Timeroom: Fall 2024

Displaying 271 - 280 of 1327 Results for: Level = All Graduate

DPP 908 (01) - Policy Seminar

Policy Seminar

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15330
This seminar will reinforce the multidisciplinary breadth and trans-disciplinary perspective of the master's program, providing students with the opportunity to sharpen critical policy analysis skills. The goal of the course is to help students understand the sources of public policy, that is, why we have various public policies and how to produce professional policy analysis.
Only listed majors in section: COM DEV PLC PRT, COM DEV PLC PRT, GLB CON HMN SEC, PUBLIC ADMIN, PUBLIC ADMIN EX
Instructors: Sanjeev Sharma
Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE

DPP 980 (01) - Introduction to Community Development Projects

Project Design

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 13411
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, COM DEV PLC PRT, DEV PLICY PRCT, GLB CON HMN SEC, PUBLIC ADMIN, PUBLIC ADMIN EX
Instructors: Jolan Rivera, Sanjeev Sharma
Start Date End Date Days Time Location
8/26/2024 10/18/2024 Hours Arranged ONLINE

DPP 981 (01) - Project Design and Planning

Project Design and Planning

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 11317
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 with minimum grade of B-
Only listed majors in section: COM DEV PLC PRT, COM DEV PLC PRT, DEV PLICY PRCT, GLB CON HMN SEC, PUBLIC ADMIN, PUBLIC ADMIN EX
Instructors: Jolan Rivera, Sanjeev Sharma
Start Date End Date Days Time Location
10/28/2024 12/20/2024 Hours Arranged ONLINE
Durham   Paul College of Business&Econ :: Decision Sciences

DS 801 (03) - Business Intelligence

Business Intelligence

Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   32  
CRN: 15651
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).
Instructors: Jing Wang
Start Date End Date Days Time Location
8/26/2024 10/18/2024 M 2:10pm - 5:30pm PCBE G45
Durham   Paul College of Business&Econ :: Decision Sciences

DS 802 (02) - Probability and Simulation

Probability and Simulation

Credits: 3.0
Term: Fall 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 13902
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 majors in section: BUSINESS ANLYT
Instructors: Tevfik Aktekin
Start Date End Date Days Time Location
8/26/2024 10/18/2024 M 8:10am - 11:30am PBLANE 216
Durham   Paul College of Business&Econ :: Decision Sciences

DS 803 (02) - Fundamentals of Statistical Analysis

Fundamentals of Statistical

Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 13903
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.
Prerequisite(s): DS 802 with minimum grade of B-
Only listed majors in section: BUSINESS ANLYT
Instructors: Burcu Eke Rubini
Start Date End Date Days Time Location
10/28/2024 12/20/2024 W 8:10am - 11:30am PBLANE 216
Durham   Paul College of Business&Econ :: Decision Sciences

DS 804 (03) - Exploration and Communication of Data

Communication of Data

Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 15654
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.
Instructors: Kholekile Gwebu
Start Date End Date Days Time Location
10/28/2024 12/20/2024 M 2:10pm - 5:30pm PBLANE 216
Durham   Paul College of Business&Econ :: Decision Sciences

DS 815 (01) - Programming for Business Analytics

Prog for Bus Analytics

Online Course Delivery Method: Online Synchronous
Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15297
This course introduces students to business programming. The course covers the Python programming language and students learn to collect, wrangle and manipulate data. Students also gain hands-on experience generating and presenting meaningful visualizations of quantitative and qualitative data to aid peer/managerial decision-making.
Only listed majors in section: BUSINESS ANLYT
Instructors: Kholekile Gwebu
Start Date End Date Days Time Location
10/28/2024 12/20/2024 W 5:40pm - 9:15pm ONLINE
Durham   Paul College of Business&Econ :: Decision Sciences

DS 898 (01) - Topics in Business Analytics

Topics in Business Analytics

Credits: 3.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 13446
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.
Cross listed with : DS 774.01
Instructors: Daniel Silverman
Start Date End Date Days Time Location
8/26/2024 12/9/2024 T 5:10pm - 8:00pm PCBE 235
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 814 (01) - Introduction to Digital Signal Processing

Intro Digital Signal Process

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 10583
Introduction to digital signal processing theory and practice, including coverage of discrete time signals and systems, frequency domain transforms and practical spectral analysis, digital filter terminology and design, and sampling and reconstruction of continuous time signals. Laboratory component providing an introduction to DSP design tools and algorithm implementation. Lab.
Cross listed with : ECE 714.01
Instructors: Wayne Smith
Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 2:10pm - 3:30pm MURK 102
8/26/2024 12/9/2024 R 3:40pm - 6:00pm KING S324