22: Structure learning. Constraint methods. The PC algorithm (Serafín)
11.00-11.30: Lecture 23: Structure learning. Score+search methods. The K2 algorithm (Serafín)
11.30-14.00: Self study and lunch
14.00–15.30: Exercises individually or in groups (supervisors commuting)
Coffee
15.30–16.15: Exercises and questions in plenum
16.35-17.20: Application 6: Greenhouse data in Almeria (Serafín)
17.20- 24.00: Self study and dinner

Monday 18 August

Learning of Bayesian networks and BN models for DNA microarrays
Serafín Moral

9.00-9.30: Lecture 24: Preprocessing and missing data (Serafín)
9.35-10.05: Lecture 25: Classification oriented learning (Serafín)
10.05-10.25: Coffee
10.25-10.55: Lecture 26: Microarray genetic expression data (Serafín)
11.00-11.30: Lecture 27: Analysis of microarray data using Bayesian networks (Serafín)
11.30-14.00: Self study and lunch
14.00–15.30: Exercises individually or in groups (supervisors commuting)
Coffee
15.30–16.15: Exercises and questions in plenum
16.35-18.00: Establishing the project work (Finn, Erik, Serafín)

Tuesday 19 August

Project work

Wednesday 20 August

Project work

Thursday 21 August

9.00: Presentation of the projects
11.30: Course evaluation
12.00: Lunch, departure

Author: phd@dina.kvl.dk. Updated: 19 August 2003