Theodora Chaspari
- Assistant Professor
- Office: HRBB 315D
- Phone: 979-458-2205
- Email: chaspari@tamu.edu
Thomas R. Ioerger
- Associate Professor
- Office: HRBB 322C
- Phone: 979-458-5518
- Email: ioerger@cse.tamu.edu
Zhangyang (Atlas) Wang
- Assistant Professor
- Office: HRBB 328C
- Phone: 979-845-7977
- Email: atlaswang@tamu.edu
Courtesy Appointments
Nick Duffield
- Professor
- Director, Texas A&M Institute of Data Science
- Office: WEB 332D
- Phone: 979-845-7328
- Email: duffieldng@tamu.edu
Courses Offered
CSCE 625. Artificial Intelligence. Credits 3. 3 Lecture HoursBasic concepts and methods of artificial intelligence; Heuristic search procedures for general graphs; game playing strategies; resolution and rule based deduction systems; knowledge representation; reasoning with uncertainty. Prerequisite: CSCE 221. |
CSCE 631. Intelligent Agents Parallel Algorithm Design and Analysis. Credits 3. 3 Lecture HoursOn the design and implementation of Intelligent Agents and coordination mechanisms among multiple agents, ranging from theoretical principles to practical methods for implementation. |
CSCE 627. Theory of Computability. Credits 3. 3 Lecture HoursFormal models of computation such as pushdown automata; Turing machines and recursive functions; unsolvability results; complexity of solvable results. Prerequisite: CSCE 433. |
CSCE 636. Neural Networks. Credits 3. 3 Lecture HoursBasic concepts in neural computing; functional equivalence and convergence properties of neural network models; associative memory models; associative, competitive and adaptive resonance models of adaptation and learning; selective applications of neural networks to vision, speech, motor control and planning; neural network modeling environments. Prerequisite: MATH 304 and MATH 308 or approval of instructor. |
CSCE 639/MEEN 676. Fuzzy Logic and Intelligent Systems. Credits 3. 3 Lecture HoursIntroduces the basics of fuzzy logic and its role in developing intelligent systems; topics include fuzzy set theory, fuzzy rule inference, fuzzy logic in control, fuzzy pattern recognition, neural fuzzy systems and fuzzy model identification using genetic algorithms. Prerequisite: CSCE 625 or approval of instructor. |
CSCE 644. Cortical Networks. Credits 3. 3 Lecture HoursThe architecture of the mammalian cerebral cortex; its modular organization and its network for distributed and parallel processing; cortical networks in perception and memory; neuronal microstructure and dynamical simulation of cortical networks; the cortical network as a proven paradigm for the design of cognitive machines. Prerequisite: CSCE 420 or CSCE 625 and CSCE 636 and graduate classification. |