Matlab Training Sessions

The Centre for Neuroscience Studies is running non-accredited beginner and intermediates level Matlab training sessions. One of our graduate students, Joe Nashed, will be instructing this course.

To register for one of the Matlab Training Sessions listed below, please complete the Matlab Course Registration Form (PDF 14KB) and submit to the CNS Graduate Office.

---

Overview

The introductory Matlab course will continue developing skills in Matlab fundamentals for data analysis and processing such as building reusable functions and programs for common problems faced by graduate students (2 weeks). Time will be devoted mostly to using Matlab for basic data analysis techniques including statistics, line fitting and plotting (3 weeks). In addition, the course will cover intermediate level skills such as importing data from external sources and building graphical user interfaces (1-2 weeks).

Sessions

The dates, times and locations for Matlab Training will be determined January 2012.  Details to follow.

Course Outline

There are 8 topics and we will start at number 1 and work our way to 8. Hopefully we will make it through the whole list in the semester.

• Intro to Matlab and its Interface
• Fundamentals (Operators)
• Fundamentals (Flow)
• Importing Data
• Functions and M-Files
• Plotting (2D and 3D)
• Statistical Tools in Matlab
• Analysis and Data Structures

Course Materials

• Week 1 Lecture
• Week 2 Lecture
• Week 2 Excercises
• Week 2 Solutions
• Week 3 Lecture
• Week 3 Excercises
• Week 3 Solutions
• Week 4 Lecture
• Week 5 Lecture (Adjoining Data: PDXprecip.dat and PDXtemp.txt)
• Week 6/7 Lectures
• Week 8 Lecture (Adjoining Data: testdata1, testdata2, testdata3)
• Week 9 Lecture
• Week 10 Lecture (Adjoining Data: week10data)
• Week 11 Lecture
• Week 12 Lecture
• Week 13 Lecture (Adjoining Data: week13gui.m, week13gui.fig)
• Week 14 Lecture
• Week 15 Lecture