Difference between revisions of "My fist scientific paper"

From Research management course
Jump to: navigation, search
Line 5: Line 5:
 
  |description=This research management course immerses students in research activities that produce scientific papers.
 
  |description=This research management course immerses students in research activities that produce scientific papers.
 
  }}
 
  }}
[[File:First_research_paper.png|class=img-responsive|left|alt=Research management course|link=Course_schedule]]  
+
 
 +
[[File:Miai logo1.jpeg|class=img-responsive|left|alt=Research management course|link=Course_schedule]]  
 
{{Box|Title=News and announcements|Content={{News}}<!--''[[News|more]]''-->}}
 
{{Box|Title=News and announcements|Content={{News}}<!--''[[News|more]]''-->}}
  

Revision as of 21:35, 15 February 2024

Research management course

 

News and announcements

Fall 2024 on September 14 — The Art of Scientific Research

Fall 2024 on September 13 — Intelligent Data Analysis / FDA

Before January 2025 — My fist scientific paper: Suggest your project here

Spring 2025 on February 6th — My fist scientific paper starts

See results of 2024 —  on GitHub

Course progress

This course produces student research papers. It gathers research teams. Each team joins a student, a consultant, and an expert. The student is a project driver who wants to plunge into scientific research activities. The graduate student consultant conducts the research and helps the student. The expert, a professor, states the problem and enlightens the road to the goal. The projects start in February and end in May, according to the schedule.

LINKS


HISTORY

Mathematical methods of forecasting, 2024

This course delivers methods of model selection in machine learning and forecasting. The modeling data are videos, audios, encephalograms, fMRIs, and other measurements in natural science. The models are linear, tensor, deep neural networks, and neural ODEs. The practical examples are brain-computer interfaces, weather forecasting, and various spatial-time series forecasting. The lab works are organized as paper-with-code reports. See course page