Timeroom: Fall 2023

Displaying 81 - 90 of 370 Results for: Attributes = EUNH
Manchester   Coll of Professional Studies :: Analytics

DATA 690 (M1) - Internship Experience

Internship Experience

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 1.0 to 4.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Credit/Fail Grading
Class Size:   2  
CRN: 14009
A field-based learning experience via placement in a business, non-profit, or government organization using analytics. Under the guidance of a faculty advisor and workplace supervisor, students gain practical experience solving problems and improving operational processes using analytics. May be repeated but no more than 4 credits may fill major requirements.
Prerequisite(s): UMST 582
Repeat Rule: May be repeated for a maximum of 8 credits.
Instructors: Karen Jin
Start Date End Date Days Time Location
8/28/2023 12/11/2023 T 9:10am - 12:00pm ONLINE
Additional Course Details: 

Registering for academic credit does not complete your required internship approval process. Students must register and “request an experience” in the UNH online platform of Handshake once they have their internship. Visit https://unh.joinhandshake.com/experiences/new to complete your approval process.

For more information on how to complete the Handshake approval process visit, https://manchester.unh.edu/student-internships or contact the UNH Manchester Career and Professional Success (CaPS) Office with questions.

Manchester   Coll of Professional Studies :: 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 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 14288
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
8/28/2023 10/20/2023 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 (no campus visits), EUNH
Credits: 3.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 14289
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 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
8/28/2023 10/20/2023 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: Analytics

DATA 821 (M1) - Data Architecture

Data Architecture

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 14290
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.
Prerequisite(s): DATA 800 and DATA 820
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
10/30/2023 12/22/2023 Hours Arranged ONLINE
Manchester   Coll of Professional Studies :: 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 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 14291
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.
Prerequisite(s): DATA 800 and DATA 820 and DATA 821 May be taken concurrently
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
10/30/2023 12/22/2023 Hours Arranged ONLINE

DPP 901 (01) - Integrative Approaches to Development Policy and Practice

Integrative Approaches

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14240
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.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: Michael Swack, Lee Farrow
Start Date End Date Days Time Location
8/28/2023 10/20/2023 Hours Arranged ONLINE

DPP 906 (01) - Organizational Management and Leadership

Organizational Management

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14241
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.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: William Maddocks
Start Date End Date Days Time Location
10/30/2023 12/22/2023 Hours Arranged ONLINE

DPP 980 (01) - Introduction to Community Development Projects

Project Design

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14242
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.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: Jolan Rivera, Sanjeev Sharma
Start Date End Date Days Time Location
8/28/2023 10/20/2023 Hours Arranged ONLINE

DPP 981 (01) - Project Design and Planning

Project Design and Planning

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 11518
Studies how project plan inputs are accurately gathered, integrated, documented and managed; the tools and techniques used in project management; and the outputs of a project plan to viable stakeholders. Considers the development of project scope, work breakdown structures, and the importance of quality, risk, and contingency management in planning development projects.
Prerequisite(s): DPP 980
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: Jolan Rivera, Sanjeev Sharma
Start Date End Date Days Time Location
10/30/2023 12/22/2023 Hours Arranged ONLINE
Durham   Paul College of Business&Econ :: Decision Sciences

DS 898 (02) - Topics in Business Analytics

Topics in Business Analytics

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14742
Special Topics; may be repeated. Pre- and co-requisite courses vary. Please consult time and room schedule for the specific 898 topics section you are interested in for details.
Repeat Rule: May be repeated for a maximum of 12 credits.
Instructors: Kholekile Gwebu
Start Date End Date Days Time Location
10/30/2023 12/22/2023 W 5:40pm - 9:15pm ONLINE