LEARNING OUTCOMES
To be able to explain and use basic methods of statistical signal processing and apply them to various problems in engineering, data analytics and multisensor systems.
Credits: 5
Schedule: 06.09.2022 - 08.12.2022
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Visa Koivunen
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Estimation, optimal and adaptive filtering, sensor array processing and multisensor systems
Assessment Methods and Criteria
valid for whole curriculum period:
Lectures, exercises and an exam. Taking the exam may require passed exercises.
Workload
valid for whole curriculum period:
5 cr = 133 h
Lectures, Exercises, Exam approximately 30 h, Independent studying (homeworks, preparing for exam, etc.) approximately 103 h
Attendance in some contact teaching may be compulsory.
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
9 Industry, Innovation and Infrastructure
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Autumn I - II
2023-2024 Autumn I - II