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Fall 2020 Course Offerings

Core Courses

Required QMSS Classes Course Title Instructor Schedule
SOC 71500* Sociological Statistics I Paul Attewell Monday 4:15-6:15pm
SOC 81900 Quantitative Research Methods Jeremy Porter
Monday 6:30-8:30pm
QMSS 79000 Capstone Jeremy Porter Tuesday 6:30-8:30pm

*Students may choose to take the Statistics I course from the Educational Psychology program (EPSY 70500; Wed 4:15pm) or from the Sociology program, depending on their particular interests.
 


Elective Courses

The courses below are suggested Methods/Stats electives. QMSS students are allowed to take any electives from the GC, and larger CUNY system, as long as it is a master's level class or higher and you believe that it aligns with your research interests.  
 
Course No. Subject Instructor Days and Times Notes
QMSS 75000 Methods of Demographic Analysis Heiland, Frank We 4:15pm-6:15pm QMSS Students only
QMSS 75000 Population Dynamics and Climate Change Balk, Deborah Mo 4:15pm-6:15pm QMSS Students only
CSC   84000 Data Mining Sy, Bon K We 9:30am-11:30am Class is open to either CSCI or DATASCI Majors; must request permission from instructor
DHUM 73000        Visualization and Design: Fundamentals Manovich, Lev Mo 4:15pm-6:15pm Same as DATA73000
DATA 73000 Visualization and Design: Fundamentals Manovich, Lev Mo 4:15pm-6:15pm Same as DHUM73000
DCP 70100 Introduction to Demography   Th 
4:15pm-6:15pm
Open to all students at GC
ECO 82300 Applied Econometrics Vijverberg, Wim P Th 9:30am-12:30pm Class is open to either ECON or BUS Majors; must request permission from instructor
EES 79903 Intro: Geo Information Systems   Tu 
6:30pm-8:30pm
Open to all students at GC
EPSY 70200 Foundations and Contemporary Issues in Educational Psychology Lipnevich, Anastasiya TBA Open to all students at GC
EPSY 70500 Stat & Comp Programming I Rindskopf, David We 4:15pm - 8:30pm Open to all students at GC
EPSY 83200 Stat Theories of Ment Testing Verkuilen, John Tu 4:15pm - 6:15pm Open to all students at GC
EPSY 83300 The General Linear Model Verkuilen, John Mo 4:15pm - 6:15pm Open to all students at GC
EPSY 83400 Path Analysis, Factor Analysis and Structural Equation Modelling Markus, Keith We 6:30pm - 8:30pm Open to all students at GC
EPSY 84200 Hierarchical Linear Models Wang, Wei Mo 2:00pm-4:00pm Open to all students at GC
PSC 85509 Quantitative Analysis Weber, Till Tu 6:30pm-8:30pm Open to PSC students only. All other students require permission.
PSC 79100 Research Design in Political Science Alves, Jorge We 4:15pm-6:15pm Open to PSC students only. All other students require permission.
PSYC 70500 Stat Methods in Psychology I Erblich, Joel We 5:30pm-8:30pm Open to all students at GC
PSYC 75000 Psychometric Methods Rendina, H. Jonathon TBA Instructor permission required.
SOC 81900 Spatial Analysis of Social Data Porter, Jeremy Th 6:30pm-8:30pm Open to all students at GC
SOC 82300 Computer Mapping for LA & NY, and Global Cities GIS with Mapinfo: Basic and Advanced Techniques Halle, David We 6:30pom - 8:30pm Open to all students at GC
UED 74100 Quantitative Resaerch Methods in Urban Eduation Battle, Juan We 4:15pm-6:15pm Open to all students at GC
UED 75100 Using Archives in Social Justice Research Opotow, Susan Tu 9:30am-11:30am Open to all students at GC
 

Course Descriptions


  Prof. Jeremy Porter- jporter@gc.cuny.edu
  Soc. 81900: Quantitative Research Methods 
  Mondays, 6:30-8:30pm, 3 credits

This course will cover issues pertaining to the applied research process in the collection, management, and analysis of quantitative data. Methods covered are intended to give students experience with a broad array of specific quantitative methods and a directed focus on the perspectives that underlie the application of such methods. The explicit goal of the course is to give students the foundational tools necessary to do high quality quantitative research in applied and academic settings. A sample of topics covered include; the science of science, the politics and ethics of research, developing novel research ideas, item measurement, instrumentation, sampling, understanding statistical inference, and a wide variety of topics associated with the collection, management, and analysis of quantitative data.

Prof. Paul Attewell- pattewell@gc.cuny.edu
Soc. 71500: Sociological Statistics I
Mondays, 4:15-6:15pm, 3 credits


This is a first course about quantitative methods for social scientists. It presumes no previous coursework, so it is suitable for beginners. However, since most QMSS Masters students do have some background already, the course will move fairly quickly from basic to more advanced topics and go as far into the latter as time and the semester permit. The main focus will be on quantitative methods as tools for interrogating data, rather than on the mathematical or statistical underpinnings. Considerable emphasis will be placed on understanding what statistical tools to use in what contexts, and how to interpret results and how to reconfirm/test findings.

The software we will use is STATA. The class’ format, held in a computer classroom, will be a mix of lecture, demonstrations and student in-class exercises, so that students will have hands-on use of each statistical procedure as well as a theoretical understanding. Students will develop fluency in basic data management as well as in methods of analysis, using STATA.‚Äč