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AERO: Aerospace

112-01
Heritage and Values II
 
M 3:25 pm - 4:30 pm
L. Meyer
 
02/02 - 05/22
45/0/0
Lecture
CRN 20733
1 Cr.
Size: 45
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

3:25 pm
4:30 pm
In Person

           

Subject: Aerospace (AERO)

CRN: 20733

In Person | Lecture

St Paul: In Person

  Leah Meyer

Continuation of AERO 111 Prerequisite: AERO 111 or permission of instructor

1 Credits

200-01
Leadership Lab
 
M 5:15 pm - 7:15 pm
L. Meyer
 
02/02 - 05/22
100/0/0
Lab
CRN 20734
0 Cr.
Size: 100
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

5:15 pm
7:15 pm
In Person

           

Subject: Aerospace (AERO)

CRN: 20734

In Person | Lab

St Paul: In Person

  Leah Meyer

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

200-02
Leadership Lab
 
M 5:15 pm - 7:00 pm
L. Meyer
 
02/02 - 05/22
100/0/0
Lab
CRN 20735
0 Cr.
Size: 100
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

5:15 pm
7:00 pm
In Person

           

Subject: Aerospace (AERO)

CRN: 20735

In Person | Lab

St Paul: In Person

  Leah Meyer

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

201-01
AFROTC Phys Fitness Lab
 
WF 6:30 am - 7:30 am
L. Meyer
 
02/02 - 05/22
100/0/0
Lab
CRN 20736
0 Cr.
Size: 100
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
   

6:30 am
7:30 am
In Person

 

6:30 am
7:30 am
In Person

   

Subject: Aerospace (AERO)

CRN: 20736

In Person | Lab

St Paul: In Person

  Leah Meyer

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

201-02
AFROTC Phys Fitness Lab
 
WF 6:30 am - 7:30 am
L. Meyer
 
02/02 - 05/22
100/0/0
Lab
CRN 20737
0 Cr.
Size: 100
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
   

6:30 am
7:30 am
In Person

 

6:30 am
7:30 am
In Person

   

Subject: Aerospace (AERO)

CRN: 20737

In Person | Lab

St Paul: In Person

  Leah Meyer

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

212-01
Team & Lead Fundamentals II
 
R 3:25 pm - 4:30 pm
L. Meyer
 
02/02 - 05/22
45/0/0
Lecture
CRN 20738
1 Cr.
Size: 45
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
     

3:25 pm
4:30 pm
MHC LL04A

     

Subject: Aerospace (AERO)

CRN: 20738

In Person | Lecture

St Paul: Murray-Herrick Campus Center LL04A

  Leah Meyer

Continuation of AERO 211 Prerequisite: AERO 211 or permission of instructor

1 Credits

322-01
Lead People & Effective Com II
 
R 10:00 am - 1:30 pm
L. Meyer
 
02/02 - 05/22
30/0/0
Lecture
CRN 20739
4 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
     

10:00 am
1:30 pm
MHC LL04A

     

Subject: Aerospace (AERO)

CRN: 20739

In Person | Lecture

St Paul: Murray-Herrick Campus Center LL04A

  Leah Meyer

Continuation of AERO 321. Prerequisite: AERO 321 or permission of instructor

4 Credits

422-01
Nat Security & Lead Resp II
 
TR 8:00 am - 9:40 am
L. Meyer
 
02/02 - 05/22
30/0/0
Lecture
CRN 20740
4 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

8:00 am
9:40 am
MHC LL04A

 

8:00 am
9:40 am
MHC LL04A

     

Subject: Aerospace (AERO)

CRN: 20740

In Person | Lecture

St Paul: Murray-Herrick Campus Center LL04A

  Leah Meyer

Continuation of AERO 421. Prerequisite: AERO 421

4 Credits

AMCD: Amer Culture & Difference

200-L01
American Culture: Power/Identi
 
MW 1:35 pm - 3:10 pm
D. Lawrence
AMCDCore 
02/02 - 05/22
20/0/0
Lecture
CRN 20741
4 Cr.
Size: 20
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

1:35 pm
3:10 pm
JRC 227

 

1:35 pm
3:10 pm
JRC 227

       

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

  David Lawrence

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

AMSL: American Sign Language

111-01
Elementary American Sign Language I
 
MW 5:30 pm - 7:15 pm
V. Huls
Core 
02/02 - 05/22
25/0/0
Lecture
CRN 20742
4 Cr.
Size: 25
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

5:30 pm
7:15 pm
In Person

 

5:30 pm
7:15 pm
In Person

       

Subject: American Sign Language (AMSL)

CRN: 20742

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Language/Culture

  Valerie Huls

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

112-01
Elem American Sign Language II
 
MW 3:25 pm - 5:00 pm
T. Moore
Core 
02/02 - 05/22
25/0/0
Lecture
CRN 20743
4 Cr.
Size: 25
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

3:25 pm
5:00 pm
In Person

 

3:25 pm
5:00 pm
In Person

       

Subject: American Sign Language (AMSL)

CRN: 20743

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Language/Culture

  Tiffany Moore

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

112-02
Elem American Sign Language II
 
MW 5:30 pm - 7:15 pm
T. Moore
Core 
02/02 - 05/22
25/0/0
Lecture
CRN 20744
4 Cr.
Size: 25
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

5:30 pm
7:15 pm
In Person

 

5:30 pm
7:15 pm
In Person

       

Subject: American Sign Language (AMSL)

CRN: 20744

In Person | Lecture

St Paul: In Person

Core Requirements Met:
     [Core] Language/Culture

  Tiffany Moore

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

211-01
Interm American Sign Lang I
 
TR 5:30 pm - 7:15 pm
V. Huls
Core 
02/02 - 05/22
25/0/0
Online: Synchronous
CRN 20745
4 Cr.
Size: 25
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

5:30 pm
7:15 pm
Online

 

5:30 pm
7:15 pm
Online

     

Subject: American Sign Language (AMSL)

CRN: 20745

Online: Some Synchronous | Online: Synchronous

Online

Core Requirements Met:
     [Core] Language/Culture

  Valerie Huls

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

CLAS: Classical Civilization

225-L01
Classical Hero & Film
 
MW 1:35 pm - 3:10 pm
J. Mitchell
ClassicsCore 
02/02 - 05/22
24/0/0
Lecture
CRN 20976
4 Cr.
Size: 24
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

1:35 pm
3:10 pm
In Person

 

1:35 pm
3:10 pm
In Person

       

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

  Jordan Mitchell

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

245-L01
Classical Mythology
 
MWF 1:35 pm - 2:40 pm
L. Hepner
ClassicsCoreWomen 
02/02 - 05/22
24/0/0
Lecture
CRN 20977
4 Cr.
Size: 24
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

1:35 pm
2:40 pm
In Person

 

1:35 pm
2:40 pm
In Person

 

1:35 pm
2:40 pm
In Person

   

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

  Liz Hepner

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

397-L01
Topics: Women in Antiquity
 
MW 3:25 pm - 5:00 pm
J. Mitchell
ClassicsCore 
02/02 - 05/22
10/0/0
Topics Lecture 1
CRN 20978
4 Cr.
Size: 10
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

3:25 pm
5:00 pm
In Person

 

3:25 pm
5:00 pm
In Person

       

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

  Jordan Mitchell

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

DASC: Data Science

112-01
Intro to Computational Stat II
 
Online
TBD
LAIBSUSTCore 
02/02 - 05/22
30/0/0
Online: Asynchronous
CRN 21005
2 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
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

120-01
Introduction to Computational Statistics
 
MWF 10:55 am - 12:00 pm
TBD
LAIBEdTrnSUSTCore 
02/02 - 05/22
96/0/0
Lecture
CRN 21006
4 Cr.
Size: 96
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

10:55 am
12:00 pm
In Person

 

10:55 am
12:00 pm
In Person

 

10:55 am
12:00 pm
In Person

   

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

120-02
Introduction to Computational Statistics
 
MWF 12:15 pm - 1:20 pm
TBD
LAIBEdTrnSUSTCore 
02/02 - 05/22
96/0/0
Lecture
CRN 21007
4 Cr.
Size: 96
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

12:15 pm
1:20 pm
In Person

 

12:15 pm
1:20 pm
In Person

 

12:15 pm
1:20 pm
In Person

   

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

120-03
Introduction to Computational Statistics
 
TR 8:00 am - 9:40 am
J. Weinburd
LAIBEdTrnSUSTCore 
02/02 - 05/22
96/0/0
Lecture
CRN 21008
4 Cr.
Size: 96
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

8:00 am
9:40 am
In Person

 

8:00 am
9:40 am
In Person

     

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)

  Jasper Weinburd

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

120-04
Introduction to Computational Statistics
 
TR 9:55 am - 11:35 am
J. Weinburd
LAIBEdTrnSUSTCore 
02/02 - 05/22
96/0/0
Lecture
CRN 21009
4 Cr.
Size: 96
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

9:55 am
11:35 am
In Person

 

9:55 am
11:35 am
In Person

     

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)

  Jasper Weinburd

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

120-05
Introduction to Computational Statistics
 
TR 1:30 pm - 3:10 pm
A. Dwyer
LAIBEdTrnSUSTCore 
02/02 - 05/22
96/0/0
Lecture
CRN 21010
4 Cr.
Size: 96
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

1:30 pm
3:10 pm
In Person

 

1:30 pm
3:10 pm
In Person

     

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)

  Anna Dwyer

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

120-51
Introduction to Computational Statistics
 
T 8:00 am - 9:40 am
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21011
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

8:00 am
9:40 am
OSS 434

         

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

120-52
Introduction to Computational Statistics
 
T 5:30 pm - 7:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21012
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

5:30 pm
7:15 pm
OSS 431

         

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

120-53
Introduction to Computational Statistics
 
T 5:30 pm - 7:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21013
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

5:30 pm
7:15 pm
OSS 432

         

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

120-54
Introduction to Computational Statistics
 
T 5:30 pm - 7:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21014
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

5:30 pm
7:15 pm
OSS 434

         

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

120-55
Introduction to Computational Statistics
 
T 7:30 pm - 9:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21015
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

7:30 pm
9:15 pm
OSS 431

         

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

120-56
Introduction to Computational Statistics
 
T 7:30 pm - 9:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21016
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

7:30 pm
9:15 pm
OSS 432

         

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

120-57
Introduction to Computational Statistics
 
T 7:30 pm - 9:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21017
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

7:30 pm
9:15 pm
OSS 434

         

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

120-58
Introduction to Computational Statistics
 
W 3:25 pm - 5:00 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21018
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
   

3:25 pm
5:00 pm
OSS 431

       

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

120-59
Introduction to Computational Statistics
 
W 3:25 pm - 5:00 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21019
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
   

3:25 pm
5:00 pm
OSS 434

       

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

120-60
Introduction to Computational Statistics
 
W 5:30 pm - 7:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21020
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
   

5:30 pm
7:15 pm
OSS 431

       

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

120-61
Introduction to Computational Statistics
 
W 5:30 pm - 7:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21021
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
   

5:30 pm
7:15 pm
OSS 434

       

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

120-62
Introduction to Computational Statistics
 
R 8:00 am - 9:40 am
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21022
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
     

8:00 am
9:40 am
OSS 434

     

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

120-63
Introduction to Computational Statistics
 
R 5:30 pm - 7:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21023
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
     

5:30 pm
7:15 pm
OSS 431

     

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

120-64
Introduction to Computational Statistics
 
R 5:30 pm - 7:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21024
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
     

5:30 pm
7:15 pm
OSS 432

     

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

120-65
Introduction to Computational Statistics
 
R 7:30 pm - 9:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21025
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
     

7:30 pm
9:15 pm
OSS 431

     

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

120-66
Introduction to Computational Statistics
 
R 7:30 pm - 9:15 pm
TBD
LAIBEdTrnCore 
02/02 - 05/22
30/0/0
Lab
CRN 21026
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
     

7:30 pm
9:15 pm
OSS 432

     

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

130-01
Introduction to Data Science
 
MWF 8:15 am - 9:20 am
TBD
 
02/02 - 05/22
26/0/0
Lecture
CRN 21027
4 Cr.
Size: 26
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

8:15 am
9:20 am
JRC 426

 

8:15 am
9:20 am
JRC 426

 

8:15 am
9:20 am
JRC 426

   

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

210-01
Biostatistics
 
TR 8:00 am - 9:40 am
TBD
 
02/02 - 05/22
26/0/0
Lecture
CRN 21028
4 Cr.
Size: 26
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

8:00 am
9:40 am
OSS 432

 

8:00 am
9:40 am
OSS 432

     

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

240-D01
Applied Regression Analysis
 
TR 9:55 am - 11:35 am
A. Dwyer
Core 
02/02 - 05/22
26/0/0
Lecture
CRN 21029
4 Cr.
Size: 26
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

9:55 am
11:35 am
OSS 434

 

9:55 am
11:35 am
OSS 434

     

Subject: Data Science (DASC)

CRN: 21029

In Person | Lecture

St Paul: O'Shaughnessy Science Hall 434

Requirements Met:
     Writing in the Discipline

  Anna Dwyer

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

240-D02
Applied Regression Analysis
 
TR 3:25 pm - 5:00 pm
A. Dwyer
Core 
02/02 - 05/22
26/0/0
Lecture
CRN 21030
4 Cr.
Size: 26
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

3:25 pm
5:00 pm
OSS 434

 

3:25 pm
5:00 pm
OSS 434

     

Subject: Data Science (DASC)

CRN: 21030

In Person | Lecture

St Paul: O'Shaughnessy Science Hall 434

Requirements Met:
     Writing in the Discipline

  Anna Dwyer

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

360-01
Multivariate Data Analysis
 
TR 1:30 pm - 3:10 pm
J. Weinburd
SUST 
02/02 - 05/22
26/0/0
Lecture
CRN 21031
4 Cr.
Size: 26
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

1:30 pm
3:10 pm
OSS 434

 

1:30 pm
3:10 pm
OSS 434

     

Subject: Data Science (DASC)

CRN: 21031

In Person | Lecture

St Paul: O'Shaughnessy Science Hall 434

Requirements Met:
     Sustainability (SUST)

  Jasper Weinburd

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

400-01
Data Mining & Machine Learning
 
MWF 12:15 pm - 1:20 pm
M. Werness
 
02/02 - 05/22
26/0/0
Lecture
CRN 21032
4 Cr.
Size: 26
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

12:15 pm
1:20 pm
OSS 428

 

12:15 pm
1:20 pm
OSS 428

 

12:15 pm
1:20 pm
OSS 428

   

Subject: Data Science (DASC)

CRN: 21032

In Person | Lecture

St Paul: O'Shaughnessy Science Hall 428

  Mark Werness

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

XX: ENSL Engl 2nd Lang (ACTC)

001-01
Els Language Centers
 
See Instructor
TBD
 
TBD
999/0/0
No Classroom Required
CRN 20016
0 Cr.
Size: 999
Enrolled: 0
Waitlisted: 0
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

FAST: Family Studies

200-L01
Foundations of Family Studies
 
Online
A. Nuru
CGLCFASTCore 
02/02 - 05/22
24/0/0
Lecture
CRN 21146
4 Cr.
Size: 24
Enrolled: 0
Waitlisted: 0
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

  Audra Nuru

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

400-D01
Family Studies Capstone Sem.
 
TBD
TBD
FASTCore 
02/02 - 05/22
20/0/0
Lecture
CRN 21147
4 Cr.
Size: 20
Enrolled: 0
Waitlisted: 0
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

IRST: Irish Studies

200-L01
Introduction to Irish Studies
 
TR 1:30 pm - 3:10 pm
D. Gardiner
IRMNCore 
02/02 - 05/22
15/0/0
Lecture
CRN 21314
4 Cr.
Size: 15
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

1:30 pm
3:10 pm
In Person

 

1:30 pm
3:10 pm
In Person

     

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

  David Gardiner

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

LABM: Liberal Arts in Business

330-01
Liberal Arts Business Intern
 
See Instructor
TBD
 
02/02 - 05/22
20/0/0
No Classroom Required
CRN 21339
0 Cr.
Size: 20
Enrolled: 0
Waitlisted: 0
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

LACS: Lat America&Carib Studies

200-L02
Intro Latin American Studies
 
TR 9:55 am - 11:35 am
K. Zimmerman
Core 
02/02 - 05/22
5/0/0
Lecture
CRN 21340
4 Cr.
Size: 5
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

9:55 am
11:35 am
In Person

 

9:55 am
11:35 am
In Person

     

Subject: Lat America&Carib Studies (LACS)

CRN: 21340

In Person | Lecture

St Paul: In Person

Requirements Met:
     Writing to learn

  Kari Zimmerman

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

NRSG: Nursing

220-01
Nursing Skills and Assessment
 
TBD
TBD
 
TBD
16/0/0
Lecture
CRN 20457
4 Cr.
Size: 16
Enrolled: 0
Waitlisted: 0
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

220-02
Nursing Skills and Assessment
 
TBD
TBD
 
TBD
16/0/0
Lecture
CRN 20588
4 Cr.
Size: 16
Enrolled: 0
Waitlisted: 0
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

220-03
Nursing Skills and Assessment
 
TBD
TBD
 
TBD
16/0/0
Lecture
CRN 20589
4 Cr.
Size: 16
Enrolled: 0
Waitlisted: 0
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

220-04
Nursing Skills and Assessment
 
TBD
TBD
 
TBD
16/0/0
Lecture
CRN 20590
4 Cr.
Size: 16
Enrolled: 0
Waitlisted: 0
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

250-01
Patho/Pharm for Nursing II
 
TBD
TBD
 
TBD
33/0/0
Lecture
CRN 20458
4 Cr.
Size: 33
Enrolled: 0
Waitlisted: 0
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

250-02
Patho/Pharm for Nursing II
 
TBD
TBD
 
TBD
33/0/0
Lecture
CRN 20591
4 Cr.
Size: 33
Enrolled: 0
Waitlisted: 0
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

350-01
Complex Nursing Care II
 
TBD
TBD
 
TBD
30/0/0
Lecture
CRN 20592
4 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
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

350-02
Complex Nursing Care II
 
TBD
TBD
 
TBD
30/0/0
Lecture
CRN 20593
4 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
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

360-W01
Applied Research & EBP
 
TBD
TBD
 
TBD
52/0/0
Lecture
CRN 20596
4 Cr.
Size: 52
Enrolled: 0
Waitlisted: 0
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

370-01
Perinatal and Childbearing
 
TBD
TBD
 
TBD
30/0/0
Lecture
CRN 20594
0 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
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

370-02
Perinatal and Childbearing
 
TBD
TBD
 
TBD
30/0/0
Lecture
CRN 20595
4 Cr.
Size: 30
Enrolled: 0
Waitlisted: 0
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

515-01
Whole Person Wellbeing
 
TBD
TBD
 
TBD
45/0/0
Lecture
CRN 20597
1 Cr.
Size: 45
Enrolled: 0
Waitlisted: 0
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

530-01
Psychiatric/Mental Health Nurs
 
TBD
TBD
 
TBD
47/0/0
Lecture
CRN 20364
4 Cr.
Size: 47
Enrolled: 0
Waitlisted: 0
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

535-01
Health Equity and SDOH
 
TBD
TBD
 
TBD
47/0/0
Lecture
CRN 20363
1 Cr.
Size: 47
Enrolled: 0
Waitlisted: 0
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

541-01
Patho/Pharm for Nursing II
 
TBD
TBD
 
TBD
47/0/0
Lecture
CRN 20362
3 Cr.
Size: 47
Enrolled: 0
Waitlisted: 0
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

550-01
Complex Nursing Care I
 
TBD
TBD
 
TBD
47/0/0
Lecture
CRN 20365
4 Cr.
Size: 47
Enrolled: 0
Waitlisted: 0
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

570-01
Complex Nursing Care II
 
TBD
TBD
 
TBD
50/0/0
Lecture
CRN 20598
4 Cr.
Size: 50
Enrolled: 0
Waitlisted: 0
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

590-01
Innovation:Advocacy Systm Chng
 
TBD
TBD
 
TBD
47/0/0
Lecture
CRN 20459
1 Cr.
Size: 47
Enrolled: 0
Waitlisted: 0
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

650-01
Complex Nursing Care III
 
TBD
TBD
 
TBD
47/0/0
Lecture
CRN 20460
4 Cr.
Size: 47
Enrolled: 0
Waitlisted: 0
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

670-01
Nus Lead Complex Sys
 
TBD
TBD
 
TBD
47/0/0
Lecture
CRN 20461
3 Cr.
Size: 47
Enrolled: 0
Waitlisted: 0
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

NSCI: Neuroscience

203-D01
Neuroscience Literacy
 
TBD
U. Wolfe
 
02/02 - 05/22
20/0/0
Lecture
CRN 21609
4 Cr.
Size: 20
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
             

Subject: Neuroscience (NSCI)

CRN: 21609

Online: Asynchronous | Lecture

St Paul: In Person

  Uta Wolfe

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

203-D51
Neuroscience Literacy
 
R 1:20 pm - 3:20 pm
U. Wolfe
 
02/02 - 05/22
20/0/0
Lab
CRN 21610
0 Cr.
Size: 20
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
     

1:20 pm
3:20 pm
In Person

     

Subject: Neuroscience (NSCI)

CRN: 21610

Online: Sync Distributed | Lab

St Paul: In Person

  Uta Wolfe

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

303-01
Neurophysiology
 
TR 9:55 am - 11:35 am
K. Illig
 
02/02 - 05/22
24/0/0
Lecture
CRN 21611
4 Cr.
Size: 24
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

9:55 am
11:35 am
In Person

 

9:55 am
11:35 am
In Person

     

Subject: Neuroscience (NSCI)

CRN: 21611

In Person | Lecture

St Paul: In Person

  Kurt Illig

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

303-51
Neurophysiology
 
W 1:30 pm - 5:30 pm
K. Illig
 
02/02 - 05/22
12/0/0
Lab
CRN 21612
0 Cr.
Size: 12
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
   

1:30 pm
5:30 pm
OWS 381

       

Subject: Neuroscience (NSCI)

CRN: 21612

In Person | Lab

St Paul: Owens Science Hall 381

  Kurt Illig

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

303-52
Neurophysiology
 
R 1:30 pm - 5:30 pm
K. Illig
 
02/02 - 05/22
12/0/0
Lab
CRN 21613
0 Cr.
Size: 12
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
     

1:30 pm
5:30 pm
OWS 381

     

Subject: Neuroscience (NSCI)

CRN: 21613

In Person | Lab

St Paul: Owens Science Hall 381

  Kurt Illig

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

310-01
Cognitive Neuroscience
 
MW 3:30 pm - 5:00 pm
R. Cole
 
02/02 - 05/22
18/0/0
Lecture
CRN 21614
4 Cr.
Size: 18
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

3:30 pm
5:00 pm
In Person

 

3:30 pm
5:00 pm
In Person

       

Subject: Neuroscience (NSCI)

CRN: 21614

In Person | Lecture

St Paul: In Person

  Rachel Cole

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

310-51
Cognitive Neuroscience
 
T 1:30 pm - 3:10 pm
R. Cole
 
02/02 - 05/22
18/0/0
Lab
CRN 21615
0 Cr.
Size: 18
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
 

1:30 pm
3:10 pm
JRC LL21

         

Subject: Neuroscience (NSCI)

CRN: 21615

In Person | Lab

St Paul: John Roach Center LL21

  Rachel Cole

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

490-01
Neuroscience of Aggression
 
MWF 10:55 am - 12:00 pm
S. Heimovics
 
02/02 - 05/22
18/0/0
Lecture
CRN 22219
0 Cr.
Size: 18
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

10:55 am
12:00 pm
In Person

 

10:55 am
12:00 pm
In Person

 

10:55 am
12:00 pm
In Person

   

Subject: Neuroscience (NSCI)

CRN: 22219

In Person | Lecture

St Paul: In Person

  Sarah Heimovics

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

490-51
Neuroscience of Aggression/LAB
 
M 1:30 pm - 5:30 pm
S. Heimovics
 
02/02 - 05/22
9/0/0
Lab
CRN 22220
0 Cr.
Size: 9
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

1:30 pm
5:30 pm
In Person

           

Subject: Neuroscience (NSCI)

CRN: 22220

In Person | Lab

St Paul: In Person

  Sarah Heimovics

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

NUTR: Nutrition

245-01
Introduction to Nutrition
 
Online
A. Roy
CGLC 
02/02 - 05/22
24/0/0
Lecture
CRN 20268
4 Cr.
Size: 24
Enrolled: 0
Waitlisted: 0
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

  Amber Roy

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

245-02
Introduction to Nutrition
 
Online
A. Roy
CGLC 
02/02 - 05/22
24/0/0
Lecture
CRN 20269
4 Cr.
Size: 24
Enrolled: 0
Waitlisted: 0
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

  Amber Roy

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

245-03
Introduction to Nutrition
 
Online
A. Roy
CGLC 
02/02 - 05/22
24/0/0
Lecture
CRN 20325
4 Cr.
Size: 24
Enrolled: 0
Waitlisted: 0
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

  Amber Roy

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

360-01
Nutrition for Sports & Fitness
 
Online
TBD
 
TBD
24/0/0
Lecture
CRN 20270
4 Cr.
Size: 24
Enrolled: 0
Waitlisted: 0
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

460-01
Food and Nutrition Communicati
 
Blended
A. Roy
 
02/02 - 05/22
20/0/0
Lecture
CRN 20330
4 Cr.
Size: 20
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su
   

1:30 pm
3:10 pm
ARC 205

       

Subject: Nutrition (NUTR)

CRN: 20330

Blended Online & In-Person | Lecture

St Paul: Anderson Ath and Rec Center 205

  Amber Roy

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

WGSS: Women/Gender/Sexuality

297-L01
Topics: Women in Antiquity
 
MW 3:25 pm - 5:00 pm
J. Mitchell
ClassicsCore 
02/02 - 05/22
10/0/0
Topics Lecture 1
CRN 22203
4 Cr.
Size: 10
Enrolled: 0
Waitlisted: 0
02/02 - 05/22
M T W Th F Sa Su

3:25 pm
5:00 pm
In Person

 

3:25 pm
5:00 pm
In Person

       

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

  Jordan Mitchell

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


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