Timeroom: Spring 2022

Displaying 221 - 230 of 1212 Results for: Level = All Graduate
Durham   Engineering&Physical Sciences :: Computer Science

CS 850 (01) - Machine Learning

Machine Learning

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 53553
An introduction to fundamental concepts and common methods in machine learning. In addition to theoretical topics, the course involves hands-on experience in making predictions using synthetic and real-world datasets. Prereq: Statistics, Programming or permission of instructor.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Marek Petrik
Start Date End Date Days Time Location
1/25/2022 5/9/2022 MW 11:10am - 12:30pm KING N113
1/25/2022 5/9/2022 F 1:10pm - 2:00pm KING N113
Durham   Engineering&Physical Sciences :: Computer Science

CS 855 (01) - Computer Vision

Computer Vision

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 56670
Studying techniques that make a machine 'see' and 'understand' the world in a human-like fashion. The course discusses the theory behind common computer vision techniques and trains students on designing their own algorithms for understanding image or video. Prereq: Statistics course, and Programming course or permission of instructor.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Momotaz Begum
Start Date End Date Days Time Location
1/25/2022 5/9/2022 MW 3:40pm - 5:00pm KING N121
Durham   Engineering&Physical Sciences :: Computer Science

CS 857 (01) - Mathematical Optimization for Applications

Mathematical Optimization

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   8  
CRN: 53850
This course introduces the foundations of mathematical optimization and reinforces them via applications. The content includes convex optimization, first and second-order methods, constrained problems, duality, linear and quadratic programming, as well as discrete and non-convex optimization. Applications will focus on machine learning methods but also include problems from engineering and operations research. Prereq: MATH 426; Programming proficiency in MATLAB, R, Java, C, Python, or equivalent.
You must sign up in the Dept Office before registering through WEBCAT.
Equivalent(s): MATH 857
Instructors: Mark Lyon
Start Date End Date Days Time Location
1/25/2022 5/9/2022 MWF 9:40am - 11:00am KING N334
Durham   Engineering&Physical Sciences :: Computer Science

CS 858 (01) - Algorithms

Algorithms

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   8  
CRN: 54088
An introduction to important concepts in the design and analysis of algorithms and data structures, including implementation, complexity, analysis, and proofs of correctness. Prereq: understanding of basic data structures, familiarity with proof methods and basic concepts from discrete mathematics and the ability to program with recursion.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Laura Dietz
Start Date End Date Days Time Location
1/25/2022 5/9/2022 TR 3:40pm - 5:00pm KING N101
1/25/2022 5/9/2022 F 2:10pm - 3:00pm KING N113
Durham   Engineering&Physical Sciences :: Computer Science

CS 861 (01) - Programming Language Concepts and Features

Program Lang Concepts&Features

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 56672
Explores the main features of modern, high-level, general-purpose programming languages from the user (programmer) standpoint. Students learn how specific features of programming languages can be used effectively in solving programming problems. The course is also an opportunity to use paradigms that expand on simple imperative programming, such as object-oriented, functional and concurrent programming. Prereq: Operating systems fundamentals and Computer organization, some knowledge of Java.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Michel Charpentier
Start Date End Date Days Time Location
1/25/2022 5/9/2022 TR 2:10pm - 3:30pm PARS NB22
Durham   Engineering&Physical Sciences :: Computer Science

CS 875 (01) - Database Systems

Database Systems

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 53297
Database analysis, design, and implementation. Focus on the relational model. Data description and manipulation languages, schema design and normalization, file and index organizations, data integrity and reliability. Usage of selected DBMS. Prereq: Data Structures.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Elizabeth Varki
Start Date End Date Days Time Location
1/25/2022 5/9/2022 MWF 9:10am - 10:00am KING N133
Durham   Engineering&Physical Sciences :: Computer Science

CS 898 (01) - Master's Project

Master's Project

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
CRN: 50552
See instructor for permission then sign up in the dept office before registering 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

CS 899 (01) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Spring 2022 - Full Term* (01/25/2022 - 05/09/2022)
Grade Mode: Graduate Credit/Fail grading
CRN: 50252
May be repeated up to a maximum of 6 credits. Cr/F.
See instructor for permission then sign up in the dept office before registering through WEBCAT.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 899 (03) - Master's Thesis

Master's Thesis

Credits: 1.0 to 6.0
Term: Spring 2022 - Full Term* (01/25/2022 - 05/09/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 56673
May be repeated up to a maximum of 6 credits. Cr/F.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Aleksey Charapko
Start Date End Date Days Time Location
1/25/2022 5/9/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 900 (01) - Graduate Seminar

Graduate Seminar

Credits: 1.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   35  
CRN: 54414
Regularly scheduled seminars presented by outside speakers, UNH faculty, and graduate students. Topics include reports of research ideas, progress, and results. Cr/F.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Elizabeth Varki
Start Date End Date Days Time Location
1/25/2022 5/9/2022 F 12:10pm - 1:00pm KING N101