Date and Location

13-14 June 2023, USACE Los Angeles District

Instructors

Avital Breverman

Greg Karlovits

Software

Please have all software installed prior to class. Apps requested via the App Portal can take 2 or more days to install, so please plan ahead.

HEC-SSP v2.3-beta5 (portable version, not on the App Portal): https://www.hec.usace.army.mil/software/hec-ssp/download.aspx
R programming language (via App Portal): Installing and Configuring R and RStudio
RStudio IDE (via App Portal): Installing and Configuring R and RStudio

Agenda

Start	End	Duration	Module	Topic	Instructor	Link	Additional Links
Day 1 (13 June 2023)
08:30	09:30	60	1-1	Probability and Statistics Refresher (Lecture)	Karlovits	Probability and Statistics Foundations.pptx	Videos Probability and Statistics Foundations Part 1 Probability and Statistics Foundations Part 2 Probability and Statistics Foundations Part 3 Not covered in class: Probability and Statistics Foundations Part 4
09:30	09:45	15		Break
09:45	10:45	60	1-2	Frequency Analysis Refresher (Lecture)	Breverman	Frequency Analysis.pptx	Videos Parametric Modeling Part 1 (Introduction) Parametric Modeling Part 2 (Developing a Representative Data Set) Parametric Modeling Part 3 (Selecting a Model) Parametric Modeling Part 4 (Model Visualization and Goodness of Fit) Material in this class is reduced Parametric Modeling Part 5 (Sources of Uncertainty) Material in this class is reduced
10:45	11:45	60	1-3	Frequency Analysis Refresher (Workshop)	Breverman	Frequency Analysis Refresher Workshop
11:45	12:45	60		Lunch
12:45	13:45	60	1-4	Extreme Value Theory (Lecture)	Karlovits	Extreme Value Theory.pptx	Videos Extreme Value Theory Part 1 (Introduction) Not covered in class: Extreme Value Theory Part 2 (Order Statistics) Extreme Value Theory Part 3 (First Extreme Value Theorem) Extreme Value Theory Part 4 (Second Extreme Value Theorem) Material in this class is significantly different than the video.
13:45	14:45	60	1-5	Extreme Value Theory (Workshop)	Karlovits	Introduction to the Extreme Value Theory Workshop Task 1: Heterogeneous Sample Task 2: Homogeneous Samples
14:45	15:00	15		Break
15:00	15:30	30	1-6	Data Requirements for Partial Duration Analysis (Lecture)	Breverman	Data Requirements for Partial Duration Series.pptx
15:30	16:00	30	1-7	Why Use Partial Duration Analysis? (Lecture)	Karlovits	Why Use Partial Duration Analysis.pptx
Day 2 (14 June 2023)
Start	End	Duration	Module	Topic	Instructor	Link
08:30	09:30	60	2-1	R/RStudio Crash Course (Workshop)	Breverman/ Karlovits	R/RStudio Crash Course Workshop
09:30	10:00	30	2-2	Flood Separation and Threshold Choice (Lecture)	Karlovits	Flood Separation and Threshold Choice.pptx
10:00	10:15	15		Break
10:15	11:30	75	2-3	Flood Separation and Threshold Choice (Workshop)	Karlovits	Flood Separation and Threshold Choice Workshop
11:30	12:00	30	2-4	Annualization (Lecture)	Karlovits	Annualization.pptx
12:00	13:00	60		Lunch
13:00	14:00	60	2-5	Annualization (Workshop)	Karlovits	Annualization Workshop
14:00	14:45	45	2-6	Mixed Populations (Lecture)	Breverman	Mixed Populations.pptx
14:45	15:00	15		Class Photo/Break
15:00	16:15	75	2-7	Mixed Populations (Workshop)	Breverman	Mixed Populations Workshop

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Partial Duration Workshop (June 2023)

Date and Location

Instructors

Software

Agenda