Timeroom: Spring 2025

Durham Engineering&Physical Sciences :: Computer Science

CS 750 (01) - Machine Learning

Machine Learning

Credits: 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading

Class Size: 35
CRN: 56456

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.

Prerequisite(s): MATH 539 or MATH 644

Instructors: Marek Petrik

Start Date	End Date	Days	Time	Location
1/21/2025	5/5/2025	TR	9:40am - 11:00am	GREGG 110

Durham Engineering&Physical Sciences :: Computer Science

CS 757 (01) - Mathematical Optimization for Applications

Mathematical Optimization

Credits: 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading

Class Size: 7
CRN: 52381

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.

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
1/21/2025	5/5/2025	MWF	10:10am - 11:00am	KING N113

Durham Engineering&Physical Sciences :: Computer Science

CS 758 (01) - Algorithms

Algorithms

Credits: 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading

Class Size: 30
CRN: 54776

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

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
1/21/2025	5/5/2025	TR	3:40pm - 5:00pm	KING S145
1/21/2025	5/5/2025	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 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading

Class Size: 20
CRN: 54777

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.

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
1/21/2025	5/5/2025	TR	2:10pm - 3:30pm	KING N310

Durham Engineering&Physical Sciences :: Computer Science

CS 761 (01) - Programming Language Concepts and Features

Program Lang Concepts&Features

Credits: 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading

Class Size: 35
CRN: 53130

Explores the main features of modern, high-level, general-purpose programming languages from the user (programmer) standpoint. Students learn how specific features of programming languages can be used effectively in solving programming problems. The course is also an opportunity to use paradigms that expand on simple imperative programming, such as object-oriented, functional and concurrent programming. Some knowledge of Java required.

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

Equivalent(s): CS 671

Cross listed with : CS 861.01

Only listed colleges in section: Engineering&Physical Sciences

Instructors: Michel Charpentier

Start Date	End Date	Days	Time	Location
1/21/2025	5/5/2025	TR	2:10pm - 3:30pm	PARS NB22

Durham Engineering&Physical Sciences :: Computer Science

CS 775 (01) - Database Systems

Database Systems

Credits: 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading

Class Size: 30
CRN: 52104

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.

Prerequisite(s): CS 515

Cross listed with : CS 875.01

Mutual Exclusion : IT 775

Only listed colleges in section: Engineering&Physical Sciences

Instructors: Elizabeth Varki

Start Date	End Date	Days	Time	Location
1/21/2025	5/5/2025	MWF	9:10am - 10:00am	KING N334

Durham Engineering&Physical Sciences :: Computer Science

CS 780 (01) - Topics

Topics

Credits: 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading

Class Size: 19
CRN: 54987

Material not normally covered in regular course offerings. May be repeated for credit.

Cross listed with : CS 880.01

Instructors: Aleksey Charapko

Start Date	End Date	Days	Time	Location
1/21/2025	5/5/2025	MW	12:40pm - 2:00pm	HS G21

Durham Engineering&Physical Sciences :: Computer Science

CS 780 (02) - Topics

Topics

Credits: 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading

Class Size: 10
CRN: 56460

Material not normally covered in regular course offerings. May be repeated for credit.

Cross listed with : CS 880.02

Instructors: Momotaz Begum

Start Date	End Date	Days	Time	Location
1/21/2025	5/5/2025	MW	2:10pm - 3:30pm	KING N233

Durham Engineering&Physical Sciences :: Computer Science

CS 780 (03) - Topics

Topics

Credits: 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading

Class Size: 25
CRN: 56457

Material not normally covered in regular course offerings. May be repeated for credit.

Instructors: Matthew Magnusson

Start Date	End Date	Days	Time	Location
1/21/2025	5/5/2025	MWF	1:10pm - 2:00pm	MORSE 217

Durham Engineering&Physical Sciences :: Computer Science

CS 781 (01) - Data Science for Knowledge Graphs and Text

DS - Knowledge Graphs and Text

Credits: 4.0
Term: Spring 2025 - Full Term (01/21/2025 - 05/05/2025)
Grade Mode: Letter Grading

Class Size: 15
CRN: 56458

This course covers advanced text processing and machine learning algorithms and techniques for data science with knowledge graph and text data. This includes a wide range of algorithms for neural networks, machine learning, graph processing, text processing, and information retrieval with a focus of gaining insights into the knowledge stored in data. This an implementation-intensive research-oriented seminar, where a particular data science application will be developed by reading research publication and implementing a software prototype.

Prerequisite(s): CS 752 with minimum grade of B- or CS 753 with minimum grade of B- or CS 759 with minimum grade of B-

Cross listed with : CS 881.01

Instructors: Laura Dietz

Start Date	End Date	Days	Time	Location
1/21/2025	5/5/2025	TR	5:10pm - 6:30pm	KING N133