Timeroom: Fall 2024

Displaying 1241 - 1250 of 4523 Results for: Level = All%20Graduate
Durham   Engineering&Physical Sciences :: Computer Science

CS 900 (01) - Graduate Seminar

Graduate Seminar

Online Course Delivery Method: Hybrid / Blended
Credits: 1.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Graduate Credit/Fail grading
Class Size:   35  
CRN: 10261
Regularly scheduled seminars presented by outside speakers, UNH faculty, and graduate students. Topics include reports of research ideas, progress, and results.
Instructors: Elizabeth Varki
Start Date End Date Days Time Location
8/26/2024 12/9/2024 Hours Arranged ONLINE
8/26/2024 12/9/2024 F 12:10pm - 1:00pm KING N121
Durham   Engineering&Physical Sciences :: Computer Science

CS 920 (01) - Distributed Systems and Algorithms

Distributed Sys and Algorithms

Credits: 3.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 16263
Covers fundamental topics in distributed systems: time, global state, synchronization, election, consensus, distributed file systems, security. Also includes a study of several distributed applications. Students are expected to have background in operating system fundamentals.
Instructors: Elizabeth Varki
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MWF 9:10am - 10:00am KING N242
Durham   Engineering&Physical Sciences :: Computer Science

CS 998 (01) - Independent Study

Independent Study

Credits: 1.0 to 6.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
CRN: 10436
Independent Study.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
8/26/2024 12/9/2024 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 999 (01) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2024 - Full Term - Grad Thesis (08/26/2024 - 12/09/2024)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 13925
Doctoral Research.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: R Daniel Bergeron
Start Date End Date Days Time Location
8/26/2024 12/9/2024 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 999 (17) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2024 - Full Term - Grad Thesis (08/26/2024 - 12/09/2024)
Grade Mode: Graduate Credit/Fail grading
Class Size:   2  
CRN: 15519
Doctoral Research.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Instructors: Thomas Butkiewicz
Start Date End Date Days Time Location
8/26/2024 12/9/2024 Hours Arranged TBA
CPS Online   Coll of Professional Studies :: Data Analytics

DAT 510 (01) - Introduction to Data Analytics

Intro Data Analytics

Online Course Delivery Method: Online Asynchronous
Credits: 4.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14850
Data analytics is defined as a scientific process that produces actionable insights. Students will be introduced to the concepts of data analysis, what the role of a data analyst will do, and the tools that are used to perform daily functions. This course will cover data analytics and data governance where students will learn about the fundamentals of data gathering, data mining, and how the decision-making process can be affected. This course also addresses the skills that are required to effectively communicate data to co-workers, leadership, and stakeholders. Excel proficiency is expected prior to enrollment in this course. Students should consider completing CMPL 402 Excel if they have not completed an Excel course in transfer.
Advisor Approval Required. Contact your Academic Advisor for approval and registration.
Equivalent(s): DATA 510G
Campuses not allowed in section: Durham
Instructors: Alison Russo
Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE
CPS Online   Coll of Professional Studies :: Data Analytics

DAT 535 (01) - Data Mining, Cleaning, and Visualization

Data Mining/Clean/Visualiz

Online Course Delivery Method: Online Asynchronous
Credits: 4.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14851
This course will cover data mining, cleaning, and visualization preparation, including what data mining is and how it pertains to data analytics. Data cleaning and preparation for data analysis will also be covered. Students will have the opportunity to learn about data visualizations, which includes data modeling, mapping data attributes to graphical attributes, and using data visualization tools.
Prerequisite(s): DAT 510 or DATA 510G
Equivalent(s): DATA 520G
Campuses not allowed in section: Durham
Instructors: Alison Russo
Start Date End Date Days Time Location
10/28/2024 12/20/2024 Hours Arranged ONLINE
CPS Online   Coll of Professional Studies :: Data Analytics

DAT 610 (X1-) - Data Analytics and Technologies

Data Analytics and Tech

Online Course Delivery Method: Online Asynchronous
Credits: 4.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   1  
CRN: 16934
Students will have the opportunity to explore contemporary systems and technologies impacting the field of data analytics, including the cloud, AI, and machine learning. This course will also explore areas of technology that provide opportunities for future professional specialization, such as emerging Big Data technologies that support the work of data analysts, and the role of Information Technology (IT).
Advisor Approval Required. Contact your Academic Advisor for approval and registration.
Prerequisite(s): DAT 535 or DATA 520G
Equivalent(s): DATA 610G
Campuses not allowed in section: Durham
Instructors: Anthony Sulpizio
Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE
CPS Online   Coll of Professional Studies :: Data Analytics

DAT 620 (X1) - Data Analytics in Business Intelligence

Data Analytics in Bus Intel

Online Course Delivery Method: Online Asynchronous
Credits: 4.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   1  
CRN: 16911
This course will examine the role of data analysis through the lens of multiple business disciplines such as business, health care, and marketing. Students will have the opportunity to explore key areas in the analytical process, including how data are created, stored, and accessed. The course covers how businesses and organizations work with data to create environments in which analytics can drive effective and efficient decision making.
Advisor Approval Required. Contact your Academic Advisor for approval and registration.
Prerequisite(s): DAT 610 or DATA 610G
Equivalent(s): DATA 620G
Campuses not allowed in section: Durham
Instructors: Anthony Sulpizio
Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE