Enrollment and waitlist data for current and upcoming courses refresh every 10 minutes; all other information as of 6:00 AM.
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
3:25 pm |
Subject: Aerospace (AERO)
CRN: 20733
In Person | Lecture
St Paul: In Person
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:15 pm |
Subject: Aerospace (AERO)
CRN: 20734
In Person | Lab
St Paul: In Person
Leadership Laboratory is mandatory for AFROTC cadets (e.g., students pursuing an officer's commission in the USAF) every fall and spring semester unless excused by the department chair for an authorized period of non-attendance. Leadership Laboratory complements each of the courses listed below by providing cadets with leadership and followership experiences.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:15 pm |
Subject: Aerospace (AERO)
CRN: 20735
In Person | Lab
St Paul: In Person
Leadership Laboratory is mandatory for AFROTC cadets (e.g., students pursuing an officer's commission in the USAF) every fall and spring semester unless excused by the department chair for an authorized period of non-attendance. Leadership Laboratory complements each of the courses listed below by providing cadets with leadership and followership experiences.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
6:30 am |
6:30 am |
Subject: Aerospace (AERO)
CRN: 20736
In Person | Lab
St Paul: In Person
AFROTC Physical Fitness Laboratory is mandatory for AFROTC cadets (e.g., students pursuing an officer's commission in the USAF) every fall and spring semester unless excused by the department chair for an authorized period of non-attendance. AFROTC Physical Fitness Laboratory complements each of the courses listed below by providing cadets with leadership, followership, and teambuilding experiences while teaching them to maintain physical fitness required for military service. AFROTC cadets must attend two sessions per week to pass the course. In order to remain in the program and gain a commission, cadets must pass a physical fitness assessment each term.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
6:30 am |
6:30 am |
Subject: Aerospace (AERO)
CRN: 20737
In Person | Lab
St Paul: In Person
AFROTC Physical Fitness Laboratory is mandatory for AFROTC cadets (e.g., students pursuing an officer's commission in the USAF) every fall and spring semester unless excused by the department chair for an authorized period of non-attendance. AFROTC Physical Fitness Laboratory complements each of the courses listed below by providing cadets with leadership, followership, and teambuilding experiences while teaching them to maintain physical fitness required for military service. AFROTC cadets must attend two sessions per week to pass the course. In order to remain in the program and gain a commission, cadets must pass a physical fitness assessment each term.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
3:25 pm |
Subject: Aerospace (AERO)
CRN: 20738
In Person | Lecture
St Paul: Murray-Herrick Campus Center LL04A
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
10:00 am |
Subject: Aerospace (AERO)
CRN: 20739
In Person | Lecture
St Paul: Murray-Herrick Campus Center LL04A
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
8:00 am |
8:00 am |
Subject: Aerospace (AERO)
CRN: 20740
In Person | Lecture
St Paul: Murray-Herrick Campus Center LL04A
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:35 pm |
1:35 pm |
Subject: Amer Culture & Difference (AMCD)
CRN: 20741
In Person | Lecture
St Paul: John Roach Center 227
Core Requirements Met:
[Core] Diversity/Soc Just AND [Core] Integ/Humanities
Other Requirements Met:
Amer Culture & Diff Minor Appr
Writing to learn
In AMCD 200, students learn about the historical and theoretical foundations of Cultural Studies as an academic discipline and use cultural theory to analyze a variety of cultural products and representations. In this course, students look specifically at dominant and subversive constructions of gender, race, ethnicity, national and sexual identities, and how these constructions are deployed through cultural practices and productions such as sports, film and television, folklore and popular culture, youth subcultures, music, and so on. For example, the course may contain units on "nation" and the creation of American mythologies; the process of hero-making in American history; stereotypes and the representation of race and ethnicity in television and film; representations of gender and sexuality in advertising; as well as a section on American music from jazz, blues, folk and roots music, to rock and roll, punk, and hip-hop.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:30 pm |
5:30 pm |
Subject: American Sign Language (AMSL)
CRN: 20742
In Person | Lecture
St Paul: In Person
Core Requirements Met:
[Core] Language/Culture
This course is designed for students with little or no previous knowledge of American Sign Language. Students will acquire basic grammatical skills and vocabulary that will enable them to communicate in routine social or professional situations within an authentic cultural context.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
3:25 pm |
3:25 pm |
Subject: American Sign Language (AMSL)
CRN: 20743
In Person | Lecture
St Paul: In Person
Core Requirements Met:
[Core] Language/Culture
A continuation of AMSL 111, students in this course will advance their communicative proficiency in both social and professional contexts as well as increase their cultural knowledge of the Deaf community. Pre-requisite of AMSL 111 or its equivalent with a grade of C- or better.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:30 pm |
5:30 pm |
Subject: American Sign Language (AMSL)
CRN: 20744
In Person | Lecture
St Paul: In Person
Core Requirements Met:
[Core] Language/Culture
A continuation of AMSL 111, students in this course will advance their communicative proficiency in both social and professional contexts as well as increase their cultural knowledge of the Deaf community. Pre-requisite of AMSL 111 or its equivalent with a grade of C- or better.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:30 pm |
5:30 pm |
Subject: American Sign Language (AMSL)
CRN: 20745
Online: Some Synchronous | Online: Synchronous
Online
Core Requirements Met:
[Core] Language/Culture
AMSL 211 is the third course in a three-course sequence in ASL offered at the University of St. Thomas. This course is designed for students with substantial previous knowledge of American Sign Language. Students will build on basic grammatical skills and vocabulary through the study of intermediate ASL grammatical structures and the development of more in-depth sign vocabulary. This, in turn, will allow students to achieve intermediate productive and receptive signing skills. They will also further develop cultural knowledge and intercultural skills, cultivate the skills needed to interact with the Deaf community in the United States, and explore the study of American Sign Language and culture as an integral part of a liberal arts education. Prerequisites: AMSL 112 or equivalent completed with a C- or better
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:35 pm |
1:35 pm |
Subject: Classical Civilization (CLAS)
CRN: 20976
In Person | Lecture
St Paul: In Person
Core Requirements Met:
[Core] Integ/Humanities
Other Requirements Met:
Class, Civilization Major Appr
Class. Civilization Minor Appr
Writing to learn
This Course focuses on analyzing and understanding Classical epic poetry, the ancient presentation of heroic figures and heroic exploits, and recognizing the influence of epic/heroic literature on the modern storytelling device of film. While the genre of epic is central to the course, other genres (both literary and cinematic) which present he-roic figures, e.g., tragedy, history, comedy, action, fantasy, will also be explored. Analyzing the works read or viewed via writing and class discussion will constitute the primary course activities; students will engage in reading, viewing and writing outside of class, while class time will include some writing, viewing and discussion. In order to allow am-ple time for discussion and analysis, the majority of films in their entirety will be viewed outside of class. The course grade will be based substantially on written analysis (i.e., essays, papers) of the texts and films studied. ENGL 203 may also be substituted for this course.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:35 pm |
1:35 pm |
1:35 pm |
Subject: Classical Civilization (CLAS)
CRN: 20977
In Person | Lecture
St Paul: In Person
Core Requirements Met:
[Core] Integ/Humanities
Other Requirements Met:
Class, Civilization Major Appr
Class. Civilization Minor Appr
Writing to learn
WGSS Major Approved
WGSS Minor Approved
Mythology is the embodiment and encoding of the beliefs, principles, and aspirations of ancient cultures. This course provides an interdisciplinary introduction to mythology as an introduction and foundation to Classical civilization. Both Greek and Roman myths will be examined from a variety of theoretical perspectives, including aetioligical, structuralist, and psychological theories. Consideration will also be given to the study of literature in translation, art history, religion, and history. The course grade will be principally based on writing assignments and class discussions. ENGL 203 may also be substituted for this course.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
3:25 pm |
3:25 pm |
Subject: Classical Civilization (CLAS)
CRN: 20978
In Person | Topics Lecture 1
St Paul: In Person
Requirements Met:
Class, Civilization Major Appr
Class. Civilization Minor Appr
Writing to learn
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule in Murphy Online View Searchable Class Schedule
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
+ asynchronous coursework |
Subject: Data Science (DASC)
CRN: 21005
Online: Asynchronous | Online: Asynchronous
Online
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
Sustainability (SUST)
Instructor: TBD
This course provides students who already have a solid conceptual understanding of statistics the opportunity to apply their knowledge to analyzing data using modern statistical software. Topics include data visualization, inference for one and two samples, analysis of variance, chi-square tests for goodness of fit and association, and simple and multiple linear regression. Prerequisites: DASC 111 or AP Statistics Credit. Note, students who receive credit for DASC 112 may not receive credit for DASC 120.
2 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
10:55 am |
10:55 am |
10:55 am |
Subject: Data Science (DASC)
CRN: 21006
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
Sustainability (SUST)
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
12:15 pm |
12:15 pm |
12:15 pm |
Subject: Data Science (DASC)
CRN: 21007
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
Sustainability (SUST)
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
8:00 am |
8:00 am |
Subject: Data Science (DASC)
CRN: 21008
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
Sustainability (SUST)
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
9:55 am |
9:55 am |
Subject: Data Science (DASC)
CRN: 21009
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
Sustainability (SUST)
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:30 pm |
1:30 pm |
Subject: Data Science (DASC)
CRN: 21010
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
Sustainability (SUST)
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
8:00 am |
Subject: Data Science (DASC)
CRN: 21011
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:30 pm |
Subject: Data Science (DASC)
CRN: 21012
In Person | Lab
St Paul: O'Shaughnessy Science Hall 431
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:30 pm |
Subject: Data Science (DASC)
CRN: 21013
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:30 pm |
Subject: Data Science (DASC)
CRN: 21014
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
7:30 pm |
Subject: Data Science (DASC)
CRN: 21015
In Person | Lab
St Paul: O'Shaughnessy Science Hall 431
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
7:30 pm |
Subject: Data Science (DASC)
CRN: 21016
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
7:30 pm |
Subject: Data Science (DASC)
CRN: 21017
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
3:25 pm |
Subject: Data Science (DASC)
CRN: 21018
In Person | Lab
St Paul: O'Shaughnessy Science Hall 431
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
3:25 pm |
Subject: Data Science (DASC)
CRN: 21019
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:30 pm |
Subject: Data Science (DASC)
CRN: 21020
In Person | Lab
St Paul: O'Shaughnessy Science Hall 431
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:30 pm |
Subject: Data Science (DASC)
CRN: 21021
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
8:00 am |
Subject: Data Science (DASC)
CRN: 21022
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:30 pm |
Subject: Data Science (DASC)
CRN: 21023
In Person | Lab
St Paul: O'Shaughnessy Science Hall 431
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
5:30 pm |
Subject: Data Science (DASC)
CRN: 21024
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
7:30 pm |
Subject: Data Science (DASC)
CRN: 21025
In Person | Lab
St Paul: O'Shaughnessy Science Hall 431
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
7:30 pm |
Subject: Data Science (DASC)
CRN: 21026
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, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
8:15 am |
8:15 am |
8:15 am |
Subject: Data Science (DASC)
CRN: 21027
In Person | Lecture
St Paul: John Roach Center 426
Instructor: TBD
This course provides students with an introduction to the field of data science. Students learn foundational skills, including basic data visualization, data wrangling, descriptive modeling techniques, and simulation-based inference. All material is grounded in contextual data examples, and consideration of data context and ethical issues is paramount. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 100, 101, 103, 104, 105, 108, 111, or 113.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
8:00 am |
8:00 am |
Subject: Data Science (DASC)
CRN: 21028
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 432
Instructor: TBD
In this course, students acquire the knowledge and skill required to effectively apply intermediate statistical methods in biology, medicine, public health, and other health-related fields. There is an emphasis on the following inferential statistical techniques: one-way and factorial ANOVA, interactions, repeated measures, and general linear models; logistic regression for cohort and case-control studies; nonparametric and distribution-free statistics; loglinear models and contingency table analyses; survival data, Kaplan-Meier methods, and proportional hazards models. Prerequisites: DASC 112, DASC 120, STAT 303, or STAT 313.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
9:55 am |
9:55 am |
Subject: Data Science (DASC)
CRN: 21029
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 434
Requirements Met:
Writing in the Discipline
This course provides students with the knowledge to effectively use various forms of regression models to address problems in a variety of fields. Students learn both simple and multiple forms of linear, ordinal, nominal, and beta regression models. There is an emphasis on simultaneous inference, model selection and validation, detecting collinearity and autocorrelation, and remedial measures for model violations. Students are also introduced to the use of time series and forecasting methods. Prerequisites: Grade of C- or higher in DASC 112 or DASC 120.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
3:25 pm |
3:25 pm |
Subject: Data Science (DASC)
CRN: 21030
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 434
Requirements Met:
Writing in the Discipline
This course provides students with the knowledge to effectively use various forms of regression models to address problems in a variety of fields. Students learn both simple and multiple forms of linear, ordinal, nominal, and beta regression models. There is an emphasis on simultaneous inference, model selection and validation, detecting collinearity and autocorrelation, and remedial measures for model violations. Students are also introduced to the use of time series and forecasting methods. Prerequisites: Grade of C- or higher in DASC 112 or DASC 120.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:30 pm |
1:30 pm |
Subject: Data Science (DASC)
CRN: 21031
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 434
Requirements Met:
Sustainability (SUST)
This course introduces students to advanced computational methods in statistics and data analysis that require a thorough knowledge of a programming language such as Python or R. There will be an intensive focus on investigating the correlation and covariance structure of data, including data extraction and modification, dimensionality reduction, and structural equation modeling. Prerequisites: Grades of C- or higher in CISC 130 or 131 and in MATH 109 or 112 or 113 and in DASC 240, STAT 303, STAT 314, or ECON 315.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
12:15 pm |
12:15 pm |
12:15 pm |
Subject: Data Science (DASC)
CRN: 21032
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 428
In this course students will learn methods for working with massive and complex data. They will explore these topics from both statistical and computational perspectives. Topics include data preparation, defining and exploring data sources, pattern discovery, cluster analysis, decision trees, regression, neural networks, memory-based reasoning, survival analysis, and genetic algorithms. Software used in the course includes, but is not limited to, JMP, Excel, Java, R, Python, and Minitab. Prerequisites: Grades of C- or higher in CISC 130 or 131 and in MATH 109 or 112 or 113 and in DASC 240, STAT 333, or ECON 315.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: ENSL Engl 2nd Lang (ACTC) (XX)
CRN: 20016
No Classroom Required
Other: No Room
Instructor: TBD
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
+ asynchronous coursework |
Subject: Family Studies (FAST)
CRN: 21146
Online: Asynchronous | Lecture
Online
Requirements Met:
FYE CommGood/Learning Comm
Family Studies Major Approved
Family Studies Minor Approved
Writing to learn
As a foundation of the Family Studies major and minor, this course provides an interdisciplinary exploration of the discipline and profession of Family Studies. Students will be introduced to primary family theories and the practical nature of theorizing for understanding, explaining and strengthening all families; read original and translated/applied research on family topics; explore substantive topics of the field; examine the current state of Family Studies and its multidisciplinary roots; become familiar with family studies’ occupations and professional organizations; review ethical principles of working with and studying families; and examine a range of contemporary issues for families in the 21st century.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
Subject: Family Studies (FAST)
CRN: 21147
In Person | Lecture
St Paul: In Person
Requirements Met:
Family Studies Major Approved
Family Studies Minor Approved
Writing in the Discipline
Instructor: TBD
This advanced capstone course for the Family Studies major is a multidisciplinary seminar taken after a student has completed at least four courses in the Family Studies major. The course incorporates a variety of methods, theories, and pedagogies drawn from the family studies paradigm. A substantial portion of the course will be devoted to student experience in the community and professions, including reflections and analyses that incorporate family studies scholarship. Prerequisite: FAST 200, plus two of COJO 374 (formerly COJO 472), PSYC 288, SOCI 321, plus six other courses from the list of approved courses for the Major.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:30 pm |
1:30 pm |
Subject: Irish Studies (IRST)
CRN: 21314
In Person | Lecture
St Paul: In Person
Core Requirements Met:
[Core] Global Perspective AND [Core] Integ/Humanities
Other Requirements Met:
IRST Minor Approved
Writing to learn
This interdisciplinary course offers a broad introduction to the study of Irish literature, history and culture. This course focuses on the history, society, politics, culture, and economics of Ireland and the Irish Diaspora, from the early Christian period to the present.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
Subject: Liberal Arts in Business (LABM)
CRN: 21339
No Classroom Required
Study Away: No Room
Instructor: TBD
Participants in the Renaissance Program complete one internship in a career-related field. Students are encouraged to be creative and to search for inventive ways of implementing a plan of practical work experience. A variety of options and opportunities is available through the Career Center.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
9:55 am |
9:55 am |
Subject: Lat America&Carib Studies (LACS)
CRN: 21340
In Person | Lecture
St Paul: In Person
Requirements Met:
Writing to learn
Introduces students to the interdisciplinary field of Latin American Studies as well as the individuals, cultures, histories, politics, economics, and geographies that distinguish the region and its nations. Students learn different disciplinary approaches to analyzing Latin America (e.g. art history, political science, literature, sociology, and history) through course content, readings, and instruction as the course is rotated among affiliated faculty each semester offered. The interdisciplinary framework provides a number of different ways to think about Latin American society and challenges us to recognize the linkages and tensions that define the region, explored through topics such as social and economic variations, democracy and dictatorship, slavery and race relations, urban and rural societies, (im)migrations, gender and sexuality, citizenship and resistance, popular culture, and the Church and social justice. Exploring the major themes and disciplinary studies of Latin America help us integrate ideas about the region and its communities.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20457
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course introduces students to person-centered clinical skills and health assessment techniques. Emphasis is on whole person wellness, understanding persons in the context of their environments, clinical judgement, and safety and quality. The course will include examining the influence of social determinants of health and health equity, healthcare advocacy and systems change, and interprofessional collaboration on the provision of clinical skills and health assessment. Prerequisites: C- or better in NRSG 240 and 210; Co-Requisites: EXSC 213: Human Anatomy and EXSC 214: Human Physiology and being a declared nursing major. Co-enrollment in NRSG 250 required.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20588
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course introduces students to person-centered clinical skills and health assessment techniques. Emphasis is on whole person wellness, understanding persons in the context of their environments, clinical judgement, and safety and quality. The course will include examining the influence of social determinants of health and health equity, healthcare advocacy and systems change, and interprofessional collaboration on the provision of clinical skills and health assessment. Prerequisites: C- or better in NRSG 240 and 210; Co-Requisites: EXSC 213: Human Anatomy and EXSC 214: Human Physiology and being a declared nursing major. Co-enrollment in NRSG 250 required.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20589
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course introduces students to person-centered clinical skills and health assessment techniques. Emphasis is on whole person wellness, understanding persons in the context of their environments, clinical judgement, and safety and quality. The course will include examining the influence of social determinants of health and health equity, healthcare advocacy and systems change, and interprofessional collaboration on the provision of clinical skills and health assessment. Prerequisites: C- or better in NRSG 240 and 210; Co-Requisites: EXSC 213: Human Anatomy and EXSC 214: Human Physiology and being a declared nursing major. Co-enrollment in NRSG 250 required.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20590
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course introduces students to person-centered clinical skills and health assessment techniques. Emphasis is on whole person wellness, understanding persons in the context of their environments, clinical judgement, and safety and quality. The course will include examining the influence of social determinants of health and health equity, healthcare advocacy and systems change, and interprofessional collaboration on the provision of clinical skills and health assessment. Prerequisites: C- or better in NRSG 240 and 210; Co-Requisites: EXSC 213: Human Anatomy and EXSC 214: Human Physiology and being a declared nursing major. Co-enrollment in NRSG 250 required.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20458
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course advances students’ knowledge about the integration of pathophysiology and pharmacology. Emphasis is on analyzing multifaceted disease processes and concomitant pharmacotherapies. The course will build on Pathophysiology and Pharmacology for Nursing Practice I and continue encompassing pathophysiology and pharmacology in the context of whole person wellness, social determinants of health and health equity, healthcare advocacy and systems change, and interprofessional collaboration. Prerequisite: C- or better in NRSG 210; EXSC 213 and 214; and restricted to declared nursing majors. Co-enrollment in NRSG 220 required.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20591
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course advances students’ knowledge about the integration of pathophysiology and pharmacology. Emphasis is on analyzing multifaceted disease processes and concomitant pharmacotherapies. The course will build on Pathophysiology and Pharmacology for Nursing Practice I and continue encompassing pathophysiology and pharmacology in the context of whole person wellness, social determinants of health and health equity, healthcare advocacy and systems change, and interprofessional collaboration. Prerequisite: C- or better in NRSG 210; EXSC 213 and 214; and restricted to declared nursing majors. Co-enrollment in NRSG 220 required.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20592
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course advances students’ knowledge of and skills in the spheres of care essential for entry level nursing practice. Emphasis will be on restorative care, including critical/trauma care, complex acute care, chronic disease care, and hospice/palliative care/supportive care. The study and application of the spheres of care are within the context of whole person wellness, social determinants of health and health equity, healthcare advocacy and systems change, and interprofessional collaboration. The course includes integration of didactic and clinical learning in a variety of settings across the lifespan within families and communities. Prerequisites: C- or better in NRSG 300; 305; and restricted to declared nursing majors. Co-enrollment in NRSG 360 and 370 required.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20593
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course advances students’ knowledge of and skills in the spheres of care essential for entry level nursing practice. Emphasis will be on restorative care, including critical/trauma care, complex acute care, chronic disease care, and hospice/palliative care/supportive care. The study and application of the spheres of care are within the context of whole person wellness, social determinants of health and health equity, healthcare advocacy and systems change, and interprofessional collaboration. The course includes integration of didactic and clinical learning in a variety of settings across the lifespan within families and communities. Prerequisites: C- or better in NRSG 300; 305; and restricted to declared nursing majors. Co-enrollment in NRSG 360 and 370 required.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20596
In Person | Lecture
St Paul: In Person
Instructor: TBD
Description: This course prepares students to apply research and evidence-based practice in providing nursing care. Emphasis will be on relationships between professional, scholarly nursing practice, health systems and the spheres of care (disease prevention/promotion of health and well-being, chronic disease care, restorative care, and hospice/palliative/ supportive care), whole-person wellness, social determinants of health and health equity, health care advocacy and systems change, and interprofessional collaboration. Prerequisites: C- of better in NRSG 300; 305; DASC 120; and being a declared nursing student. Co-enrollment in NRSG 350 and 370 required.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20594
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course prepares students to care for women, infants, and childbearing families across the spheres of care (disease prevention/promotion of health and well-being, chronic disease care, restorative care, and hospice/palliative/supportive care). The study and application of these spheres are within the context of maternal-newborn nursing, women’s health, care of families, whole person wellness, social determinants of health and health equity, healthcare advocacy and systems change, and. interprofessional collaboration. The course includes integration of didactic and clinical learning in a variety of settings. Prerequisite: C- or better in NRSG 350; 360; 430; and restricted to declared nursing majors. Co-enrollment in NRSG 410 and 420 required.
0 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20595
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course prepares students to care for women, infants, and childbearing families across the spheres of care (disease prevention/promotion of health and well-being, chronic disease care, restorative care, and hospice/palliative/supportive care). The study and application of these spheres are within the context of maternal-newborn nursing, women’s health, care of families, whole person wellness, social determinants of health and health equity, healthcare advocacy and systems change, and. interprofessional collaboration. The course includes integration of didactic and clinical learning in a variety of settings. Prerequisite: C- or better in NRSG 350; 360; 430; and restricted to declared nursing majors. Co-enrollment in NRSG 410 and 420 required.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20597
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course will offer health care students the opportunity to explore the role of care providers in promoting the health and well-being of the whole person, while considering values, health beliefs, and life experience. Students will learn and reflect upon the concepts, practices and perspectives that inform whole-person wellbeing to advance health equity and social justice. Students will explore the opportunities and challenges of interprofessional and integrated health care approaches that support whole person wellbeing. The aspects of whole-person health that will be explored include physical, mental, emotional, spiritual, and social health, as well as the integration of these dimensions within the context of families and communities. Prerequisites: Permission from instructor, department chair and/or nursing director. Co-requisites: NRSG 510, 520, and 540
1 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20364
In Person | Lecture
St Paul: In Person
Instructor: TBD
Students will ascertain the concepts and theories related to the provision of psychiatric/mental health nursing practice. Emphasis will be on nursing therapeutic interventions created for mental health and the care of persons with mental illnesses within the context of disease prevention/promotion of health and well-being, chronic disease care, and whole-person wellness, social determinants of health and health equity, health care advocacy and systems change, and interprofessional collaboration. The course includes integration of didactic and clinical learning in a variety of settings. Prerequisites: C- in NRSG 525. Co-requisites: NRSG 535 and 541.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20363
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course will offer health care students the opportunity to learn and reflect upon the risk factors in society that influence health equity, identify barriers, and find solutions that can improve overall health and well-being. Students will examine various conceptualizations of social determinants of health, including those explained and addressed within regional, state, national, and international organizations dedicated to addressing health equity. Special emphasis will be placed on initiatives aimed at mitigating factors impacting health equity, specifically for marginalized populations and the role of care providers in mitigation. Prerequisites: Permission from instructor, department chair and/or nursing director. Prerequisite: C- or better in NRSG 525. Co-requisites: NRSG 530, 541, and 550
1 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20362
In Person | Lecture
St Paul: In Person
Instructor: TBD
Students will expand their knowledge of the integration of pathophysiology and pharmacology in this course. Emphasis is on the examination of multifaceted disease processes and concomitant pharmacotherapies. This course is a continuation of Pathophysiology and Pharmacology for Nursing Practice I and will continue to illustrate pathophysiology and pharmacology within the context of whole-person wellness, social determinants of health and health equity, health care advocacy and systems change, and interprofessional collaboration. Prerequisite: C- or better in NRSG 525. Co-requisites: NRSG 530, 535 and 550.
3 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20365
In Person | Lecture
St Paul: In Person
Instructor: TBD
In this course, students will discover the spheres of care essential for entry-level nursing practice. The examination and application of the spheres of care are within the context of whole-person wellness, social determinants of health and health equity, health care advocacy and systems change and interprofessional collaboration. This course integrates didactic and clinical learning in a variety of settings across the lifespan within families and communities. Prerequisites: C- or better in NRSG 530. Co-requisites: NRSG 535 and 541.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20598
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course enhances students’ knowledge and skills of the spheres of care essential for entry-level nursing practice. Emphasis is on restorative care, including critical/trauma care, complex acute care, chronic disease care, and hospice/palliative/supportive care. The examination and application of the spheres of care are within the context of whole-person wellness, social determinants of health and health equity, health care advocacy and systems change, and interprofessional collaboration. An integration of didactic and clinical learning will occur in a variety of settings across the lifespan within families and communities. Prerequisite: C- or better in NRSG 605. Co-requisites: NRSG 560, 610 and 620.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20459
In Person | Lecture
St Paul: In Person
Instructor: TBD
This course will offer health care students the opportunity to learn and reflect upon the role of care providers in identifying important health policy issues as well as becoming agents of change, devising innovations to meet the health care needs of the persons/families/communities they serve, and using program evaluation, data analysis, and information to advance social justice. Special emphasis will be placed on students’ ability to position themselves to be effective in orchestrating innovative policy and regulatory changes at local, state, and national levels. Special emphasis will be placed on developing students’ understanding of themselves as leaders in policy formation, and how current policies affect the practice of care providers and the delivery of health care regionally, statewide, nationally, and internationally. Prerequisites: C- or better in NRSG 560, 570, 610, and 620. Co-requisites: NRSG 640, 650, and 670.
1 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20460
In Person | Lecture
St Paul: In Person
Instructor: TBD
In this course, students will transition to professional Registered Nurse practice through a synthesis and implementation of program outcomes. Consideration of the spheres of care, whole-person wellness, social determinants of health and health equity, health care advocacy and systems change, and interprofessional collaboration will be emphasized. This course includes a precepted practicum with final preparation for the NCLEX-RN examination. Prerequisites: C- or better in NRSG 560, 570, 610 and 620. Co-requisites: NRSG 590, 640, and 670
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nursing (NRSG)
CRN: 20461
In Person | Lecture
St Paul: In Person
Instructor: TBD
Students apply leadership concepts and theories to skillfully practice as a leader to achieve clinical excellence, improve nursing care and health outcomes through advocacy and policy change. Emphasis will be on ethical principles, organizational and systemic assessment, and applying evidence for innovative quality improvement. Students learn how to apply economic and business principles as well as ingenuity to improve the design and delivery of care. As part of system change, students develop the leadership skills to teach, coach and mentor others. Prerequisites: C- or better in NRSG 560, 570, 610, and 620. Co-requisites: NRSG 590, 640 and 650.
3 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
Subject: Neuroscience (NSCI)
CRN: 21609
Online: Asynchronous | Lecture
St Paul: In Person
This course emphasizes understanding the scientific method in the context of modern neuroscience research and covers research design and writing in neuroscience. Course content focuses on developing skills in reading primary neuroscience literature, designing neuroscience experiments, analyzing neuroscience data, and presenting neuroscience research. Three laboratory hours per week. Prerequisites: NSCI 202 AND DASC 120 or DASC 112 with a strong recommendation in taking the SPSS, R, or Excel sections. Note: Students cannot get credit for both NSCI 203 and PSYC 212. Note: Students cannot get credit for both NSCI 203 and PSYC 212.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:20 pm |
Subject: Neuroscience (NSCI)
CRN: 21610
Online: Sync Distributed | Lab
St Paul: In Person
This course emphasizes understanding the scientific method in the context of modern neuroscience research and covers research design and writing in neuroscience. Course content focuses on developing skills in reading primary neuroscience literature, designing neuroscience experiments, analyzing neuroscience data, and presenting neuroscience research. Three laboratory hours per week. Prerequisites: NSCI 202 AND DASC 120 or DASC 112 with a strong recommendation in taking the SPSS, R, or Excel sections. Note: Students cannot get credit for both NSCI 203 and PSYC 212. Note: Students cannot get credit for both NSCI 203 and PSYC 212.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
9:55 am |
9:55 am |
Subject: Neuroscience (NSCI)
CRN: 21611
In Person | Lecture
St Paul: In Person
This course is an in-depth study of the molecular, genetic, and cellular components of the vertebrate nervous system, and how these components interact to allow neurons to communicate. The course will build upon foundational neuroscience knowledge and will provide a detailed examination of the components of neuronal signaling, including the molecular structure of ion channels; proteins responsible for synaptic signaling; extracellular matrix structure and function; glial cell function; mRNA transfer between neurons. Laboratory topics will include training in the techniques and data analysis for modern neurophysiological techniques, including optogenetics, EEG, and multi-electrode neurophysiology. Four laboratory hours per week. Prerequisites: NSCI 202 and CHEM 112 OR CHEM 115.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:30 pm |
Subject: Neuroscience (NSCI)
CRN: 21612
In Person | Lab
St Paul: Owens Science Hall 381
This course is an in-depth study of the molecular, genetic, and cellular components of the vertebrate nervous system, and how these components interact to allow neurons to communicate. The course will build upon foundational neuroscience knowledge and will provide a detailed examination of the components of neuronal signaling, including the molecular structure of ion channels; proteins responsible for synaptic signaling; extracellular matrix structure and function; glial cell function; mRNA transfer between neurons. Laboratory topics will include training in the techniques and data analysis for modern neurophysiological techniques, including optogenetics, EEG, and multi-electrode neurophysiology. Four laboratory hours per week. Prerequisites: NSCI 202 and CHEM 112 OR CHEM 115.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:30 pm |
Subject: Neuroscience (NSCI)
CRN: 21613
In Person | Lab
St Paul: Owens Science Hall 381
This course is an in-depth study of the molecular, genetic, and cellular components of the vertebrate nervous system, and how these components interact to allow neurons to communicate. The course will build upon foundational neuroscience knowledge and will provide a detailed examination of the components of neuronal signaling, including the molecular structure of ion channels; proteins responsible for synaptic signaling; extracellular matrix structure and function; glial cell function; mRNA transfer between neurons. Laboratory topics will include training in the techniques and data analysis for modern neurophysiological techniques, including optogenetics, EEG, and multi-electrode neurophysiology. Four laboratory hours per week. Prerequisites: NSCI 202 and CHEM 112 OR CHEM 115.
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
3:30 pm |
3:30 pm |
Subject: Neuroscience (NSCI)
CRN: 21614
In Person | Lecture
St Paul: In Person
Cognitive neuroscience is the study of “how the brain enables the mind.” The purpose of this course is for you to develop an advanced understanding of the biological basis of mental activity. We will examine the biological roots of various mental phenomena including perception, attention, learning, memory, language, emotion and consciousness. In particular, we will focus on the roles of plasticity and evolutionary pressure in shaping the mind, and on the treatment of cognitive neuroscience in popular media.Prerequisites: a C- in NSCI 203
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:30 pm |
Subject: Neuroscience (NSCI)
CRN: 21615
In Person | Lab
St Paul: John Roach Center LL21
Cognitive neuroscience is the study of “how the brain enables the mind.” The purpose of this course is for you to develop an advanced understanding of the biological basis of mental activity. We will examine the biological roots of various mental phenomena including perception, attention, learning, memory, language, emotion and consciousness. In particular, we will focus on the roles of plasticity and evolutionary pressure in shaping the mind, and on the treatment of cognitive neuroscience in popular media.Prerequisites: a C- in NSCI 203
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
10:55 am |
10:55 am |
10:55 am |
Subject: Neuroscience (NSCI)
CRN: 22219
In Person | Lecture
St Paul: In Person
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy On-line, View Searchable Class Schedule
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:30 pm |
Subject: Neuroscience (NSCI)
CRN: 22220
In Person | Lab
St Paul: In Person
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy On-line, View Searchable Class Schedule
0 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
Subject: Nutrition (NUTR)
CRN: 20268
Online: Some Synchronous | Lecture
Online
Requirements Met:
FYE CommGood/Learning Comm
An overview of essential nutrients and metabolism, food sources, energy balancing, navigating nutrition information, and the impact of eating patterns on health and disease risk. Other topics include nutritional needs across the lifespan, nutritional status, food security and sustainability, food safety, disordered eating, and nutrition for sports and fitness. This course is open to all students from all fields of study.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
Subject: Nutrition (NUTR)
CRN: 20269
Online: Asynchronous | Lecture
Online
Requirements Met:
FYE CommGood/Learning Comm
An overview of essential nutrients and metabolism, food sources, energy balancing, navigating nutrition information, and the impact of eating patterns on health and disease risk. Other topics include nutritional needs across the lifespan, nutritional status, food security and sustainability, food safety, disordered eating, and nutrition for sports and fitness. This course is open to all students from all fields of study.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
Subject: Nutrition (NUTR)
CRN: 20325
Online: Asynchronous | Lecture
Online
Requirements Met:
FYE CommGood/Learning Comm
An overview of essential nutrients and metabolism, food sources, energy balancing, navigating nutrition information, and the impact of eating patterns on health and disease risk. Other topics include nutritional needs across the lifespan, nutritional status, food security and sustainability, food safety, disordered eating, and nutrition for sports and fitness. This course is open to all students from all fields of study.
4 Credits
M | T | W | Th | F | Sa | Su |
Subject: Nutrition (NUTR)
CRN: 20270
Online: Asynchronous | Lecture
Online
Instructor: TBD
The focus of this course is to develop a deeper understanding of how metabolism and nutritional requirements may be altered in physically active individuals (from general fitness enthusiasts to elite athletes). We will study how supplements and other ergogenic aids may or may not impact metabolism and performance. We will critically analyze common sports nutrition claims and discuss topics such as nutrient timing, fat adaptation, and the training effect. Pre-requisites: C- or above in HLTH 345 or NUTR 245 AND C- or above in either BIOL 100 or CHEM 100 or higher.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
1:30 pm |
Subject: Nutrition (NUTR)
CRN: 20330
Blended Online & In-Person | Lecture
St Paul: Anderson Ath and Rec Center 205
Students will develop skills needed to understand, interpret, and communicate various types of food and nutrition information. Students will develop and present audience-focused, evidence-based food and nutrition communication materials in class. Pre-requisites: C- or above in HLTH/NUTR 245 AND C- or above in either BIOL 100 or CHEM 100 or higher.
4 Credits
02/02 - 05/22 | ||||||
M | T | W | Th | F | Sa | Su |
3:25 pm |
3:25 pm |
Subject: Women/Gender/Sexuality (WGSS)
CRN: 22203
In Person | Topics Lecture 1
St Paul: In Person
Requirements Met:
Class, Civilization Major Appr
Class. Civilization Minor Appr
Writing to learn
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in Classfinder, View Searchable Class Schedule
4 Credits