Timeroom: Spring 2021

Manchester UNH-Manchester :: Cybersecurity Policy Risk Mgmt

CPRM 899 (M1) - Capstone: Thesis Option

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

Credits: 3.0
Term: Spring 2021 - E-term III (01/19/2021 - 03/12/2021)
Grade Mode: Letter Grading

Class Size: 1
CRN: 56587

Students synthesize, evaluate, and integrate past experiences, new research, and the cross-disciplinary knowledge constructed during this degree program to create a publishable quality, graduate-level thesis. In continuation with an advisor, each student develops a project plan; establishes goals and objectives; collects and analyzes information; and prepares and delivers a final product agreed upon by the student and advisor. Prereq: CPRM 720 / CPRM 820, CPRM 870 & (CPRM 879 or EDUC 882). Pre- or Co-req: CPRM 790 / CPRM 890.

Section Comments: Tech requirements: microphone & webcam

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

Repeat Rule: May be repeated for a maximum of 6 credits.

Only listed majors in section: CYBR SEC PRM

Instructors: STAFF

Start Date	End Date	Days	Time	Location
1/19/2021	3/12/2021		Hours Arranged	ONLINE

Manchester UNH-Manchester :: Cybersecurity Policy Risk Mgmt

CPRM 899 (M2) - Capstone: Thesis Option

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

Credits: 3.0
Term: Spring 2021 - E-term IV (03/22/2021 - 05/13/2021)
Grade Mode: Letter Grading

Class Size: 1
CRN: 56589

Section Comments: Tech requirements: microphone & webcam

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

Repeat Rule: May be repeated for a maximum of 6 credits.

Only listed majors in section: CYBR SEC PRM

Instructors: STAFF

Start Date	End Date	Days	Time	Location
3/22/2021	5/13/2021		Hours Arranged	ONLINE

Durham Engineering&Physical Sciences :: Computer Science

CS 800 (01) - Internship

Internship

Credits: 1.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Graduate Credit/Fail grading

Class Size: 5
CRN: 50934

Provides an opportunity to apply academic experience in settings associated with future professional employment. A written proposal for the internship must be approved by the department chair. The proposal must specify what the student will learn from the internship, why the student is properly prepared for the internship, and what supervision will be available to the student during the internship. A mid-semester report and a final report are required. Permission required. Computer Science majors only. Cr/F.

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

Repeat Rule: May be repeated for a maximum of 3 credits.

Only listed majors in section: COMP SCI EXT, COMPUTER SCIENC, COMPUTER SCIENC

Instructors: STAFF

Start Date	End Date	Days	Time	Location
2/1/2021	5/11/2021		Hours Arranged	TBA

Durham Engineering&Physical Sciences :: Computer Science

CS 827 (1SY) - Computer Security

Computer Security

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

Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading

Class Size: 18
CRN: 54686

Introductory course in the mechanism and implementation of techniques in computer security. Various fundamental security topics include cryptography, passwords, access control, protocols, software vulnerabilities and malware detection. Prereq: CS 520.

Section Comments: Cross-listed with CS 727

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

Instructors: STAFF

Start Date	End Date	Days	Time	Location
2/1/2021	5/11/2021	TR	11:10am - 12:30pm	ONLINE

Durham Engineering&Physical Sciences :: Computer Science

CS 835 (01) - Introduction to Parallel and Distributed Programming

Intro Parallel & Distrib Prog

Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading

Class Size: 15
CRN: 52892

Programming with multiple processes and threads on distributed and parallel computer systems. Introduces programming tools and techniques for building applications on such platforms. Course requirements consist primarily of programming assignments. Prereq: Undergraduate course in operating systems fundamentals and computer organization; or permission.

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

Instructors: STAFF

Start Date	End Date	Days	Time	Location
2/1/2021	5/11/2021	TR	9:40am - 11:00am	HS 205

Durham Engineering&Physical Sciences :: Computer Science

CS 850 (01R) - Machine Learning

Machine Learning

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

Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading

Class Size: 4
CRN: 56975

An introduction to fundamental concepts and common methods in machine learning. In addition to theoretical topics, the course involves hands-on experience in making predictions using synthetic and real-world datasets. Prereq: Statistics, Programming or permission of instructor.

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

Instructors: STAFF

Start Date	End Date	Days	Time	Location
2/1/2021	5/11/2021	MW	11:10am - 12:30pm	ONLINE
2/1/2021	5/11/2021	F	1:10pm - 2:00pm	ONLINE

Durham Engineering&Physical Sciences :: Computer Science

CS 850 (1SY) - Machine Learning

Machine Learning

Online Course Delivery Method: Scheduled meeting time, Rotational Attendance, Online with some campus visits, EUNH

Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading

Class Size: 10
CRN: 53978

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

Instructors: STAFF

Start Date	End Date	Days	Time	Location
2/1/2021	5/11/2021	MW	11:10am - 12:30pm	KING N121
2/1/2021	5/11/2021	F	1:10pm - 2:00pm	ONLINE

Durham Engineering&Physical Sciences :: Computer Science

CS 857 (01) - Mathematical Optimization for Applications

Mathematical Optimization

Online Course Delivery Method: Rotational Attendance

Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading

Class Size: 8
CRN: 54366

This course introduces the foundations of mathematical optimization and reinforces them via applications. The content includes convex optimization, first and second-order methods, constrained problems, duality, linear and quadratic programming, as well as discrete and non-convex optimization. Applications will focus on machine learning methods but also include problems from engineering and operations research. Prereq: MATH 426; Programming proficiency in MATLAB, R, Java, C, Python, or equivalent.

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

Equivalent(s): MATH 857

Instructors: STAFF

Start Date	End Date	Days	Time	Location
2/1/2021	5/11/2021	MWF	9:40am - 11:00am	KING N334

Durham Engineering&Physical Sciences :: Computer Science

CS 857 (01R) - Mathematical Optimization for Applications

Mathematical Optimization

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

Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading

Class Size: 8
CRN: 56976

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

Equivalent(s): MATH 857

Instructors: STAFF

Start Date	End Date	Days	Time	Location
2/1/2021	5/11/2021	MWF	9:40am - 11:00am	ONLINE

Durham Engineering&Physical Sciences :: Computer Science

CS 858 (1SY) - Algorithms

Algorithms

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

Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading

Class Size: 10
CRN: 54687

An introduction to important concepts in the design and analysis of algorithms and data structures, including implementation, complexity, analysis, and proofs of correctness. Prereq: understanding of basic data structures, familiarity with proof methods and basic concepts from discrete mathematics and the ability to program with recursion.

Section Comments: Cross-listed with CS 758

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

Instructors: STAFF

Start Date	End Date	Days	Time	Location
2/1/2021	5/11/2021	TR	3:40pm - 5:00pm	ONLINE
2/1/2021	5/11/2021	F	2:10pm - 3:00pm	ONLINE