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	<bruceg@untroubled.org>; Thu, 19 Jun 2025 12:00:11 GMT
From: Top courses <topcourses@datastat.co.ke>
Date: Thu, 19 Jun 2025 12:00:11 +0000
Subject: Training on Advanced Quantitative Methods for Criminological Research
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 black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning: =
0pt; mso-color-alt: windowtext'>&nbsp;</SPAN><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; mso-fa=
reast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></o:=
p></SPAN></P>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: center; MARGIN: 0cm; LINE-HEIG=
HT: normal"=20
align=3Dcenter><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; COLOR:=
 black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning: =
0pt; mso-color-alt: windowtext'>&nbsp;</SPAN><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; mso-fa=
reast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></o:=
p></SPAN></P>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: center; MARGIN: 0cm; LINE-HEIG=
HT: normal"=20
align=3Dcenter><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; COLOR:=
 black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning: =
0pt; mso-color-alt: windowtext'>5=20
Days Course Fee=3D 1100 USD</SPAN><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; mso-fa=
reast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></o:=
p></SPAN></P>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: center; MARGIN: 0cm; LINE-HEIG=
HT: normal"=20
align=3Dcenter><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; COLOR:=
 black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning: =
0pt; mso-color-alt: windowtext'>10=20
Days Course Fee=3D2200 USD</SPAN><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; mso-fa=
reast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></o:=
p></SPAN></P>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: center; MARGIN: 0cm; LINE-HEIG=
HT: normal"=20
align=3Dcenter><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; COLOR:=
 black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning: =
0pt; mso-color-alt: windowtext'>Online=20
Training Fee=3D600USD</SPAN><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; mso-fa=
reast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></o:=
p></SPAN></P>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: center; MARGIN: 0cm; LINE-HEIG=
HT: normal"=20
align=3Dcenter><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; mso-fa=
reast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p>&nbs=
p;</o:p></SPAN></P>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><U><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Training=20
Course on Advanced Quantitative Methods for Criminological=20
Research<o:p></o:p></SPAN></U></B></P>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Introduction</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>In=20
the ever-evolving landscape of criminology, the need for advanced quan=
titative=20
methods has never been more critical. Training Course on Advanced Quan=
titative=20
Methods for Criminological Research is meticulously designed for resea=
rchers,=20
analysts, policymakers, and academics aiming to enhance their ability =
to=20
collect, analyze, and interpret complex crime data. With a strong focu=
s on=20
statistical modeling, predictive analytics, and data visualization tec=
hniques,=20
this course equips participants with cutting-edge tools to investigate=
 crime=20
patterns, test hypotheses, and support data-driven decision-making in =
criminal=20
justice systems. Leveraging statistical software such as SPSS, R, and =
STATA,=20
this course offers hands-on practice with real-world criminological=20
datasets.<o:p></o:p></SPAN></P>
<P class=3DMsoNormal style=3D"BACKGROUND: white; MARGIN: 0cm 0cm 7.5pt=
"><B><U><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; COLOR:=
 black; LINE-HEIGHT: 107%; mso-color-alt: windowtext'>Duration</SPAN><=
/U></B><U><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></U></P>
<P class=3DMsoNormal style=3D"BACKGROUND: white; MARGIN: 0cm 0cm 7.5pt=
"><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; COLOR:=
 black; LINE-HEIGHT: 107%; mso-color-alt: windowtext'>10=20
Days</SPAN><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<P class=3DMsoNormal style=3D"BACKGROUND: white; MARGIN: 0cm 0cm 7.5pt=
"><B=20
style=3D"mso-bidi-font-weight: normal"><U><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; COLOR:=
 black; LINE-HEIGHT: 107%; mso-color-alt: windowtext'>Course=20
Fee</SPAN></U></B><B style=3D"mso-bidi-font-weight: normal"><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; COLOR:=
 black; LINE-HEIGHT: 107%; mso-color-alt: windowtext'>:</SPAN></B><SPA=
N=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; COLOR:=
 black; LINE-HEIGHT: 107%; mso-color-alt: windowtext'>=20
2200 USD</SPAN><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<P class=3DMsoNormal style=3D"BACKGROUND: white; MARGIN: 0cm 0cm 7.5pt=
"><SPAN=20
style=3D"COLOR: black; mso-color-alt: windowtext"></SPAN><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN>&nbsp;</P>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Course=20
Objectives</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<OL style=3D"MARGIN-TOP: 0cm" type=3D1>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Apply=20
  multivariate analysis techniques in criminological=20
  research.<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Conduct=20
  predictive modeling for crime trend analysis.<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Utilize=20
  data visualization tools to interpret complex datasets.<o:p></o:p></=
SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Perform=20
  structural equation modeling (SEM) in criminological=20
  contexts.<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Design=20
  and execute longitudinal crime studies.<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Analyze=20
  multilevel and hierarchical data in community crime=20
  studies.<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Use=20
  big data analytics in understanding urban crime=20
  patterns.<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Evaluate=20
  crime forecasting models using machine learning=20
  algorithms.<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Integrate=20
  quantitative methods in evidence-based policy=20
  development.<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Develop=20
  sampling frameworks for large-scale criminological=20
  surveys.<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Master=20
  data cleaning and preprocessing for criminological=20
  datasets.<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Critically=20
  assess quantitative criminology literature.<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l7 leve=
l1 lfo1; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Interpret=20
  quantitative outputs for academic and practical=20
  application.<o:p></o:p></SPAN></LI></OL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Target=20
Audiences</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<OL style=3D"MARGIN-TOP: 0cm" type=3D1>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l11 lev=
el1 lfo2; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Criminologists=20
  and crime researchers<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l11 lev=
el1 lfo2; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Law=20
  enforcement data analysts<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l11 lev=
el1 lfo2; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Graduate=20
  students in criminology or criminal justice<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l11 lev=
el1 lfo2; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Policy=20
  advisors in justice and public safety<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l11 lev=
el1 lfo2; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>NGO=20
  analysts working on crime prevention<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l11 lev=
el1 lfo2; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Criminal=20
  justice faculty and academic researchers<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l11 lev=
el1 lfo2; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Forensic=20
  data specialists<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l11 lev=
el1 lfo2; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Urban=20
  planners and community safety officers<o:p></o:p></SPAN></LI></OL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Course=20
Duration:&nbsp;</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>10=20
days<o:p></o:p></SPAN></P>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Course=20
Modules</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
1: Introduction to Quantitative Criminology</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l10 lev=
el1 lfo3; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Key=20
  concepts in quantitative research<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l10 lev=
el1 lfo3; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Difference=20
  between qualitative and quantitative paradigms<o:p></o:p></SPAN></LI=
>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l10 lev=
el1 lfo3; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Types=20
  of variables in criminological research<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l10 lev=
el1 lfo3; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Measurement=20
  and operationalization of concepts<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l10 lev=
el1 lfo3; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Introduction=20
  to SPSS/R for criminology<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l10 lev=
el1 lfo3; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Comparative analysis of violent crime rates using survey=20
  data<o:p></o:p></SPAN></LI></UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
2: Descriptive and Inferential Statistics</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l12 lev=
el1 lfo4; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Measures=20
  of central tendency and dispersion<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l12 lev=
el1 lfo4; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Probability=20
  theory basics<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l12 lev=
el1 lfo4; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Hypothesis=20
  testing fundamentals<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l12 lev=
el1 lfo4; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>T-tests=20
  and ANOVA in criminology<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l12 lev=
el1 lfo4; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Statistical=20
  assumptions and violations<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l12 lev=
el1 lfo4; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Gender differences in recidivism rates<o:p></o:p></SPAN></LI></UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
3: Correlation and Regression Analysis</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l16 lev=
el1 lfo5; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Pearson=20
  and Spearman correlations<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l16 lev=
el1 lfo5; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Linear=20
  and logistic regression modeling<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l16 lev=
el1 lfo5; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Model=20
  diagnostics and residual analysis<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l16 lev=
el1 lfo5; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Multicollinearity=20
  and variable selection<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l16 lev=
el1 lfo5; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Interpreting=20
  regression outputs<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l16 lev=
el1 lfo5; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Predictors of juvenile delinquency<o:p></o:p></SPAN></LI></UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
4: Multivariate Analysis Techniques</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l6 leve=
l1 lfo6; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>MANOVA=20
  and discriminant analysis<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l6 leve=
l1 lfo6; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Principal=20
  component analysis<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l6 leve=
l1 lfo6; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Cluster=20
  analysis in crime mapping<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l6 leve=
l1 lfo6; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Factor=20
  analysis for crime perception studies<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l6 leve=
l1 lfo6; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Canonical=20
  correlation<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l6 leve=
l1 lfo6; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Classifying urban neighborhoods by crime types<o:p></o:p></SPAN></LI=
></UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
5: Structural Equation Modeling (SEM)</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l14 lev=
el1 lfo7; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Introduction=20
  to SEM in criminology<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l14 lev=
el1 lfo7; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Confirmatory=20
  factor analysis (CFA)<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l14 lev=
el1 lfo7; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Model=20
  fit indices and interpretation<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l14 lev=
el1 lfo7; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Path=20
  analysis and latent constructs<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l14 lev=
el1 lfo7; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Application=20
  using AMOS/LISREL<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l14 lev=
el1 lfo7; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  SEM analysis of strain theory<o:p></o:p></SPAN></LI></UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
6: Multilevel Modeling</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l5 leve=
l1 lfo8; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Hierarchical=20
  linear models (HLM)<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l5 leve=
l1 lfo8; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Random=20
  intercept and random slope models<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l5 leve=
l1 lfo8; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Applications=20
  in school or neighborhood studies<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l5 leve=
l1 lfo8; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Cross-level=20
  interactions<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l5 leve=
l1 lfo8; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Model=20
  estimation using R/MLwiN<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l5 leve=
l1 lfo8; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Impact of school policies on student crime<o:p></o:p></SPAN></LI></U=
L>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
7: Time Series and Longitudinal Analysis</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l9 leve=
l1 lfo9; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Time=20
  series components and decomposition<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l9 leve=
l1 lfo9; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>ARIMA=20
  models in criminology<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l9 leve=
l1 lfo9; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Longitudinal=20
  panel data analysis<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l9 leve=
l1 lfo9; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Fixed=20
  and random effects models<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l9 leve=
l1 lfo9; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Intervention=20
  analysis<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l9 leve=
l1 lfo9; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Gun legislation effects on homicide trends over 20=20
years<o:p></o:p></SPAN></LI></UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
8: Predictive Crime Modeling</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l0 leve=
l1 lfo10; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Machine=20
  learning for criminology<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l0 leve=
l1 lfo10; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Decision=20
  trees, SVM, random forests<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l0 leve=
l1 lfo10; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Crime=20
  forecasting models<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l0 leve=
l1 lfo10; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Overfitting=20
  and model validation<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l0 leve=
l1 lfo10; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Performance=20
  metrics (AUC, precision, recall)<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l0 leve=
l1 lfo10; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Predicting burglary hotspots using ML<o:p></o:p></SPAN></LI></UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
9: Survey Design and Sampling Techniques</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l8 leve=
l1 lfo11; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Designing=20
  criminological questionnaires<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l8 leve=
l1 lfo11; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Sampling=20
  methods (random, stratified, cluster)<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l8 leve=
l1 lfo11; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Minimizing=20
  response bias<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l8 leve=
l1 lfo11; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Survey=20
  piloting and validation<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l8 leve=
l1 lfo11; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Weighting=20
  and nonresponse adjustments<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l8 leve=
l1 lfo11; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Community crime perception survey<o:p></o:p></SPAN></LI></UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
10: Data Cleaning and Management</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l17 lev=
el1 lfo12; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Missing=20
  data treatment<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l17 lev=
el1 lfo12; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Data=20
  transformation and normalization<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l17 lev=
el1 lfo12; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Variable=20
  coding and labeling<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l17 lev=
el1 lfo12; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Handling=20
  outliers<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l17 lev=
el1 lfo12; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Documentation=20
  and codebooks<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l17 lev=
el1 lfo12; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Cleaning national crime victimization data<o:p></o:p></SPAN></LI></U=
L>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
11: Big Data in Criminology</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l15 lev=
el1 lfo13; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Introduction=20
  to big data sources<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l15 lev=
el1 lfo13; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Data=20
  mining for crime analysis<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l15 lev=
el1 lfo13; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Using=20
  social media and IoT for crime mapping<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l15 lev=
el1 lfo13; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Real-time=20
  analytics for law enforcement<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l15 lev=
el1 lfo13; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Ethical=20
  issues in big data use<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l15 lev=
el1 lfo13; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Twitter-based crime trend analysis<o:p></o:p></SPAN></LI></UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
12: Geospatial Analysis of Crime</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l2 leve=
l1 lfo14; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>GIS=20
  mapping fundamentals<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l2 leve=
l1 lfo14; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Spatial=20
  autocorrelation<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l2 leve=
l1 lfo14; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Hotspot=20
  analysis (KDE, Getis-Ord Gi*)<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l2 leve=
l1 lfo14; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Crime=20
  mapping software (ArcGIS, QGIS)<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l2 leve=
l1 lfo14; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Integrating=20
  spatial and statistical data<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l2 leve=
l1 lfo14; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Mapping and analyzing gang activity<o:p></o:p></SPAN></LI></UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
13: Ethical Issues in Quantitative Criminology</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l1 leve=
l1 lfo15; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Informed=20
  consent and data anonymity<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l1 leve=
l1 lfo15; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Handling=20
  sensitive crime data<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l1 leve=
l1 lfo15; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Ethical=20
  review processes<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l1 leve=
l1 lfo15; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Bias=20
  and objectivity in analysis<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l1 leve=
l1 lfo15; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Transparency=20
  and reproducibility<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l1 leve=
l1 lfo15; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Ethical dilemmas in juvenile crime datasets<o:p></o:p></SPAN></LI></=
UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
14: Interpreting and Publishing Quantitative Research</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l13 lev=
el1 lfo16; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Structuring=20
  a quantitative research paper<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l13 lev=
el1 lfo16; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Writing=20
  statistical results<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l13 lev=
el1 lfo16; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Visualizing=20
  data for journals<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l13 lev=
el1 lfo16; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Peer-review=20
  considerations<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l13 lev=
el1 lfo16; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Open-access=20
  vs. indexed journals<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l13 lev=
el1 lfo16; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Publishing a study on police accountability<o:p></o:p></SPAN></LI></=
UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Module=20
15: Capstone Research Project</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l3 leve=
l1 lfo17; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Proposal=20
  development<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l3 leve=
l1 lfo17; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Data=20
  collection and analysis<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l3 leve=
l1 lfo17; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Application=20
  of at least two advanced methods<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l3 leve=
l1 lfo17; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Peer=20
  critique and revision<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l3 leve=
l1 lfo17; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Final=20
  presentation<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l3 leve=
l1 lfo17; tab-stops: list 36.0pt"><B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Case=20
  Study</SPAN></B><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>:=20
  Independent research on cybercrime patterns using national=20
  data<o:p></o:p></SPAN></LI></UL>
<P class=3DMsoNormal style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt=
"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'>Training=20
Methodology</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0cm" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l4 leve=
l1 lfo18; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Interactive=20
  lectures with data demonstrations<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l4 leve=
l1 lfo18; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Hands-on=20
  labs with SPSS, R, STATA, ArcGIS<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l4 leve=
l1 lfo18; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Group=20
  analysis projects using real-world datasets<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l4 leve=
l1 lfo18; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Expert-led=20
  case study discussions<o:p></o:p></SPAN></LI>
  <LI class=3DMsoNormal=20
  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l4 leve=
l1 lfo18; tab-stops: list 36.0pt"><SPAN=20
  style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'>Pre-=20
  and post-assessments to track learning outcomes<o:p></o:p></SPAN></L=
I>
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  style=3D"TEXT-ALIGN: justify; MARGIN: 0cm 0cm 8pt; mso-list: l4 leve=
l1 lfo18; tab-stops: list 36.0pt"><SPAN=20
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-HEIGHT: 107%'>Ongoing=20
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