Timeroom: Spring 2023

Displaying 1 - 10 of 19 Results for: Subject = DS
Durham   Paul College of Business&Econ :: Decision Sciences

DS 520 (01) - Topics in Decision Sciences

Top/Realizing the Entr Dream

Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 55273
Special topics, vary by semester.
Section Comments: Topic: Realizing the Entrepreneurial Dream.
Repeat Rule: May be repeated for a maximum of 8 credits.
Majors not allowed in section: BUSADM:ACCT, BUSADM:ES, BUSADM:FINANCE, BUSADM:INFSYSAN, BUSADM:INTL, BUSADM:MGT, BUSADM:MKT, BUSINESS ADMIN, UNDECLARED PAUL
Instructors: Charles Gaudet
Start Date End Date Days Time Location
1/24/2023 5/8/2023 MW 3:40pm - 5:00pm PCBE 165
Durham   Paul College of Business&Econ :: Decision Sciences

DS 620 (01) - Topics in Decision Sciences

Topics/Supply Chain Management

Credits: 1.0 to 4.0
Term: Spring 2023 - E-term III (01/17/2023 - 03/10/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 56325
Special topics, vary by semester.
Repeat Rule: May be repeated for a maximum of 12 credits.
Only listed colleges in section: Paul College of Business&Econ
Only listed classes in section: Junior, Senior
Instructors: Russell Miles
Start Date End Date Days Time Location
1/17/2023 3/10/2023 TR 9:40am - 11:00am NESM 326
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 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 53219
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: Jeffrey Sohl
Start Date End Date Days Time Location
1/24/2023 5/8/2023 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 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 54105
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. Prereq: ADMN 410.
Equivalent(s): DS 562
Only listed campus in section: Durham
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Maryann Clark
Start Date End Date Days Time Location
1/24/2023 5/8/2023 TR 2:10pm - 3:30pm PCBE 125
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 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 54141
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. Prereq: ADMN 410, ADMN 420.
Equivalent(s): DS 766
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Alison Chen
Start Date End Date Days Time Location
1/24/2023 5/8/2023 TR 11:10am - 12:30pm PBLANE 216
Durham   Paul College of Business&Econ :: Decision Sciences

DS 673 (01) - Database Management

Database Management

Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 54140
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. Prereq: ADMN 410.
Equivalent(s): DS 773
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Jing Wang
Start Date End Date Days Time Location
1/24/2023 5/8/2023 MW 11:10am - 12:30pm PCBE G59
Durham   Paul College of Business&Econ :: Decision Sciences

DS 673 (02) - Database Management

Database Management

Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 54176
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. Prereq: ADMN 410.
Equivalent(s): DS 773
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Instructors: Jing Wang
Start Date End Date Days Time Location
1/24/2023 5/8/2023 MW 12:40pm - 2:00pm PCBE G59
Durham   Paul College of Business&Econ :: Decision Sciences

DS 720 (01) - Topics in Decision Sciences II

Top/Pred Analy: Regress Model

Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 55227
Introduces students to commonly used predictive analytics techniques and necessary programming with focus on regression analysis and model building. The course coverage is supported with 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 clustering algorithms.
Section Comments: Full Title: Top/Predictive Analytics: Regression Model
Repeat Rule: May be repeated for a maximum of 8 credits.
Start Date End Date Days Time Location
1/24/2023 5/8/2023 M 5:10pm - 8:00pm HS 201
Durham   Paul College of Business&Econ :: Decision Sciences

DS 774 (01) - E-Business

E-Business

Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 52859
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. Prereq: ADMN 410 and junior standing. DS 562 or CS 405 is strongly recommended.
Only listed campus in section: Durham
Only listed classes in section: Junior, Senior
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Inchan Kim
Start Date End Date Days Time Location
1/24/2023 5/8/2023 T 5:10pm - 8:00pm PCBE 235
Durham   Paul College of Business&Econ :: Decision Sciences

DS 775 (01) - Corporate Project Experience

Corporate Project Experience

Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 50794
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. Prereq: DS 673 and 2 ISBA Electives.
Only listed campus in section: Durham
Only listed classes in section: Senior
Only listed majors in section: BUSADM:INFSYSAN
Attributes: Writing Intensive Course
Start Date End Date Days Time Location
1/24/2023 5/8/2023 F 9:10am - 12:00pm PCBE 215