Timeroom: Fall 2022

Displaying 231 - 240 of 1205 Results for: Level = All Graduate
Durham   Engineering&Physical Sciences :: Computer Science

CS 980 (01) - Advanced Topics

AdvTop/Fair,Accnt&TrnspMchLrn

Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 16859
Section Comments: Advanced Topics: Fair, Accountable & Transparent Machine Learning
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Samuel Carton
Start Date End Date Days Time Location
8/29/2022 12/12/2022 TR 5:10pm - 6:30pm KING N233
Additional Course Details: 

Machine learning is increasingly all around us, determining who gets loans, parole, educational and career opportunities, medical care, and so on. With this increasing ubiquity--and with the increasing power and complexity of modern machine learning--have come concerns about the fairness, accountability, and transparency of these models and the systems that rely on them.  ML fairness seeks to detect and mitigate situations where models learn to unethically (and often illegally) rely on protected attributes like race, gender and sexual orientation in making high-stakes decisions like those in justice and finance. ML accountability seeks to deal properly with model mistakes. Who is at fault when a model screws up? How do we "fire" a model? How do we ensure that a given mistake doesn't happen again? Finally, ML transparency seeks to expose the internal logic of these complicated, nonlinear models in order to help humans use them in more effective, ethical and accountable ways. These three concerns are heavily intertwined, and have given rise to the Fair, Accountable and Transparent (FAccT) movement in machine learning. This movement has become a very popular sub-area of AI, bringing together researchers, businesses and policymakers in thinking about the implications of an AI-reliant society. 

This course will be a seminar consisting of roughly 50% reading and 50% coding assignments, including a final project exploring some aspect of FAccT ML. The coding parts of the course will be taught in Python, and will require CS750/CS850: Machine Learning (or equivalent) as a prerequisite. 

Durham   Engineering&Physical Sciences :: Computer Science

CS 998 (01) - Independent Study

Independent Study

Credits: 1.0 to 6.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
CRN: 10555
Section above not available for web registration; Check with dept for details.
Instructors: STAFF
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 999 (01) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2022 - Full Term* (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading
CRN: 10323
Cr/F.
Section above not available for web registration; Check with dept for details.
Instructors: STAFF
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Manchester   UNH-Manchester :: Analytics

DATA 800 (M1) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - E-term I (08/15/2022 - 10/07/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 15646
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
8/15/2022 10/7/2022 Hours Arranged ONLINE
Manchester   UNH-Manchester :: Analytics

DATA 820 (M1) - Programming for Data Science

Programming for Data Science

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - E-term I (08/15/2022 - 10/07/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 15647
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. Pre- or Coreq: DATA 800.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Phani Kidambi
Start Date End Date Days Time Location
8/15/2022 10/7/2022 Hours Arranged ONLINE
Manchester   UNH-Manchester :: Analytics

DATA 821 (M1) - Data Architecture

Data Architecture

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - E-term II (10/17/2022 - 12/13/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 15648
In this class, students will learn the foundations of databases and large datasets: upon completion, students will be able to explore out-of-ram datasets though traditional SQL databases and NoSQL databases. Students will also be introduced to distributed computing. All learning objectives are achieved through active application of these techniques to world datasets. Prereq: DATA 800; DATA 820.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
10/17/2022 12/13/2022 Hours Arranged ONLINE
Manchester   UNH-Manchester :: Analytics

DATA 822 (M1) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - E-term II (10/17/2022 - 12/13/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 15649
In this class, students will learn foundations of practical machine learning: upon completion, students will be able to understand and apply supervised and unsupervised learning in Python to build predictive models on real world datasets. Techniques covered include (but not limited to): preprocessing, dimensionality reduction, clustering, feature engineering and model evaluation. Models covered include: generalized linear models, tree-based models, bayesian models, support vector machines, and neural networks. All learning objectives are achieved through active application of these techniques to real world datasets. Prereq: DATA 800; DATA 820 Pre- or Coreq: DATA 821.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Mutual Exclusion : ADMN 872
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
10/17/2022 12/13/2022 Hours Arranged ONLINE

DPP 901 (1ON) - Integrative Approaches to Development Policy and Practice

Integrative Approaches

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - E-term I (08/15/2022 - 10/07/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15578
This course aims to provide students with a general introduction to the basic core competencies and practical skills required of a "generalist" development practitioner and serves as the foundation course for the curriculum. Case studies will be used to demonstrate the interconnectedness of natural sciences and engineering, social science, health sciences, and management, especially as they relate to communities.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: Michael Swack, Lee Farrow
Start Date End Date Days Time Location
8/15/2022 10/7/2022 Hours Arranged ONLINE

DPP 906 (1ON) - Organizational Management and Leadership

Organizational Management

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - E-term II (10/17/2022 - 12/13/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15579
Combines theory and practical information for students to learn traditional and contemporary organizational and leadership theories and apply them to their experience in organizations particularly non-profit institutions, non-governmental organizations. The course will focus on personal and inter-personal development such as self-awareness, stress and problem solving, interpersonal skills such as supportive communication, power and influence, motivation and conflict management: group skills such as delegation and team building; and leadership. Permission required.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: William Maddocks
Start Date End Date Days Time Location
10/17/2022 12/13/2022 Hours Arranged ONLINE

DPP 980 (1ON) - Introduction to Community Development Projects

Project Design

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - E-term I (08/15/2022 - 10/07/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15580
During the first semester, students will identify a community problem or issue, research and analyze the issue in consultation with colleagues and community stakeholders, and design a project. A preliminary design will be submitted at the end of the first semester.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: Jolan Rivera, Sanjeev Sharma
Start Date End Date Days Time Location
8/15/2022 10/7/2022 Hours Arranged ONLINE