KRIGOLSON TEACHING
NEUROSCIENCE
NEUROSCIENCE 100
>
NEURO 100 INTRODUCTION
NEURO 101 ADVANCED
NEURO 102 AGING
NEURO 103 MEMORY
NEURO 104 DECISION MAKING
NEURO 105 LEARNING
Research Statistics
MEDS 487/ NEURO 500
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 / 582
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
Iowa State EEG Workshop 2018
Python
The Basics
>
Setting Up Python
Hello, world!
Basic Math & Using Import
Variables
Matrices
Scripts
User Input
For Loops
EPHE 245 MOTOR LEARNING
Course Outline
READINGS
ADDITIONAL MATERIALS
LABORATORY
PRACTICUM
NEUROSCIENCE
NEUROSCIENCE 100
>
NEURO 100 INTRODUCTION
NEURO 101 ADVANCED
NEURO 102 AGING
NEURO 103 MEMORY
NEURO 104 DECISION MAKING
NEURO 105 LEARNING
Research Statistics
MEDS 487/ NEURO 500
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 / 582
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
Iowa State EEG Workshop 2018
Python
The Basics
>
Setting Up Python
Hello, world!
Basic Math & Using Import
Variables
Matrices
Scripts
User Input
For Loops