Required Area Courses

MATH 106 – Calculus I
Credits: 3
Prerequisites:
Limits and continuity; derivative and properties of differentiable functions; mean value theorems, Taylor’s formula, extreme values; indefinite integral and integral rules; Riemann integral and fundamental theorem of calculus; L’Hospital’s rule; improper integrals.

PHYS 101 – General Physics I
Credits: 3
Co requsitie: Must be taken with PHYS 101L
Physical quantities; rectilinear motion; motion in two and three dimensions; Newton’s laws of motion; work and energy; momentum; conservation laws; collisions; rotational dynamics; gravitation; periodic motion; fluid motion.

PHYS 101L – General Phys I Lab
Credits: 1
Co requsitie: Must be taken with PHYS 101
General physics laboratory course to accompany PHYS 101. Experiments in mechanics.

COMP 125 – Programming with Python
Credits: 3
Prerequisites:
Gain a solid foundation in algorithmic thinking and structured programming, and perform basic, common computational tasks easily and efficiently. Examine the fundamentals of data storage, input and output, control structures, functions, sequences and lists, file I/O, graphics and objects.

ELEC 100 – Introduction to Electrical and Electronics Engineering
Credits: 3
Prerequisites:
A Brief History of Electrical and Electronics (EE) Engineering, overview of EE curriculum and tracks, overlaps of tyracks and current applications, description of signals and frequencies, presentation of some subjects by experts such as Signal Processing,

MATH 107 – Introduction to Linear Algebra
Credits: 3
Prerequisites:
Vectors; matrices and systems of linear equations; vector spaces; linear maps; orthogonality; algebra of complex numbers; eigenvalue problems.

MATH 203 – Multivariable Calculus
Credits: 3
Prerequisites: MATH. 106 or consent of the instructor
Functions of several variables; partial differentiation; directional derivatives; exact differentials; multiple integrals and their applications; vector analysis; line and surface integrals; Green?s, Divergence and Stoke?s theorems.

PHYS 102 – General Physics II
Credits: 3
Prerequisites: PHYS. 101 or consent of the instructor and must be taken with PHYS 102L
Electric charge and electric field; Gauss’s law; electric potential; dielectrics; electric circuits; magnetic field and magnetic forces; sources of magnetic field; electromagnetic induction; electromagnetic waves.

PHYS 102L – General Physics II Lab
Credits: 1
Co requisite: Must be taken with PHYS 102
Electric charge and electric field; Gauss’s law; electric potential; dielectrics; electric circuits; magnetic field and magnetic forces; sources of magnetic field; electromagnetic induction; electromagnetic waves.

ELEC 201 – Signals and Systems
Credits: 4
Prerequisites: MATH 106 and MATH 107
Introduction to discrete and continuous time signals and systems. Time-domain signal representations, impulse response of linear time-invariant (LTI) systems, and convolution. Frequency domain signal representations, frequency response of LTI systems, and Fourier analysis. Filtering of continuous and discrete time signals. Sampling and discrete time processing of

ELEC 204 – Digital Design
Credits: 4
Prerequisites:
Computer technology, digital hardware, boolean algebra, logic functions and gates, canonical forms, simplification of boolean functions, Karnaugh maps, number systems, conversions, complement arithmetic, adders, multiplexers, tri-state outputs, decoders, encoders, sequential logic, flip-flops, sequential circuit analysis,

MBGE 200 – Introductory Biology
Credits: 3
Prerequisites:
Principles of biochemistry; molecular and cell biology. General introduction to cell structure and function. Genetics, bioenergetics, anatomy and physiology; introduction to biotechnology.

ELEC 204 – Digital Design
Credits: 4
Prerequisites:
Computer technology, digital hardware, boolean algebra, logic functions and gates, canonical forms, simplification of boolean functions, Karnaugh maps, number systems, conversions, complement arithmetic, adders, multiplexers, tri-state outputs, decoders, encoders, sequential logic, flip-flops, sequential circuit analysis, sequential circuit design, registers and counters, memory and programmable logic, central processing unit. A design project.

MBGE 200 – Introduction to Biology
Credits: 3
Prerequisites:
Principles of biochemistry; molecular and cell biology. General introduction to cell structure and function. Genetics, bioenergetics, anatomy and physiology; introduction to biotechnology.

MATH 204 – Differential Equations
Credits: 3
Prerequisites: MATH. 107 or consent of the instructor
First order differential equations. Second order linear equations. Series solutions of ODE?s. The Laplace transform and applications. Systems of first order linear equations. Nonlinear equations and systems:existence, uniqueness and stability of solutions. Fourier series and partial differential equations.

ELEC 202 – Ci̇rcui̇ts
Credits: 4
Prerequisites: MATH 106 and MATH 107
DC Circuits, Basic Concepts, Basic Laws, Methods of Analysis, Circuit Theorems, Operational Amplifiers, Capacitors and Inductors, First-Order Circuits. AC Circuits: Sinusoids and Phasors, Sinusoidal Steady-State Analysis, AC Power Analysis, , Magnetically Coupled Circuits, Applications of the Laplace Transform, Frequency Response, Bode plots

ELEC 206 – Electromagnetism
Credits: 3
Prerequisites: PHYS. 102 and MATH. 203
Review of vector calculus; electrostatics, Gauss’ law, Poisson’s equation, dielectric materials, electrostatic energy, boundary-value problems; magnetostatics, law of Biot and Savart, Ampere’s law, magnetic forces and materials, magnetic energy; electromagnetic induction; Faraday’s law; Maxwell’s equations, Poynting’s theorem.

ENGR 200 – Probability and Random Variables for Engineers
Credits: 4
Prerequisites: MATH. 106 or consent of the instructor
Introduction to probability, sets, conditional probability, total probability theorem and Bayes rule; Independence, counting; Discrete random variables, functions of random variables, expectation, mean and variance; Continuous random variables, probability density functions, and cumulative distribution functions; Multiple random variables; Sums of random variables; Limit theorems; Covariance and correlation; Introduction to Stochastic Processes

ELEC 230 – Programming for Engineers
Credits: 3
Prerequisites: COMP 130
Engineering problem solving and design using C/C++ programming languages. The course will cover concepts of C/C++ programming languages, including variables and functions, pointers and memory addressing, arrays, objects and classes, followed by examples in numerical methods, engineering analysis and design problems.

ELEC 291 – Summer Practice I
Credits: 0
Prerequisites: ELEC 100 and ACWR 101
A minimum of 20 working days of training in an industrial summer practice program after the completion of second year. The training is based on the contents of the “Summer Practice Guide Booklet” prepared by each engineering department. Students receive practical knowledge and hands-on experience in an industrial setting.

ELEC 301 – Systems, Control&communication
Credits: 3
Prerequisites:
Review of the frequency concept; analysis of circuits as linear systems, frequency response of circuits; introduction to communication systems, analog/digital modulation and demodulation; analog amplitude, frequency and phase modulation; digital amplitude shift keying, frequency shift keying and phase shift keying; review of bilateral and unilateral Laplace transform; introduction to z-transform; introduction to analog and digital control systems, first and second order systems, stability of closed-loop systems; root-locus method; frequency-domain methods and bode plots.

ELEC 310 – Microelectronic Circuits and Devices
Credits: 4
Prerequisites: ELEC 201 and ELEC. 202
Introduction to semiconductors and semiconductor device physics. Diode, bipolar junction transistor, and MOS field effect transistor circuit models for design and analysis of electronic circuits. Analysis and design of single and multistage amplifiers. Amplifier operating point design. High frequency and low frequency response of single and multistage amplifiers. Introduction to integrated-circuit amplifiers.

ELEC 391 – Summer Practice II
Credits: 0
Prerequisites: ELEC 291
A minimum of 20 working days of training in an industrial summer practice program after the completion of third year. The training is based on the contents of the “Summer Practice Guide Booklet” prepared by each engineering department. Students receive practical knowledge and hands-on experience in an industrial setting.

ELEC 491 – Electrical and Electronic Engineering Design I
Credits: 4
Prerequisites: ELEC.310 and ELEC.304 and ELEC.316 OR ELEC.310 and ELEC.301
A capstone design course where students apply engineering and science knowledge in an electrical-electronics engineering design project. Development, design, implementation and management of a project in teams under realistic constraints and conditions. Emphasis on communication, teamwork and presentation skills.

SCEN Group (At least 2 of the below courses)

CHEM  100 – GENERAL CHEMISTRY FOR HEALTH SCIENCES
Units: 3.00
Basic concepts and important topics in chemistry that are needed to establish a strong foundation in health sciences will be covered. Topics to be covered include: Matter, methods and measurements, chemical reactions, stoichiometry, chemical compounds; atomic structure, atomic spectroscopy and periodic properties; chemical bonding; gases, liquids, solids and solutions; acid-base equilibrium, buffer solutions; oxidation-reduction reactions; chemical kinetics; electrochemistry; nuclear chemistry.

CHEM  103 – GENERAL CHEMISTRY
Units: 3.00
Atomic and molecular structure, spectroscopy, stoichiometry, chemical thermodynamics, electrochemistry, structure and properties of materials.

MBGE  309 – GENOME ANALYSIS & BIOINFORMATICS
Units: 3.00
Prerequisite: MBGE 101 or MBGE 200 or CHBI 300
Comprehensive introduction to the field of genomics and bioinformatic tools necessary for analyzing and interpreting genomic data. Collection and storage of sequence information. Investigation of complex biological processes using genomic data at various levels (DNA, mRNA and protein). Next generation sequencing technologies and sequence data formats, assembly and mapping of raw sequence data, gene prediction and annotation, transcriptomics, functional genomics, genome evolution, genome-wide profiling, phylogenomics and population genomics.

MATH  103 – INTRODUCTION TO ABSTRACT MATHEMATICS
Units: 3.00
Sets; logic and implications; proof techniques with examples; mathematical induction and well-ordering; equivalence relations; functions; cardinality; countable and uncountable sets.

MATH  303 – APPLIED MATHEMATICS
Units: 3.00
Prerequisite:  MATH. 204 or consent of the instructor
Review of vector calculus; Fourier series and Fourier transform; Calculus of functions of a complex variable.

MATH  304 – NUMERICAL METHODS
Units: 3.00
Prerequisite:  MATH. 107 or consent of the instructor
Solutions of nonlinear systems and unconstrained optimization problems; direct methods for linear systems; eigenvalue problems; polynomial interpolation; least squares problem; numerical differentiation and integration; methods for the initial value problem; Fourier transform.

MATH  305 – NUMERICAL ANALYSIS
Units: 3.00
Prerequisite:  MATH. 107 or consent of the instructor
Fixed point iteration and Newton’s method for nonlinear equations, direct solution of linear systems and the least squares problem, symmetric positive definite and banded matrices, systems of nonlinear equations, the QR algorithm for the symmetric eigenvalue problem, Lagrange and Hermite polynomial interpolation, polynomial approximation in the infinity norm and the Chebyshev polynomials, approximation in the 2 norm and the orthogonal polynomials, numerical differentiation, Newton-Cotes and Gaussian quadratures for numerical integration.

MATH  320 – LINEAR ALGEBRA
Units: 3.00
Prerequisite:  MATH. 107 or consent of the instructor
Finite-dimensional real and complex vector spaces, bases of a vector space, linear maps, dual spaces, quadratic forms, self-adjoint and unitary transformations, eigenvalue problem, canonical form of a linear transformation, tensors, and applications.

MATH  401 – COMPLEX  ANALYSIS
Units: 3.00
Prerequisite:  MATH. 301 or consent of the instructor
Complex numbers and functions; exponential and trigonometric functions; infinite series and products; limits, continuity and derivatives of complex functions; Cauchy’s theorem; Taylor and Laurent series; conformal mapping.

MATH  404 – GRAPH THEORY
Units: 3.00
Fundamental concepts in graph theory; trees; matchings in graphs; connectivity and planarity; the colorings of graphs and diagraphs; Hamilton cycles; matroids.

MATH  407 – COMBINATORIAL ANALYSIS
Units: 3.00
Problems of enumeration, structure, and optimization in such finite or discrete systems as graphs, matroids, partially ordered sets, lattices, partitions, codes and block designs.

MATH  408 – GAME THEORY
Units: 3.00
Games in extensive form; pure and behavioral strategies; normal form, mixed strategies, equilibrium points; coalitions, characteristic-function form, imputations and solution concepts; related topics and applications.

PHYS  201 – MECHANICS
Units: 3.00
Prerequisite: (PHYS. 101 and MATH. 204) or consent of the instructor
Review of vectors and matrices, orthogonal transformations; numerical simulations and animations of mechanical systems, kinematics and dynamics of particles; Newton’s laws of motion; conservation laws; oscillations; central forces; orbits and scattering in a central force field; planetary motion; non-inertial reference frames; potential theory; the two-body problem.

PHYS  205 – GENERAL PHYSICS III
Units: 4.00
Prerequisite: PHYS. 101 or consent of the instructor
Periodic motion, fluid mechanics, mechanical waves, sound and hearing, temperature and heat, thermal properties of matter, the first law of thermodynamics, the second law of thermodynamics. Lab component.

PHYS  206 – GENERAL PHYSICS IV
Units: 4.00
Prerequisite: PHYS. 102 or consent of the instructor
The nature and propagation of light, geometric optics and optical instruments, interference, diffraction, relativity, photons electrons and atoms, the wave nature of particles, quantum mechanics, atomic structure, molecules and condensed matter, nuclear physics, particle physics and cosmology. Lab component.

PHYS  403 – SOLID STATE PHYSICS
Units: 4.00
Prerequisite: PHYS. 102 or consent of the instructor
Elementary crystal structure; the reciprocal lattice; lattice dynamics and phonons; thermal properties of materials; electron gas; Fermi-Dirac statistics and the Fermi surface; band theory, semiconductor physics and properties, semiconductor devices.