Timeroom: Spring 2024

Durham Engineering&Physical Sciences :: Computer Science

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

Intro to Theory of Computation

Online Course Delivery Method: Online Synchronous

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 40
CRN: 50951

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

Attributes: Scheduled meeting time, Online (no campus visits), EUNH

Instructors: Jasminka Hasic

	Start Date	End Date	Days	Time	Location
	1/23/2024	5/6/2024	TR	11:10am - 12:30pm	ONLINE
Final Exam	5/14/2024	5/14/2024	T	1:00pm - 3:00pm	ONLINE

Durham Engineering&Physical Sciences :: Computer Science

CS 696 (01) - Independent Study

Independent Study

Credits: 1.0 to 6.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

CRN: 50122

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
1/23/2024	5/6/2024		Hours Arranged	TBA

Durham Engineering&Physical Sciences :: Computer Science

CS 696W (02) - Independent Study

Independent Study

Credits: 1.0 to 6.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 1
CRN: 53328

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

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

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

Repeat Rule: May be repeated up to 1 times.

Equivalent(s): CS 696

Attributes: Writing Intensive Course

Instructors: Radim Bartos

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024		Hours Arranged	TBA

Durham Engineering&Physical Sciences :: Computer Science

CS 699 (01) - Internship

Internship

Credits: 1.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Credit/Fail Grading

Class Size: 5
CRN: 51564

Provides the opportunity to apply academic experience in settings associated with future professional employment. A written proposal for the internship must be approved by the instructor. The proposal must specify what the student will learn from the internship, why the student is properly prepared for the internship and what supervision is available during the internship. A mid-semester report and final report are required. Prereq: permission.

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

Repeat Rule: May be repeated for a maximum of 4 credits.

Repeat Rule: May be repeated up to 3 times.

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

Instructors: Arvind Narayan

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024		Hours Arranged	TBA

Durham Engineering&Physical Sciences :: Computer Science

CS 727 (01) - Software Security

Software Security

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 30
CRN: 52997

Mechanisms and implementation of techniques in software security. Various fundamental security topics include cryptography, access control, protocols, software vulnerabilities, and reverse engineering.

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

Prerequisite(s): CS 520 with minimum grade of C- and CS 527

Cross listed with : CS 827.01

Only listed colleges in section: Engineering&Physical Sciences

Instructors: Dongpeng Xu

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	TR	11:10am - 12:30pm	KING N121

Durham Engineering&Physical Sciences :: Computer Science

CS 730 (01) - Introduction to Artificial Intelligence

Intro Artificial Intelligence

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 30
CRN: 53952

In-depth introduction to artificial intelligence, concentrating on aspects of intelligent problem-solving. Topics include situated agents, advanced search techniques, knowledge representation, logical reasoning techniques, reasoning under uncertainty, advanced planning and control, and learning.

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

Prerequisite(s): CS 515

Cross listed with : CS 830.01

Only listed colleges in section: Engineering&Physical Sciences

Instructors: Wheeler Ruml

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	TR	8:10am - 9:30am	PARS N114
1/23/2024	5/6/2024	F	3:10pm - 4:00pm	PARS N114

Durham Engineering&Physical Sciences :: Computer Science

CS 735 (01) - Introduction to Parallel and Distributed Programming

Intro Parallel & Distrib Prog

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 25
CRN: 51996

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.

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

Prerequisite(s): CS 761

Cross listed with : CS 835.01

Only listed colleges in section: Engineering&Physical Sciences

Instructors: Michel Charpentier

	Start Date	End Date	Days	Time	Location
	1/23/2024	5/6/2024	TR	9:40am - 11:00am	PARS N114
Final Exam	5/14/2024	5/14/2024	T	8:00am - 10:00am	PARS N114

Durham Engineering&Physical Sciences :: Computer Science

CS 757 (01) - Mathematical Optimization for Applications

Mathematical Optimization

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 7
CRN: 52878

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. Programming proficiency in MATLAB, R, Java, C, Python, or equivalent required.

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

Prerequisite(s): MATH 426

Equivalent(s): MATH 757

Cross listed with : CS 857.01

Only listed colleges in section: Engineering&Physical Sciences

Instructors: Marek Petrik

	Start Date	End Date	Days	Time	Location
	1/23/2024	5/6/2024	MWF	10:10am - 11:00am	KING N113
Final Exam	5/15/2024	5/15/2024	W	10:30am - 12:30pm	KING N113

Durham Engineering&Physical Sciences :: Computer Science

CS 758 (01) - Algorithms

Algorithms

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 30
CRN: 56680

An introduction to important concepts in the design and analysis of algorithms and data structures, including implementation, complexity analysis, and proofs of correctness.

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

Prerequisite(s): CS 420 with minimum grade of C- and CS 515 with minimum grade of C- and CS 659

Cross listed with : CS 858.01

Instructors: Laura Dietz

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	TR	3:40pm - 5:00pm	KING S145
1/23/2024	5/6/2024	F	2:10pm - 3:00pm	KING N334

Durham Engineering&Physical Sciences :: Computer Science

CS 759 (01) - Natural Language Processing

Natural Language Processing

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 30
CRN: 56681

This class covers natural language processing, including both methods and well-known applications. Methods discussed will range from classical probabilistic methods such as Naive Bayes and Hidden Markov Models, to contemporary neural network methods, including word vector models, recurrent neural networks, and Transformer-based models. Applications discussed will include text classification, machine translation, and conversation systems.

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

Prerequisite(s): CS 515 and (MATH 539 or MATH 644)

Cross listed with : CS 859A.01

Instructors: Samuel Carton

	Start Date	End Date	Days	Time	Location
	1/23/2024	5/6/2024	TR	3:40pm - 5:00pm	KING N101
Final Exam	5/15/2024	5/15/2024	W	1:00pm - 3:00pm	KING N101

Additional Course Details:

This course progresses from classical NLP approaches to the most contemporary neural approaches that underly technologies like ChatGPT. My goal is to get students both a strong understanding of the methods underlying these very-much-taking-over-the-world-right-now models, as well as understanding of how to use them and where they might be going.

The course assumes a reasonably strong background in programming (e.g. CS 515), and in statistics/probability (e.g. MATH 539 or MATH 644). It does NOT require a background in AI/machine learning--I teach those concepts from the ground up in a text-centered way.

The course is taught using Python for code examples and homeworks. Familiarity with Python is helpful but not required, as a strong programmer will be able to pick the language up quickly enough to do the course assignments.