Probability & statistics for engineers

Summary

This course covers the basics of probability and statistical techniques for engineers, including major probability concepts, data analysis, and statistical inference.

Content

Keywords

Probability, Statistics, Estimation, Correlation, Regression, Hypothesis testing

Learning Outcomes

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

• Analyze quantitative data
• Analyze Probability problems
• Infer data driven conclusions
• Quantify Probabilities given underlying information

Transversal skills

• Collect data.
• Access and evaluate appropriate sources of information.

Teaching methods

The class is very interactive, and students will be expected to answer questions in class.   Answers will be accepted in both English and French.

The exercises are set up to enhance knowledge though a combination of python-based coding problems and written question/answer problems

Expected student activities

Students are expected to attend lecture to maximize learning

Students will learn how to use python and online resources to analyze probability and statistics problems and scenarios.   Python will be used periodically in class, and extensively in exercises.

Knowledge of coding in python is useful but not mandatory.

Assessment methods

There will be 2 midterm tests (each worth 15% of the course crade) and one final exam.

Resources

Virtual desktop infrastructure (VDI)

Yes

Notes/Handbook

Lecture slides will be uploaded to the moodle as PDFs.

Moodle Link

• https://go.epfl.ch/MICRO-110