Timeroom: Spring 2021

Displaying 221 - 230 of 1176 Results for: Level = All Graduate

CPRM 899 (M1) - Capstone: Thesis Option

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
You must sign up in the Dept Office before registering through WEBCAT.
Repeat Rule: May be repeated for a maximum of 6 credits.
Only listed majors in section: CYBR SEC PRM
Instructors: Maeve Dion
Start Date End Date Days Time Location
1/19/2021 3/12/2021 Hours Arranged ONLINE

CPRM 899 (M2) - Capstone: Thesis Option

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
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
You must sign up in the Dept Office before registering through WEBCAT.
Repeat Rule: May be repeated for a maximum of 6 credits.
Only listed majors in section: CYBR SEC PRM
Instructors: Maeve Dion
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.
You must sign up in the Dept Office before registering 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: Elizabeth Varki
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

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
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Dongpeng Xu
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.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Michel Charpentier
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

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.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Marek Petrik
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

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
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.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Marek Petrik
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

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.
You must sign up in the Dept Office before registering through WEBCAT.
Equivalent(s): MATH 857
Instructors: Marek Petrik
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

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
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.
You must sign up in the Dept Office before registering through WEBCAT.
Equivalent(s): MATH 857
Instructors: Marek Petrik
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

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
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Laura Dietz
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