NURP

5013

Quantitative Methods

Schools of Public Engagement: Milano General Curriculum

Non-Liberal Arts

Undergraduate Course

Graduate Course

Degree Students (with Restrictions)

Quantitative Methods

Spring 2020

Taught By: Nebahat Tokatli

Section: A

CRN: 2413

Credits: 3

This course covers basic statistical methods and how to apply them to policy analysis and management decision-making. Students develop an appreciation for statistics, become statistically literate, learn to use statistical techniques properly, gain confidence using statistical software, and acquire the skills necessary to look at statistical analyses critically. (Offered Fall and Spring Term.) EPSM/NPM/OCM/PUP-MS Requirement. Before taking Quantitative Methods visit the Math Review page at milanoschool.org/math-review/ and complete the Math Module: Review and Quiz. This self-test is made available to help you gauge your preparedness for the course.

College: Schools of Public Engagement (NS)

Department: Milano General Curriculum (NMIL)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Add/Drop Deadline: February 3, 2020 (Monday)

Online Withdrawal Deadline: April 12, 2020 (Sunday)

Seats Available: Yes

Status: Open*

*Status information is updated every five minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 3:15pm 11/22/2019 EST

Meeting Info:

Days: Thursday

Times: 6:00pm - 7:50pm

Building: TBD

Room: TBD

Date Range: 1/23/2020 - 5/7/2020

Days: Thursday

Times: 8:00pm - 9:50pm

Building: TBD

Room: TBD

Date Range: 1/23/2020 - 5/7/2020

Quantitative Methods

Spring 2020

Taught By: Rachel Meltzer

Section: B

CRN: 2412

Credits: 3

This course covers basic statistical methods and how to apply them to policy analysis and management decision-making. Students develop an appreciation for statistics, become statistically literate, learn to use statistical techniques properly, gain confidence using statistical software, and acquire the skills necessary to look at statistical analyses critically. (Offered Fall and Spring Term.) EPSM/NPM/OCM/PUP-MS Requirement. Before taking Quantitative Methods visit the Math Review page at milanoschool.org/math-review/ and complete the Math Module: Review and Quiz. This self-test is made available to help you gauge your preparedness for the course.

College: Schools of Public Engagement (NS)

Department: Milano General Curriculum (NMIL)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 25

Add/Drop Deadline: February 9, 2020 (Sunday)

Online Withdrawal Deadline: April 12, 2020 (Sunday)

Seats Available: Yes

Status: Open*

*Status information is updated every five minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 3:15pm 11/22/2019 EST

Meeting Info:

Days: Monday

Times: 1:55pm - 3:45pm

Building: TBD

Room: TBD

Date Range: 1/27/2020 - 5/11/2020

Days: Monday

Times: 4:00pm - 5:50pm

Building: TBD

Room: TBD

Date Range: 1/27/2020 - 5/11/2020

Quantitative Methods

Fall 2019

Taught By: Nebahat Tokatli

Section: A

CRN: 2490

Credits: 3

This course covers basic statistical methods and how to apply them to policy analysis and management decision-making. Students develop an appreciation for statistics, become statistically literate, learn to use statistical techniques properly, gain confidence using statistical software, and acquire the skills necessary to look at statistical analyses critically. (Offered Fall and Spring Term.) EPSM/NPM/OCM/PUP-MS Requirement. Before taking Quantitative Methods visit the Math Review page at milanoschool.org/math-review/ and complete the Math Module: Review and Quiz. This self-test is made available to help you gauge your preparedness for the course.

College: Schools of Public Engagement (NS)

Department: Milano General Curriculum (NMIL)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 25

Add/Drop Deadline: September 9, 2019 (Monday)

Online Withdrawal Deadline: November 17, 2019 (Sunday)

Seats Available: Yes

Status: Closed*

*Status information is updated every five minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 3:17pm 11/22/2019 EST

Meeting Info:

Days: Monday

Times: 1:55pm - 3:45pm

Building: 6 East 16th Street

Room: 1102

Date Range: 8/26/2019 - 12/16/2019

Days: Monday

Times: 4:00pm - 5:50pm

Building: 6 East 16th Street

Room: 1109

Date Range: 8/26/2019 - 12/16/2019

Quantitative Methods

Fall 2019

Taught By: Rajendra Persaud

Section: B

CRN: 2491

Credits: 3

This course covers basic statistical methods and how to apply them to policy analysis and management decision-making. Students develop an appreciation for statistics, become statistically literate, learn to use statistical techniques properly, gain confidence using statistical software, and acquire the skills necessary to look at statistical analyses critically. (Offered Fall and Spring Term.) EPSM/NPM/OCM/PUP-MS Requirement. Before taking Quantitative Methods visit the Math Review page at milanoschool.org/math-review/ and complete the Math Module: Review and Quiz. This self-test is made available to help you gauge your preparedness for the course.

College: Schools of Public Engagement (NS)

Department: Milano General Curriculum (NMIL)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 25

Add/Drop Deadline: September 9, 2019 (Monday)

Online Withdrawal Deadline: November 17, 2019 (Sunday)

Seats Available: Yes

Status: Closed*

*Status information is updated every five minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 3:17pm 11/22/2019 EST

Meeting Info:

Days: Thursday

Times: 6:00pm - 7:50pm

Building: Academic Entrance 63 Fifth Ave

Room: 304

Date Range: 8/29/2019 - 12/12/2019

Days: Thursday

Times: 8:00pm - 9:50pm

Building: Academic Entrance 63 Fifth Ave

Room: L107

Date Range: 8/29/2019 - 12/12/2019