Timeroom: Fall 2022

Manchester UNH-Manchester :: Cybersecurity Policy Risk Mgmt

CPRM 898 (M2) - Capstone: Non-Thesis Option

Capstone: Non-Thesis Option

Online Course Delivery Method: Online (no campus visits), EUNH

Credits: 3.0
Term: Fall 2022 - E-term II (10/17/2022 - 12/13/2022)
Grade Mode: Letter Grading

Class Size: 10
CRN: 16551

This capstone integrates all disciplines and competencies that have been learned in this degree program, plus the student's past experiences, areas of specialization, and professional goals, into a single work-based project, internship experience, or other appropriate activity. In consultation with an advisor, each student develops a project plan, establishes goals and objectives; collects and analyzes information; and prepares and delivers a final project agreed upon by the student and advisor. Prereq: CPRM 720 / CPRM 820 and CPRM 880. Pre- or Co-req: CPRM 790 / CPRM 890.

Section Comments: Tech requirements: microphone & webcam

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

Only listed majors in section: CYBR SEC PRM

Instructors: Karl Grindal

Start Date	End Date	Days	Time	Location
10/17/2022	12/13/2022		Hours Arranged	ONLINE

Durham Engineering&Physical Sciences :: Computer Science

CS 408 (3SY) - Living in a Networked World: The Good, the Bad, and the Ugly

Living in a Networked World

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading

Class Size: 30
CRN: 13275

The objective of this course is to explore the implications of living in a networked world. The course surveys the fundamental technologies and practices that make up the Internet and then ask the student to examine the ramifications of using the technologies. Users of the technologies should understand the technology in order to make educated decisions about how to use it safely and effectively. Students have the opportunity to self-publish by using various current technologies including blogs, discussion boards, email and creating web pages using xhtml.

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

Attributes: Environment,Tech&Society(Disc)

Instructors: Sindhu Chellappa

Start Date	End Date	Days	Time	Location
8/29/2022	12/12/2022	TR	3:40pm - 5:00pm	ONLINE

Durham Engineering&Physical Sciences :: Computer Science

CS 501 (1SY) - Professional Ethics and Communication in Technology-related Fields

Professional Ethics & Comm

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading

Class Size: 16
CRN: 12072

A mixed lecture/seminar course intended to improve both reasoning and ability to communicate effectively in front of an audience. Students learn basic forms of ethical argument, they read about ethical situations in which technology and technology professions play a key role, and they participate in student-led discussions about the reading. Students also make oral presentations about both ethical and technical topics, and evaluate each other's presentations in order to improve their sense for what makes a good presentation. Prereq: ENGL 401.

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

Only listed colleges in section: Engineering&Physical Sciences

Only listed majors in section: COMPUTER SCIENC, CS: ALGORITHMS, CS: CYBERSECRTY, CS: SYSTEMS, INFO TECH

Attributes: Inquiry (Discovery), Environment,Tech&Society(Disc)

Instructors: Rita MacAuslan

Start Date	End Date	Days	Time	Location
8/29/2022	12/12/2022	MW	9:10am - 11:00am	ONLINE

Durham Engineering&Physical Sciences :: Computer Science

CS 501 (2SY) - Professional Ethics and Communication in Technology-related Fields

Professional Ethics & Comm

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading

Class Size: 16
CRN: 12073

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

Only listed colleges in section: Engineering&Physical Sciences

Only listed majors in section: COMPUTER SCIENC, CS: ALGORITHMS, CS: CYBERSECRTY, CS: SYSTEMS, INFO TECH

Attributes: Inquiry (Discovery), Environment,Tech&Society(Disc)

Instructors: Rita MacAuslan

Start Date	End Date	Days	Time	Location
8/29/2022	12/12/2022	MW	11:10am - 1:00pm	ONLINE

Durham Engineering&Physical Sciences :: Computer Science

CS 501 (3SY) - Professional Ethics and Communication in Technology-related Fields

Professional Ethics & Comm

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading

Class Size: 16
CRN: 14313

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

Only listed colleges in section: Engineering&Physical Sciences

Only listed majors in section: COMPUTER SCIENC, CS: ALGORITHMS, CS: CYBERSECRTY, CS: SYSTEMS, INFO TECH

Attributes: Inquiry (Discovery), Environment,Tech&Society(Disc)

Instructors: Rita MacAuslan

Start Date	End Date	Days	Time	Location
8/29/2022	12/12/2022	MW	1:10pm - 3:00pm	ONLINE

Durham Engineering&Physical Sciences :: Computer Science

CS 900 (1HY) - Graduate Seminar

Graduate Seminar

Online Course Delivery Method: Online with some campus visits, EUNH

Credits: 1.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading

Class Size: 35
CRN: 10322

Regularly scheduled seminars presented by outside speakers, UNH faculty, and graduate students. Topics include reports of research ideas, progress, and results. Cr/F.

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

Instructors: Elizabeth Varki

Start Date	End Date	Days	Time	Location
8/29/2022	12/12/2022		Hours Arranged	ONLINE
8/29/2022	12/12/2022	F	12:10pm - 1:00pm	KING N121

Manchester UNH-Manchester :: Analytics

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

Introduction to Analytics

Online Course Delivery Method: Online with some campus visits, EUNH

Credits: 4.0
Term: Fall 2022 - UNHM Credit (15 weeks) (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading

Class Size: 20
CRN: 12452

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: Environment,Tech&Society(Disc)

Instructors: Jeremiah Johnson

Start Date	End Date	Days	Time	Location
8/29/2022	12/12/2022	T	6:01pm - 7:50pm	PANDRA P367
8/29/2022	12/12/2022		Hours Arranged	ONLINE

Manchester UNH-Manchester :: Analytics

DATA 690 (M1) - Internship Experience

Internship Experience

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH

Credits: 4.0
Term: Fall 2022 - UNHM Credit (15 weeks) (08/29/2022 - 12/12/2022)
Grade Mode: Credit/Fail Grading

Class Size: 2
CRN: 15142

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. Prereq: UMST 582.

Section Comments: Cross listed with COMP 690, COMP 891, COMP 892

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

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

Cross listed with : COMP 690.M1, COMP 891.M1, COMP 892.M1

Instructors: Andrea Kokolis

Start Date	End Date	Days	Time	Location
8/29/2022	12/12/2022	T	9:01am - 11:50am	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://app.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.

Manchester UNH-Manchester :: Analytics

DATA 800 (M1) - Introduction to Applied Analytic Statistics

Intro: Applied Analytic Stats

Online Course Delivery Method: Online (no campus visits), EUNH

Credits: 3.0
Term: Fall 2022 - E-term I (08/15/2022 - 10/07/2022)
Grade Mode: Letter Grading

Class Size: 20
CRN: 15646

This course is designed to give students a solid understanding of the experience in probability, and inferential statistics. The course provides a foundational understanding of statistical concepts and tools required for decision making in a data science, business, research or policy setting. The course uses case studies and requires extensive use of statistical software.

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

Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT

Instructors: Bogdan Gadidov

Start Date	End Date	Days	Time	Location
8/15/2022	10/7/2022		Hours Arranged	ONLINE

Manchester UNH-Manchester :: Analytics

DATA 820 (M1) - Programming for Data Science

Programming for Data Science

Online Course Delivery Method: Online (no campus visits), EUNH

Credits: 3.0
Term: Fall 2022 - E-term I (08/15/2022 - 10/07/2022)
Grade Mode: Letter Grading

Class Size: 20
CRN: 15647

In this class, students will build their foundational toolbox in data science: upon completion, students will be able to use the computer from the command line; practice version control with GIT & GitHub; gain a mastery of programming in Python; data wrangling with Python and perform an exploratory data analysis (EDA) in Python. All learning objectives are achieved through active application of these techniques to real world datasets. Pre- or Coreq: DATA 800.

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

Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT

Instructors: Phani Kidambi

Start Date	End Date	Days	Time	Location
8/15/2022	10/7/2022		Hours Arranged	ONLINE