MICRO-110 / 3 credits

Teacher: Subramanian Vivek

Language: English


Summary

This course provides an introduction to experimental statistics, including use of population statistics to characterize experimental results, use of comparison statistics and hypothesis testing to evaluate validity of experiments, and design, application, and analysis of multifactorial experiments

Content

Keywords

Statistics, Design of Experiments, Hypothesis Testing, ANOVA, regression, correlation, multifactorial

Learning Outcomes

By the end of the course, the student must be able to:

  • Design Experiments using multifactorial techniques
  • Work out / Determine correlation between experimental data sets
  • Characterize sampled data and population data to determine central tendencies and variability
  • Assess / Evaluate Statistical validity of a hypothesis

Teaching methods

Lectures with extensive in-class interactive content, exercises using computational tools

Expected student activities

Attend lectures and participate in in-class discussion

Complete exercises

Complete in-class and final examinations

Assessment methods

2 written midterm tests in class

Written final examination

Supervision

Office hours Yes
Assistants Yes
Forum No
Others Office hours will be held after midterms to review results

Resources

Virtual desktop infrastructure (VDI)

Yes

Moodle Link

In the programs

  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Design of experiments
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17   CO1
CO260
 
17-18    
18-19   CO4
CO1
CO5
CO6
CO260
 
19-20     
20-21     
21-22     

Thursday, 16h - 18h: Lecture CO1
CO260

Thursday, 18h - 19h: Exercise, TP CO4
CO1
CO5
CO6
CO260

Related courses

Results from graphsearch.epfl.ch.