Subject: Computer & Info Sci (UG) (CISC)

CRN: 20911

In Person | Lecture/Lab

St Paul: O'Shaughnessy Science Hall 429

Requirements Met:
     Liberal Arts Bus Minor Appr

Instructor: TBD

Introduction to problem solving with computers, using programming languages common to science and engineering disciplines; logical thinking, design and implementation of algorithms; and basic programming structures. Introduction to hardware and software: how computers acquire, store, process, and output information; how computer systems are designed, programmed, and tested. Students will use both a scientific programming language and an application package designed to implement programming features at a level more accessible to non-programmers. This course is designed for students majoring in Engineering or the sciences. Majors in the Department of Computer and Information Sciences should take CISC 131. Please see your academic advisor to ensure you select the appropriate class. Lab included. NOTE: Students who receive credit for CISC 130 may not receive credit for CISC 131. Prerequisite: Placement into MATH 108 or higher or completion of DASC 120 or DASC 112 with a C- or better, or completion of one of: MATH 006, 007, 107,108, 109, 113, 114, or 200.

4 Credits

Subject: Computer & Info Sci (UG) (CISC)

CRN: 20912

In Person | Lecture/Lab

St Paul: O'Shaughnessy Science Hall 428

St Paul: O'Shaughnessy Science Hall 429

Requirements Met:
     Liberal Arts Bus Minor Appr

Instructor: TBD

Introduction to problem solving with computers, using programming languages common to science and engineering disciplines; logical thinking, design and implementation of algorithms; and basic programming structures. Introduction to hardware and software: how computers acquire, store, process, and output information; how computer systems are designed, programmed, and tested. Students will use both a scientific programming language and an application package designed to implement programming features at a level more accessible to non-programmers. This course is designed for students majoring in Engineering or the sciences. Majors in the Department of Computer and Information Sciences should take CISC 131. Please see your academic advisor to ensure you select the appropriate class. Lab included. NOTE: Students who receive credit for CISC 130 may not receive credit for CISC 131. Prerequisite: Placement into MATH 108 or higher or completion of DASC 120 or DASC 112 with a C- or better, or completion of one of: MATH 006, 007, 107,108, 109, 113, 114, or 200.

4 Credits

Subject: Computer & Info Sci (UG) (CISC)

CRN: 20913

In Person | Lecture/Lab

St Paul: O'Shaughnessy Science Hall 429

Requirements Met:
     Liberal Arts Bus Minor Appr

Instructor: TBD

Introduction to problem solving with computers, using programming languages common to science and engineering disciplines; logical thinking, design and implementation of algorithms; and basic programming structures. Introduction to hardware and software: how computers acquire, store, process, and output information; how computer systems are designed, programmed, and tested. Students will use both a scientific programming language and an application package designed to implement programming features at a level more accessible to non-programmers. This course is designed for students majoring in Engineering or the sciences. Majors in the Department of Computer and Information Sciences should take CISC 131. Please see your academic advisor to ensure you select the appropriate class. Lab included. NOTE: Students who receive credit for CISC 130 may not receive credit for CISC 131. Prerequisite: Placement into MATH 108 or higher or completion of DASC 120 or DASC 112 with a C- or better, or completion of one of: MATH 006, 007, 107,108, 109, 113, 114, or 200.

4 Credits

Subject: Computer & Info Sci (UG) (CISC)

CRN: 20914

In Person | Lecture/Lab

St Paul: O'Shaughnessy Science Hall 429

Requirements Met:
     Liberal Arts Bus Minor Appr

Instructor: TBD

Introduction to problem solving with computers, using programming languages common to science and engineering disciplines; logical thinking, design and implementation of algorithms; and basic programming structures. Introduction to hardware and software: how computers acquire, store, process, and output information; how computer systems are designed, programmed, and tested. Students will use both a scientific programming language and an application package designed to implement programming features at a level more accessible to non-programmers. This course is designed for students majoring in Engineering or the sciences. Majors in the Department of Computer and Information Sciences should take CISC 131. Please see your academic advisor to ensure you select the appropriate class. Lab included. NOTE: Students who receive credit for CISC 130 may not receive credit for CISC 131. Prerequisite: Placement into MATH 108 or higher or completion of DASC 120 or DASC 112 with a C- or better, or completion of one of: MATH 006, 007, 107,108, 109, 113, 114, or 200.

4 Credits

Subject: Computer & Info Sci (UG) (CISC)

CRN: 20915

In Person | Lecture/Lab

St Paul: O'Shaughnessy Science Hall 429

Requirements Met:
     Liberal Arts Bus Minor Appr

Instructor: TBD

Introduction to problem solving with computers, using programming languages common to science and engineering disciplines; logical thinking, design and implementation of algorithms; and basic programming structures. Introduction to hardware and software: how computers acquire, store, process, and output information; how computer systems are designed, programmed, and tested. Students will use both a scientific programming language and an application package designed to implement programming features at a level more accessible to non-programmers. This course is designed for students majoring in Engineering or the sciences. Majors in the Department of Computer and Information Sciences should take CISC 131. Please see your academic advisor to ensure you select the appropriate class. Lab included. NOTE: Students who receive credit for CISC 130 may not receive credit for CISC 131. Prerequisite: Placement into MATH 108 or higher or completion of DASC 120 or DASC 112 with a C- or better, or completion of one of: MATH 006, 007, 107,108, 109, 113, 114, or 200.

4 Credits

Subject: Computer & Info Sci (UG) (CISC)

CRN: 20918

In Person | Lecture

St Paul: John Roach Center 426

Requirements Met:
     Liberal Arts Bus Minor Appr

Instructor: TBD

This course will prepare students to use computers in a business environment and in daily life. It will provide an introduction to programming and problem solving for non-majors. Spreadsheet and database software will be used to solve problems related to business. The course includes an overview of hardware and software, how computers acquire and process information, and related topics. NOTE: Students who receive credit for CISC 200 may not receive credit for CISC 110 or 216.

4 Credits

Subject: Computer & Info Sci (UG) (CISC)

CRN: 20919

In Person | Lecture

St Paul: John Roach Center 426

Requirements Met:
     Liberal Arts Bus Minor Appr

Instructor: TBD

This course will prepare students to use computers in a business environment and in daily life. It will provide an introduction to programming and problem solving for non-majors. Spreadsheet and database software will be used to solve problems related to business. The course includes an overview of hardware and software, how computers acquire and process information, and related topics. NOTE: Students who receive credit for CISC 200 may not receive credit for CISC 110 or 216.

4 Credits

Subject: Computer & Info Sci (UG) (CISC)

CRN: 20920

In Person | Lecture

St Paul: O'Shaughnessy Science Hall 432

Requirements Met:
     Liberal Arts Bus Minor Appr

  Sarah Bowe

This course will prepare students to use computers in a business environment and in daily life. It will provide an introduction to programming and problem solving for non-majors. Spreadsheet and database software will be used to solve problems related to business. The course includes an overview of hardware and software, how computers acquire and process information, and related topics. NOTE: Students who receive credit for CISC 200 may not receive credit for CISC 110 or 216.

4 Credits

Subject: Computer & Info Sci (UG) (CISC)

CRN: 20921

In Person | Lecture

St Paul: O'Shaughnessy Science Hall 431

Requirements Met:
     Liberal Arts Bus Minor Appr

Instructor: TBD

This course will prepare students to use computers in a business environment and in daily life. It will provide an introduction to programming and problem solving for non-majors. Spreadsheet and database software will be used to solve problems related to business. The course includes an overview of hardware and software, how computers acquire and process information, and related topics. NOTE: Students who receive credit for CISC 200 may not receive credit for CISC 110 or 216.

4 Credits

Subject: Computer & Info Sci (UG) (CISC)

CRN: 20922

In Person | Lecture

St Paul: O'Shaughnessy Science Hall 431

Requirements Met:
     Liberal Arts Bus Minor Appr

Instructor: TBD

This course will prepare students to use computers in a business environment and in daily life. It will provide an introduction to programming and problem solving for non-majors. Spreadsheet and database software will be used to solve problems related to business. The course includes an overview of hardware and software, how computers acquire and process information, and related topics. NOTE: Students who receive credit for CISC 200 may not receive credit for CISC 110 or 216.

4 Credits

Subject: Data Science (DASC)

CRN: 20973

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

4 Credits

Subject: Data Science (DASC)

CRN: 20974

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

  Elizabeth Hoefer

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

4 Credits

Subject: Data Science (DASC)

CRN: 20975

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

  Elizabeth Hoefer

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

4 Credits

Subject: Data Science (DASC)

CRN: 20976

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

4 Credits

Subject: Data Science (DASC)

CRN: 20977

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

4 Credits

Subject: Data Science (DASC)

CRN: 20978

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

  Amelia McNamara

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

4 Credits

Subject: Data Science (DASC)

CRN: 20979

In Person | Lab

St Paul: O'Shaughnessy Science Hall 432

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20980

In Person | Lab

St Paul: O'Shaughnessy Science Hall 434

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20981

In Person | Lab

St Paul: John Roach Center 426

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20982

In Person | Lab

St Paul: John Roach Center 426

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20983

In Person | Lab

St Paul: O'Shaughnessy Science Hall 434

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20984

In Person | Lab

St Paul: O'Shaughnessy Science Hall 434

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20985

In Person | Lab

St Paul: John Roach Center 426

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20986

In Person | Lab

St Paul: John Roach Center 426

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20987

In Person | Lab

St Paul: O'Shaughnessy Science Hall 434

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20988

In Person | Lab

St Paul: O'Shaughnessy Science Hall 432

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20989

In Person | Lab

St Paul: O'Shaughnessy Science Hall 432

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20990

In Person | Lab

St Paul: O'Shaughnessy Science Hall 434

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20991

In Person | Lab

St Paul: John Roach Center 426

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20992

In Person | Lab

St Paul: John Roach Center 426

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20993

In Person | Lab

St Paul: O'Shaughnessy Science Hall 434

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20994

In Person | Lab

St Paul: O'Shaughnessy Science Hall 434

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Data Science (DASC)

CRN: 20995

In Person | Lab

St Paul: John Roach Center 426

Core Requirements Met:
     [Core] Quant Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 007, 100, 101, 103, 104, 105, 107, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.

0 Credits

Subject: Economics (UG) (ECON)

CRN: 21019

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21020

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21021

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21022

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21023

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21024

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21025

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21026

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21027

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21028

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21029

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21030

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21031

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21032

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21033

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to macroeconomics: national income analysis, unemployment, price stability, and growth; monetary and fiscal policies; international trade and finance; application of economic theory to current problems. Students who enroll in this course are expected to be able to use high-school algebra.

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21034

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21035

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21036

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21037

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21038

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21039

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21040

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21041

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21042

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21043

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21044

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21045

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21046

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits

Subject: Economics (UG) (ECON)

CRN: 21047

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Soc Sci Analysis

Other Requirements Met:
     Liberal Arts Bus Minor Appr
     School of Ed Transfer Course

Instructor: TBD

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. 

4 Credits