Week 1 (June 7 - June 13)
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Day
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Time
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Activity
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Sunday
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2:00 pm - 5:00 pm
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Arrive on campus/check into dorm.
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6:00 pm - 9:00 pm
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Welcome BBQ @ Rafael’s
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Monday
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9:10 am - 10:00 am
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Welcome
Introduction to staff, faculty, buildings, etc. Collect paperwork.
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10:10 am - 11:00 am
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Session I: Overview
Overview of RNGs and role of RNGs in science and everyday life. History of RNG and basic examples.
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11:10 am - 12:00 pm
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Session II: A Quick ‘N’ Dirty Introduction to Probability & Statistics
Sample spaces; discrete and continuous probability; histograms.
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12:00 pm - 1:00 pm
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Lunch
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1:10 pm - 2:00 pm
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Session III: Technology
Introduction to R; installation and exploration; basic syntax and commands; generating sequences of discrete random numbers.
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3:10 pm - 4:30 pm
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Meeting with faculty advisors
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Tuesday
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9:10 am - 10:00 am
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Session I: Introduction to Mathematical & Statistical Models
What is randomness? Discrete random variables, expected value, variance, pdf & cdf; Markov chains.
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10:10 am - 11:00 am
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Session II: Discrete Distributions
Bernoulli trials, binomial distribution, geometric distribution, proof that geometric distribution is memoryless.
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11:10 am - 12:00 pm
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Session III: Poisson Distribution & Continuous Random Variables
Pdf, cdf, expected value, variance, continuous distribution, uniform distribution, exponential distribution, gamma distribution.
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12:00 pm - 1:00 pm
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Lunch
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1:10 pm - 2:00 pm
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Session IV: More Distributions
Erlang distributions, normal distribution, Poisson arrival process.
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3:10 pm - 4:30 pm
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Meeting with faculty advisors
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Wednesday
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9:10 am - 10:00 am
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Session I: Monte Carlo (MC) Simulations
Basic idea, some simple definitions, integration vs MC methods.
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10:10 am - 11:00 am
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Session II: Technology
Plotting; script & function files. File I/O.
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11:10 am - 12:00 pm
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Session III: Technology
More on plotting and script files. MC simulation exercises.
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12:00 pm - 1:00 pm
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Lunch
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1:10 pm - 2:00 pm
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Session IV: Technology
Quasi-random number generators (QRNG); performance of QRNGs in MC models.
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2:10 pm - 3:00 pm
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Meeting with faculty advisors
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Thursday
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9:10 am - 10:00 am
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Session I: Simulated Annealing
Queuing models, definitions & measures, long run performance measures (L, LQ).
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10:10 am - 11:00 am
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Session II: More Simulated Annealing
Continue Session I.
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11:10 am - 12:00 pm
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Session III: More Long Run Measures
w, wQ, server utilization, steady-state systems, analytical determination of some long-run measures for Markovian systems.
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12:00 pm - 1:00 pm
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Lunch
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1:10 pm - 2:00 pm
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Session IV: More More Long Run Measures
Continue Session III
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3:10 pm - 4:30 pm
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Meeting with faculty advisors
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Friday
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9:00 am - 10:00 am
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Speaker #1 (UCD)
Title and abstract here.
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10:10 am - 11:00 am
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Q&A With Students
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11:30 am - 1 pm
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Speaker #1 Lunch
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2:10 pm - 3:30 pm
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Meeting with faculty advisors
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Week 2 (June 14 - June 20)
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Day
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Time
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Activity
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Monday
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9:10 am - 10:00 am
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Session I: Analytical Formulas for Markovian Systems
Introduction to random numbers and pseudo-random number generation, LCGs.
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10:10 am - 11:00 am
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Session II: More Analytical Formulas for Markovian Systems
Continue Session I.
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11:10 am - 12:00 pm
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Session III: More on RNGs
More on RNGs, testing uniformity using Chi-Square.
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12:00 pm - 1:00 pm
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Lunch
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1:10 pm - 2:00 pm
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Session IV: Technology
Testing randomness; limitations of pseudo-random number generators; (Mathematica may be used).
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2:10 pm - 3:30 pm
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Meeting with faculty advisors
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Tuesday
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9:10 am - 10:00 am
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Session I: Kolmogorov-Smirnov Uniformity Test
Kolmogorov-Smirnov Uniformity Test.
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10:10 am - 11:00 am
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Session II: More RNGs and Tests
More RNGs & tests (e.g. Max of T test).
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11:10 am - 12:00 pm
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Session III: Random Variates
Random variates.
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12:00 pm - 1:00 pm
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Lunch
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1:10 pm - 2:00 pm
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Session IV: Technology
Random variate generation.
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2:10 pm - 3:30 pm
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Meeting with faculty advisors
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Wednesday
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9:10 am - 10:00 am
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Session I: Simulation Input Modeling
Finish random variates and start simulation input modeling (get data?).
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10:10 am - 11:00 am
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Session II: Simulation Input Modeling
Processing data, goodness of fit tests (chi-square, chi-square with equal probabilities).
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11:10 am - 12:00 pm
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Session III: Simulation Input Modeling
P-values, covariance and correlation, time-series input models.
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12:00 pm - 1:00 pm
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Lunch
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1:10 pm - 2:00 pm
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Session IV: Verification and Validation
Compare generated and measured data.
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2:10 pm - 3:30 pm
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Meeting with faculty advisors
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Thursday
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9:10 am - 10:00 am
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Session I: Beta Error
Beta error and the “power of the test”, reducing beta errors.
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10:10 am - 11:00 am
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Session II: Output Analysis for a Single Model
Transient behavior vs. steady-state behavior, considering variable of interest across runs (to allow independence), confidence intervals for a given number of runs, quantiles and percentiles.
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11:10 am - 12:00 pm
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Session III: Steady State Analysis
Using batches to improve convergence to steady-state.
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12:00 pm - 1:00 pm
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Lunch
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1:10 pm - 2:00 pm
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Session IV: Comparison
Compare two designs with independent data and with correlated data.
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2:10 pm - 3:30 pm
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Meeting with faculty advisors
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Friday
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9:00 am - 12:00 pm
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Session II: Project Overview
Faculty advisors (FA) will present projects. Each FA will make a 40-50 minute presentation of a topic. Students are encouraged to ask questions!
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12:00 pm - 1:00 pm
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Lunch
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1:10 pm - 2:00 pm
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Field Trip: Sacramento State Library
A brief tour of the library; introduction to text and journal database searches.
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2:10 pm - 3:30 pm
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Meeting with faculty advisors
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7:00 pm - 10:00 pm
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River Cats Game
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Week 3 (June 21 - June 27)
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Day
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Time
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Activity
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Monday
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9:10 am - 10:00 am
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Session I: Technology
Introduction to LaTeX; installation and exploration; document classes; equation typesetting; arrays.
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10:10 am - 11:00 am
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Session II: Technology
More with LaTeX; bibliographies and graphics.
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11:10 am - 12:00 pm
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Session III: Technology
BiBTeX; Beamer.
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12:00 pm - 1:00 pm
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Lunch
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Week 4 (June 28 - July 4)
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Day
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Time
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Activity
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Tuesday
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12:00 pm - 1:00 pm
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Session I: Making An Effective Presentation
Tips for making an effective oral presentation.
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1:10 pm - 2:00 pm
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Session II: Making An Effective Poster Presentation
A continuation of the first session. Focus will be on poster presentation and answering questions.
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Wednesday
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9:00 am - 5:00 pm
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Speaker #3/Field Trip to Google
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Saturday
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July 4th BBQ @ Zeigler’s
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Week 5 (July 5 - July 11)
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Day
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Time
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Activity
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Tuesday
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11:10 am - 12:00 pm
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First two preliminary student presentations
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12:00 pm - 1:00 pm
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Lunch
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1:10 pm - 2:00 pm
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Next two preliminary student presentations
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Wednesday
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6:30 pm - 9:00 pm
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Group Dinner
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Week 6 (July 12 - July 17)
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Day
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Time
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Activity
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Monday
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11:00 am - 12:00 pm
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Presentation by Abel Rodriguez (UCSC)
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12:00 pm - 1:00 pm
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Lunch w/ Prof. Rodriguez
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Thursday
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9:10 am - 2:00 pm
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First Annual Sacramento State Summer Undergraduate Research Conference (check with Dean Trainer)
- lunch is provided (contact catering)
- presentation & poster session
- Dean Trainer keynote speaker(?)
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Friday
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9:10 am - 1:00 pm
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Presentation by Bill Hanley (LLNL)
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12:00 pm - 1:00 pm
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Lunch w/ Bill Hanley
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1:00 pm - 3:00 pm
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Exit Interview with Zeigler (schedule this). Written reports are to be submitted at this time.
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