Computer Science Moodle

Senior Software Engineering Project is a year long course in which students work in teams on a real-life project from industry, University affiliate, or non-profit organization. Rather than participate as a team member, students with significant full-time work experience as a software developer take the fall portion of the course working as mentors for teams. Students working on interdisciplinary projects in other departments take the fall portion of the course with their project component satisfied in another department.

Introduces the practice and research of human-centered computing, including the evolution of human-computer interaction to its forms today and the techniques of user-centered design. The course will survey topics that include social computing; tangible computing; mobility; and more. It will cover computing in society at large with respect to domains such as health, education, assistive technology, emergency response, and environment. Prerequisites: Restricted to students with 27-180 credits (Sophomores, Juniors or Seniors) only.

The overarching learning goal of this class is to create an appreciation for the tight interplay between mechanism, sensor, and control in the design of intelligent systems. This includes (1) formally describing the forward and inverse kinematics of a mechanism, (2) understanding the sources of uncertainty in sensing and actuation as well as to describe them mathematically, (3) how to discretize the robot’s state and reason about it algorithmically, and (4) experiencing 1-3 on a real robotic platform.

After using a variety of platforms, this iteration of the class will use the “Sparki“, a simple differential wheel platform from ArcBotics, allowing students to implement simple odometry, Markov localization and simple planning for object retrieval tasks.

1. Automata Theory
   • Formalization of the notion of problems via formal languages
   • Formalization of the notion of computation using "abstract computing devices" called automata
   • Understanding a hierarchy of classes of problems or formal languages (regular, context-free, context-sensitive, decidable, and undecidable)
   • Understanding a hierarchy of classes of automata (finite automata, pushdown automata, and Turing machines)
   • Understanding applications to pattern matching, parsing, and programming languages
2. Computability Theory
   • Understanding Church-Turing thesis (Turing machines as a notion of "general-purpose computers")
   • Understanding the concept of reduction , i.e., solving a problem using a solution (abstract device) for a different problem
   • Understanding the concept of undecidability , i.e., when a problem can not be solved using computers
3. Complexity Theory
   • Complexity classes : how to classify decidable problems based on their time and space requirements
   • Complexity classes P and NP
   • When a problem is called intractable (NP-completeness)
   • Using reductions to prove problems intractable

Operating systems are an essential part of every computing system. They play a major role in determining the performance and usability of a computing system. This course is an introductory course covering the fundamental concepts in the design, implementation and evaluation of an operating system. While the field of operating systems has been undergoing rapid change, the fundamental concepts remain firmly clear.  This course covers these fundamental concepts comprised of device management, process management, memory management and network management.

This class focuses on design and implementation of network programs and systems. Topics include network protocols, file transfer, client-server computing, remote procedure call, and other contemporary network system design and programming techniques.

This course provides an in-depth coverage of the underlying principles and practices involved in the design, implementation and evaluation of a distributed system.

Introduces the practice and research of human-centered computing, including the evolution of human-computer interaction to its forms today and the techniques of user-centered design. The course will survey topics that include social computing; tangible computing; mobility; and more. It will cover computing in society at large with respect to domains such as health, education, assistive technology, emergency response, and environment. Prerequisites: Restricted to students with 27-180 credits (Sophomores, Juniors or Seniors) only.

This course teaches the security mindset and introduces the principles and practices of computer security as applied to software, host systems, and networks. It covers the foundations of building, using, and managing secure systems. Topics include standard cryptographic functions and protocols, threats and defenses for real-world systems, incident response, and computer forensics.

Schedule and assignments at https://ericw.us/trow/ecen5032/

Turn in projects here

Graduate Recruiting

Graduate Committee

Communication for the curriculum committee