Timeroom: Spring 2020

Displaying 21 - 30 of 1168 Results for: Level = All Graduate
Durham   Paul College of Business&Econ :: Administration

ADMN 852 (4ON) - Marketing Research

Marketing Research

Credits: 3.0
Term: Spring 2020 - E-term IV (03/16/2020 - 05/07/2020)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 54429
Focuses on identification of research questions and objectives as well as collection and analysis of data to improve marketing decision making. Covers qualitative and quantitative methods, internal and external secondary data, sampling, analytical methods, and reporting.
Only listed programs in section: Business Administration MBA
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
3/16/2020 5/7/2020 Hours Arranged ONLINE
Durham   Paul College of Business&Econ :: Administration

ADMN 858 (3ON) - Revenue Management and Pricing Strategies

Revenue Management and Pricing

Credits: 3.0
Term: Spring 2020 - E-term III (01/13/2020 - 03/06/2020)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 56416
Revenue management is increasingly important in hospitality management. This course is for those interested in learning more about formulating tactics and strategies to maximize revenues for their organizations. The course will prepare students for roles responsible for financial performance and operation. Topics include history of revenue management, reservation systems, forecasting demand, inventory control, cost analysis, pricing strategy, channel management, revenue management tactics (i.e., overbook, discount allocation, and demand management and applications). Appropriate for any business application. Prereq: ADMN 960.
Section Comments: Hospitality Revenue Management & Pricing
Only listed programs in section: Business Administration MBA, Hospitality Management Cert
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/13/2020 3/6/2020 Hours Arranged ONLINE
Durham   Paul College of Business&Econ :: Administration

ADMN 860 (4ON) - International Marketing

International Marketing

Credits: 3.0
Term: Spring 2020 - E-term IV (03/16/2020 - 05/07/2020)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 56417
This course examines marketing practices in a global environment. The course assumes familiarity with marketing management and utilizes this as a base to develop insights and understanding in an international context. Special emphasis is placed on how to develop global marketing strategies, adaptation of marketing execution (communications, products, pricing, channels), and multinational and global structuring of the marketing and sales organization. Pre- or Coreq: ADMN 960.
Only listed programs in section: Business Administration MBA
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
3/16/2020 5/7/2020 Hours Arranged ONLINE
Durham   Paul College of Business&Econ :: Administration

ADMN 863 (3ON) - Marketing Analytics

Marketing Analytics

Credits: 3.0
Term: Spring 2020 - E-term III (01/13/2020 - 03/06/2020)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 55385
Marketing Analytics is the art and science of developing and utilizing quantitative marketing decision models to plan, implement, and analyze marketing strategies and tactics. The course is primarily designed for graduate students who have already acquired basic data analysis skills as well as principles of marketing. Using marketing cases and related exercises tied to Marketing Engineering for Excel (ME-EL), students will develop marketing plans in various decision contexts. Specifically, this course will introduce a wide variety of quantitative models to improve marketing decision making in such areas as market response, customer segmentation/targeting, product/brand positioning, new product development, and allocation of marketing mix expenditures. Prereq: ADMN 960.
Only listed programs in section: Business Administration MBA, Business Analytics Cert
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/13/2020 3/6/2020 Hours Arranged ONLINE
Durham   Paul College of Business&Econ :: Administration

ADMN 864 (3ON) - New Product Development

New Product Development

Credits: 3.0
Term: Spring 2020 - E-term III (01/13/2020 - 03/06/2020)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 54430
Provides a practical introduction to the process of designing and marketing new products. Covers the major phases of market-focused product development from idea to launch, including opportunity identification and market definition, customer research and product concept development, pre-marketing testing and launch marketing. Presents proven approaches and techniques used in new product development. Allows student teams to apply lessons to the development and testing of new product concepts. Pre- or Co-req: ADMN 960.
Only listed programs in section: Business Administration MBA
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/13/2020 3/6/2020 Hours Arranged ONLINE
Durham   Paul College of Business&Econ :: Administration

ADMN 872 (P04) - Predictive Analytics

Predictive Analytics

Credits: 3.0
Term: Spring 2020 - E-term IV (03/16/2020 - 05/07/2020)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 56418
This course will focus on modern predictive analytic techniques. Each module is designed to introduce a set of statistical techniques and their application to real data from various business fields. The course will focus on 4 broad topics 1) Finding the most appropriate model for the data, 2) selecting optimal set of predictors, 3) reducing dimensionality of the data, 4)improving prediction performance. Programming using R, open source software, is fundamental to the course. Prereq: ADMN 950 or permission.
Mutual Exclusion : DATA 822
Only listed programs in section: Business Administration MBA, Business Analytics Cert
Instructors: STAFF
Start Date End Date Days Time Location
3/16/2020 5/7/2020 T 5:40pm - 9:15pm PCBE 215
Durham   Paul College of Business&Econ :: Administration

ADMN 873 (P03) - Data Management and Visualization

Data Mgmt & Visualization

Credits: 3.0
Term: Spring 2020 - E-term III (01/13/2020 - 03/06/2020)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 56419
With improvements in computing technology and the ability to generate/collect vast amounts of data, many organizations are quickly finding themselves data rich yet information poor. The goal of this course is to expose students to techniques and technologies that will enable them to become key players in helping organizations transform unstructured and structured data from various sources including, social media, the web, databases and archival data, into meaningful and insightful information facilitating effective decision making. Prereq: ADMN 926 or permission.
Section Comments: Data Management & Visualization
Only listed programs in section: Business Administration MBA, Business Analytics Cert
Instructors: STAFF
Start Date End Date Days Time Location
1/13/2020 3/6/2020 T 5:40pm - 9:15pm PCBE 215
Durham   Paul College of Business&Econ :: Administration

ADMN 875 (3ON) - Prescriptive Analytics

Prescriptive Analytics

Credits: 3.0
Term: Spring 2020 - E-term III (01/13/2020 - 03/06/2020)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 56420
This course is concerned with the final frontier of business analytics, and develops student knowledge of the uses of descriptive statistics and forecasts to find and suggest optimal courses of action, focusing on the development and use of optimization and Monte-Carlo simulation models for making quantitative business decisions. Optimization topics include linear and mixed-integer programming, network flow optimization, and nonlinear optimization. Application areas include operations & supply chain management, marketing, and finance. Prereq: ADMN 950.
Only listed programs in section: Business Administration MBA, Business Analytics Cert
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
1/13/2020 3/6/2020 Hours Arranged ONLINE
Durham   Paul College of Business&Econ :: Administration

ADMN 882 (P03) - Managing Growth and Innovation

Managing Growth and Innovation

Credits: 3.0
Term: Spring 2020 - E-term III (01/13/2020 - 03/06/2020)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 56421
This course deals with central concepts and applications at the intersection of technological innovation, organizational growth, and corporate entrepreneurship or intrapreneurship. Building an organization to achieve high growth and successfully and repeatedly bring innovations to market is a daunting managerial challenge. The first part of the course examines why it is so challenging to maintain sustained growth in disruptive environments. In the second part, the course takes a look at technological innovation as a lever that can help firms achieve sustained growth, by providing a number of applied tools, frameworks, and practices mangers can use to manage growth and innovation in their organizational contexts.
Only listed campus in section: Durham, Manchester
Only listed programs in section: Business Administration MBA
Instructors: STAFF
Start Date End Date Days Time Location
1/13/2020 3/6/2020 T 5:40pm - 9:15pm PCBE 235
Durham   Paul College of Business&Econ :: Administration

ADMN 898 (4ON) - Topics

Top/Applied Financial Modeling

Credits: 3.0
Term: Spring 2020 - E-term IV (03/16/2020 - 05/07/2020)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 55400
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 up to 4 times.
Only listed programs in section: Business Administration MBA, Business Analytics Cert
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
3/16/2020 5/7/2020 Hours Arranged ONLINE
Additional Course Details: 

The main objective of the course is to bridge the gap between financial theory and practice by using software applications and real-world data to solve a variety of financial problems. The course is very ‘hands-on’ and is expected to help students develop skills that are useful in a variety of jobs in finance, accounting, insurance, and real estate.