Faculty : Faculty of Engineering and Applied Sciences

School : Computer Science and Engineering

Course Description :

Practical implementation of the course material in CSE 211; Python as a programming language; projects manifesting the concepts introduced in CSE 211.

Faculty : Faculty of Engineering and Applied Sciences

School : Computer Science and Engineering

Course Description :

Error analysis (truncation and round-off); stability; rate and order of convergence; solutions of equations in one variable; solution of system of linear equations (direct and indirect methods) function approximation including Taylor’s series; interpolation; extrapolation and regression using Least Squares error criterion; numerical differentiation and integration (Simpson’s rule, explicit and implicit methods); differential equations (Euler’s Method, finite differences).

Faculty : Faculty of Engineering and Applied Sciences

School : Computer Science and Engineering

Course Description :

History and overview; embedded microcontrollers; embedded programs; real-time operating systems; low-power computing; reliable system design; design methodologies; networked embedded systems; interfacing and mixed-signal systems; new sensing technologies; modeling of embedded systems using timed automata and modeling languages such as Acumen.

Faculty : Faculty of Engineering and Applied Sciences

School : Computer Science and Engineering

Course Description :

Introduction to AI; representation and search (state space- search strategy); blind search techniques (breadth-depth-uniform cost- iterative deepening); informed (heuristic) search techniques (hill climbing – best first – A*); constraint satisfaction problems; game trees; random search: genetic algorithm; production rule systems; propositional logic (syntax – semantic – tautology-satisfiability-proof by resolution refutation); first order logic: syntax – semantic – conjunctive normal form- unification-resolution refutation-soundness – completeness); introduction to Prolog basic mechanisms (matching – backtracking – applications-Prolog tree data structuring); introduction to machine learning.

Faculty : Faculty of Engineering and Applied Sciences

School : Computer Science and Engineering

Course Description :

Foundations; designing interaction; programming interactive systems; user-centered design & testing; new interactive technologies; collaboration & communication; statistical methods for HCI; human factors & security; design-oriented HCI; mixed, augmented and virtual reality.