Spring 2015 Time Schedule
CENTER FOR STATISTICS & THE SOCIAL SCI |
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Enrl Sect Crs Restr SLN ID Cred Meeting Times Bldg/Rm Instructor Status Enrl/Lim Grades Fee Other ? ? ? ? ? ? ? ? ? ? ? |
| CS&SS 221 STAT FOR SOC SCI | (NW,QSR) |
12589 A 5 MWF 930-1020 SAV 260 MARTINKOVA,PATRICIA Closed 10/ 60 J
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12590 AA QZ TTh 830-920 THO 202 KERNFELD,ERIC Closed 3/ 10 J
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12591 AB QZ TTh 930-1020 THO 202 KERNFELD,ERIC Closed 3/ 10 J
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12592 AC QZ TTh 830-920 THO 211 KIM,LANU Closed 2/ 10 J
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12593 AD QZ TTh 930-1020 THO 325 KIM,LANU Closed 1/ 10 J
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12594 AE QZ TTh 830-920 THO 235 MCDAVID,ANDREW N Closed 1/ 10 J
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12595 AF QZ TTh 930-1020 THO 134 MCDAVID,ANDREW N Closed 0/ 10 J
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| CS&SS 503 ADV QUANT POL MTHD |
Restr 12596 A 5 T 430-720P SAV 158 ARNOLD,JEFFREY B. Closed 6/ 5 J F 130-320 SMI 220 |
| CS&SS 507 MTHD QUANT TECH SOC |
12597 A 3 TTh 130-320 DEN 315 MCCORMICK,TYLER HARRIS Open 7/ 5 J
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| CS&SS 508 INTRO R FOR SOC SCI |
Restr 12598 A 1 W 330-520 SAV 117 ERLICH,AARON S Open 24/ 30 CR/NC T 330-420 SAV 117 NOTE: OPTIONAL LAB ON TUESDAYS |
| CS&SS 527 SURVEY RSRCH METHODS |
>12599 A 4 MW 1030-1150 HSR RR134 MOKDAD,ALI H. 5/ 25 J
CONTACT CURTIS DYE AT HSCOURS@UW.ED
FOR ADD CODE
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| CS&SS 529 SAMPLE SURVEY TECH |
12600 A 3 TTh 1030-1150 LOW 105 WAKEFIELD,JONATHAN C Open 6/ 15 J
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| CS&SS 560 HIERARCH MODELING SS |
Restr 12601 A 4 MThF 230-320 LOW 118 LEROUX,BRIAN Open 3/ 10 J W 230-320 SAV 121 TANG,MINGWEI FIRST LAB SESSION (APRIL 1) WILL BE IN SAV 117, REMAINING LAB SESSIONS WILL BE IN SAV 121 |
| CS&SS 564 BAYESIAN STAT FOR SS |
Restr 12602 A 4 TTh 1030-1150 CDH 115 DOBRA,ADRIAN Open 15/ 18 J Th 130-220 LOW 222 YUAN,SHULIU |
| CS&SS 590 CSSS SEMINAR |
Restr 12603 A 1 W 1230-120 SAV 409 ARNOLD,JEFFREY B. Closed 21/ 20 CR/NC MUST BE AT GRADUATE STUDENT LEVEL SEMINARS HELD IN SAV 409. |
| CS&SS 594 SPEC TOPIC SOC STAT |
>12604 A 5 TTh 430-550P MGH 251 ADOLPH,CHRISTOPHER A 23/ 22 J
F 1000-1050 SAV 117 YOO,DANIEL HEE-SEUNG
TIME SERIES AND PANEL DATA FOR THE
SOCIAL SCIENCES
A SURVEY OF REGRESSION MODELS FOR
TIME SERIES AND TIME SERIES CROSS-
SECTIONAL DATA. EMPHASIS ON
MODELING DYNAMICS AND PANEL
STRUCTURES WITH CONTINUOUS
OUTCOMES, AS WELL AS ON
INTERPRETATION AND FITTING OF
MODELS. TOPICS VARY AND MAY
INCLUDE TRENDS AND SEASONALITY,
ARIMA MODELS, LAGGED DEPENDENT
VARIABLES, DISTRIBUTED LAGS,
COINTEGRATION AND ERROR CORRECTION
MODELS, FIXED AND RANDOM EFFECTS,
PANEL HETEROSKEDASTICITY, MISSING
DATA IMPUTATION, AND CAUSAL
INFERENCE USING PANEL DATA.
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