MATH-236 / 4 credits

Teacher: Goldstein Darlene

Language: English


Summary

Linear statistical methods, analysis of experiments, logistic regression.

Content

Learning Outcomes

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

  • Demonstrate understanding of course material
  • Apply understanding to exercise/real life scenarios

Transversal skills

  • Use a work methodology appropriate to the task.

Teaching methods

Lectures and group exercises

Expected student activities

Students should be prepared to participate in their learning by participating during lecture, asking questions, and contributing to exercise sessions

Assessment methods

Written

In the programs

  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Probabilities and statistics II
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 2 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Probabilities and statistics II
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 2 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     
17-18     
18-19     
19-20     
20-21     
21-22