Timeroom: Spring 2022

Displaying 1171 - 1180 of 4444 Results for: Level = All%20Graduate
Durham   Engineering&Physical Sciences :: Computer Science
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CS 998 (01) - Independent Study

Independent Study

Credits: 1.0 to 6.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
CRN: 50244
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science
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CS 998 (03) - Independent Study

Independent Study

Credits: 1.0 to 6.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 56674
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science
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CS 998 (07) - Independent Study

Independent Study

Credits: 1.0 to 6.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 54580
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science
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CS 999 (01) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Spring 2022 - Full Term* (01/25/2022 - 05/09/2022)
Grade Mode: Graduate Credit/Fail grading
CRN: 50268
Cr/F.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science
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CS 999 (07) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Spring 2022 - Full Term* (01/25/2022 - 05/09/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 54479
Cr/F.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 Hours Arranged TBA
Manchester   UNH-Manchester :: Analytics
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DATA 557 (M1) - Introduction to Data Science and Analytics

Introduction to Analytics

Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 52687
An introduction to data science and analytics. The landscape of analytics, including an overview of industries and sectors using analytics or expected to use analytics in the near future. Data generation, data management, data cleaning, and data preparation. Ethical use of data. Focus on visual and exploratory analysis. Project-based, with an emphasis on collaborative, experiential learning. Programming and statistical software will be used, but previous experience is not required.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Attributes: Environment,Tech&Society(Disc)
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 M 9:01am - 10:50am PANDRA P101
Manchester   UNH-Manchester :: Analytics
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DATA 675 (M1) - Predictive and Prescriptive Analytics II

Predictive Analytics II

Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56917
A second course in predictive and prescriptive analytics. Time series analysis and model ensembles. Bootstrapping, simulation, optimization. Monte Carlo methods. Project-based, with an emphasis on collaborative experiential learning. Statistical software will be used and programming required. Prereq: DATA 674.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 M 1:01pm - 2:50pm ONLINE
Manchester   UNH-Manchester :: Analytics
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DATA 690 (M1) - Internship Experience

Internship Experience

Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Credit/Fail Grading
Class Size:   5  
CRN: 57394
A field-based learning experience via placement in a business, non-profit, or government organization using analytics. Under the guidance of a faculty advisor and workplace supervisor, students gain practical experience solving problems and improving operational processes using analytics. May be repeated but no more than 4 credits may fill major requirements. Prereq: UMST 582.
Section Comments: Cross listed with COMP 690, COMP 891, COMP 892
Instructor permission required.
Repeat Rule: May be repeated for a maximum of 8 credits.
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 T 9:01am - 11:50am ONLINE
Durham   Graduate School :: Analytics
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DATA 800 (1ON) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Credits: 3.0
Term: Spring 2022 - E-term III (01/18/2022 - 03/11/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 53043
This course is designed to give students a solid understanding of the experience in probability, and inferential statistics. The course provides a foundational understanding of statistical concepts and tools required for decision making in a data science, business, research or policy setting. The course uses case studies and requires extensive use of statistical software.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/18/2022 3/11/2022 Hours Arranged ONLINE
Manchester   Graduate School :: Analytics
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DATA 800 (M1) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Credits: 3.0
Term: Spring 2022 - E-term III (01/18/2022 - 03/11/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 56918
This course is designed to give students a solid understanding of the experience in probability, and inferential statistics. The course provides a foundational understanding of statistical concepts and tools required for decision making in a data science, business, research or policy setting. The course uses case studies and requires extensive use of statistical software.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/18/2022 3/11/2022 Hours Arranged ONLINE