Timeroom: Spring 2019

Displaying 21 - 30 of 1103 Results for: Level = All Graduate
Durham   Paul College of Business&Econ > Administration

ADMN 898 (3ON) - Top/Prescriptive Analytics

Credits: 3.0
Term: Spring 2019 - E-term III (01/14/2019 - 03/08/2019)
Class Size:   40  
CRN: 56936
Special topics; may be repeated. Prereq: consent of adviser and instructor.
Only listed majors in section: ANALYT DS CERT, ANALYTICS, ANALYTICS CERT, ANALYTICS PP, BUSINESS ADM M, BUSINESS ADM OL, BUSINESS ADM PT, BUSINESS ADMIN
Attributes: Online (no campus visits), EUNH
Instructors: Ali Hojjat
Start Date End Date Days Time Location
1/14/2019 3/8/2019 Hours Arranged ONLINE
Additional Course Details: 

This course focuses on the development and use of optimization and Monte-Carlo simulation models for making quantitative business decisions. With respect to optimization, the course will cover linear and mixed-integer programming, network flow optimization, and nonlinear optimization. Additional topics such as goal programming and decision trees may also be discussed.

Application areas include Marketing (e.g., advertising, pricing and revenue optimization), Finance (e.g., capital budgeting and portfolio optimization), and Operations management (e.g., production and inventory planning, project or personnel scheduling, shipping and distribution, routing, ride matching, location selection, etc.)

The course delivery will be a mix of lectures, hands-on problem solving, and case discussions. Most of the model development and analysis will be done using advanced tools and add-ins within a spreadsheet environment, but additional software may be introduced as needed.

Durham   Paul College of Business&Econ > Administration

ADMN 898 (4HY) - Topics/Negotiations

Credits: 3.0
Term: Spring 2019 - E-term IV (03/18/2019 - 05/09/2019)
Class Size:   36  
CRN: 56756
Special topics; may be repeated. Prereq: consent of adviser and instructor.
Only listed majors in section: BUSINESS ADM M, BUSINESS ADM OL, BUSINESS ADM PT, BUSINESS ADMIN
Attributes: Online with some campus visits, EUNH
Instructors: Rachel Campagna
Start Date End Date Days Time Location
3/18/2019 5/9/2019 Hours Arranged ONLINE
4/5/2019 4/7/2019 FSU Hours Arranged PCBE 215
4/5/2019 4/7/2019 FSU Hours Arranged PCBE 235
4/5/2019 4/7/2019 FSU Hours Arranged PCBE 205
Additional Course Details: 

Negotiating and decision-making are essential managerial skills, necessary for influencing employees and stakeholders. This interactive, experiential course will teach you a proven framework for maximizing your value in a negotiation. You will work with classmates to identify solutions to common, but, complex, negotiation dilemmas. 

This course is designated as "hybrid" and meets face-to-face for only three full days: 8am-5pm, April 5-7. A requirement for this course is that you attend class each day for the full day the course meets face-to-face.

(A sample syllabus is included below from last time the course met)

 

Durham   Paul College of Business&Econ > Administration

ADMN 898 (P01) - Top/Data Management & Visual.

Credits: 3.0
Term: Spring 2019 - E-term III (01/14/2019 - 03/08/2019)
Class Size:   30  
CRN: 56752
Special topics; may be repeated. Prereq: consent of adviser and instructor.
Section Comments: Topics/Data Management & Visualization.
Only listed majors in section: ANALYT DS CERT, ANALYTICS, ANALYTICS CERT, ANALYTICS PP, BUSINESS ADM M, BUSINESS ADM OL, BUSINESS ADM PT, BUSINESS ADMIN
Instructors: Kholekile Gwebu
Start Date End Date Days Time Location
1/14/2019 3/8/2019 T 5:40pm - 9:15pm PCBE 215
Additional Course Details: 

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 that facilitates effective decision making.

Durham   Paul College of Business&Econ > Administration

ADMN 898 (P03) - Top/Managing Growth & Innov.

Credits: 3.0
Term: Spring 2019 - E-term III (01/14/2019 - 03/08/2019)
Class Size:   40  
CRN: 56753
Special topics; may be repeated. Prereq: consent of adviser and instructor.
Section Comments: Topics/Managing Growth & Innovation.
Only listed majors in section: ANALYT DS CERT, ANALYTICS, ANALYTICS CERT, ANALYTICS PP, BUSINESS ADM M, BUSINESS ADM OL, BUSINESS ADM PT, BUSINESS ADMIN
Instructors: Devkamal Dutta
Start Date End Date Days Time Location
1/14/2019 3/8/2019 T 5:40pm - 9:15pm PCBE 235
Additional Course Details: 

ADMN 898 Managing Growth and Innovation deals with central concepts and related applications at the intersection of technological innovation, organizational growth, and corporate entrepreneurship or intrapreneurship.

The overall course structure is based on the principles of ‘integrated course design’ (Fink, 2003), with close linkages among three core course attributes: learning goals, teaching and learning activities, and feedback and assessment. In effect, this means the course lays out explicit learning goals students will achieve as the course unfolds. Additionally, the teaching and learning activities throughout the course are set up to help students to progress towards attaining the learning goals. Finally, student performance assessment and feedback will be geared toward providing timely feedback as to how “close” the student is toward achieving the learning goal(s) and how “well” he/she has been able to achieve it on date. This will help students to take charge of their learning and utilizing the feedback they will be able to improve and enhance their learning further during the time left on the course.

In order to achieve the imperatives of sustained growth, technological innovation is increasingly becoming the lever that firms adopt, especially in disruptive business environments. Yet, building an organization to successfully and repeatedly bring innovations to market is a daunting managerial challenge. As organizations get more established, they often lose the innovative edge, finding that their very existence is threatened by their inability to innovate successfully. Leaders with a deep understanding of innovation and change management, which are central to intrapreneurship, can help organizations counteract this tendency. 

Focusing on firm growth in the first part of the course, we will examine why it is so challenging to maintain sustained growth in disruptive environments. Simultaneously, we will examine the nature of disruptive environments, including how industry standards evolve. The second part of the course will take a close look at technological innovation as the lever that can help firms to achieve and maintain sustained growth. Specifically, we will examine four aspects of technological innovation and their impact on organizational growth: exploring, executing, leveraging, and renewing innovation. The course will draw on rigorous theoretical understanding of innovation in disruptive environments and develop a toolbox of strategies and practices managers use to effectively manage innovation and organizational growth when operating under these operating contexts.

Durham   Paul College of Business&Econ > Administration

ADMN 898 (P05) - Top/Predictive Analytics

Credits: 3.0
Term: Spring 2019 - E-term IV (03/18/2019 - 05/09/2019)
Class Size:   30  
CRN: 56642
Special topics; may be repeated. Prereq: consent of adviser and instructor.
Only listed majors in section: ANALYT DS CERT, ANALYTICS, ANALYTICS CERT, ANALYTICS PP, BUSINESS ADM M, BUSINESS ADM OL, BUSINESS ADM PT, BUSINESS ADMIN
Instructors: Tevfik Aktekin
Start Date End Date Days Time Location
3/18/2019 5/9/2019 T 5:40pm - 9:15pm PCBE 215
Additional Course Details: 

This course will introduce modern predictive and learning analytics techniques. The main emphasis will be on the applied aspects of these techniques with programming in the R language (an open source software that has gained tremendous popularity recently). Each lecture is designed to introduce new methods followed by real data applications from various applied fields (marketing, operations, finance, economics, and sports analytics). In introducing these predictive analytics tools, the course will feature discussions on four broadly defined areas of focus: 1) finding the most appropriate model that best represents the data, 2) selecting the optimal set of predictors, 3) reducing the dimension of data and dealing with correlated predictors, 4) improving prediction performance.

Today’s businesses collect and analyze large sets of data in almost every field imaginable. Most of these companies are interested in hiring candidates who are “data” savvy. There are many questions that needs to be answered by these companies, examples include questions like

  • Which set of characteristics help us determine if a customer will purchase a product?
  • Given that a person likes movie X, what are the chances he/she will also like movie Y?
  • What is the likelihood that a stock will go up given its past performance?
  • What are the chances a sports team will win a given game?
  • How do we classify customers into groups?
  • What is probability that a customer will default on their mortgage?

A summary of topics that will be covered in the course is as follows: linear and non-linear regression analysis (ridge, Lasso, K-nearest neighbor, non-linear splines, neural networks), classification methods (logistic regression, linear discriminant analysis, support vector machines), tree based methods (regression/classification trees, bagging, boosting, random forests), unsupervised learning methods (principle components analysis, k-means clustering, hierarchical clustering).   

Upon successful completion of this course, students will be able to 1) identify the most appropriate methodology in analyzing data for both prediction and explanatory purposes, 2) run the relevant models in R, and 3) interpret the outputs.

Durham   Paul College of Business&Econ > Administration

ADMN 902 (03) - MBA Internship

Credits: 3.0
Term: Spring 2019 - E-term III (01/14/2019 - 03/08/2019)
Class Size:   32  
CRN: 51452
Provides students the opportunity to gain business experience in a professional setting, working for one company eight hours per week. Students explore the relationship between theory and practice and complete a research project. Students with less than two years work experience are required to take this course. Cr/F.
Only listed majors in section: BUSINESS ADMIN
Instructors: William Hassey
Start Date End Date Days Time Location
1/14/2019 3/8/2019 Hours Arranged TBA
Durham   Paul College of Business&Econ > Administration

ADMN 905 (05) - Corporate Consulting Project I

Credits: 3.0
Term: Spring 2019 - E-term IV (03/18/2019 - 05/09/2019)
Class Size:   30  
CRN: 54580
Designed to enhance student's field and research experience. Students work with faculty and Corporate Roundtable members on projects that apply and integrate concepts learned in class.
Only listed majors in section: BUSINESS ADMIN
Instructors: Peter Lane, Russell Miles
Start Date End Date Days Time Location
3/18/2019 5/9/2019 MW 8:00am - 10:00am PCBE 215
Durham   Paul College of Business&Econ > Administration

ADMN 905 (06) - Corporate Consulting Project I

Credits: 3.0
Term: Spring 2019 - E-term IV (03/18/2019 - 05/09/2019)
Class Size:   30  
CRN: 56923
Designed to enhance student's field and research experience. Students work with faculty and Corporate Roundtable members on projects that apply and integrate concepts learned in class.
Only listed majors in section: BUSINESS ADMIN
Instructors: Peter Lane, Russell Miles
Start Date End Date Days Time Location
3/18/2019 5/9/2019 MW 8:00am - 10:00am PCBE 215
Durham   Paul College of Business&Econ > Administration

ADMN 912 (3ON) - Managing Yourself & Leading Others

Managing Self & Leading Others

Credits: 3.0
Term: Spring 2019 - E-term III (01/14/2019 - 03/08/2019)
Class Size:   40  
CRN: 55331
Uses the evidence from behavioral science to develop an understanding of individual and work group dynamics in relation to personal and group effectiveness in diverse organizations. Case studies, group projects and personal application will provide students with the opportunity to put theory into practice as they learn to understand individual differences, lead teams, enhance their personal influence, and plan to lead employees, teams and organizations during times of rapid change.
Only listed majors in section: ANALYT DS CERT, ANALYTICS, ANALYTICS CERT, ANALYTICS PP, BUSINESS ADM M, BUSINESS ADM OL, BUSINESS ADM PT, NURSING DOCT PR
Attributes: Online (no campus visits), EUNH
Instructors: Jennifer Griffith
Start Date End Date Days Time Location
1/14/2019 3/8/2019 Hours Arranged ONLINE
Durham   Paul College of Business&Econ > Administration

ADMN 912 (P03) - Managing Yourself & Leading Others

Managing Self & Leading Others

Credits: 3.0
Term: Spring 2019 - E-term III (01/14/2019 - 03/08/2019)
Class Size:   40  
CRN: 56643
Uses the evidence from behavioral science to develop an understanding of individual and work group dynamics in relation to personal and group effectiveness in diverse organizations. Case studies, group projects and personal application will provide students with the opportunity to put theory into practice as they learn to understand individual differences, lead teams, enhance their personal influence, and plan to lead employees, teams and organizations during times of rapid change.
Only listed majors in section: ANALYT DS CERT, ANALYTICS, ANALYTICS CERT, ANALYTICS PP, BUSINESS ADM M, BUSINESS ADM OL, BUSINESS ADM PT, BUSINESS ADMIN
Instructors: Anthony Pescosolido
Start Date End Date Days Time Location
1/14/2019 3/8/2019 M 5:40pm - 9:15pm PCBE 215