Timeroom: Fall 2024

Displaying 981 - 990 of 3217 Results for: Level = All Undergraduate
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
Additional Course Details: 

The textbook for DS774 is Essentials of MIS, 15th edition along with MyLab. We will utilize the My Lab platform, case studies, simulations, and dynamic study modules. The ISBN for the book will be available mid-August. The latest version includes case studies from 2024. We will be given preferential pricing ($74.99)
 

Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 401 (01) - Perspectives in Electrical and Computer Engineering

Perspectives in ECE

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 10585
An introductory course for electrical and computer engineering majors that introduces incoming students to the fundamental concepts of analysis and design. Concepts are presented through an examination of real-world problems. Students are introduced to electrical and computer engineering problem solving and design through active learning techniques in lecture and in a laboratory setting. Provides a context for the electrical engineering and computer engineering curriculum and introduces the profession and activities of electrical and computer engineering. Lab.
Attributes: Inquiry (Discovery)
Instructors: Richard Messner
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MWF 11:10am - 12:00pm KING N101
8/26/2024 12/9/2024 M 3:10pm - 5:00pm KING S216
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 401 (02) - Perspectives in Electrical and Computer Engineering

Perspectives in ECE

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 10602
An introductory course for electrical and computer engineering majors that introduces incoming students to the fundamental concepts of analysis and design. Concepts are presented through an examination of real-world problems. Students are introduced to electrical and computer engineering problem solving and design through active learning techniques in lecture and in a laboratory setting. Provides a context for the electrical engineering and computer engineering curriculum and introduces the profession and activities of electrical and computer engineering. Lab.
Attributes: Inquiry (Discovery)
Instructors: Richard Messner
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MWF 11:10am - 12:00pm KING N101
8/26/2024 12/9/2024 T 3:40pm - 5:30pm KING S216
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 401 (03) - Perspectives in Electrical and Computer Engineering

Perspectives in ECE

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 10603
An introductory course for electrical and computer engineering majors that introduces incoming students to the fundamental concepts of analysis and design. Concepts are presented through an examination of real-world problems. Students are introduced to electrical and computer engineering problem solving and design through active learning techniques in lecture and in a laboratory setting. Provides a context for the electrical engineering and computer engineering curriculum and introduces the profession and activities of electrical and computer engineering. Lab.
Attributes: Inquiry (Discovery)
Instructors: Richard Messner
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MWF 11:10am - 12:00pm KING N101
8/26/2024 12/9/2024 W 3:10pm - 5:00pm KING S216
Durham   Engineering&Physical Sciences :: Electrical&Comp Engineering

ECE 401 (04) - Perspectives in Electrical and Computer Engineering

Perspectives in ECE

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 10604
An introductory course for electrical and computer engineering majors that introduces incoming students to the fundamental concepts of analysis and design. Concepts are presented through an examination of real-world problems. Students are introduced to electrical and computer engineering problem solving and design through active learning techniques in lecture and in a laboratory setting. Provides a context for the electrical engineering and computer engineering curriculum and introduces the profession and activities of electrical and computer engineering. Lab.
Attributes: Inquiry (Discovery)
Instructors: Richard Messner
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MWF 11:10am - 12:00pm KING N101
8/26/2024 12/9/2024 R 3:40pm - 5:30pm KING S216