Timeroom: Fall 2021

Displaying 1271 - 1280 of 4379 Results for: %20Attributes%5B0%5D = EUNH

DPP 981 (1ON) - Project Design and Planning

Project Design and Planning

Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 11914
Studies how project plan inputs are accurately gathered, integrated, documented and managed; the tools and techniques used in project management; and the outputs of a project plan to viable stakeholders. Considers the development of project scope, work breakdown structures, and the importance of quality, risk, and contingency management in planning development projects. Prereq: DPP 980.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: COM DEV PLC PRT, DEV PLICY PRCT
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
10/18/2021 12/14/2021 Hours Arranged ONLINE
Durham   Paul College of Business&Econ :: Decision Sciences

DS 444 (H01) - Meaning of Entrepreneurship

Hon/Meaning of Entrepreneurshp

Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 14118
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. (Also offered as MGT 444.) Writing intensive.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): MGT 444
Only listed campus in section: Durham
Only the following students: Honors Program
Attributes: Writing Intensive Course, Inquiry (Discovery), Honors course, Environment,Tech&Society(Disc)
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 TR 9:40am - 11:00am PCBE 135
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 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 13965
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 projects on potential investments, and work with angel partners. An officer corps is responsible for structuring and coordinating the class. Students in good standing may retake the course. Prereq: permission.
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: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 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 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15331
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.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): DS 562
Only listed campus in section: Durham
Only listed colleges in section: Paul College of Business&Econ
Classes not allowed in section: Freshman, Sophomore
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MW 8:10am - 9:30am PCBE 125
Durham   Paul College of Business&Econ :: Decision Sciences

DS 662 (02) - Programming for Business

Programming for Business

Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15332
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.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): DS 562
Only listed campus in section: Durham
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 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 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15327
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.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): DS 766
Only listed campus in section: Durham
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MW 11:10am - 12:30pm PCBE G25
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 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15328
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.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): DS 766
Only listed campus in section: Durham
Classes not allowed in section: Freshman, Sophomore
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MW 12:40pm - 2:00pm PCBE G25
Durham   Paul College of Business&Econ :: Decision Sciences

DS 673 (01) - Database Management

Database Management

Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15329
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.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): DS 773
Only listed campus in section: Durham
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MW 12:40pm - 2:00pm PBLANE 216
Durham   Paul College of Business&Econ :: Decision Sciences

DS 673 (02) - Database Management

Database Management

Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 15330
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.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): DS 773
Only listed campus in section: Durham
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:INFSYSAN
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MW 2:10pm - 3:30pm PBLANE 216
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 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 16711
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
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 8 credits.
Only listed campus in section: Durham
Classes not allowed in section: Freshman
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 W 5:10pm - 8:00pm PCBE 235
Additional Course Details: 

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.