Timeroom: Spring 2022

Displaying 1151 - 1160 of 4444 Results for: Level = All%20Graduate
Durham   Engineering&Physical Sciences :: Computer Science

CS 775 (01) - Database Systems

Database Systems

Credits: 4.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 53263
Introduction to database management systems --- design, implementation, and usage --- with focus on the relational model. Data description, manipulation, and query language in the context of MySQL. Schema design and normalization; indexes, transaction processing. Web access of databases (PHP); overview of XML and noSQL systems. Prereq: CS 515.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Mutual Exclusion : IT 775
Only listed colleges in section: Engineering&Physical Sciences
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 MWF 9:10am - 10:00am KING N133
Durham   Engineering&Physical Sciences :: Computer Science

CS 792 (01) - Senior Project II

Senior Project II

Credits: 2.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   52  
CRN: 51713
Continuation of CS 791: Senior Project I. Students complete the project by implementing their design. Students work in teams. Successful completion of this course fulfills the Capstone Experience requirement for Computer Science majors. Prereq: CS 791. Writing intensive.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: ANLYTC&DS:ANLY, ANLYTC&DS:DS, COMPUTER SCIENC, CS: ALGORITHMS, CS: CYBERSECRTY, CS: SYSTEMS, INFO TECH
Attributes: Writing Intensive Course
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 MW 2:10pm - 3:30pm KING S145
Durham   Engineering&Physical Sciences :: Computer Science

CS 800 (01) - Internship

Internship

Credits: 1.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 50840
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
1/25/2022 5/9/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 827 (01) - Software Security

Software Security

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 54087
Mechanisms and implementation of techniques in software security. Various fundamental security topics include cryptography, access control, protocols, software vulnerabilities, and reverse engineering. Prereq: Machine Organization, Assembly Language, Fundamentals of Cybersecurity.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 TR 11:10am - 12:30pm PARS N116
Durham   Engineering&Physical Sciences :: Computer Science

CS 830 (01) - Introduction to Artificial Intelligence

Intro Artificial Intelligence

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 56668
In-depth introduction to artificial intelligence concentrating on aspects of intelligent problem-solving. Topics include situated agents, advanced search techniques, knowledge representations, logical reasoning techniques, reasoning under uncertainty, advanced planning and control, and learning. Prereq: data structures.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 TR 9:40am - 11:00am KING N101
1/25/2022 5/9/2022 F 3:10pm - 4:00pm KING N113
Durham   Engineering&Physical Sciences :: Computer Science

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

Intro Parallel & Distrib Prog

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 52616
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
1/25/2022 5/9/2022 TR 9:40am - 11:00am PARS NB22
Durham   Engineering&Physical Sciences :: Computer Science

CS 850 (01) - Machine Learning

Machine Learning

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 53553
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
1/25/2022 5/9/2022 MW 11:10am - 12:30pm KING N113
1/25/2022 5/9/2022 F 1:10pm - 2:00pm KING N113
Durham   Engineering&Physical Sciences :: Computer Science

CS 855 (01) - Computer Vision

Computer Vision

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 56670
Studying techniques that make a machine 'see' and 'understand' the world in a human-like fashion. The course discusses the theory behind common computer vision techniques and trains students on designing their own algorithms for understanding image or video. Prereq: Statistics course, and Programming course 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
1/25/2022 5/9/2022 MW 3:40pm - 5:00pm KING N121
Durham   Engineering&Physical Sciences :: Computer Science

CS 857 (01) - Mathematical Optimization for Applications

Mathematical Optimization

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   8  
CRN: 53850
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
1/25/2022 5/9/2022 MWF 9:40am - 11:00am KING N334
Durham   Engineering&Physical Sciences :: Computer Science

CS 858 (01) - Algorithms

Algorithms

Credits: 3.0
Term: Spring 2022 - Full Term (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:   8  
CRN: 54088
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.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
1/25/2022 5/9/2022 TR 3:40pm - 5:00pm KING N101
1/25/2022 5/9/2022 F 2:10pm - 3:00pm KING N113