Timeroom: Spring 2024

Durham Engineering&Physical Sciences :: Computer Science

CS 799 (10) - Thesis

Thesis

Credits: 1.0 to 5.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 2
CRN: 57198

Students work under the direction of a faculty sponsor to plan and carry out independent research resulting in a written thesis. Required for honors-in-major. Additional CS 600-level course required. Minimum GPA should be 3.4 or higher.

Instructor Approval Required. Contact Instructor for permission then register through Webcat.

Prerequisite(s): CS 520 with minimum grade of C- and CS 619

Repeat Rule: May be repeated for a maximum of 8 credits.

Attributes: Writing Intensive Course

Instructors: Radim Bartos

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024		Hours Arranged	TBA

CPS Online Coll of Professional Studies :: Data Analytics

DAT 510 (01) - Introduction to Data Analytics

Intro Data Analytics

Online Course Delivery Method: Online Asynchronous

Credits: 4.0
Term: Spring 2024 - Term 3 (01/23/2024 - 03/15/2024)
Grade Mode: Letter Grading

Class Size: 30
CRN: 55601

Data analytics is defined as a scientific process that produces actionable insights. Students will be introduced to the concepts of data analysis, what the role of a data analyst will do, and the tools that are used to perform daily functions. This course will cover data analytics and data governance where students will learn about the fundamentals of data gathering, data mining, and how the decision-making process can be affected. This course also addresses the skills that are required to effectively communicate data to co-workers, leadership, and stakeholders. Excel proficiency is expected prior to enrollment in this course. Students should consider completing CMPL 402 Excel if they have not completed an Excel course in transfer.

Advisor Approval Required. Contact your Academic Advisor for approval and registration.

Equivalent(s): DATA 510G

Campuses not allowed in section: Durham

Attributes: Online (no campus visits), EUNH

Instructors: Anthony Sulpizio

Start Date	End Date	Days	Time	Location
1/23/2024	3/15/2024		Hours Arranged	ONLINE

Click to see: Booklist

CPS Online Coll of Professional Studies :: Data Analytics

DAT 535 (01) - Data Mining, Cleaning, and Visualization

Data Mining/Clean/Visualiz

Online Course Delivery Method: Online Asynchronous

Credits: 4.0
Term: Spring 2024 - Term 4 (03/25/2024 - 05/17/2024)
Grade Mode: Letter Grading

Class Size: 30
CRN: 55602

This course will cover data mining, cleaning, and visualization preparation, including what data mining is and how it pertains to data analytics. Data cleaning and preparation for data analysis will also be covered. Students will have the opportunity to learn about data visualizations, which includes data modeling, mapping data attributes to graphical attributes, and using data visualization tools.

Advisor Approval Required. Contact your Academic Advisor for approval and registration.

Prerequisite(s): DAT 510 or DATA 510G

Equivalent(s): DATA 520G

Campuses not allowed in section: Durham

Attributes: Online (no campus visits), EUNH

Instructors: Anthony Sulpizio

Start Date	End Date	Days	Time	Location
3/25/2024	5/17/2024		Hours Arranged	ONLINE

Click to see: Booklist

CPS Online Coll of Professional Studies :: Data Analytics

DAT 610 (01) - Data Analytics and Technologies

Data Analytics and Tech

Online Course Delivery Method: Online Asynchronous

Credits: 4.0
Term: Spring 2024 - Term 3 (01/23/2024 - 03/15/2024)
Grade Mode: Letter Grading

Class Size: 30
CRN: 55603

Students will have the opportunity to explore contemporary systems and technologies impacting the field of data analytics, including the cloud, AI, and machine learning. This course will also explore areas of technology that provide opportunities for future professional specialization, such as emerging Big Data technologies that support the work of data analysts, and the role of Information Technology (IT).

Advisor Approval Required. Contact your Academic Advisor for approval and registration.

Prerequisite(s): DAT 535 or DATA 520G

Equivalent(s): DATA 610G

Campuses not allowed in section: Durham

Attributes: Online (no campus visits), EUNH

Instructors: Anthony Sulpizio

Start Date	End Date	Days	Time	Location
1/23/2024	3/15/2024		Hours Arranged	ONLINE

Click to see: Booklist

Durham Paul College of Business&Econ :: Decision Sciences

DS 620 (01) - Topics in Decision Sciences

Top DS/Global Supply ChainMgmt

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 30
CRN: 54751

Special topics, vary by semester.

Section Comments: Top DS/Global Supply Chain Mgmt

Registration Approval Required. Contact Instructor or 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

Only listed classes in section: Junior, Senior

Instructors: Russell Miles

	Start Date	End Date	Days	Time	Location
	1/23/2024	5/6/2024	TR	9:40am - 11:00am	PCBE G59
Final Exam	5/14/2024	5/14/2024	T	8:00am - 10:00am	PCBE G59

Additional Course Details:

DS620 (01) Global Supply Chain Management is an elective course offered by the Decision Sciences Department at the Peter T. Paul College of Business and Economics. In this course students will explore various aspects of today’s global supply chains as we cover five integrated learning modules:

Networks, Technology & People
Supply & Demand Planning
Sourcing & Supplier Management
Operations & Logistics
Margin Optimization & Customer Management

In each module students will explore current events happening in the supply chain space, apply quantitative analysis tools, gain insights from guest speakers, work on case studies, and research supply chain issues. Throughout the course we will view supply chains from a global / international perspective as we develop sustainable supply chain strategies.

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 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 32
CRN: 52735

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: Lisa Keslar

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	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 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 30
CRN: 53437

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.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Prerequisite(s): ADMN 410 with minimum grade of C-

Equivalent(s): DS 562

Only listed campus in section: Durham

Only listed classes in section: Junior, Senior

Instructors: Maryann Clark

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	TR	2:10pm - 3:30pm	PCBE 215

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.

Click to see: Syllabus

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 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 12
CRN: 53460

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.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Prerequisite(s): ADMN 410 with minimum grade of C- and ADMN 510 with minimum grade of C-

Equivalent(s): DS 766

Only listed campus in section: Durham

Only listed classes in section: Junior, Senior

Instructors: Roger Grinde

	Start Date	End Date	Days	Time	Location
	1/23/2024	5/6/2024	MW	2:10pm - 3:30pm	PCBE G59
Final Exam	5/10/2024	5/10/2024	F	1:00pm - 3:00pm	PCBE G59

Click to see: Booklist

Durham Paul College of Business&Econ :: Decision Sciences

DS 673 (01) - Database Management

Database Management

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 30
CRN: 53459

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.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Prerequisite(s): ADMN 410 with minimum grade of C-

Equivalent(s): DS 773

Only listed campus in section: Durham

Only listed classes in section: Junior, Senior

Instructors: Nagaraj Bukkapatnam

	Start Date	End Date	Days	Time	Location
	1/23/2024	5/6/2024	MW	11:10am - 12:30pm	PCBE G59
Final Exam	5/10/2024	5/10/2024	F	10:30am - 12:30pm	PCBE G59

Click to see: Booklist

Durham Paul College of Business&Econ :: Decision Sciences

DS 772 (01) - Predictive Analytics and Modeling

Predictive Analytics&Modeling

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 30
CRN: 56188

The course introduces students to commonly used predictive analytics methods and necessary programming with a focus on regression analysis, classification, and model building. The course coverage is supported using 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 applied machine learning methods for business use.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Prerequisite(s): ADMN 510

Cross listed with : DS 898.01

Only listed campus in section: Durham

Only listed colleges in section: Paul College of Business&Econ

Only listed classes in section: Junior, Senior

Instructors: Gorkem Turgut (G.T.) Ozer

	Start Date	End Date	Days	Time	Location
	1/23/2024	5/6/2024	T	5:10pm - 8:00pm	PCBE 185
Final Exam	5/14/2024	5/14/2024	T	6:00pm - 8:00pm	PCBE 185