Timeroom: Fall 2024

Displaying 261 - 270 of 1330 Results for: Level = All Graduate
Durham   Engineering&Physical Sciences :: Computer Science

CS 899 (15) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Fall 2024 - Full Term - Grad Thesis (08/26/2024 - 12/09/2024)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 14305
Master's Thesis.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Marek Petrik
Start Date End Date Days Time Location
8/26/2024 12/9/2024 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 899 (16) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Fall 2024 - Full Term - Grad Thesis (08/26/2024 - 12/09/2024)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 14306
Master's Thesis.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Wheeler Ruml
Start Date End Date Days Time Location
8/26/2024 12/9/2024 Hours Arranged TBA
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
CRN: 13925
Doctoral Research.
Instructor Approval Required. Contact Instructor 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 (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
Manchester   Coll of Professional Studies :: Analytics

DATA 800 (M1) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 13440
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.
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Analytics

DATA 820 (M1) - Programming for Data Science

Programming for Data Science

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 13441
In this class, students will build their foundational toolbox in data science: upon completion, students will be able to use the computer from the command line; practice version control with GIT & GitHub; gain a mastery of programming in Python; data wrangling with Python and perform an exploratory data analysis (EDA) in Python. All learning objectives are achieved through active application of these techniques to real world datasets.
Prerequisite(s): DATA 800 with minimum grade of B- May be taken concurrently
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Phani Kidambi
Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE