LEARNING OUTCOMES
The students learn to work together efficiently on a project with a fixed deadline in an international team and with remote working constraints. The students will learn project management competences while completing a data-intensive measurement study in the domains of Communications Engineering and Data science.
Credits: 6
Schedule: 09.01.2023 - 02.06.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Stephan Sigg
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:
Must know: Project management tools and strategies, Time and self-management, efficient collaboration schemes, Version management, Academic reporting practices as well as reporting tools and structures, Risk assessment and management, Rules of good scientific practice, Performance comparison via learning curves, Should know: Communication protocols, basics in signal processing, Internet Traffic Management and Analysis, Basic methods in Data Science, Basic programming and relevant libraries, e.g. Python, C++, C Nice to know: advanced skills in signal processing, communication protocols, Data Science or programming
Assessment Methods and Criteria
valid for whole curriculum period:
The students will conduct a final presentation on their group project, which will be graded. In addition, students complete a report on their studies and project work, which will be evaluated. When appropriate, oral exams might be conducted and online questionnaires might be used to study learning progress during the course.
Workload
valid for whole curriculum period:
Attendance to the course is compulsory. Overall, the workload is approximately 162 hours, with roughly 10 hours of lectures and 152 hours of independent group and individual work. The course does not necessarily involve contact teaching since some lecturers are providing their instructions via remote teaching methods.
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Spring III - V
2023-2024 Spring III - VEnrollment :
Registration for Courses on Sisu (sisu.aalto.fi). The course is limited to students in the CoDaS programme. Exceptions may apply.