Timeroom: Spring 2021

Displaying 461 - 470 of 1722 Results for: Attributes = EUNH
Durham   Engineering&Physical Sciences :: Computer Science

CS 857 (01R) - Mathematical Optimization for Applications

Mathematical Optimization

Course Delivery Method: Scheduled meeting time, Remote Section, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   8  
CRN: 56976
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: Marek Petrik
Start Date End Date Days Time Location
2/1/2021 5/11/2021 MWF 9:40am - 11:00am ONLINE
Durham   Engineering&Physical Sciences :: Computer Science

CS 858 (1SY) - Algorithms

Algorithms

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 54687
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.
Section Comments: Cross-listed with CS 758
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Laura Dietz
Start Date End Date Days Time Location
2/1/2021 5/11/2021 TR 3:40pm - 5:00pm ONLINE
2/1/2021 5/11/2021 F 2:10pm - 3:00pm ONLINE
Durham   Engineering&Physical Sciences :: Computer Science

CS 875 (1SY) - Database Systems

Database Systems

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   7  
CRN: 53682
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
2/1/2021 5/11/2021 MWF 9:10am - 10:00am ONLINE
Durham   Engineering&Physical Sciences :: Computer Science

CS 880 (1SY) - Topics

Topics in Computer Vision

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 53616
Material not normally covered in regular course offerings. May be repeated.
Section Comments: Full Title: Topics in Computer Vision
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Momotaz Begum
Start Date End Date Days Time Location
2/1/2021 5/11/2021 MW 3:40pm - 5:00pm ONLINE
Durham   Engineering&Physical Sciences :: Computer Science

CS 900 (1ON) - Graduate Seminar

Graduate Seminar

Course Delivery Method: Online (no campus visits), EUNH
Credits: 1.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Graduate Credit/Fail grading
Class Size:   35  
CRN: 55261
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
2/1/2021 5/11/2021 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Computer Science

CS 933 (1SY) - Human Robot Interaction

Human Robot Interaction

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 54115
Human robot interaction (HRI) is a multidisciplinary research domain that investigates the issues involved with smooth integration of robots in the human society. This course will discuss the evolution of HRI research over the past two decades with an emphasis on HRI algorithms that promote safe, meaningful, and goal-oriented human-robot interactions. Topics also include experimental design methodologies commonly used in HRI studies. Prereq: CS 830 or CS 833 or CS 850 or instructor's permission.
You must sign up in the Dept Office before registering through WEBCAT.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Momotaz Begum
Start Date End Date Days Time Location
2/1/2021 5/11/2021 MW 2:10pm - 3:30pm ONLINE
Durham   Engineering&Physical Sciences :: Computer Science

CS 950 (01R) - Advanced Machine Learning

Advanced Machine Learning

Course Delivery Method: Scheduled meeting time, Remote Section, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 56978
Course covers advanced machine learning techniques for making good decisions driven by data. The main focus areas are reinforcement learning, exploration-exploitation trade-off, mathematical optimization methods, and practical applications. Group-based Project on a selected topic. Prereq: instructor's permission.
You must sign up in the Dept Office before registering through WEBCAT.
Repeat Rule: May be repeated for a maximum of 9 credits.
Instructors: Marek Petrik
Start Date End Date Days Time Location
2/1/2021 5/11/2021 MW 3:40pm - 5:00pm ONLINE
Durham   Engineering&Physical Sciences :: Computer Science

CS 953 (1SY) - Data Science for Knowledge Graphs and Text

DS - Knowledge Graphs and Text

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 54114
This course covers basic and advanced algorithms and techniques for data science with knowledge graph and text data. This includes a wide range of algorithms for graph processing, text processing, and information retrieval with a focus of knowledge graphs and text from knowledge articles. Prereq: CS 853 or Permission of Instructor.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Laura Dietz
Start Date End Date Days Time Location
2/1/2021 5/11/2021 TR 5:10pm - 6:30pm ONLINE
Durham   Engineering&Physical Sciences :: Computer Science

CS 980 (01R) - Advanced Topics

Advanced Topics

Course Delivery Method: Scheduled meeting time, Remote Section, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 56979
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Aleksey Charapko
Start Date End Date Days Time Location
2/1/2021 5/11/2021 TR 11:10am - 12:30pm ONLINE
2/1/2021 5/11/2021 MW Hours Arranged ONLINE
Manchester   UNH-Manchester :: Analytics

DATA 557 (M1) - Introduction to Data Science and Analytics

Introduction to Analytics

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2021 - UNHM Credit (15 weeks) (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 52973
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.
You must sign up in the Dept Office before registering through WEBCAT.
Attributes: Environment,Tech&Society(Disc)
Instructors: Jeremiah Johnson
Start Date End Date Days Time Location
2/1/2021 5/11/2021 M 1:01pm - 2:50pm ONLINE