Lectures and exercises
Jani Kangas
Tilastollisten menetelmien perusteet: Lauri Nummenmaa, Martti Holopainen, Pekka Pulkkinen ISBN 978-952-63-2979-6 You don't have to have it, but it's good supporting material
Contact teaching
Wärtsilä Campus Karjalankatu 3
Finnish
09.01.2023 - 28.05.2023
Lectures 44 h Practical work: 30 h Independent study: 25 h Exam: 3 h Feedback: 5 h
01.10.2022 - 31.10.2022
The assessment is based on an exam for statistical mathematics and exercises for optimisation. The grade of the course is determined by the exam in statistical mathematics.
Jani Kangas
10 - 70
Degree Programme in Forestry
H-5
Students will be able to use key/unique concepts of statistical mathematics and optimisation and demonstrate a basic knowledge of the domain. The student will be able to act appropriately in solving simple problems in statistics and optimisation, albeit in a fumbling way. The student will be able to follow instructions and solve basic problems in statistical mathematics and optimisation.
Students will be able to use the concepts of statistical mathematics and optimisation consistently and demonstrate a basic knowledge of the domain. Students will be able to select appropriate ways of modelling simple problems in statistics and optimisation. Students will be able to solve basic problems in statistics and optimisation and to assess their own competence. The student can apply his/her knowledge in basic tasks.
Students will be able to use the terms and concepts of statistical mathematics and optimisation in a competent way and to combine them in a coherent way. Students will be able to model and solve simple problems in statistics and optimisation and to evaluate the correctness of the solutions. Students will be able to apply their knowledge of statistical mathematics and optimisation in a variety of tasks and situations.