Timeroom: Fall 2024

Displaying 241 - 250 of 1327 Results for: Level = All Graduate
Durham   Engineering&Physical Sciences :: Computer Science

CS 800 (01) - Internship

Internship

Credits: 1.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Graduate Credit/Fail grading
Class Size:   5  
CRN: 10685
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.
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: Elizabeth Varki
Start Date End Date Days Time Location
8/26/2024 12/9/2024 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Computer Science

CS 820 (01) - Systems Programming

System Programming

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 12911
Study and simulation of various types of systems that include assemblers, linkers, memory management, concurrency and other resource management techniques. Students are expected to have background in Computer Organization, Operating Systems Fundamentals or equivalent.
Cross listed with : CS 720.01
Instructors: Arvind Narayan
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MWF 9:10am - 10:00am KING N204
Durham   Engineering&Physical Sciences :: Computer Science

CS 822 (01) - Cloud Computing Systems

Cloud Computing Systems

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 13358
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 system design, cloud-scale storage, cloud data processing and machine learning systems, and cloud configuration management. The course also covers the latest advancements in cloud computing/systems, IoT, edge, and fog computing. Students are expected to have background in operating systems fundamentals.
Cross listed with : CS 722.01
Instructors: Aleksey Charapko
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MW 3:40pm - 5:00pm PARS N114
Durham   Engineering&Physical Sciences :: Computer Science

CS 825 (01) - Computer Networks

Computer Networks

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 11651
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.
Cross listed with : CS 725.01, IT 725.01
Instructors: Radim Bartos
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MW 2:10pm - 3:30pm KING S145
Durham   Engineering&Physical Sciences :: Computer Science

CS 831 (01) - Planning for Robots

Planning for Robots

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   9  
CRN: 16637
How do self-driving cars figure out what to do? In this seminar-style class, students read scientific papers and perform a research project pertaining to algorithms for planning and decision-making, with an emphasis on autonomous systems. Students outside Computer Science are welcome with permission of the instructor. Students from prior years are welcome to take the class again and either extend their previous work or choose a new topic.
Repeat Rule: May be repeated for a maximum of 12 credits.
Repeat Rule: May be repeated up to 2 times.
Cross listed with : CS 731.01
Instructors: Wheeler Ruml
Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 2:10pm - 3:30pm HS 344
Durham   Engineering&Physical Sciences :: Computer Science

CS 833 (01) - Mobile Robotics

Mobile Robotics

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 16264
An introduction to the foundational theory and practices in mobile robotics. Topics include Kinematics of wheeled mobile robots. Seniors for mobile robots, robot navigation and perception, robot vision, localization and mapping of mobile robots. Hands-on experience directed towards implementation with a real robot. Students are expected to have background in programming.
Cross listed with : CS 733.01
Instructors: Momotaz Begum
Start Date End Date Days Time Location
8/26/2024 12/9/2024 F 2:10pm - 3:30pm KING N334
8/26/2024 12/9/2024 MW 2:10pm - 3:30pm KING N334
Durham   Engineering&Physical Sciences :: Computer Science

CS 845 (01) - Formal Specification and Verification of Software Systems

Formal Spec & Verif of Systems

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 16265
Course focuses on the formal specification and verification of reactive systems, most notably concurrent and distributed systems. Topics relevant to these systems, such as non-determinism, safety and liveness properties, asynchronous communication or compositional reasoning, are discussed. We rely on a notation (T LA+, the Temporal Logic of Actions) and a support tool (TLC, the TLA+ Model Checker). Students are expected to be knowledgeable in logic and to be able to write symbolic proofs in predicate calculus. A basic understanding of the notions of assertion, precondition, and post-condition is also assumed.
Cross listed with : CS 745.01
Instructors: Michel Charpentier
Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 9:40am - 11:00am KING N133
Durham   Engineering&Physical Sciences :: Computer Science

CS 851A (01) - Reinforcement Learning

Reinforcement Learning

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 16266
Reinforcement learning studies how agents can learn to act to achieve goals in complex, stochastic environments. This course introduces students to fundamental theoretical concepts of reinforcement learning, standard algorithms, and practical techniques. In addition to theoretical topics, the course involves implementing basic algorithms in a high-level programming language. Programming and statistics required prior to taking this course.
Cross listed with : CS 751.01
Instructors: Marek Petrik
Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 9:40am - 11:00am KING N101
Durham   Engineering&Physical Sciences :: Computer Science

CS 852 (01) - Foundations of Neural Networks

Foundations of Neural Networks

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 16267
Neural networks are a class of machine learning models which have recently revolutionized many applied machine learning domains such as natural language understanding, image/video processing, bioinformatics, time series analysis. This course teaches students to develop new neural network architectures from scratch and customize them. The course covers all necessary foundations of neural networks including gradient descent optimization and vector calculus. Students will learn how to design models using idioms such as observed variables, latent variables, gate variables and different functions as well as a wide range of state-of-the-art architectures as design examples. Students are expected to have background in data structures.
Cross listed with : CS 752.01, CS 752.H01
Instructors: Laura Dietz
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MW 3:40pm - 5:00pm KING N101
8/26/2024 12/9/2024 M 5:10pm - 6:00pm KING N328
Additional Course Details: 

This is an implementation-intensive elective.

Durham   Engineering&Physical Sciences :: Computer Science

CS 858 (01) - Algorithms

Algorithms

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 13178
An introduction to important concepts in the design and analysis of algorithms and data structures, including implementation, complexity, analysis, and proofs of correctness. Understanding of basic data structures, familiarity with proof methods and basic concepts from discrete mathematics and the ability to program with recursion.
Cross listed with : CS 758.01
Instructors: Wheeler Ruml
Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 11:10am - 12:30pm KING N121
8/26/2024 12/9/2024 F 1:10pm - 2:00pm KING N101