Timeroom: Fall 2024

Displaying 1 - 10 of 14 Results for: Subject = DS
Durham   Paul College of Business&Econ :: Decision Sciences

DS 444 (H02) - Meaning of Entrepreneurship

Hon/ Meaning Entrepreneurship

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 16419
This course explores the idea and ideals of entrepreneurship, the creating of value through individual initiative, creativity and innovation. The idea of entrepreneurship is of significant relevance in the highly dynamic and competitive 21st century global economy. It is an idea that is important for students to understand and to critically consider and apply. Encourages the development of multiple views of entrepreneurship, and uses a broad, not just business, approach to the study as it engages students in the subject matter. Open to all majors.
Only the following students: Honors College Admit, Honors Program
Attributes: Writing Intensive Course, Inquiry (Discovery), Honors course, Environment,Tech&Society(Disc)
Instructors: Jeffrey Sohl
Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 3:40pm - 5:00pm PCBE 205
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: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   35  
CRN: 12429
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.
Instructors: Jeffrey Sohl
Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 12:40pm - 2:00pm PCBE G25
Durham   Paul College of Business&Econ :: Decision Sciences

DS 662 (01) - Programming for Business

Programming for Business

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 12969
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.
Prerequisite(s): ADMN 410 with minimum grade of C-
Equivalent(s): DS 562
Only listed colleges in section: Paul College of Business&Econ
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Maryann Clark
Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 2:10pm - 3:30pm PCBE G59
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: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 12965
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.
Prerequisite(s): ADMN 410 with minimum grade of C- and ADMN 510 with minimum grade of C-
Equivalent(s): DS 766
Mutual Exclusion : SC 671
Classes not allowed in section: Freshman
Instructors: Roger Grinde
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MW 2:10pm - 3:30pm PCBE 235
Durham   Paul College of Business&Econ :: Decision Sciences

DS 673 (01) - Database Management

Database Management

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 12967
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.
Prerequisite(s): ADMN 410 with minimum grade of C-
Equivalent(s): DS 773
Classes not allowed in section: Freshman
Instructors: Ermira Zifla
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MW 11:10am - 12:30pm PCBE 235
Durham   Paul College of Business&Econ :: Decision Sciences

DS 741 (01) - Private Equity/Venture Capital

Private Equity/Venture Capital

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 10712
The focus is private equity in the context of financing innovation especially from the investor?s perspective. This course covers screening entrepreneurial ideas and business plans through the spectrum of entrepreneurial financing stages from seed, start-up, later-stage financing, to acquisition/buyouts and IPOs. Students will research, discuss and present state-of-the-art analyses and practices and have exclusive access to PitchBook database that provides users intelligence on the private markets, angels, venture capital, mergers & acquisitions, and private companies.
Prerequisite(s): ADMN 570 with minimum grade of C-
Classes not allowed in section: Sophomore
Only listed majors in section: BUSADM:ES
Instructors: Lisa Keslar
Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 11:10am - 12:30pm PCBE 175
Durham   Paul College of Business&Econ :: Decision Sciences

DS 742 (01) - Internship in Entrepreneurial and Management Practice

Internshp Entreprenr &Mgt Prac

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 10828
Involves working for leading companies and dynamic entrepreneurs, as well as classroom instruction. The priority experiential, real-world, and real-time learning in the high-growth environment of entrepreneurial ventures. Focus on several topic areas, including venture capital.
Section Comments: See Laura Hill in Room 236 to get permission for this course.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:ES
Instructors: Lisa Keslar
Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 3:40pm - 5:00pm PCBE 135
Durham   Paul College of Business&Econ :: Decision Sciences

DS 774 (01) - E-Business

E-Business

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 10711
This course immerses students in the intersecting realms of technology and business. Students will explore key domains such as Artificial Intelligence, Cybersecurity, Global e-Business, Application Design, and Enterprise Systems, engaging in a hands-on, collaborative curriculum. Students will develop a strategic perspective on using IT innovations to drive business value, tackle real-world challenges, and build in-demand skills for dynamic technology careers.
Prerequisite(s): ADMN 410 with minimum grade of C-
Cross listed with : DS 898.01
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Daniel Silverman
Start Date End Date Days Time Location
8/26/2024 12/9/2024 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 2024 - Term 1 (08/26/2024 - 10/18/2024)
Grade Mode: Letter Grading
Class Size:   32  
CRN: 13901
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).
Only listed majors in section: BUSINESS ANLYT
Instructors: Jing Wang
Start Date End Date Days Time Location
8/26/2024 10/18/2024 M 8:10am - 11:30am PCBE G45
Durham   Paul College of Business&Econ :: Decision Sciences

DS 802 (03) - 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: 15652
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
8/26/2024 10/18/2024 F 8:10am - 11:30am PBLANE 216