Riccardo Bettati

  • Professor
Riccardo Bettati

Dilma Da Silva

  • Head, Department of Computer Science and Engineering
  • Professor
  • Holder of the Ford Motor Company Design Professorship II
  • Interim Deputy Director, Texas A&M Institute of Data Science
Dilma Da Silva

Jeff Huang

  • Assistant Professor
Jeff Huang

Daniel A. Jiménez

  • Professor
Daniel A. Jiménez

Lawrence Rauchwerger

  • Eppright Professor
Lawrence Rauchwerger

Radu Stoleru

  • Associate Professor
Radu Stoleru

Courses Offered

CSCE 604. Programming Languages. Credits 3. 3 Lecture Hours

Study in the design space of programming languages, covering language processing, formalisms to describe semantics of programming languages, important concepts found in current programming languages, and programming paradigms. 

Prerequisite: Graduate classification.

CSCE 605. Compiler Design. Credits 3. 3 Lecture Hours

Advanced topics in compiler writing; parser generators and compiler-compilers; dynamic storage and scope resolution; data flow analysis and code optimization. 

Prerequisite: CSCE 434.

CSCE 611. Operating Systems and Applications. Credits 3. 3 Lecture Hours

Review of computer architecture hardware/software evolution leading to contemporary operating systems; basic operating systems concepts; methods of operating systems design and construction; algorithms for CPU scheduling memory and general resource allocation; process coordination and management; case studies of several operating systems; quality-of-services of operating systems and their impact on applications. No credit will be given for both CSCE 410 and CSCE 611. 

Prerequisite: CSCE 313; graduate classification.

CSCE 613. Operating Systems. Credits 3. 3 Lecture Hours

Analysis of algorithms in computer operating systems; sequencing and control algorithms supporting concurrent processes; scheduling algorithms to minimize execution times and mean flow times; algorithms for allocating tasks to processors; allocation of memory (virtual and real); direct access device schedules; auxiliary and buffer storage models.

Prerequisite: CSCE 313 or CSCE 611.

CSCE 614. Computer Architecture. Credits 3. 3 Lecture Hours

Reviews of von Neumann architecture and its limitations; parallel computer structures and concurrent computation; pipeline computers and vectorization methods; array processors, multiprocessor architectures and programming; dataflow computers. 

Prerequisite: CSCE 350/ECEN 350/ECEN 350/CSCE 350.

CSCE 654. Supercomputing. Credits 3. 3 Lecture Hours

Principles of high-performance scientific computing systems, vectorization, programming on supercomputers, numerical methods for supercomputers, performance measuring of supercomputers, multitasking. 

Prerequisite: CSCE 614.

CSCE 663. Real-Time Systems. Credits 3. 3 Lecture Hours

Taxonomy of real-time computer systems; scheduling algorithms for static and dynamic real-time tasks; hard real-time communications protocols; programming languages and environments for real-time systems; case studies of real-time operating systems. 

Prerequisite: CSCE 313, and CSCE 463 or CSCE 611, or approval of instructor.