18 classes matched your search criteria.
STAT 5401 is also offered in Spring 2025
STAT 5401 is also offered in Spring 2024
STAT 5401 is also offered in Spring 2023
STAT 5401 is also offered in Spring 2022
Spring 2025 | STAT 5401 Section 001: Applied Multivariate Methods (52297)
- Instructor(s)
- No instructor assigned
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Class Attributes:
- Online Course
- Enrollment Requirements:
- Stat 3032 or 3301 or 3022 or 4102 or 5021 or 5102
- Times and Locations:
- Regular Academic Session01/21/2025 - 05/05/2025Mon, Wed, Fri 09:05AM - 09:55AMUMTC, East Bank
- Enrollment Status:
- Open (0 of 60 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/52297/1253
Spring 2024 | STAT 5401 Section 001: Applied Multivariate Methods (52622)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Class Attributes:
- Online Course
- Enrollment Requirements:
- Stat 3032 or 3301 or 3022 or 4102 or 5021 or 5102
- Times and Locations:
- Regular Academic Session01/16/2024 - 04/29/2024Mon, Wed, Fri 09:05AM - 09:55AMUMTC, East BankBurton Hall 120
- Enrollment Status:
- Open (61 of 62 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/52622/1243
Spring 2023 | STAT 5401 Section 001: Applied Multivariate Methods (52994)
- Instructor(s)
- Tuan Pham (TA)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Enrollment Requirements:
- STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102
- Times and Locations:
- Regular Academic Session01/17/2023 - 05/01/2023Mon, Wed, Fri 11:15AM - 12:05PMUMTC, East BankMechanical Engineering 108
- Enrollment Status:
- Open (55 of 56 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/52994/1233
Spring 2023 | STAT 5401 Section 883: Applied Multivariate Methods (54775)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- UNITE Distributed Learning
- Enrollment Requirements:
- STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102
- Times and Locations:
- Regular Academic Session01/17/2023 - 05/01/2023Mon, Wed, Fri 11:15AM - 12:05PMOff CampusUMN REMOTE
- Enrollment Status:
- Closed (1 of 0 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.
- Class Notes:
- REGISTRATION FOR THIS SECTION IS PROCESSED THROUGH UNITE DISTRIBUTED LEARNING, NOT ONESTOP. See UNITE schedules at www.unite.umn.edu to view all courses offered through UNITE this semester and enroll for UNITE sections using the Registration Forms on that web site. UNITE is an educational office within the College of Science and Engineering. Students may enroll in UNITE sections of courses, with an additional UNITE fee of $100 per credit. All exams must be proctored by UNITE-approved proctor if taken off-campus. Course lectures are streamed live and available with same-day access to downloadable video and audio and streaming video archives. Questions - call 612-624-2332 or send a note to unite@umn.edu
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/54775/1233
Spring 2022 | STAT 5401 Section 001: Applied Multivariate Methods (53919)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Enrollment Requirements:
- STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102
- Times and Locations:
- Regular Academic Session01/18/2022 - 05/02/2022Mon, Wed, Fri 11:15AM - 12:05PMUMTC, East BankAkerman Hall 319
- Enrollment Status:
- Open (54 of 60 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/53919/1223
Spring 2021 | STAT 5401 Section 001: Applied Multivariate Methods (49888)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- Online Course
- Enrollment Requirements:
- STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102
- Times and Locations:
- Regular Academic Session01/19/2021 - 05/03/2021Mon, Wed, Fri 11:15AM - 12:05PMOff CampusUMN REMOTE
- Enrollment Status:
- Open (49 of 50 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/49888/1213
Spring 2021 | STAT 5401 Section 881: Applied Multivariate Methods (66711)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- UNITE Distributed Learning
- Enrollment Requirements:
- STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102
- Times and Locations:
- Regular Academic Session01/19/2021 - 05/03/2021Mon, Wed, Fri 11:15AM - 12:05PMOff CampusUMN REMOTE
- Enrollment Status:
- Closed (2 of 0 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.
- Class Notes:
- UNITE
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/66711/1213
Summer 2020 | STAT 5401 Section 001: Applied Multivariate Methods (83067)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- Online Course
- Times and Locations:
- Regular Academic Session06/08/2020 - 07/31/2020Mon, Tue, Wed, Thu, Fri 11:15AM - 12:05PMOff CampusVirtual Rooms ONLINEONLY
- Enrollment Status:
- Open (15 of 25 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/83067/1205
Spring 2020 | STAT 5401 Section 001: Applied Multivariate Methods (53420)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session01/21/2020 - 05/04/2020Mon, Wed, Fri 11:15AM - 12:05PMUMTC, East BankMechanical Engineering 108
- Enrollment Status:
- Open (56 of 60 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/53420/1203
Spring 2020 | STAT 5401 Section 883: Applied Multivariate Methods (66696)
- Instructor(s)
- Xiaoou Li (Proxy)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- UNITE Distributed Learning
- Times and Locations:
- Regular Academic Session01/21/2020 - 05/04/2020Mon, Wed, Fri 11:15AM - 12:05PMOff CampusVirtual Rooms ONLINEONLY
- Enrollment Status:
- Closed (5 of 0 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering.
- Class Notes:
- REGISTRATION FOR THIS SECTION IS PROCESSED THROUGH UNITE DISTRIBUTED LEARNING, NOT ONESTOP. See UNITE schedules at www.unite.umn.edu to view all courses offered through UNITE this semester and enroll for UNITE sections using the Registration Forms on that web site. UNITE is an educational office within the College of Science and Engineering. Students may enroll in UNITE sections of courses, with an additional UNITE fee of $100 per credit. All exams must be proctored by UNITE-approved proctor if taken off-campus. Course lectures are streamed live and available with same-day access to downloadable video and audio and streaming video archives. Questions - call 612-624-2332 or send a note to unite@umn.edu
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/66696/1203
Summer 2019 | STAT 5401 Section 001: Applied Multivariate Methods (87492)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session06/10/2019 - 08/02/2019Mon, Tue, Wed, Thu, Fri 11:15AM - 12:05PMUMTC, East BankAmundson Hall 158
- Enrollment Status:
- Open (11 of 25 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/87492/1195
Spring 2019 | STAT 5401 Section 001: Applied Multivariate Methods (53624)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session01/22/2019 - 05/06/2019Mon, Wed, Fri 11:15AM - 12:05PMUMTC, East BankRapson Hall 45
- Enrollment Status:
- Open (74 of 75 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/53624/1193
Spring 2018 | STAT 5401 Section 001: Applied Multivariate Methods (50401)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session01/16/2018 - 05/04/2018Mon, Wed, Fri 11:15AM - 12:05PMUMTC, East BankRapson Hall 43
- Enrollment Status:
- Closed (67 of 60 seats filled)
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/50401/1183
Spring 2017 | STAT 5401 Section 001: Applied Multivariate Methods (50986)
- Instructor(s)
- Daniel Eck (TA)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session01/17/2017 - 05/05/2017Mon, Wed, Fri 11:15AM - 12:05PMUMTC, East BankRapson Hall 31
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/50986/1173
Spring 2016 | STAT 5401 Section 001: Applied Multivariate Methods (53480)
- Instructor(s)
- Boxiang Wang (TA)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Times and Locations:
- Regular Academic Session01/19/2016 - 05/06/2016Mon, Wed, Fri 11:15AM - 12:05PMUMTC, East BankRapson Hall 54
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve and profile analysis. Canonical correlation analysis. Principle components and factor analysis. Discrimination, classification, and clustering. prereq: 5302 or 8102 or instr consent
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/53480/1163
Spring 2015 | STAT 5401 Section 001: Applied Multivariate Methods (53940)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Class Attributes:
- Delivery Medium
- Times and Locations:
- Regular Academic Session01/20/2015 - 05/08/2015Mon, Wed, Fri 11:15AM - 12:05PMUMTC, East BankRapson Hall 31
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve and profile analysis. Canonical correlation analysis. Principle components and factor analysis. Discrimination, classification, and clustering. prereq: 5302 or 8102 or instr consent
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/53940/1153
Spring 2014 | STAT 5401 Section 001: Applied Multivariate Methods (59013)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Class Attributes:
- Delivery Medium
- Times and Locations:
- Regular Academic Session01/21/2014 - 03/07/2014Mon, Wed, Fri 11:15AM - 12:05PMUMTC, East BankArmory Building 11603/10/2014 - 03/12/2014Mon, Wed 11:15AM - 12:05PMUMTC, East BankRapson Hall 4503/14/2014 - 05/09/2014Mon, Wed, Fri 11:15AM - 12:05PMUMTC, East BankArmory Building 116
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve and profile analysis. Canonical correlation analysis. Principle components and factor analysis. Discrimination, classification, and clustering.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/59013/1143
Spring 2013 | STAT 5401 Section 001: Applied Multivariate Methods (54346)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 3 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Class Attributes:
- Delivery Medium
- Times and Locations:
- Regular Academic Session01/22/2013 - 05/10/2013Mon, Wed, Fri 11:15AM - 12:05PMUMTC, East BankMolecular Cellular Biology 2-120
- Also Offered:
- Course Catalog Description:
- Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve and profile analysis. Canonical correlation analysis. Principle components and factor analysis. Discrimination, classification, and clustering.
- Class Notes:
- Remaining reserve seats are released on the Friday before first day of classes.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/54346/1133
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