Timeroom: Fall 2023

Durham Engineering&Physical Sciences :: Computer Science

CS 527 (02) - Fundamentals of Cybersecurity

Fundamentals of Cybersecurity

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

Class Size: 40
CRN: 15596

An entry-level introduction to a wide range of fundamental cybersecurity topics: authentication, authorization, auditing, cryptography, human element, network security, OS security, mobile & IoT security. The emphasis is to explain basic concepts with real world examples.

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

Prerequisite(s): CS 416 or CS 417

Instructors: Jason Reeves

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023	TR	3:40pm - 5:00pm	PARS NB22

Durham Engineering&Physical Sciences :: Computer Science

CS 619 (01) - Introduction to Object-Oriented Design and Development

Intro O-O Design and Devel

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

Class Size: 36
CRN: 11488

Principles of problem analysis and software design applied to the development cycle of a software system (i.e. from system requirements specification to design, implementation, and system test). Design and implementation using object-oriented principles, patterns, and tools. Experience in understanding and debugging software systems. Experience in working in groups.

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

Prerequisite(s): CS 515 with minimum grade of C- and CS 518

Only listed colleges in section: Engineering&Physical Sciences

Instructors: Matthew Plumlee

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023	MW	1:10pm - 3:00pm	PARS NB22

Click to see: Booklist

Durham Engineering&Physical Sciences :: Computer Science

CS 620 (01) - Operating System Fundamentals

Operating System Fundamentals

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

Class Size: 40
CRN: 11371

Introduces operating system concepts and design. Process and memory management; scheduling; file systems; storage devices; inter-process communication.

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

Prerequisite(s): CS 520

Only listed colleges in section: Engineering&Physical Sciences

Instructors: Elizabeth Varki

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023	MWF	9:10am - 10:00am	KING N343

Click to see: Booklist

Durham Engineering&Physical Sciences :: Computer Science

CS 659 (01) - Introduction to the Theory of Computation

Intro to Theory of Computation

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

Class Size: 40
CRN: 11466

Review of sets, relations, and languages. Induction and diagonalization. Finite automata, context-free languages, pushdown automata. Basic complexity theory.

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

Prerequisite(s): MATH 531

Only listed colleges in section: Engineering&Physical Sciences

Instructors: Alejandro Hausner

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023	MWF	12:10pm - 1:00pm	HS G34

Click to see: Booklist

Durham Engineering&Physical Sciences :: Computer Science

CS 696 (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: 10234

Individual projects developed and conducted under the supervision of a faculty member.

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

Repeat Rule: May be repeated up to unlimited times.

Equivalent(s): CS 696W

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 720 (01) - Systems Programming

Systems Programming

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

Class Size: 12
CRN: 13540

Study and simulation of various types of systems that include assemblers, linkers, memory management, concurrency and other resource management techniques.

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

Prerequisite(s): CS 520

Cross listed with : CS 820.01

Only listed colleges in section: Engineering&Physical Sciences

Instructors: Arvind Narayan

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023	MWF	11:10am - 12:00pm	KING N242

Durham Engineering&Physical Sciences :: Computer Science

CS 722 (01) - Cloud Computing Systems

Cloud Computing Systems

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

Class Size: 24
CRN: 14164

The course covers a variety of topics in cloud computing systems, or more precisely, distributed systems that enable modern cloud computing. The topics include virtualization and its impact on configuration management. The course also covers the latest advancements in cloud computing/systems, IoT, edge, and fog computing.

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

Prerequisite(s): CS 620

Cross listed with : CS 822.01

Only listed colleges in section: Engineering&Physical Sciences

Instructors: Aleksey Charapko

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023	MW	3:40pm - 5:00pm	PARS NB24

Durham Engineering&Physical Sciences :: Computer Science

CS 723 (01) - Performance Evaluation of Computer Systems

Performance Eval of Comp Sys

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

Class Size: 20
CRN: 15597

Introduces the main concepts, techniques, and tools needed to evaluate the performance of computer systems under various configurations and workloads. The techniques allow one to perform capacity planning based on quality of service requirements of users and workload characteristics. Course is mainly based on the use of analytic queuing network models of computers systems. The performance techniques are applied to study the performance of centralized, distributed, parallel, and client/server systems. The course also discusses performance measuring tools for operating systems such as Unix and Windows NT.

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

Prerequisite(s): CS 620 and (MATH 539 or MATH 644)

Cross listed with : CS 823.01

Instructors: Elizabeth Varki

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023	MWF	10:10am - 11:00am	KING N334

Durham Engineering&Physical Sciences :: Computer Science

CS 725 (01) - Computer Networks

Computer Networks

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

Class Size: 30
CRN: 11946

Introduction to fundamental concepts of computer networks and exploration of widely-used networking technologies. Topics include principles of congestion and error control; network routing; local, wireless and access networks; application protocol design; and network programming. In-depth discussion of the Internet suite of protocols.

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

Prerequisite(s): CS 520

Equivalent(s): IT 725

Cross listed with : CS 825.01, IT 725.01

Only listed colleges in section: Engineering&Physical Sciences

Majors not allowed in section: INFO TECH

Instructors: Radim Bartos

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023	MW	2:10pm - 3:30pm	KING S145

Click to see: Booklist

Durham Engineering&Physical Sciences :: Computer Science

CS 750 (01) - Machine Learning

Machine Learning

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

Class Size: 30
CRN: 15942

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. Programming course required prior to taking this course.

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

Prerequisite(s): MATH 539 or MATH 644

Cross listed with : CS 850.01

Instructors: Marek Petrik

Start Date	End Date	Days	Time	Location
8/28/2023	12/11/2023	TR	9:40am - 11:00am	KING N101