Include a brief summary of the course topics and requirements, the general format of the course, and the methods of evaluation.
Skills and knowledge students should have prior to beginning the course:
Solid programming skills (CIS 2500)
Discrete mathematics and introduction to graphs (CIS 1910/2910)
Algorithms and basic analysis (CIS 3490)
Course Topics:
Finite Automatons/Regular languages
Pushdown Automatons/Context free languages
Turing machines and variants
Undecidable languages (Halting Problem)
Np-completeness
Lecture format: Standard lectures
Online materials location and format: Courselink, notes/assignments posted
Lab or tutorial format and expectations: No lab/tutorial
Method of evaluation: