Timeroom: Fall 2023

Displaying 11 - 20 of 21 Results for: Subject = DS
Durham   Paul College of Business&Econ :: Decision Sciences

DS 774 (01) - E-Business

E-Business

Credits: 4.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   27  
CRN: 10804
Covers the concepts, tools, and strategies for understanding the challenges and exploiting the opportunities associated with e-commerce/e-business. Students gain a comprehensive understanding of online payment systems, cyber security, e-commerce marketing and advertising, web development, and web and social media analytics. DS 562 or CS 405 is strongly recommended prior to taking this course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): ADMN 410 with minimum grade of C-
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Daniel Silverman
Start Date End Date Days Time Location
8/28/2023 12/11/2023 T 5:10pm - 8:00pm PCBE 235
Durham   Paul College of Business&Econ :: Decision Sciences

DS 801 (02) - Business Intelligence

Business Intelligence

Credits: 3.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 15130
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).
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: BUSINESS ANLYT
Instructors: Jing Wang
Start Date End Date Days Time Location
8/28/2023 10/20/2023 R 5:40pm - 9:15pm PCBE 115
Durham   Paul College of Business&Econ :: Decision Sciences

DS 801 (03) - Business Intelligence

Business Intelligence

Credits: 3.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 17034
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
8/28/2023 10/20/2023 T 5:40pm - 9:15pm PCBE 215
Durham   Paul College of Business&Econ :: Decision Sciences

DS 802 (02) - Probability and Simulation

Probability and Simulation

Credits: 3.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 15131
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: BUSINESS ANLYT
Instructors: Tevfik Aktekin
Start Date End Date Days Time Location
8/28/2023 10/20/2023 M 8:10am - 12:30pm PBLANE 216
Durham   Paul College of Business&Econ :: Decision Sciences

DS 802 (03) - Probability and Simulation

Probability and Simulation

Credits: 3.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 17035
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.
Instructors: Tevfik Aktekin
Start Date End Date Days Time Location
8/28/2023 10/20/2023 F 8:10am - 12:30pm PCBE 115
Durham   Paul College of Business&Econ :: Decision Sciences

DS 803 (02) - Fundamentals of Statistical Analysis

Fundamentals of Statistical

Credits: 3.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 15132
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DS 802
Only listed majors in section: BUSINESS ANLYT
Instructors: Burcu Eke Rubini
Start Date End Date Days Time Location
10/30/2023 12/22/2023 M 8:10am - 12:30pm PBLANE 216
Durham   Paul College of Business&Econ :: Decision Sciences

DS 803 (03) - Fundamentals of Statistical Analysis

Fundamentals of Statistical

Credits: 3.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 17036
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DS 802
Instructors: Burcu Eke Rubini
Start Date End Date Days Time Location
10/30/2023 12/22/2023 W 2:10pm - 5:30pm PCBE G75
Durham   Paul College of Business&Econ :: Decision Sciences

DS 804 (02) - Exploration and Communication of Data

Communication of Data

Credits: 3.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 15133
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: BUSINESS ANLYT
Instructors: Kholekile Gwebu
Start Date End Date Days Time Location
10/30/2023 12/22/2023 R 5:40pm - 9:15pm PCBE 225
Durham   Paul College of Business&Econ :: Decision Sciences

DS 804 (03) - Exploration and Communication of Data

Communication of Data

Credits: 3.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 17037
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Kholekile Gwebu
Start Date End Date Days Time Location
10/30/2023 12/22/2023 T 5:40pm - 9:00pm PCBE G59
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 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 16663
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: BUSINESS ANLYT
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: Cristi Guevara
Start Date End Date Days Time Location
10/30/2023 12/22/2023 W 5:40pm - 9:15pm ONLINE