Timeroom: Fall 2023

Durham Engineering&Physical Sciences :: Computer Science

CS 998 (01) - Independent Study

Independent Study

Credits: 1.0 to 6.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading

CRN: 10499

Independent Study.

Section above not available for web registration; Check with dept for details.

Instructors: STAFF

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023		Hours Arranged	TBA

Durham Engineering&Physical Sciences :: Computer Science

CS 999 (01) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2023 - Full Term - Grad Thesis (08/28/2023 - 12/11/2023)
Grade Mode: Graduate Credit/Fail grading

CRN: 15158

Doctoral Research.

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

Instructors: STAFF

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023		Hours Arranged	TBA

Durham Engineering&Physical Sciences :: Computer Science

CS 999 (17) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2023 - Full Term - Grad Thesis (08/28/2023 - 12/11/2023)
Grade Mode: Graduate Credit/Fail grading

Class Size: 2
CRN: 16899

Doctoral Research.

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

Instructors: Thomas Butkiewicz

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023		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: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading

Class Size: 30
CRN: 16204

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
8/28/2023	10/20/2023		Hours Arranged	ONLINE

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: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading

Class Size: 30
CRN: 16205

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
10/30/2023	12/22/2023		Hours Arranged	ONLINE

CPS Online Coll of Professional Studies :: Data Analytics

DAT 620 (X1) - Data Analytics in Business Intelligence

Data Analytics in Bus Intel

Online Course Delivery Method: Online Asynchronous

Credits: 4.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading

Class Size: 10
CRN: 16826

This course will examine the role of data analysis through the lens of multiple business disciplines such as business, health care, and marketing. Students will have the opportunity to explore key areas in the analytical process, including how data are created, stored, and accessed. The course covers how businesses and organizations work with data to create environments in which analytics can drive effective and efficient decision making.

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

Prerequisite(s): DAT 610 or DATA 610G

Equivalent(s): DATA 620G

Campuses not allowed in section: Durham

Attributes: Online (no campus visits), EUNH

Instructors: Anthony Sulpizio

Start Date	End Date	Days	Time	Location
8/28/2023	10/20/2023		Hours Arranged	ONLINE

CPS Online Coll of Professional Studies :: Data Analytics

DAT 670 (01) - Advanced Data Analytics

Advanced Data Analytics

Online Course Delivery Method: Online Asynchronous

Credits: 4.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading

Class Size: 30
CRN: 16207

Students will have the opportunity to explore more advanced data analytics methods such as collaborating on hypothesis testing and performing root cause analysis and practice presenting visualizations of data analysis that highlight the insights gained from analysis. The handling of imperfect data will also be covered.

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

Prerequisite(s): (DAT 620 or DATA 620G)

Equivalent(s): DATA 630G

Campuses not allowed in section: Durham

Attributes: Online (no campus visits), EUNH

Instructors: Anthony Sulpizio

Start Date	End Date	Days	Time	Location
10/30/2023	12/22/2023		Hours Arranged	ONLINE

Manchester Coll of Professional Studies :: Analytics

DATA 557 (M1) - Introduction to Data Science and Analytics

Introduction to Analytics

Online Course Delivery Method: Hybrid / Blended

Credits: 4.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading

Class Size: 20
CRN: 12096

An introduction to data science and analytics. The landscape of analytics, including an overview of industries and sectors using analytics or expected to use analytics in the near future. Data generation, data management, data cleaning, and data preparation. Ethical use of data. Focus on visual and exploratory analysis. Project-based, with an emphasis on collaborative, experiential learning. Programming and statistical software will be used, but previous experience is not required.

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

Attributes: Online with some campus visits, EUNH, Environment,Tech&Society(Disc)

Instructors: Bogdan Gadidov

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023	T	6:10pm - 8:00pm	PANDRA P367
8/28/2023	12/11/2023		Hours Arranged	ONLINE

Durham Coll of Professional Studies :: Analytics

DATA 674 (01) - Predictive and Prescriptive Analytics I

Predictive Analytics I

Credits: 4.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading

Class Size: 25
CRN: 16017

A first course in predictive and prescriptive analytics. Supervised learning models including linear models and CART models. Model assessment and scoring methods, including cross-validation. Regularization and model tuning. Unsupervised learning models including k-means clustering. Project-based, with an emphasis on collaborative, experiential learning. Statistical software will be used and programming required.

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

Prerequisite(s): MATH 425 and COMP 570 and DATA 557

Instructors: Matthew Magnusson

	Start Date	End Date	Days	Time	Location
	8/28/2023	12/11/2023	MWF	1:10pm - 2:00pm	DEM 253
Final Exam	12/19/2023	12/19/2023	T	8:00am - 10:00am	ONLINE

Manchester Coll of Professional Studies :: Analytics

DATA 690 (M1) - Internship Experience

Internship Experience

Online Course Delivery Method: Online Synchronous

Credits: 1.0 to 4.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Credit/Fail Grading

Class Size: 2
CRN: 14009

A field-based learning experience via placement in a business, non-profit, or government organization using analytics. Under the guidance of a faculty advisor and workplace supervisor, students gain practical experience solving problems and improving operational processes using analytics. May be repeated but no more than 4 credits may fill major requirements.

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

Prerequisite(s): UMST 582

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

Attributes: Scheduled meeting time, Online (no campus visits), EUNH

Instructors: Maggie Wells

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023	M	9:10am - 12:00pm	ONLINE

Additional Course Details:

Registering for academic credit does not complete your required internship approval process. Students must register and “request an experience” in the UNH online platform of Handshake once they have their internship. Visit https://unh.joinhandshake.com/experiences/new to complete your approval process.

For more information on how to complete the Handshake approval process visit, https://manchester.unh.edu/student-internships or contact the UNH Manchester Career and Professional Success (CaPS) Office with questions.