Courses
Fall Term Schedule
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Fall 2017
Number  Title  Instructor  Time 

STT 201 (MTH 201)
HERMAN M
MW 10:25AM  11:40AM


Probability spaces; combinatorial problems; random variables and expectations; discrete and continuous distributions; generating functions; independence and dependence; binomial, normal, and Poisson laws; laws of large numbers. MTH 162 (or equivalent) is a strict prerequisite and must be completed before taking 201. MTH 162 and 201 cannot be taken concurrently. This course uses the Tuesday/Thursday 08:0009:30am Common Exam time. BUILDING: GRGEN  ROOM: 108 PREREQUISITES: MTH 162 or equivalent, MTH 164 recommended. Same as STT 201. 

STT 201 (MTH 201)
KRISHNAN A
MW 2:00PM  3:15PM


Probability spaces; combinatorial problems; random variables and expectations; discrete and continuous distributions; generating functions; independence and dependence; binomial, normal, and Poisson laws; laws of large numbers. MTH 162 (or equivalent) is a strict prerequisite and must be completed before taking 201. MTH 162 and 201 cannot be taken concurrently. This course uses the Tuesday/Thursday 08:0009:30am Common Exam time. BUILDING: DEWEY  ROOM: 2162 PREREQUISITES: MTH 162 or equivalent, MTH 164 recommended. Same as STT 201. 

STT 211
ZAINO N
MW 11:50AM  1:05PM


Descriptive statistics, statistical analysis, and statistical inference as used in the social sciences; including elements of correlation, regression, and analysis of variance. Excel, Minitab and similar programs. Please note that, because of the significant overlap between them, students may earn degree credit for only one of these courses: BCS 200, CSP/PSI 211, STT 211 and STT 212. BUILDING: B&L  ROOM: 106 

STT 212
BAUTISTA J
TR 4:50PM  6:05PM


Descriptive statistics, statistical analysis, and statistical inference as used in the biological and physical sciences; including elements of correlation, regression, and analysis of variance. Excel, Minitab and similar programs. Pleaae note that, because of the significant overlap between them, students may earn degree credit for only one of these courses: BCS 200, CSP/PSI 211, STT 211 and STT 212. BUILDING: HARK  ROOM: 115 

STT 212
ZAINO N
TR 9:40AM  10:55AM


Descriptive statistics, statistical analysis, and statistical inference as used in the biological and physical sciences; including elements of correlation, regression, and analysis of variance. Excel, Minitab and similar programs. Pleaae note that, because of the significant overlap between them, students may earn degree credit for only one of these courses: BCS 200, CSP/PSI 211, STT 211 and STT 212. BUILDING: MEL  ROOM: 203 

STT 212
MCDERMOTT M
TR 11:05AM  12:20PM


Descriptive statistics, statistical analysis, and statistical inference as used in the biological and physical sciences; including elements of correlation, regression, and analysis of variance. Excel, Minitab and similar programs. Pleaae note that, because of the significant overlap between them, students may earn degree credit for only one of these courses: BCS 200, CSP/PSI 211, STT 211 and STT 212. BUILDING: STRNG  ROOM: LOWER 

STT 212
CIMINELLI J
TR 11:05AM  12:20PM


Descriptive statistics, statistical analysis, and statistical inference as used in the biological and physical sciences; including elements of correlation, regression, and analysis of variance. Excel, Minitab and similar programs. Pleaae note that, because of the significant overlap between them, students may earn degree credit for only one of these courses: BCS 200, CSP/PSI 211, STT 211 and STT 212. BUILDING: HYLAN  ROOM: 202 

STT 212
–
F 2:00PM  3:15PM


No description BUILDING: MOREY  ROOM: 205 

STT 212
BAUTISTA J
R 6:15PM  7:30PM


No description BUILDING: HARK  ROOM: 115 

STT 213
MCDERMOTT M
TR 9:40AM  10:55AM


This course is an introduction to the probability and statistical theory underlying the estimation of parameters and testing of hypotheses. Linear correlation and simple regression analysis are also introduced. Students will learn how to use the statistical programming language R to analyze data. BUILDING: STRNG  ROOM: LOWER PREREQUISITES: MTH 141 or equivalent. 

STT 221W (STT 221W)
PODURI R
TR 12:30PM  1:45PM


Simple random, stratified, systematic, and cluster sampling; estimation of the means, proportions, variance, and ratios of a finite population. Ratio and regression methods of estimation and the use of auxiliary information. The nonresponse problem. Prerequisite: familiarity with the concepts of expectation, variance, covariance and correlation. BUILDING: HYLAN  ROOM: 102 PREREQUISITES: STT 211, STT 212 or STT 213, and 203 or equivalent. 

STT 277 (STT 277)
HECKLER C
TR 9:40AM  10:55AM


The first half of this course covers the elements of programming in R, SAS, and operation of the JMP graphical user interface. The student will learn how to get data into (and out of) these programs, execute fundamental statistical procedures, and write programs in R and SAS to document and automate analyses. The second half explores the use of this software to understand data from observational studies. The student will learn the philosophy, capabilities, and pitfalls of exploratory data analysis. Univariate, bivariate and multivariate methods will be introduced. Graphical methods will be emphasized, but numericallyoriented procedures such as linear models will be included where appropriate. Each student will analyze a reallife data set in some depth and write a report. Registration priority will be given to Statistics majors who will be taking the course in their senior year. BUILDING: GAVET  ROOM: 244 PREREQUISITES: Instructor permission required. STT 212 and STT 216 or 226. Basic skills with the Windows operating system, a text editor (such as Notepad), and Microsoft Excel is assumed. CROSS LISTED with STT 477. 

STT 390
–
–


No description BUILDING:  ROOM: 

STT 391
–
–


No description BUILDING:  ROOM: 

STT 392
–
–


No description BUILDING:  ROOM: 

STT 394
–
–


No description BUILDING:  ROOM: 

STT 395
–
–


No description BUILDING:  ROOM: 

STT 477 (STT 277)
HECKLER C
TR 9:40AM  10:55AM


The first half of this course covers the elements of programming in R, SAS, and operation of the JMP graphical user interface. The student will learn how to get data into (and out of) these programs, execute fundamental statistical procedures, and write programs in R and SAS to document and automate analyses. The second half explores the use of this software to understand data from observational studies. The student will learn the philosophy, capabilities, and pitfalls of exploratory data analysis. Univariate, bivariate and multivariate methods will be introduced. Graphical methods will be emphasized, but numericallyoriented procedures such as linear models will be included where appropriate. Each student will analyze a reallife data set in some depth and write a report. Registration priority will be given to Statistics majors who will be taking the course in their senior year. BUILDING: GAVET  ROOM: 244 PREREQUISITES: Instructor permission required. STT 212 and STT 216 or 226. Basic skills with the Windows operating system, a text editor (such as Notepad), and Microsoft Excel is assumed. CROSS LISTED with STT 477. 

STT 591
–
–


No description BUILDING:  ROOM: 

STT 595
–
–


No description BUILDING:  ROOM: 

STT 595A
–
–


No description BUILDING:  ROOM: 

STT 899
–
–


No description BUILDING:  ROOM: 

STT 999
–
–


No description BUILDING:  ROOM: 

STT 999A
–
–


No description BUILDING:  ROOM: 
Fall 2017
Number  Title  Instructor  Time 

Monday and Wednesday  
STT 201 (MTH 201)
HERMAN M
MW 10:25AM  11:40AM


Probability spaces; combinatorial problems; random variables and expectations; discrete and continuous distributions; generating functions; independence and dependence; binomial, normal, and Poisson laws; laws of large numbers. MTH 162 (or equivalent) is a strict prerequisite and must be completed before taking 201. MTH 162 and 201 cannot be taken concurrently. This course uses the Tuesday/Thursday 08:0009:30am Common Exam time. BUILDING: GRGEN  ROOM: 108 PREREQUISITES: MTH 162 or equivalent, MTH 164 recommended. Same as STT 201. 

STT 211
ZAINO N
MW 11:50AM  1:05PM


Descriptive statistics, statistical analysis, and statistical inference as used in the social sciences; including elements of correlation, regression, and analysis of variance. Excel, Minitab and similar programs. Please note that, because of the significant overlap between them, students may earn degree credit for only one of these courses: BCS 200, CSP/PSI 211, STT 211 and STT 212. BUILDING: B&L  ROOM: 106 

STT 201 (MTH 201)
KRISHNAN A
MW 2:00PM  3:15PM


Probability spaces; combinatorial problems; random variables and expectations; discrete and continuous distributions; generating functions; independence and dependence; binomial, normal, and Poisson laws; laws of large numbers. MTH 162 (or equivalent) is a strict prerequisite and must be completed before taking 201. MTH 162 and 201 cannot be taken concurrently. This course uses the Tuesday/Thursday 08:0009:30am Common Exam time. BUILDING: DEWEY  ROOM: 2162 PREREQUISITES: MTH 162 or equivalent, MTH 164 recommended. Same as STT 201. 

Tuesday and Thursday  
STT 277 (STT 277)
HECKLER C
TR 9:40AM  10:55AM


The first half of this course covers the elements of programming in R, SAS, and operation of the JMP graphical user interface. The student will learn how to get data into (and out of) these programs, execute fundamental statistical procedures, and write programs in R and SAS to document and automate analyses. The second half explores the use of this software to understand data from observational studies. The student will learn the philosophy, capabilities, and pitfalls of exploratory data analysis. Univariate, bivariate and multivariate methods will be introduced. Graphical methods will be emphasized, but numericallyoriented procedures such as linear models will be included where appropriate. Each student will analyze a reallife data set in some depth and write a report. Registration priority will be given to Statistics majors who will be taking the course in their senior year. BUILDING: GAVET  ROOM: 244 PREREQUISITES: Instructor permission required. STT 212 and STT 216 or 226. Basic skills with the Windows operating system, a text editor (such as Notepad), and Microsoft Excel is assumed. CROSS LISTED with STT 477. 

STT 477 (STT 277)
HECKLER C
TR 9:40AM  10:55AM


The first half of this course covers the elements of programming in R, SAS, and operation of the JMP graphical user interface. The student will learn how to get data into (and out of) these programs, execute fundamental statistical procedures, and write programs in R and SAS to document and automate analyses. The second half explores the use of this software to understand data from observational studies. The student will learn the philosophy, capabilities, and pitfalls of exploratory data analysis. Univariate, bivariate and multivariate methods will be introduced. Graphical methods will be emphasized, but numericallyoriented procedures such as linear models will be included where appropriate. Each student will analyze a reallife data set in some depth and write a report. Registration priority will be given to Statistics majors who will be taking the course in their senior year. BUILDING: GAVET  ROOM: 244 PREREQUISITES: Instructor permission required. STT 212 and STT 216 or 226. Basic skills with the Windows operating system, a text editor (such as Notepad), and Microsoft Excel is assumed. CROSS LISTED with STT 477. 

STT 212
ZAINO N
TR 9:40AM  10:55AM


Descriptive statistics, statistical analysis, and statistical inference as used in the biological and physical sciences; including elements of correlation, regression, and analysis of variance. Excel, Minitab and similar programs. Pleaae note that, because of the significant overlap between them, students may earn degree credit for only one of these courses: BCS 200, CSP/PSI 211, STT 211 and STT 212. BUILDING: MEL  ROOM: 203 

STT 213
MCDERMOTT M
TR 9:40AM  10:55AM


This course is an introduction to the probability and statistical theory underlying the estimation of parameters and testing of hypotheses. Linear correlation and simple regression analysis are also introduced. Students will learn how to use the statistical programming language R to analyze data. BUILDING: STRNG  ROOM: LOWER PREREQUISITES: MTH 141 or equivalent. 

STT 212
CIMINELLI J
TR 11:05AM  12:20PM


Descriptive statistics, statistical analysis, and statistical inference as used in the biological and physical sciences; including elements of correlation, regression, and analysis of variance. Excel, Minitab and similar programs. Pleaae note that, because of the significant overlap between them, students may earn degree credit for only one of these courses: BCS 200, CSP/PSI 211, STT 211 and STT 212. BUILDING: HYLAN  ROOM: 202 

STT 212
MCDERMOTT M
TR 11:05AM  12:20PM


Descriptive statistics, statistical analysis, and statistical inference as used in the biological and physical sciences; including elements of correlation, regression, and analysis of variance. Excel, Minitab and similar programs. Pleaae note that, because of the significant overlap between them, students may earn degree credit for only one of these courses: BCS 200, CSP/PSI 211, STT 211 and STT 212. BUILDING: STRNG  ROOM: LOWER 

STT 221W (STT 221W)
PODURI R
TR 12:30PM  1:45PM


Simple random, stratified, systematic, and cluster sampling; estimation of the means, proportions, variance, and ratios of a finite population. Ratio and regression methods of estimation and the use of auxiliary information. The nonresponse problem. Prerequisite: familiarity with the concepts of expectation, variance, covariance and correlation. BUILDING: HYLAN  ROOM: 102 PREREQUISITES: STT 211, STT 212 or STT 213, and 203 or equivalent. 

STT 212
BAUTISTA J
TR 4:50PM  6:05PM


Descriptive statistics, statistical analysis, and statistical inference as used in the biological and physical sciences; including elements of correlation, regression, and analysis of variance. Excel, Minitab and similar programs. Pleaae note that, because of the significant overlap between them, students may earn degree credit for only one of these courses: BCS 200, CSP/PSI 211, STT 211 and STT 212. BUILDING: HARK  ROOM: 115 

Thursday  
STT 212
BAUTISTA J
R 6:15PM  7:30PM


No description BUILDING: HARK  ROOM: 115 

Friday  
STT 212
–
F 2:00PM  3:15PM


No description BUILDING: MOREY  ROOM: 205 

TBA  
STT 390
–
–


No description BUILDING:  ROOM: 

STT 391
–
–


No description BUILDING:  ROOM: 

STT 392
–
–


No description BUILDING:  ROOM: 

STT 394
–
–


No description BUILDING:  ROOM: 

STT 395
–
–


No description BUILDING:  ROOM: 

STT 591
–
–


No description BUILDING:  ROOM: 

STT 595
–
–


No description BUILDING:  ROOM: 

STT 595A
–
–


No description BUILDING:  ROOM: 

STT 899
–
–


No description BUILDING:  ROOM: 

STT 999
–
–


No description BUILDING:  ROOM: 

STT 999A
–
–


No description BUILDING:  ROOM: 