Faculty : Faculty of Engineering and Applied Sciences

School :

Course Description :

The first part of this course provides the student with a solid and comprehensive background in probability theory with single/multiple random variables. It starts with basic concepts in probability theory such as probability axioms, probability theorems, counting techniques, conditional probability, Bayes’ theorem and law of total probability. Then, the notion of random variables is introduced in both discrete and continuous settings along with a set of important distributions. The extension to the multiple random variables case is considered with an emphasis on the bivariate case. Techniques for determining the distribution of a function of random variables are presented with an application on deriving sampling distributions. Based on this background, the second part of the course describes elementary inferential statistical tools from both theoretical and computational points of view. The estimation problem is presented for different cases based on one and two populations. The test of hypothesis problem is introduced as a standalone problem and as an alternative view of the confidence interval problem. The regression problem is also discussed where the techniques of both estimation and test of hypothesis problems are heavily used to build statistical inference about regression coefficients.

Faculty : Faculty of Engineering and Applied Sciences

School : Computer Science and Engineering

Course Description :

Number systems & coding, Boolean algebra and gate circuits. combinatorial circuits design, function minimization: tabular method, Karnaugh maps. MSI and LSI logic design (Decoder, Multiplexer, ROM), arithmetic -logic unit, flip-flops, synchronous and asynchronous counters using T or JK flipflops, memory element, Input/ Output devices. Sequential logic circuits.

Faculty : Faculty of Engineering and Applied Sciences

School : Computer Science and Engineering

Course Description :

Principles, techniques, and trade-offs used in designing modern processor architectures. Topics include: benchmarking and performance evaluation, long-latency instruction pipelining, hardware and software techniques for exploiting instruction-level parallelism (outof-order, speculative, and predicated instruction execution; multithreading; loop unrolling, software pipelining, and trace scheduling), high performance memory systems, and multiprocessor systems and programming. Modeling and Simulation of Digital Circuits.

Faculty : Faculty of Engineering and Applied Sciences

School : Electronics and Communications Engineering

Course Description :

Introduction and Historical background; number systems, binary arithmetic, Boolean algebra; Combinational logic circuits: basic gates, realization of functions, 2-level networks, multi-level networks, physical properties of gates, elimination of timing hazards and glitches; Modular design of combinational circuits: medium scale design, primitive modules, ALU, hierarchical design using modules; Memory elements: latches/flip flops, level/edge and master/slave devices, asynchronous flip flop inputs, timing constraints, data registers, RAM. Sequential logic circuits: FSM, Mealy/Moore models, modelling behavior, analysis of synchronous/asynchronous circuits, sequential functional units.

Faculty : Faculty of Engineering and Applied Sciences

School : Industrial and Manufacturing Engineering

Course Description :

Safety Legislation - Safety-Related Business Laws - Accident Causation and Investigation - Industrial Hygiene - Ergonomics and Safety Management - Ergonomics and Safety Management - The Human Element in Loss Prevention Fire Prevention and Protection - Hazardous Materials - Construction Safety - Transportation Safety – electrical safety – safety signs – safety tags – personal protective equipment.