Timeroom: Spring 2024

Displaying 1 - 10 of 22 Results for: Subject = DS
Durham   Paul College of Business&Econ :: Decision Sciences

DS 620 (01) - Topics in Decision Sciences

Top DS/Global Supply ChainMgmt

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 54751
Special topics, vary by semester.
Section Comments: Top DS/Global Supply Chain Mgmt
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 12 credits.
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Instructors: Russell Miles
Start Date End Date Days Time Location
1/23/2024 5/6/2024 TR 9:40am - 11:00am PCBE G59
Additional Course Details: 

DS620 (01) Global Supply Chain Management is an elective course offered by the Decision Sciences Department at the Peter T. Paul College of Business and Economics.  In this course students will explore various aspects of today’s global supply chains as we cover five integrated learning modules: 

  1. Networks, Technology & People
  2. Supply & Demand Planning
  3. Sourcing & Supplier Management
  4. Operations & Logistics
  5. Margin Optimization & Customer Management

In each module students will explore current events happening in the supply chain space, apply quantitative analysis tools, gain insights from guest speakers,  work on case studies, and research supply chain issues.  Throughout the course we will view supply chains from a global / international perspective as we develop sustainable supply chain strategies.

Durham   Paul College of Business&Econ :: Decision Sciences

DS 650 (01) - The Mel Rines Student Angel Investment Fund

Rines Angel Fund

Credits: 2.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   32  
CRN: 52735
The Mel Rines Student Angel Investment Fund is a cross-disciplinary, undergraduate, student-managed private equity fund. The Fund allows students to learn angel and venture capital investment strategies through the first-hand experience of investing in start-up companies. Students evaluate entrepreneur pitches, conduct due diligence on potential investments, work with angel partners, and present to an investment committee their recommendations to invest capital. Students interested in joining the Fund must submit an application and undergo an interview process. Students in good standing may retake the course.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 12 credits.
Only listed campus in section: Durham
Instructors: Lisa Keslar
Start Date End Date Days Time Location
1/23/2024 5/6/2024 TR 11:10am - 12:30pm PCBE G25
Durham   Paul College of Business&Econ :: Decision Sciences

DS 662 (01) - Programming for Business

Programming for Business

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 53437
Introduces students to programming concepts. Covers fundamentals including functions, variable types, conditionals, and data structures. Students apply these concepts to a variety of business analytics problems including data collection, wrangling, reshaping, summarizing , and visualization.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): ADMN 410 with minimum grade of C-
Equivalent(s): DS 562
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Instructors: Maryann Clark
Start Date End Date Days Time Location
1/23/2024 5/6/2024 TR 2:10pm - 3:30pm PCBE 215
Additional Course Details: 

This hands-on course empowers you with essential programming skills needed in today's tech-driven business world. Through interactive coding activities, you'll learn to use the Python programming language to extract, analyze, and visualize data to generate business insights. No coding experience required. You'll gain confidence with core programming concepts through collaborative practice. Join us to learn essential Python coding skills you'll rely on throughout your career.

 
Durham   Paul College of Business&Econ :: Decision Sciences

DS 671 (01) - Data Visualization and Prescriptive Analytics

Data Viz & Prescript Analytics

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 53460
The course focuses on Descriptive and Prescriptive Analytics. Students gain modeling and data analysis and visualization skills necessary to address a wide variety of business problems. In Descriptive Analytics, students learn principles of data visualization, data cleanup and wrangling, advanced data analysis and visualization tools, and dashboard design. In Prescriptive Analytics, students learn advanced spreadsheet modeling/programming, formulating and solving a variety of optimization problems, and performing sensitivity analysis.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): ADMN 410 with minimum grade of C- and ADMN 510 with minimum grade of C-
Equivalent(s): DS 766
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Instructors: Roger Grinde
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MW 2:10pm - 3:30pm PCBE G59
Durham   Paul College of Business&Econ :: Decision Sciences

DS 673 (01) - Database Management

Database Management

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 53459
Provides students with the skills necessary to understand the database environment of the firm. Topics include data models, normalization, SQL, data warehouses, and nosQL databases. Students learn to design and implement moderately complex relational databases in multi-user, client/server environments.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): ADMN 410 with minimum grade of C-
Equivalent(s): DS 773
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Instructors: Nagaraj Bukkapatnam
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MW 11:10am - 12:30pm PCBE G59
Durham   Paul College of Business&Econ :: Decision Sciences

DS 772 (01) - Predictive Analytics and Modeling

Predictive Analytics&Modeling

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 56188
The course introduces students to commonly used predictive analytics methods and necessary programming with a focus on regression analysis, classification, and model building. The course coverage is supported using real data applications and illustrations. The topics include linear and non-linear regression model building/selection, residual analysis, search algorithms, generalized linear models/classification, and applied machine learning methods for business use.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): ADMN 510
Cross listed with : DS 898.01
Only listed campus in section: Durham
Only listed colleges in section: Paul College of Business&Econ
Only listed classes in section: Junior, Senior
Start Date End Date Days Time Location
1/23/2024 5/6/2024 T 5:10pm - 8:00pm PCBE 185
Durham   Paul College of Business&Econ :: Decision Sciences

DS 775 (01) - Corporate Project Experience

Corporate Project Experience

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 50731
Provides real-life experience in organizations. Work in groups on information systems and/or business analytics projects identified by sponsoring organizations. Integrate concepts and skills learned in prior business, analytics, and information systems courses. Learn project management concepts, work with project management tools, and use presentation techniques. Two ISBA Electives required prior to taking this course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DS 673 with minimum grade of C-
Only listed campus in section: Durham
Only listed classes in section: Senior
Only listed majors in section: BUSADM:INFSYSAN
Attributes: Writing Intensive Course
Instructors: Nagaraj Bukkapatnam
Start Date End Date Days Time Location
1/23/2024 5/6/2024 F 9:10am - 12:00pm PCBE 215
Durham   Paul College of Business&Econ :: Decision Sciences

DS 775 (02) - Corporate Project Experience

Corporate Project Experience

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 51831
Provides real-life experience in organizations. Work in groups on information systems and/or business analytics projects identified by sponsoring organizations. Integrate concepts and skills learned in prior business, analytics, and information systems courses. Learn project management concepts, work with project management tools, and use presentation techniques. Two ISBA Electives required prior to taking this course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DS 673 with minimum grade of C-
Only listed campus in section: Durham
Only listed classes in section: Senior
Only listed majors in section: BUSADM:INFSYSAN
Attributes: Writing Intensive Course
Instructors: Peter Zaimes
Start Date End Date Days Time Location
1/23/2024 5/6/2024 F 9:10am - 12:00pm PCBE G59
Durham   Paul College of Business&Econ :: Decision Sciences

DS 775 (03) - Corporate Project Experience

Corporate Project Experience

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 52057
Provides real-life experience in organizations. Work in groups on information systems and/or business analytics projects identified by sponsoring organizations. Integrate concepts and skills learned in prior business, analytics, and information systems courses. Learn project management concepts, work with project management tools, and use presentation techniques. Two ISBA Electives required prior to taking this course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DS 673 with minimum grade of C-
Only listed campus in section: Durham
Only listed classes in section: Senior
Only listed majors in section: BUSADM:INFSYSAN
Attributes: Writing Intensive Course
Instructors: Peter Zaimes
Start Date End Date Days Time Location
1/23/2024 5/6/2024 F 9:10am - 12:00pm PCBE G85
Durham   Paul College of Business&Econ :: Decision Sciences

DS 805 (01) - Statistical Learning

Statistical Learning

Credits: 3.0
Term: Spring 2024 - Term 3 (01/23/2024 - 03/15/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 53431
This course introduces students to statistical tools for modeling and identifying patterns in complex data sets. The goal of statistical learning is to develop predictions informed by data. Topics to be covered include Gaussian linear models, cross-validation techniques, penalized regression methods such as ridge and LASSO, nonlinear models, logistic regression, tree-based models including random forests, bagging, and boosting, and support vector machines. Application areas include Marketing (e.g., effectiveness of advertising and customer satisfaction), Financial Economics (valuation), and Operations Management (resource allocation). The course delivery will be a mix of lectures, readings/podcasts with discussion, and hands-on data analyses.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DS 803
Instructors: Burcu Eke Rubini
Start Date End Date Days Time Location
1/23/2024 3/15/2024 R 2:10pm - 5:30pm PBLANE 216