Timeroom: Fall 2021

Displaying 231 - 240 of 1106 Results for: Level = All Graduate
Manchester   Graduate School :: Analytics

DATA 821 (M1) - Data Architecture

Data Architecture

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Grade Mode: Letter Grading
Class Size:   16  
CRN: 16966
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.
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Timothy Chadwick
Start Date End Date Days Time Location
10/18/2021 12/14/2021 Hours Arranged ONLINE
Manchester   Graduate School :: Analytics

DATA 822 (M1) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Grade Mode: Letter Grading
Class Size:   16  
CRN: 16967
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.
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
10/18/2021 12/14/2021 Hours Arranged ONLINE

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

Integrative Approaches

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 16895
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
8/16/2021 10/8/2021 Hours Arranged ONLINE

DPP 906 (1ON) - Organizational Management and Leadership

Organizational Management

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 16896
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
10/18/2021 12/14/2021 Hours Arranged ONLINE

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

Project Design

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 16897
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
Start Date End Date Days Time Location
8/16/2021 10/8/2021 Hours Arranged ONLINE

DPP 981 (1ON) - Project Design and Planning

Project Design and Planning

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 11914
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. Prereq: DPP 980.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Start Date End Date Days Time Location
10/18/2021 12/14/2021 Hours Arranged ONLINE
Durham   Paul College of Business&Econ :: Decision Sciences

DS 801 (01) - Business Intelligence

Business Intelligence

Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15098
This course is designed to introduce students to the skills needed to succeed in today's big data environment through the application of data management techniques, business-oriented hands-on cases and exercises. Students will acquire concepts and application of data management techniques, business-oriented hands-on cases and exercises. Students will acquire concepts and techniques in the theory, design, and implementation of relational databases and Data Warehousing (DW) systems, queries in Structured Query Language (SQL), next generation query language (NoSQL).
Only listed campus in section: Durham
Instructors: Jing Wang
Start Date End Date Days Time Location
8/16/2021 10/8/2021 M 5:40pm - 9:15pm PBLANE 216
Durham   Paul College of Business&Econ :: Decision Sciences

DS 802 (01) - Probability and Simulation

Probability and Simulation

Credits: 3.0
Term: Fall 2021 - E-term I (08/16/2021 - 10/08/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15099
The course is designed to provide an introductory understanding of the fundamentals of uncertainty quantification in business decision making. The course will serve as a building block for subsequent course work in inferential statistics, predictive analytics, and time series analysis. The topics include the axioms of probability theory, random variables, probability distributions, random variable generation using simulation methods, and system simulation for relevant business applications (e.g. inventory management, supply chain management, and staffing in call centers). An introduction to the programming language R will be part of the learning experience.
Only listed campus in section: Durham
Only listed majors in section: BUSINESS ANLYT
Instructors: Tevfik Aktekin
Start Date End Date Days Time Location
8/16/2021 10/8/2021 R 5:40pm - 9:15pm PBLANE 216
Durham   Paul College of Business&Econ :: Decision Sciences

DS 803 (01) - Fundamentals of Statistical Analysis

Fundamentals of Statistical

Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15100
The course is designed to introduce the fundamentals of statistics needed for solving business analytics problems. The course will mainly cover the broadly defined subjects of random sampling, likelihoods, estimation using maximum likelihood, Bayesian inference using priors, computational statistics methods, interval estimation, hypothesis testing for continuous data, Gaussian linear models, and model diagnostics. The course will conclude with a brief introduction to nonparametric analysis. Prereq: DS 802.
Only listed campus in section: Durham
Instructors: Burcu Eke Rubini
Start Date End Date Days Time Location
10/18/2021 12/14/2021 R 5:40pm - 9:15pm PBLANE 216
Durham   Paul College of Business&Econ :: Decision Sciences

DS 804 (01) - Exploration and Communication of Data

Communication of Data

Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Grade Mode: Letter Grading
Class Size:   24  
CRN: 15101
The goal of this course is to expose students to techniques and technologies that will enable them to collect, harvest and transform unstructured and structured data into useful business insights. The first half of the course deals with data management and provides an introduction to data types and sources, data acquisition and harvesting tools and techniques and effective strategies and methods for data aggregation and analysis. In the second half of the course, students learn about the theoretical underpinnings of data visualization and use a variety of software tools to visualize business data in order to generate insightful information that facilitates effective business decision making.
Only listed campus in section: Durham
Instructors: Kholekile Gwebu
Start Date End Date Days Time Location
10/18/2021 12/14/2021 M 5:40pm - 9:15pm PBLANE 216