MATH-710 / 4 credits

Teacher(s): Davison Anthony Christopher, Morgenthaler Stephan, Goldstein Darlene, Panaretos Victor

Language: English

Remark: Postponed until further notice


Summary

An overview course intended for scientists and engineers who need to use statistical methods as part of their research, who have already attended a course at the second-year EPFL undergraduate level, and need revision and deepening of their knowledge at a more conceptual level.

Content

Keywords

Data analysis; statistical methods, scientific method

Learning Prerequisites

Required courses

second-year course in probability/statistics for engineers and/or scientists, reasonable mathematical ability

Assessment methods

Project report/Oral presentation

In the programs

  • Exam form: Multiple (session free)
  • Subject examined: Data Analysis for Science and Engineering
  • Lecture: 28 Hour(s)
  • Practical work: 28 Hour(s)
  • Exam form: Multiple (session free)
  • Subject examined: Data Analysis for Science and Engineering
  • Lecture: 28 Hour(s)
  • Practical work: 28 Hour(s)

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22