Timeroom: Fall 2022

Displaying 1 - 10 of 18 Results for: Subject = DS
Durham   Paul College of Business&Econ :: Decision Sciences

DS 444 (H01) - Meaning of Entrepreneurship

Hon/Meaning of Entrepreneurshp

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 13589
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 Program
Attributes: Writing Intensive Course, Inquiry (Discovery), Honors course, Environment,Tech&Society(Disc)
Instructors: Jeffrey Sohl
Start Date End Date Days Time Location
8/29/2022 12/12/2022 TR 9:40am - 11:00am 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 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 13479
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.
You must sign up in the Dept Office before registering through WEBCAT.
Repeat Rule: May be repeated for a maximum of 12 credits.
Instructors: Jeffrey Sohl
Start Date End Date Days Time Location
8/29/2022 12/12/2022 TR 2:10pm - 3:30pm PCBE 225
Durham   Paul College of Business&Econ :: Decision Sciences

DS 662 (01) - Programming for Business

Programming for Business

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14412
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 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
8/29/2022 12/12/2022 MW 9:40am - 11:00am PCBE 225
Durham   Paul College of Business&Econ :: Decision Sciences

DS 662 (02) - Programming for Business

Programming for Business

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14413
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
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Maryann Clark
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MW 11:10am - 12:30pm PCBE 225
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 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14408
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
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Roger Grinde
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MW 2:10pm - 3:30pm PCBE 165
Durham   Paul College of Business&Econ :: Decision Sciences

DS 671 (02) - Data Visualization and Prescriptive Analytics

Data Viz & Prescript Analytics

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14409
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
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Roger Grinde
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MW 3:40pm - 5:00pm PCBE 165
Durham   Paul College of Business&Econ :: Decision Sciences

DS 673 (01) - Database Management

Database Management

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14410
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
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Ermira Zifla
Start Date End Date Days Time Location
8/29/2022 12/12/2022 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: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 14411
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
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: Ermira Zifla
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MW 12:40pm - 2:00pm PCBE G59
Durham   Paul College of Business&Econ :: Decision Sciences

DS 720 (01) - Topics in Decision Sciences II

Top/Predic Analyt:Regres Model

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   27  
CRN: 15394
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: Predictive Analytics: Regression Modelling
Repeat Rule: May be repeated for a maximum of 8 credits.
Classes not allowed in section: Freshman
Start Date End Date Days Time Location
8/29/2022 12/12/2022 W 5:10pm - 8:00pm 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 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 10911
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. Prereq: ADMN 570 and senior standing.
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:ES
Instructors: Jeffrey Sohl
Start Date End Date Days Time Location
8/29/2022 12/12/2022 TR 11:10am - 12:30pm PCBE 215