Timeroom: Spring 2021

Displaying 471 - 480 of 1722 Results for: Attributes = EUNH
Manchester   UNH-Manchester :: Analytics

DATA 750 (M1) - Neural Networks

Neural Networks

Online 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:   4  
CRN: 55157
Artificial neural networks power the recent advances in computer vision, speech recognition, and machine translation. This is a first course on neural networks with a focus on applications in computer vision and natural language processing. Topics will include generic feedforward neural networks, convolutional neural networks for computer vision tasks, and recurrent neural networks with application to natural language processing, with other topics to be selected based on the interests of the instructor and the class. Prereq: Senior status.
Section Comments: Cross listed with COMP 750, COMP 850
You must sign up in the Dept Office before registering through WEBCAT.
Equivalent(s): COMP 750
Instructors: Jeremiah Johnson
Start Date End Date Days Time Location
2/1/2021 5/11/2021 M 9:01am - 10:50am ONLINE
Durham   Graduate School :: Analytics

DATA 800 (1ON) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - E-term III (01/19/2021 - 03/12/2021)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 53379
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.
You must sign up in the Dept Office before registering through WEBCAT.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
1/19/2021 3/12/2021 Hours Arranged ONLINE
Durham   Graduate School :: Analytics

DATA 820 (1ON) - Programming for Data Science

Programming for Data Science

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - E-term III (01/19/2021 - 03/12/2021)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 53376
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.
You must sign up in the Dept Office before registering through WEBCAT.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Instructors: Phani Kidambi
Start Date End Date Days Time Location
1/19/2021 3/12/2021 Hours Arranged ONLINE
Durham   Graduate School :: Analytics

DATA 821 (1ON) - Data Architecture

Data Architecture

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - E-term IV (03/22/2021 - 05/13/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 53377
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.
You must sign up in the Dept Office before registering through WEBCAT.
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
3/22/2021 5/13/2021 Hours Arranged ONLINE
Durham   Graduate School :: Analytics

DATA 822 (1ON) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - E-term IV (03/22/2021 - 05/13/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 53378
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.
You must sign up in the Dept Office before registering through WEBCAT.
Mutual Exclusion : ADMN 872
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Instructors: Bogdan Gadidov
Start Date End Date Days Time Location
3/22/2021 5/13/2021 Hours Arranged ONLINE

DPP 905 (1ON) - Fiscal Management for Development Organizations

Fiscal Management

Online Course Delivery Method: 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:   25  
CRN: 54071
Budgeting, goal setting, financial planning and financial analysis for development organizations.
You must sign up in the Dept Office before registering through WEBCAT.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Instructors: Robrecht Vanrijkel, Sanjeev Sharma
Start Date End Date Days Time Location
2/1/2021 5/11/2021 Hours Arranged ONLINE

DPP 982 (1ON) - Project Implementation and Monitoring

Proj. Implementation & Monitor

Online Course Delivery Method: 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:   25  
CRN: 51887
Students will begin implementation activities in field placement communities. Regular progress reports ad online postings will be required. Prereq: DPP 980.
You must sign up in the Dept Office before registering through WEBCAT.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Start Date End Date Days Time Location
2/1/2021 5/11/2021 Hours Arranged ONLINE
Durham   Paul College of Business&Econ :: Decision Sciences

DS 673 (01R) - Database Management and Systems Analysis

Database Mgt & Analysis

Online Course Delivery Method: Scheduled meeting time, Remote Section, Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 56926
Provides students with the skills necessary to understand the database environment of the firm and a background to develop moderately complex, stand-alone databases. Gives the foundation to study database development in multiuser, client/server environments. Prereq: ADMN 410.
You must sign up in the Dept Office before registering through WEBCAT.
Equivalent(s): DS 773
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Ermira Zifla
Start Date End Date Days Time Location
2/1/2021 5/11/2021 MW 11:10am - 12:30pm ONLINE
Durham   Paul College of Business&Econ :: Decision Sciences

DS 768 (1SY) - Forecasting Analytics

Forecasting Analytics

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 52528
The course focuses on Predictive Analytics. Businesses and organizations need to be able to forecast effectively in order to make decisions. Students learn the background necessary to develop forecasts for real-world business situations. An applied, hands-on approach is used in the course. Students learn and use SAS to analyze data and fit models. Topics include regression analysis in forecasting, model building, residual checking, analysis of seasonal and cyclical trends, and times series models. Prereq: ADMN 420.
Section Comments: Business Administration: Informational Systems and Business Analytics
You must sign up in the Dept Office before registering through WEBCAT.
Only listed campus in section: Durham
Only listed colleges in section: Paul College of Business&Econ
Only listed classes in section: Junior, Senior
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Burcu Eke Rubini
Start Date End Date Days Time Location
2/1/2021 5/11/2021 W 5:10pm - 8:00pm ONLINE
Durham   Paul College of Business&Econ :: Decision Sciences

DS 775 (01R) - Corporate Project Experience

Corporate Project Experience

Online Course Delivery Method: Scheduled meeting time, Remote Section, Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 56927
Provides real-life experience in organizations. Work in groups on information systems and/or projects identified by sponsoring organizations. Integrate concepts and skills learned in prior business and technology courses. Learn project management concepts, work with project management tools, and use presentation techniques. Prereq: senior standing, DS 773, two additional Information Systems & Business Analytics Option courses.
You must sign up in the Dept Office before registering through WEBCAT.
Only listed campus in section: Durham
Only listed classes in section: Senior
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Russell Miles
Start Date End Date Days Time Location
2/1/2021 5/11/2021 F 8:10am - 10:00am ONLINE