KRIGOLSON TEACHING
  • NEUROSCIENCE
    • NEUROSCIENCE 100 >
      • NEURO 100 INTRODUCTION
      • NEURO 101 ADVANCED
      • NEURO 102 AGING
      • NEURO 103 MEMORY
      • NEURO 104 DECISION MAKING
      • NEURO 105 LEARNING
    • NEURO 500 >
      • Introduction
      • 1. Motor and Sensory Neurons
      • 2. Reflexes
      • 3. Postural Control
      • 4. Goal Directed Action
      • 5. Online Control
      • 6. Forward and Inverse Models
      • EXAM ONE
      • 7. PRIMARY VISUAL CORTEX
      • 8. THE DORSAL VISUAL STREAM
      • 9. THE VENTRAL VISUAL STREAM
      • 10. SOMATOSENSATION
      • 11 ATTENTION
      • EXAM TWO
      • 6. MEMORY
      • 7. EXECUTIVE CONTROL
      • 8. LEARNING
      • 9. DECISION MAKING
      • 10. SOMATOSENSATION
  • KINESIOLOGY
    • EPHE 245 >
      • COURSE READINGS
      • ADDITIONAL MATERIALS
      • LABORATORY
      • PRACTICUM
    • EPHE 380 >
      • COURSE INFORMATION
      • COURSE READINGS
      • In Class Labs
      • LAB >
        • LAB OVERVIEW
        • Lab Schedule
        • How To Write A Research Paper
        • RESEARCH PROJECT
        • POSTER PRESENTATION
    • EPHE 487 / 591
    • EPHE 573
    • EPHE 575
  • STATISTICS
    • LECTURE >
      • INTRODUCTION TO R
      • DESCRIPTIVE STATISTICS
      • VISUALIZING DATA
      • Correlation and Regression
      • MULTIPLE REGRESSION
      • LOGIC OF NHST
      • T TESTS
      • ANOVA
      • POST HOC ANALYSIS
      • NON PARAMETRIC STATISTICS
      • FACTORIAL ANOVA
      • Repeated Measures ANOVA
      • Mixed ANOVA
      • MULTIVARIATE ANOVA
      • THE NEW STATISTICS
      • Bayesian Methods
    • ASSIGNMENTS >
      • Introduction to R >
        • INTRODUCTION TO R
        • LOADING DATA
        • DATA TABLES
      • Descriptive Statistics >
        • Mean, Median, and Mode
        • VARIANCE
        • CONFIDENCE INTERVALS
        • SHORTCUTS
      • Visualizing Data >
        • PLOTTING BASICS
        • BAR GRAPHS
        • BOXPLOTS
        • HISTOGRAMS
        • USING GGPLOT I
        • USING GGPLOT II
        • USING GGPLOT III
      • Correlation and Regression >
        • CORRELATION
        • REGRESSION
      • MULTIPLE REGRESSION >
        • MULTIPLE REGRESSION
      • Logic of NHST >
        • Sample Size and Variance
        • DISTRIBUTIONS
        • TESTING DISTRIBUTIONS
      • T-Tests >
        • Single Sample TTests
        • Paired Sample TTests
        • Independent Sample TTests
      • ANOVA >
        • ANOVA ASSUMPTIONS
        • ANOVA
      • POST HOC ANALYSIS >
        • POSTHOC ANALYSIS
      • NON PARAMETRIC STATISTICS >
        • WILCOXON TEST
        • WILCOXON SIGNED TEST
        • MULTIPLE GROUPS
      • FACTORIAL ANOVA
      • REPEATED MEASURES ANOVA >
        • RM ANOVA
        • TREND ANALYSIS
      • MIXED ANOVA
      • MULTIVARIATE ANOVA
      • THE NEW STATISTICS
      • BAYESIAN TTESTS
    • RESOURCES
    • R TIPS
  • Directed Studies
    • Advanced Topics in Motor Control A
    • Advanced Topics in Motor Control B
    • An Introduction to EEG
    • Advanced EEG and ERP Methods
    • Neural Correlates of Human Reward Processing
    • Independent Research Project
  • MATLAB
    • THE BASICS >
      • Hello World
      • BASIC MATHEMATICS
      • VARIABLES
      • Matrices
      • Writing Scripts
      • PATHS AND DIRECTORIES
      • USER INPUT
      • FOR LOOPS
      • WHILE LOOPS
      • IF STATEMENTS
      • RANDOM NUMBERS
    • STATISTICS >
      • LOADING DATA
      • DESCRIPTIVE STATISTICS
      • MAKING FUNCTIONS
      • BAR GRAPHS
      • LINE GRAPHS
      • TTESTS
    • EXPERIMENTS: THE BASICS >
      • DRAWING A CIRCLE
      • DRAWING MULTIPLE OBJECTS
      • DRAWING TEXT
      • DRAWING AN IMAGE
      • PLAYING A TONE
      • KEYBOARD INPUT
      • BUILDING A TRIAL
      • BUILDING TRIALS
      • NESTED LOOPS
      • RIGHT OR WRONG
      • SAVING DATA
    • EXPERIMENTS: ADVANCED >
      • STROOP
      • N BACK
      • Oddball
      • Animation
      • VIDEO
    • EEG and ERP Analysis >
      • Filtering Data
      • Referencing Data
      • ERP Analysis
      • FFT Analysis
  • RESOURCES
    • EXCEL
    • HOW TO READ A RESEARCH PAPER
    • HOW TO WRITE A RESEARCH PAPER
  • LAB
  • Workshops
    • Calgary EEG Workshop 2018

DIRECTED STUDIES
​
MEDICAL SCIENCES 490 B
Advanced EEG and ERP Methods

This directed studies course is intended for undergraduate and graduate students who have completed An Introduction to Electroencephalography and are wishing to learn more about EEG and ERP research.

​Note students in this course can enrol in these either EPHE 494: Directed Studies or MEDS 490: Directed Studies. Note, students can only do a maximum of 3.0 units of EPHE 494 and 3.0 units of MEDS 490.


Course Grade
Assignments /Quizzes (10): 5% each              TOTAL: 50%
Final Exam (1): 50%                                          TOTAL: 50%

Assignments and Quizzes
Weekly assignments / quizzes will be used to ensure students read and understand the course material.

Final Exam
Students will complete a final exam on all of the assigned readings and videos. The exam will be comprised of 10 short answer questions.
Week 1
Read: Luck, Chapter 7 and Luck, Chapter 7 Supplementary Material
Do: Start the analysis tutorial

Week 2
Read: Luck, Chapter 8
Do: Work on analysis tutorial

Week3

Luck, Chapter 8 Supplementary Material
Do: Work on analysis tutorial

Week 4
Read: Luck, Chapter 9
Do: Work on analysis tutorial

Week 5
Read: Luck, Chapter 9 Supplementary Material
Do: Work on analysis tutorial

Week 6
Read: Luck, Chapter 10
Read: Picton et al. 2000
Do: Work on analysis tutorial

Week 7
Read: Luck, Chapter 10 Supplementary Material
Do: Work on analysis tutorial

Week 8
Read: Luck, Online Chapter 11
Do: Work on analysis tutorial

Week 9
Read: Luck, Online Chapter 12
Do: Work on analysis tutorial

Week 10
Read: Luck, Online Chapter 13
Do: Work on analysis tutorial

Week 11
Luck, Online Chapter 14
Do: Complete analysis tutorial

Week 12
Final Exam

  • NEUROSCIENCE
    • NEUROSCIENCE 100 >
      • NEURO 100 INTRODUCTION
      • NEURO 101 ADVANCED
      • NEURO 102 AGING
      • NEURO 103 MEMORY
      • NEURO 104 DECISION MAKING
      • NEURO 105 LEARNING
    • NEURO 500 >
      • Introduction
      • 1. Motor and Sensory Neurons
      • 2. Reflexes
      • 3. Postural Control
      • 4. Goal Directed Action
      • 5. Online Control
      • 6. Forward and Inverse Models
      • EXAM ONE
      • 7. PRIMARY VISUAL CORTEX
      • 8. THE DORSAL VISUAL STREAM
      • 9. THE VENTRAL VISUAL STREAM
      • 10. SOMATOSENSATION
      • 11 ATTENTION
      • EXAM TWO
      • 6. MEMORY
      • 7. EXECUTIVE CONTROL
      • 8. LEARNING
      • 9. DECISION MAKING
      • 10. SOMATOSENSATION
  • KINESIOLOGY
    • EPHE 245 >
      • COURSE READINGS
      • ADDITIONAL MATERIALS
      • LABORATORY
      • PRACTICUM
    • EPHE 380 >
      • COURSE INFORMATION
      • COURSE READINGS
      • In Class Labs
      • LAB >
        • LAB OVERVIEW
        • Lab Schedule
        • How To Write A Research Paper
        • RESEARCH PROJECT
        • POSTER PRESENTATION
    • EPHE 487 / 591
    • EPHE 573
    • EPHE 575
  • STATISTICS
    • LECTURE >
      • INTRODUCTION TO R
      • DESCRIPTIVE STATISTICS
      • VISUALIZING DATA
      • Correlation and Regression
      • MULTIPLE REGRESSION
      • LOGIC OF NHST
      • T TESTS
      • ANOVA
      • POST HOC ANALYSIS
      • NON PARAMETRIC STATISTICS
      • FACTORIAL ANOVA
      • Repeated Measures ANOVA
      • Mixed ANOVA
      • MULTIVARIATE ANOVA
      • THE NEW STATISTICS
      • Bayesian Methods
    • ASSIGNMENTS >
      • Introduction to R >
        • INTRODUCTION TO R
        • LOADING DATA
        • DATA TABLES
      • Descriptive Statistics >
        • Mean, Median, and Mode
        • VARIANCE
        • CONFIDENCE INTERVALS
        • SHORTCUTS
      • Visualizing Data >
        • PLOTTING BASICS
        • BAR GRAPHS
        • BOXPLOTS
        • HISTOGRAMS
        • USING GGPLOT I
        • USING GGPLOT II
        • USING GGPLOT III
      • Correlation and Regression >
        • CORRELATION
        • REGRESSION
      • MULTIPLE REGRESSION >
        • MULTIPLE REGRESSION
      • Logic of NHST >
        • Sample Size and Variance
        • DISTRIBUTIONS
        • TESTING DISTRIBUTIONS
      • T-Tests >
        • Single Sample TTests
        • Paired Sample TTests
        • Independent Sample TTests
      • ANOVA >
        • ANOVA ASSUMPTIONS
        • ANOVA
      • POST HOC ANALYSIS >
        • POSTHOC ANALYSIS
      • NON PARAMETRIC STATISTICS >
        • WILCOXON TEST
        • WILCOXON SIGNED TEST
        • MULTIPLE GROUPS
      • FACTORIAL ANOVA
      • REPEATED MEASURES ANOVA >
        • RM ANOVA
        • TREND ANALYSIS
      • MIXED ANOVA
      • MULTIVARIATE ANOVA
      • THE NEW STATISTICS
      • BAYESIAN TTESTS
    • RESOURCES
    • R TIPS
  • Directed Studies
    • Advanced Topics in Motor Control A
    • Advanced Topics in Motor Control B
    • An Introduction to EEG
    • Advanced EEG and ERP Methods
    • Neural Correlates of Human Reward Processing
    • Independent Research Project
  • MATLAB
    • THE BASICS >
      • Hello World
      • BASIC MATHEMATICS
      • VARIABLES
      • Matrices
      • Writing Scripts
      • PATHS AND DIRECTORIES
      • USER INPUT
      • FOR LOOPS
      • WHILE LOOPS
      • IF STATEMENTS
      • RANDOM NUMBERS
    • STATISTICS >
      • LOADING DATA
      • DESCRIPTIVE STATISTICS
      • MAKING FUNCTIONS
      • BAR GRAPHS
      • LINE GRAPHS
      • TTESTS
    • EXPERIMENTS: THE BASICS >
      • DRAWING A CIRCLE
      • DRAWING MULTIPLE OBJECTS
      • DRAWING TEXT
      • DRAWING AN IMAGE
      • PLAYING A TONE
      • KEYBOARD INPUT
      • BUILDING A TRIAL
      • BUILDING TRIALS
      • NESTED LOOPS
      • RIGHT OR WRONG
      • SAVING DATA
    • EXPERIMENTS: ADVANCED >
      • STROOP
      • N BACK
      • Oddball
      • Animation
      • VIDEO
    • EEG and ERP Analysis >
      • Filtering Data
      • Referencing Data
      • ERP Analysis
      • FFT Analysis
  • RESOURCES
    • EXCEL
    • HOW TO READ A RESEARCH PAPER
    • HOW TO WRITE A RESEARCH PAPER
  • LAB
  • Workshops
    • Calgary EEG Workshop 2018