​APPLIED PHYSICS PROGRAM - ACADEMICS

The Applied Physics program for both M.S. and Ph.D. students aims at providing firm knowledge on basic science to comprehend the physics taking place at the nanoscale, and tools to apply this knowledge to nurture technological and scientific breakthroughs in applied physics. The program focuses on device physics, photonics and quantum electronics. Students in this program receive broad training in basic scientific concepts in condensed matter physics, electrodynamics and statistical physics. Students participate in scientific research activities that may include laboratory studies and computational modeling. Ph.D. candidates focus on original research driven to advance the boundaries of knowledge. Employability of Applied Physics graduates ranges from academic research institutions to research and development positions in high-tech industrial or entrepreneurial environments.

SUMMARY OF M.S. AND PH.D. REQUIREMENTS:

AP degree requirements.png

View Online Program GuideSee MoreCourse List & Syllabi See More

​M.S. DEGREE REQUIREMENTS:

The Master's Degree (M.S.) is awarded upon successful completion of a minimum of 36 credit hours. A minimum GPA of 3.0 must be achieved to graduate.

The M.S. degree has the following components: 

  • Assessment Test and Prep-courses (100 level courses)
  • Core Courses
  • Elective Courses
  • Graduate Seminar (non-credit)
  • Winter Enrichment Program
  • Research/Capstone Experience

Students are expected to complete the M.S. degree requirements in three semesters and one Summer Session.

It is the sole responsibility of the student to plan her/his graduate program in consultation with her/his advisor.






Master's Assessment Test

  • ​Students are admitted to KAUST from a wide variety of programs and backgrounds. In order to facilitate the design of an appropriate study plan for each individual student, all MS and MS/PhD incoming students will be required to take an assessment during orientation week. There is no grade for the assessment. The purpose of the assessment is to determine whether students have mastered the prerequisites for undertaking graduate level courses taught in the program. The Advisor uses the results of the assessments to design, if necessary, a remedial study plan with a list of courses aimed at addressing content areas that may impede a student from successful completion of the degree requirements.

    Students are encouraged to prepare for the assessment by refreshing the general knowledge gained from their undergraduate education before arriving at KAUST.

    Applied Physics Assessment Test Subjects

    Applied Physics students will be tested on the following subjects:

    • Basic Principles of General Chemistry
    • Basic Principles of Physics 
    • Engineering Mathematics
    • Linear Algebra
    • Ordinary Differential Equations


    1. Basic Principles of General Chemistry

    Topics included in the General Chemistry assessment test:

    • Physical and Chemical Properties of Matter 
    • Principles of atomic structure 
    • Periodic variation in physical and chemical properties of the elements
    • Chemical bonding: Formal charge and Lewis structure, Polarity, Molecular geometry and hybridization of atomic orbitals
    • Intermolecular forces
    • Chemical Kinetics & Equilibrium
    • Acids and bases
    • Electrochemistry
    • Stoichiometry

    Recommended References:

    Sample questions from previous tests.

    2. Basic Principles of Physics

    Topics inluded in the Principles of Physics assessment test:

    • Newtonian Physics:
      • Kinematics (motion with constant acceleration in one and two dimensions). 
      • Dynamics (Newton's Laws of motion).
      • Work-Energy theorem, potential energy and energy conservation.
      • Momentum, impulse and collisions. 
    • Electromagnetism: 
      • Electric fields, Coulomb's law, electric potential and potential energy, electric flux (Gauss's law). 
      • Direct-current circuits, resistors and capacitors is series and in parallel, theory of metallic conduction, power distribution systems. 
      • Magnetic field, motion of charged particles within uniform magnetic fields, magnetic force on current-carrying conductors, forces between parallel conductors. 
      • Electromagnetic Induction: Faraday's and Lenz's Laws, motional electromotive force, induced electric fields. 
    • Quantum Physics: 
      • The photoelectric effect.
      • Wave particle duality, probability and uncertainty.
      • Electron waves, de Broglie wavelength.
      • Atomic spectra, energy levels and the Bohr model of the atom. 
      • Wave function interpretation. 
    • Thermodynamics:
      • Calorimetry and phase changes.
      • Equations of state, molecular properties of matter.
      • Kinetic-molecular model of an ideal gas.
      • Work done during volume changes.
      • Paths between thermodynamics states .
      • Kinds of thermodynamic processes.
      • 1st law of thermodynamics and Internal Energy.
      • 2nd law of thermodynamics. Carnot cycle and entropy. 
    • Oscillations and Waves:
      • Mathematical description of a wave.
      • Energy in wave motion.
      • Speed of waves.
      • Superposition of waves.
      • Standing waves.
      • Reflection, Refraction, critical angle and total internal reflection.
      • Diffraction from a single, double slits and around objects. Interference patterns including double-slit interference. 

     

    Recommended References:

    Sample questions from previous tests.

    3. Engineering Mathematics and Basic Calculus 

    Topics included in the Engineering Mathematics assessment test:

    • Functions and Models (including graphical representation of functions)
    • Limits
    • Derivatives (including graphical and physical interpretation of derivatives)
    • Anti-derivatives and definite integrals.
    • The classes of functions used to develop these concepts are: polynomial, rational, trigonometric exponential and logarithmic.
    • Integration (by parts, substitutions, partial fractions, approximation of integrals and improper integrals)
    • Infinite sequences and series
    • Convergence tests
    • Power series
    • Taylor polynomials and series
    • Taylor's Remainder Theorem

    Recommended References:

    • Banner, Adrian. The Calculus Lifesaver: All the Tools You Need to Excel at Calculus. Princeton, NJ, USA: Princeton University Press, 2009, ISBN-13: 978-0691130880
    • Strang, Gilbert. Calculus. Wellesley, MA: Wellesley-Cambridge Press, 2010, ISBN 978-09802327-4-5
    • Zill, Dennis G., and Warren S. Wright. Advanced Engineering Mathematics. Burlington, Ma: Jones and Bartlett Learning, 2018, ISBN-13: 978-1284105902
    • Stewart, James. Essential Calculus: Early Transcendentals. Australia: Brooks/Cole, 2013, ISBN-13: 978-1133112280

    Online Recommended References:

    Calculus: Early Transcendentals by James Stewart

    Sample questions from previous tests.

    4. Linear Algebra

    Topics included in the Linear Algebra assessment test:

    • Vector spaces and linear mappings between such spaces 
    • Introduction to vector spaces 
    • Basis and dimension 
    • Rank of a matrix
    • Determinants
    • Inverse of a matrix 
    • Eigenvalues and diagonalization
    • Similarity
    • Positive definite matrices
    • Orthogonal and unitary matrices and transformations 
    • Orthogonal projections
    • Gram-Schmidt procedure 
    • Solving systems of linear equations
    • Applications of linear systems
    • Cramer's rule
    • Linear transformations
    • Isomorphism
    • Parallelepipeds

    Recommended References:

    • Linear Algebra and Its Applications, David C. Lay, Addison-Wesley/Pearson, ISBN: 978-0321385178.
    • Linear Algebra: Concepts and Methods, Martin Anthony & Michele Harvey, Cambridge University Press, ISBN:978-0-521-27948-2.

    Online Recommended References:

    A First Course in Linear Algebra, by Robert A. Beezer

    Introduction to Linear Algebra, by Gilbert Strang

    Sample questions from previous tests.

    5. Vector Analysis and Ordinary Differential Equations 

    Topics included in the ODE assessment test:

    • Direction Fields (visualize the solution(s) of an ordinary differential equation without actually solving the equation.)
    • Solving simple ordinary differential equations
    • Classification by order
    • Linearity and homogeneity
    • Autonomous differential equations
    • Asymptotic behavior
    • Equilibrium points and stability
    • Solutions by numerical schemes
    • Euler's method

     Recommended References:

    • J. Robinson, An Introduction to Ordinary Differential Equations, Cambridge University Press, ISBN: 978-0521533911.
    • J. Polking, A. Boggess, D. Arnold, Differential Equations with Boundary Value Problems, Pearson, ISBN: 978-0131862364.
    • M. Tenenbaum, H. Pollard, Ordinary Differential Equations, Dover Publications, ISBN:  978-0486649405.
    • J. Robinson, Differential Equations, Cambridge University Press, ISBN: 978-0521533911.

    Online Recommended References:

    Elementary Differential Equations with Boundary Values Problems, by William F. Trench

    Sample questions from previous tests.


Core Courses

  • ​This portion of the degree is designed to provide a student with the background needed to establish a solid foundation in the program area. 

M.S. students are required to complete twelve (12) credits (4 courses) with success to fulfill the core course requirements. The required courses are

    EE 221 – Electromagnetic Theory

    MSE 225 - Electronic Properties of Materials 

    AP 220 – Statistical Physics

    AP 228 – Advanced Quantum Mechanics 

    Individual courses require a minimum of a 'B-'to earn the course credit.

Elective Courses

  • ​The elective courses are designed to allow students to tailor their educational experience to meet individual research and educational objectives with the permission of the academic advisor. Electives can be selected from either AP or any other related program. The following list of courses contains those courses most appropriate to complete the AP degree, organized by themes. Students may select four courses from any 200 or 300 level courses. Research credits, internship credits, and IED courses will not count toward electives.

    Fundamentals in Physics

    • MSE 226 - Thermodynamics & Equilibrium Processes

    • MSE 227 - Applied Quantum Mechanics

    • AP 230 - Condensed Matter Physics

    • ME 308 - Introduction to Plasma Physics and Magneto-hydrodynamics

    Experimental Techniques and Characterization

    • EE 203 - Solid-State Devices Fabrication

    • AP 210 - Spectroscopy of Solids

    • ME 348 - Introduction to Spectroscopy and Laser Diagnostics

    • MSE 307 - Materials Characterization

    • MSE 315 - Thin Film Science and Engineering

    Materials

    • MSE 228 – Biomaterials

    • MSE 229 - Polymeric Materials

    • MSE 230 - Materials and Energy

    • MSE 311 - Soft Materials

    • MSE 313 - Functional Oxides

    • MSE 316 - Magnetic Materials

    • MSE 318 - Nanomaterials

    • MSE 320 - Solar Cell Materials and Devices

    • MSE 322 - Semiconductor Materials

    • MSE 324 – Photophysics of Organic Semiconductors

    • ME 317 A, B – Mechanics of Composite Materials and Structures

    Device Physics

    • AP 320 - Introduction to Nanoelectronics

    • AP 390 – Contemporary Topics in Applied Physics

    • EE 206 - Device Physics

    • EE 306 - Electronic and Optical Properties of Semiconductors

    Optoelectronics and Photonics

    • EE 231 - Principles of Optics

    • EE 208 - Semiconductor Optoelectronic Devices

    • EE 332 - Optical Waves in Crystals

    • MSE 321 - Optical Properties of Materials

    Theoretical and Computational Physics

    • AMCS 201 - Applied Mathematics I

    • AMCS 202 - Applied Mathematics II

    • AMCS 231 - Applied Partial Differential Equations I

    • AMCS 331 - Applied Partial Differential Equations II

    • AMCS 252 - Numerical Analysis of Differential Equations

    • AMCS 255 - Advanced Computational Physics

    • CS 229 – Machine Learning

    • AP 330 - Many-Body Theory in Condensed Matter

    • MSE 314 - Ab-initio Computational Methods

    • AMCS 353 - Advanced Topics in Wave Propagation

    • ME 305 A, B – Computational Fluid Dynamics

    • ME 319 A, B – Computational Solid Mechanics


Graduate Seminar

  • ​All students are required to register AP Graduate Seminar course (AP 398) and receive a Satisfactory grade for three semesters during the MS degree to complete the degree requirement.

Winter Enrichment Program

  • ​Students are required to satisfactorily complete at least one full Winter Enrichment Program (WEP).

Research/Capstone Experience

  • ​This program only allows the M.S. thesis option:

    Designation of Academic Advisor
    The first step for students applying for thesis is to identify an M.c. academic (thesis) advisor. Students are required to select a faculty member affiliated with the program to supervise the thesis research. The list of faculty members affiliated with the AP program is available on the Applied Physics program main page, click here.
    Students may choose to do thesis research with a nonaffiliated faculty member. The potential non-affiliated academic (thesis) advisor must request the program's approval to become a project-affiliated advisor for the specific thesis project before commencing the research work.

    Thesis Credits Registration
    Students are required to complete a minimum of 12.0 credits of thesis research (AP 297). Students are permitted to register for more than 12.0 credits of M.S. thesis research as necessary and with the permission of the academic (thesis) advisor.

    M.S. Thesis Timeline and Extension
    M.S. students and their academic advisors need to define the thesis timeline at the time the thesis application is submitted. Students are expected to complete the M.S. thesis degree requirements by the end of their second fall semester (third semester). M.S. students may apply to extend into the spring semester (fourth semester) by submitting the request for extension to complete the M.S. thesis.

    Thesis Defense and Submission
    M.S. students are expected to form a thesis examination committee, submit a written thesis document, and defend their thesis to complete the thesis research requirements.

    M.S. Thesis Committee Formation
    Once the thesis is ready to be examined/defended, students have to form the thesis examination committee and set the date for the oral defense. Students are required to submit the thesis formation committee form at the beginning of the semester in which they intend to defend their thesis.

    Thesis Committee Members Selection Criteria 


    The thesis defense committee must consist of at least three members and typically includes no more than four members as:

    ​Member
    ​Role
    ​Program Status
    ​1
    ​Committee Chair
    ​Affiliated faculty member
    ​2
    ​KAUST Faculty
    ​Affiliated faculty member
    ​3
    ​KAUST Faculty
    ​Non-affiliated faculty member
    4
    ​Additional faculty or research scientist
    ​Inside or outside KAUST


    

Notes: 


    • Members 1-3 are required, member 4 is optional 

    • Member 1: committee chair must be AP faculty member or KAUST faculty member affiliated with AP program 

    • Member 2: must be AP faculty member 

    • Member 3: KAUST faculty member not affiliated with the program 

    • Co-chairs may serve as member 2, 3, or 4, but may not be a research scientist 

    • Adjunct professors and professors emeriti may retain their roles on current committees, but may not serve as chair on any new committees 

    • Professors of practice and research professors may serve as members 2, 3 or 4 depending upon their affiliation with the student's program, they may also serve as co-chairs 

    • Visiting professors may serve as member 4 



    Thesis Defense

    
An oral defense of the M.Sc. thesis is required, although it may be waived by the dean's office under exceptional circumstances. Public presentation and all other details related to the format of the oral defense are left to the discretion of the thesis committee. The oral thesis defense must be completed two weeks before the last day of classes of the graduating semester. Students must set the date of the thesis defense with the committee members by the time students submit their thesis committee formation form. 

Thesis Document 
Students must follow the KAUST Thesis and Dissertation Guidelines available on the KAUST Library website when they write their thesis. The division urges students to submit the thesis to the examining committee no later than two weeks prior to the defense. However, the committee chair sets the final requirement for the submission timeline. 



    Thesis Defense Evaluation

    Students defending their thesis will receive one of these two outcomes, pass or fail. A pass is achieved when the committee agrees with no more than one dissenting vote, otherwise the outcome is a fail. In case of a pass, students are required to send a copy of the M.Sc. thesis approval form within two days after the thesis defense to the GPC. In the case of a fail, the academic (thesis) advisor must inform the GPC immediately to take the necessary action. 


Program Courses and Descriptions

  • MSE 226 - Thermodynamics & Equilibrium Processes

    Prerequisite or Co-Requisite: MSE 200 or any AMCS Course

    The course offers a modern fundamental understanding of the main concepts and practical applications of thermodynamics in materials science. The following major topics are discussed: review of the laws of classical thermodynamics, introduction to statistical thermodynamics phase equilibria, including phase diagrams, theory of solutions, chemical reactions involving gasses and condensed matter, Elligham diagrams, surface and interfacial phenomena and thermodynamics at the nanoscale.

    MSE 227 - Applied Quantum Mechanics

    Prerequisite or Co-Requisite: MSE 200 or any AMCS Course

    Introduction to non-relativistic quantum mechanics. Summary of classical mechanics and electrodynamics. Postulates of quantum mechanics, wave functions, operator formalism and Dirac notation. Stationary state problems, including quantum wells and tunneling. Harmonic oscillator. Time evolution. Approximation methods for time-independent as well as time-dependent interactions.

    AP 230 - Condensed Matter Physics

    Prerequisite: MSE 225 This course aims at establishing solid foundations in condensed matter physics. Prior to take this class, students should be familiar with basic electronic properties of materials (such as MSE225) and standard applied mechanics (such as MSE227). Starting with the band theory of solids and tight-binding model, it covers the semiclassical theory of metals, and addresses the concepts and Bloch states, Fermi surface and quantum oscillations, as well as scattering rates, beyond the relaxation time approximation. Then, electron liquid theory is addressed and basics concepts related to electron-electron interactions are covered, including the Stoner criterion, the Ha rtree-Fock approximation, Fermi and Luttinger liquids, and charge/spin density waves. Finally, superconductors are considered, including London, Ginzburg-Landau and BCS theories.

    ME 308 - Introduction to Plasma Physics and Magneto-hydrodynamics

    Prerequisite: ME 200 ab; AMCS 201 and AMCS 202.

    Motion of charged particles; Statistical behavior of plasmas. Vlasov and Fokker-Planck equations and derivation of fluid models for plasmas; closure problem and models. Dispersive waves in plasmas. Ideal and non-ideal magneto-hydrodynamics. Exact solutions. Alfvén and shock waves in MHD. MHD instabilities.

    EE 203 - Solid-State Devices Fabrication

    Semiconductor material and device fabrication and evaluation: capacitors and field-effect transistors. Semiconductor processing techniques: oxidation, diffusion, deposition, etching, photolithography. Lecture and laboratory.

    AP 210 - Spectroscopy of Solids

    This course provides an introduction to the spectroscopy of solids. The first part covers fundamentals including, electromagnetic radiation, light sources, spectral analysis of light, and light detection. The second part will discuss light-matter interaction, covering dielectric responses of matter, transitions in the visible and near-visible spectral range, and selection rules. Finally, different spectroscopy techniques are reviewed and their application to different material classes including organic, hybrid, and inorganic materials are discussed.

    ME 348 - Introduction to Spectroscopy and Laser Diagnostics

    Prerequisite: ME 241 or ME 243 or equivalent

    Fundamentals of microwave, infrared, Raman, and electronic spectroscopy. Laser-based diagnostic techniques for measurements of species concentration, temperature, pressure, velocity, and other flow field properties. Topics: rotational, vibrational, and electronic transition frequencies; spectral line shapes and line-broadening mechanisms; nuclear spin effects electronic spectra of atoms and molecules; absorption; emission; laser induced fluorescence (LIF); Rayleigh and Raman scattering methods; Mie theory; laser Doppler velocimetry (LDV) and particle image velocimetry (PIV); applications and cases  Laser Diagnostics for Thermal Engineering.

    MSE 307 - Materials Characterization

    Prerequisite: None.

    This course will introduce the basic principles of materials characterization and the common characterization techniques available at KAUST. It will cover the following topics: Diffraction methods: basic principles, interaction of radiation and particle beams with matter, XRD, scattering techniques; Spectroscopic methods; Imaging: optical including confocal microscopy, scanning, transmission electron, scanning tunneling and field ion microscopy; Microanalysis and Tomography: energy dispersive, wavelength dispersive, Auger Processes, Electron, Ion and Atom Probe Tomography, SIMS, photoelectron spectroscopy; thermal analysis: DTA, DSC. Lab visits and demonstrations will be scheduled to the class to discuss some case studies.

    MSE 315 - Thin Film Science and Engineering

    Prerequisite: None.

    Thin films and coatings are the material building blocks of many modern and pervasive technologies ranging from electronics to optics and photovoltaics and from anti-counterfeiting to glazings and hard coatings. The fundamentals and atomistics of thin film growth are discussed in detail. Deposition techniques for thin films and coatings are presented, including physical and chemical vapor depositions, molecular beam epitaxy, atomic layer deposition and low-pressure plasma processes. Organic thin film deposition. Solution-processing and printing of inorganic and hybrid organic-inorganic thin films. Artificially structured and chemically modulated layered and nanocomposite materials. Ex-situ/in-situ characterization of thin films and coatings.

    MSE 228 – Biomaterials

    Prerequisite: None.

    This course offers a basic understanding of the concepts underlying the design and selection of materials for use in biological applications. It focuses on

    both hard and soft tissue materials. The class addresses modern topics including biosensors, surface and interface functionalization. Further topics include: A brief introduction to relevant tissue types: anatomy, biochemistry and physiology; concepts of biocompatibility, host response, material degradation, testing and selection criteria; an overview of current research on biomechanics and its relevance to prosthesis design and tissue engineering; basic concepts of drug delivery and molecular biomechanics.

    MSE 229 - Polymeric Materials

    Prerequisite: None.

    This course describes polymerization processes; polymer solutions (Flory-Huggins model and application to polymer blends); polymer chain conformations; calculation of end-to-end distribution function W(r) for short range interacting chains; rotational isomeric state scheme and temperature dependence; chain with long range interactions (excluded volume effect); radius of gyration; the crystalline and amorphous states of polymers; the glass transition (configurational entropy model); mechanical, electrical and optical properties and characterization of polymers.

    MSE 230 - Materials and Energy

    This course is intended as a review of the challenges facing materials scientists working in renewable energy and sustainability science and technology. It aims to give the student a birds-eye view of the current topics in energy harvesting and storage materials.  The potential of various energy harvesting approaches will be discussed in the context of energy needs facing the world. This will be done with particular focus on materials innovations required to improve the state of the art. After this thorough introduction, the course will discuss solar power and electrochemical energy storage in more depth.

    MSE 311 - Soft Materials

    Prerequisite: None.

    This course covers chemical and physical aspects of soft materials such as gels, polymers, lipids, surfactants and colloids; physical chemistry of soft materials; phase transformations and self-assembly; the role of intermolecular and surface forces in determining morphology and hierarchy. Membranes, catalysis, drug delivery, flexible and stretchable materials and devices.

    MSE 313 - Functional Oxides

    Prerequisite: MSE 227

    Fundamental concepts relevant to functional oxides will be reviewed, including common structures, defect chemistry and reactions, Brouwer diagrams, Ellingham diagrams, Heckman diagrams, ionic and electronic transport and tensor notation. The physics, materials, and applications for the following classes of functional oxides will be covered: linear dielectrics, ferroelectrics, multiferroics, piezoelectric, pyroelectrics, electro optics, thermoelectrics and semiconducting oxides. Selected technological applications will be reviewed including.

    MSE 316 - Magnetic Materials

    Prerequisite: None.

    This course introduces fundamental concepts in modern magnetic materials together with the electronic properties of magnetic hybrid structures. (i) Diamagnetism, para-magnetism, ferromagnetism and anti-ferromagnetism will be introduced and the microscopic origin of magnetism will be addressed (metals, semiconductors, oxides, insulators, etc.). (ii) Experimental techniques to investigate magnetism and magnetic behavior will be mentioned (X-ray dichroism, Magneto-Optical Kerr effect, etc...). (iii) Advanced applications of modern magnetic materials will be presented and the electronic properties as well as magnetization dynamics of magnetic hybrid structures will be covered.

    MSE 318 – Nanomaterials

    Prerequisite: None.

    This course describes the most recent advances in the synthesis, fabrication and characterization of nanomaterials. Topics to be covered: Zero-dimensional nanomaterials, including nanoparticles, quantum dots and nanocrystals; one dimensional materials including nanowires and nanotubes; two (2)-dimensional materials: including self-assembled monolayers, patterned surfaces and quantum well; three (3)-dimensional nanomaterials: including Nano porosity, nanocomposites, block copolymers and supra-crystals. Emphasis on the fundamental surface and size-related physical and chemical properties of nanomaterials; and their applications in bio sensing, nanomedicine, catalysis, photonics and Nano electronics.

    MSE 320 - Solar Cell Materials and Devices

    Prerequisite: None.

    This course will provide the students with an up-to-date basic knowledge of the physical and chemical principles of materials used in solar cells of various kinds including but not limited to technologies such as: 1) silicon-based solar cells, 2) CIGS, CIS and other inorganic thin film solar cells, 3) multi-junction solar cells, 4) nanoparticles and quantum dots solar cells, 5) organic and hybrid solar cells and 6) thermal and concentrator solar power generation.

    MSE 322 - Semiconductor Materials

    Prerequisite: None.

    The course covers the physico-chemical and electronic properties of advanced semiconductor materials other than Si and GaAs. The materials that will be covered include elemental semiconductors such as Ge and carbon (in the form of carbon nanotubes and graphene), compound semiconductors such as III-V and II-VI compounds, and wide-band gap semiconductors such as carbides and nitrides. Special classes of semiconductors such as oxides, chalcogenides, and polymeric semiconductors will be included. In each material category, the material processing and fabrication of select devices will be discussed including 1-dimensional and 2-dimensional devices. Measurement protocols for the devices will be presented.

    MSE 324 – Photophysics of Organic Semiconductors

    This course offers an introduction to electronic processes in conjugated organic materials nowadays used in many different optoelectronic devices such as lightemitting diodes and organic solar cells. The theoretical basics of electronic transitions and excited states (excitons) are discussed first, followed by an overview of basic measurement (spectroscopy) techniques. Furthermore, emission spectra of single molecules,ensembles, and aggregates are reviewed and basic concepts of energy transfer and photoexcitations in conjugated polymers are introduced. Finally, the course offers an overview of technological applications of semiconducting organic materials and an introduction to advanced (time-resolved) spectroscopy and data analysis techniques.

    ME 317 A, B – Mechanics of Composite Materials and Structures

    Prerequisite: ME 211a; ME 212a; ME 317b requires ME 317a.

    Introduction and fabrication technologies. Elastic response of composite materials (especially fiber and particulate reinforced materials) from the fabrication to the in-service structure. Up scaling strategies from the microstructure to the single ply: kinematic and static bounds, asymptotic expansion and periodical homogenization. Up scaling strategies from the single ply to the structural scale: elastic deformation of multidirectional laminates (lamination theory, ABD matrix). Mechanics of degradation in composite materials: fiber-matrix debonding, plasticity, micro cracking and induced delamination. Tools for description of non-linear effects: damage mechanics for laminates, applications of fracture mechanics. Aging and fatigue. Basic criteria-based theories will also be reviewed, including first ply failure, splitting and delamination. Basic experimental illustration will include: hand lay up of a simple laminate, characterization using full field measurement of its material properties.

    AP 320 – Introduction to Nanoelectronics

    This class explores quantum transport in mesoscopic devices. It addresses quantum transport in clean systems, including quantum conductance interference effects in nanodevices such as Aharonov-Bohm effects, and quantum oscillations. Properties of two-dimensional electron gases and nanowire will be discussed. The effect of disorder is discussed from Knudsen regime, including size effects, to drift-diffusion model and quantum corrections to conductance including weak and strong localization, universal conductance fluctuation. Finally, single electron transistor, Coulomb and Pauli spin blockade regimes will be presented.

    AP 390 – Contemporary Topics in Applied Physics

    The goal of this class is to enhance the student's critical thinking and methodology in research areas related to Applied Physics. This course is built on an advanced research topic considered as highly relevant for technology applications such as, but not limited to advanced memory concepts, single electron transistors, two dimensional Dirac electronics, innovative solar cells, novel laser sources etc. It covers both fundamental and applied aspects, and engages the student in examining the technological potential and limitations of scientific breakthroughs in this field. The advanced research topic depends on the teaching faculty and changes every year.

    EE 206 - Device Physics

    Structural properties of materials. Basic quantum mechanics of electrons in solids. Band theory and trap states. Charge transport, band conduction and hopping conduction. Optical properties of materials. Piezoelectric and ferro-electric phenomena. Magnetic effects in materials. Physical phenomena will be related transistors, light emitters, sensor and memory devices.

    EE 306 - Electronic and Optical Properties of Semiconductors

    The course discusses in detail the theory behind important semiconductor based experiments such as Hall Effect and Hall mobility measurement, velocity-field measurement, photoluminescence, gain, pump-probe studies, pressure and strain dependent studies. Theory will cover: Band structure in quantum wells; effect of strain on band structure; transport theory; excitons, optical absorption, luminescence and gain.

    EE 231 - Principles of Optics

    Prerequisites: basic knowledge of electromagnetic, signals and systems, and linear algebra.

    Basic principles of optics. Topics include classical theory of diffraction, interference of waves, study of simple dielectric elements such as gratings and lenses, analysis of Gaussian beams, elements of geometrical optics, Waveguides, interferometers and optical resonators. The course aims at equipping the student with a set of general tools to understand basic optical phenomena and model simple optical devices.

    EE 208 - Semiconductor Optoelectronic Devices

    Materials for optoelectronics, optical processes in semiconductors, absorption and radiation, transition rates and carrier lifetime. Principles of LEDs, lasers, photo detectors and solar cells. Designs, demonstrations and projects related to optoelectronic device phenomena.

    EE 332 – Optical Waves in Crystals

    Prerequisite: EE 233.

    Propagation of laser beams: Gaussian wave optics and the ABCD law. Manipulation of light by electrical, acoustical waves; crystal properties and the dielectric tensor; electro-optic, acousto-optic effects and devices. Introduction to nonlinear optics; harmonic generation, optical rectification, four-wave mixing, self-focusing and self-phase modulation.

    MSE 321 - Optical Properties of Materials

    Prerequisite: None.

    This course will provide the students with an up-to-date basic knowledge of the physical and chemical principles of materials used in solar cells of various kinds including but not limited to technologies such as: 1) silicon-based solar cells, 2) CIGS, CIS and other inorganic thin film solar cells, 3) multi-junction solar cells, 4) nanoparticles and quantum dots solar cells, 5) organic and hybrid solar cells and 6) thermal and concentrator solar power generation.

    AMCS 201 - Applied Mathematics I

    Prerequisites: Advanced and multivariate calculus and elementary complex variables. AMCS 201 and 202 may be taken separately or in either order. No degree credit for AMCS majors.

    Part of a fast-paced two-course sequence in graduate applied mathematics for engineers and scientists, with an emphasis on analytical technique. A review of practical aspects of linear operators (superposition, Green's functions and Eigen analysis) in the context of ordinary differential equations, followed by extension to linear partial differential equations (PDEs) of parabolic, hyperbolic and elliptic type through separation of variables and special functions. Integral transforms of Laplace and Fourier type. Self-similarity. Method of characteristics for first-order PDEs. Introduction to perturbation methods for nonlinear PDEs, asymptotic analysis, and singular perturbations.

    AMCS 202 - Applied Mathematics II

    Prerequisites: Advanced and multivariate calculus and elementary complex variables. AMCS 201 and 202 may be taken separately or in either order. No degree credit for AMCS majors.

    Part of a fast-paced two-course sequence in graduate applied mathematics for engineers and scientists, with an emphasis on analytical technique. A review of linear spaces (basis, independence, null space and rank, condition number, inner product, norm and Gram-Schmidt orthogonalization) in the context of direct and iterative methods for the solution of linear systems of equations arising in engineering applications. Projections and least squares. Eigen analysis, diagonalization and functions of matrices. Complex analysis, Cauchy-Riemann conditions, Cauchy integral theorem, residue theorem, Taylor and Laurent series, contour integration and conformal mapping.

    AMCS 231 - Applied Partial Differential Equations I

    Prerequisites: Advanced and multivariate calculus and elementary complex variables.

    First part of a sequence of courses on partial differential equations (PDE) emphasizing theory and solution techniques for linear equations. Origin of PDE in science and engineering. Equations of diffusion, heat conduction and wave propagation. The method of characteristics. Classification of PDE. Separation of variables, theory of the Fourier series and Fourier transform. The method of Green's functions. Sturm-Liouville problem, special functions, Eigen function expansions. Higher dimensional PDE and their solution by separation of variables, transform methods and Green's functions. Introduction to quasi-linear PDE and shock waves.

    AMCS 331 - Applied Partial Differential Equations II

    Prerequisites: Multivariate calculus, elementary complex variables, ordinary differential equations. Recommended: AMCS 231 or AMCS 201.

    Second part of a sequence of courses on partial differential equations (PDE) emphasizing theory and solution techniques for nonlinear equations. Quasi-linear and nonlinear PDE in applications. Conservation laws, first-order equations, the method of characteristics. Burgers' equation and wave breaking. Weak solutions, shocks, jump conditions and entropy conditions. Hyperbolic systems of gas dynamics, shallow-water flow, traffic flow and bio-fluid flow. Variational principles, dispersive waves, solitons. Nonlinear diffusion and reaction-diffusion equations in combustion and biology. Traveling waves and their stability. Dimensional analysis and similarity solutions. Perturbation methods. Turing instability and pattern formation. Eigenvalue problems. Stability and bifurcation.

    AMCS 252 - Numerical Analysis of Differential Equations

    Prerequisites: Familiarity with Taylor series, norms, orthogonal polynomials, matrix analysis, linear systems of equations, eigenvalues, differential equations, and programming in MATLAB or a similar language.

    The course covers theory and algorithms for the numerical solution of ODEs and of PDEs of parabolic, hyperbolic and elliptic type. Theoretical concepts include: accuracy, zero-stability, absolute stability, convergence, order of accuracy, stiffness, conservation and the CFL condition. Algorithms covered include: finite differences, steady and unsteady discretization in one and two dimensions, Newton methods, Runge-Kutta methods, linear multistep methods, multigrid, implicit methods for stiff problems, centered and upwind methods for wave equations, dimensional splitting and operator splitting.

    AMCS 255 - Advanced Computational Physics

    This course covers a selection of advanced topics related to computational physics. Based on prior knowledge in calculus and linear algebra, the following topics are considered: Lagrangian formalism, symmetries and conservation laws, stability and bifurcation, multi-body problems and rigid bodies, linear and nonlinear oscillations, Hamiltonian formalism, canonical transformations and invariances, Liouville's theorem, discrete Lagrangian and Hamiltonian formalisms, Hamilton Jacobi theory, transition to quantum mechanics and relativity fields.

    CS 229 – Machine Learning

    Prerequisites: linear algebra and basic probability and statistics. Familiarity with artificial intelligence recommended.

    Topics: linear and non-linear regression, nonparametric methods, Bayesian methods, support vector machines, kernel methods, Artificial Neural Networks, model selection, learning theory, VC dimension, clustering, EM, dimensionality reduction, PCA, SVD and reinforcement learning.

    AP 330 – Many-Body Theory in Condensed Matter

    Prerequisite: AP 228 This course introduces techniques and concepts in many-body quantum physics in condensed matter. Fundamental theoretical tools such as second quantization, Green's function formalism, as well as Feynmann diagrams will be introduced and applied to selected topics such as weak localization, interacting electron systems, superconductivity.

    MSE 314 - Ab-initio Computational Methods

    Prerequisite: MSE 227

    Introduction into the theory and application of materials modeling techniques. Comparison of analytical and numerical methods. Introduction into basic numerical algorithms. Fundamentals of density functional theory. Band structure approaches for crystalline solids. Introduction into commercial and freeware computer packages. Advanced applications of ab-initio computational techniques.

    AMCS 353 - Advanced Topics in Wave Propagation

    This course starts from the basic linearized theory of wave phenomena: examples are chosen from electromagnetics, acoustics, elastics and other subjects and exposes the recent developments in wave propagation. The topics include : basic concepts in wave propagation; waves in layered media; scattering, transmission and reflection; waves in random media, effective medium properties, resolution analysis; applications in wave functional materials and imaging and numerical techniques in techniques in solving wave equations in heterogeneous media. Basic knowledge on eigenvalue problem, fourier transform, linear algebra, vector analysis is desired.

    ME 305 A, B – Computational Fluid Dynamics

    Prerequisite: ME 200 a, b or equivalent; AMCS 201 and AMCS 202 or equivalent; ME 305b requires ME 305a.

    Introduction to floating point arithmetic. Introduction to numerical methods for Euler and Navier-Stokes equations with emphasis on error analysis, consistency, accuracy and stability. Modified equation analysis (dispersion vs. dissipation) and Von Neumann stability analysis. Finite difference methods, finite volume and spectral element methods. Explicit vs. implicit time stepping methods. Solution of systems of linear algebraic systems. Higher-order vs. higher resolution methods. Computation of turbulent flows. Compressible flows with high-resolution shock-capturing methods (e.g. PPM, MUSCL, and WENO). Theory of Riemann problems and weak solutions for hyperbolic equations.

    ME 319 A, B – Computational Solid Mechanics

    Prerequisite: AMCS201 and AMCS202 or equivalent; ME 211 A, B or ME 212 A, B (may be taken concurrently); ME 319B requires ME 319A.

    Variational principles in linear elasticity. Finite element analysis. Error estimation. Convergence. Singularities. Adaptive strategies. Constrained problems. Mixed methods. Stability and convergence. Variational problems in nonlinear elasticity. Consistent linearization. The Newton-Rahpson method. Bifurcation analysis. Adaptive strategies in nonlinear elasticity. Constrained finite deformation problems. Contact and friction. Time integration. Algorithm analysis. Accuracy, stability, and convergence. Operator splitting and product formulas. Coupled problems. Impact and friction. Space-time methods. Inelastic solids. Constitutive updates. Stability and convergence. Consistent linearization. Applications to finite deformation viscoplasticity, viscoelasticity and Lagrangian modeling of solids.

​PH.D. DEGREE REQUIREMENTS:

The Doctor of Philosophy (Ph.D.) degree is designed to prepare students for research careers in academia and industry. 
It is offered exclusively as a full-time program.

There is a minimum residency requirement at KAUST of 3.5 years for students entering with a B.S. degree and 2.5 years for students entering with an M.S. degree. A minimum GPA of 3.0 must be achieved on all Doctoral coursework. Individual courses require a minimum of a B- to earn course credit.

​Students pursuing Ph.D. degree are required to complete the following degree requirements to earn the degree: ​

PH.D. DEGREE TIMELINE:

MSE PHD Timeline 2019.png

Designation of Dissertation Advisor

  • ​The selected Dissertation Advisor must be a full time program-affiliated assistant, associate or full professor at KAUST. To view the list of AP faculty members and faculty members affiliated with AP click here  and scroll down the page to faculty members.​​

    The student may also select an advisor from another program at KAUST. This advisor can only become project-affiliated for the specific dissertation project with program level approval. Project affiliation approval must be completed prior to commencing research.

    To select a non-affiliated faculty members for a project base affiliation the following documents must be submitted to the program's GPC for the program approval:

    • Change of Advisor Form
    • Research proposal submitted by the supervisor providing an over-all research project summary and explaining how the project relates to the student's home program.

    This application is subject to approval by the student's home project faculty members. The student and supervisor will be informed of the decision by the GPC. ​

Ph.D. Course Requirements

  • ​The required coursework varies for students entering the Ph.D. degree with a B.S. degree or a relevant M.S. degree. Students holding a B.S. degree must complete all program core/mandatory courses and elective courses outlined in the M.S. degree section and are also required to complete the Ph.D. courses below. Students entering with a B.S. degree may also qualify to earn the M.S. degree by satisfying the M.S. degree requirements; however, it is the student's responsibility to declare their intentions to graduate with an M.S. 


    Students entering the Ph.D. degree with a relevant M.S. degree must complete the requirements below, though additional courses may be required by the Dissertation Advisor. 

    Ph.D. Courses

    Ph.D. Coursework

    • Ph.D. students with a relevant M.S. degree must complete minimum of two 300-level courses, including AP 300 - Research Methodology in Applied Physics.
    • Ph.D. students with a relevant B.S. degree must complete minimum of two 300-level courses, including AP 300 - Research Methodology in Applied Physics, in addition to M.S. degree coursework requirements.

    Graduate Seminar 
    Ph.D. students are required to successfully complete four (4) semesters of the MSE Graduate Seminar. The student can achieve the passing grade by attending at least 80% of the seminar sessions scheduled in a semester.

    Winter Enrichment Program
    Students are required to satisfactorily complete at least one full Winter Enrichment Program (WEP) as part of the degree requirements. Students who completed WEP requirements while earning the M.S. Degree are not required to enroll in a full WEP for a second time in the Ph.D. Degree.

    Students entering the program with an M.S. degree from KAUST may transfer unused coursework toward the Ph.D. program requirements subject to program level approval. Students transferring from another university's Ph.D. program may receive some dissertation research and coursework credits on a case-by-case basis for related work performed at the original institution upon approval by the Dean.

Ph.D. Qualifying Exam

  • The purpose of the subject-based Qualifying Exam is to test the student's knowledge of the subject matter within the field of study. 

All students entering the Ph.D. program with a B.S. degree must take this examination within two years of their admission. Students admitted to the program with an M.S. degree must take this exam within one year.



    To complete the AP Qualifying Exam milestone, PhD student must fulfill the following requirements:

    • Take the final exam of all four (4) Core Courses from the AP curriculum. The student is not required to register to these four courses; he/she only needs to take the final exam. The student does not need to take all four final exams in the same semester. However, he/she is required to complete all four final exams within the first year after starting the PhD degree.

    • Score B+ (75%) or higher in the final exam of the four courses. This is considered the first attempt to complete the Qualifying Exam. Student is required to submit the AP Qualifying Exam Evaluation form after the final exam regardless of the outcome.

    • Score below B+ (<75%): course instructor will give another written test to the student one month after receiving the grade for the final exam. The student will be tested in the failed course(s) only. This is considered as the second attempt to pass the Qualifying Exam. Student is required to submit the AP Qualifying Exam Evaluation form after the final exam regardless of the outcome.
      • Failing the second written exam is considered as a failure to complete the AP Qualifying Exam and the student will be dismissed from the university.
      • Should the student obtain a grade above 70%, he/she may appeal the program decision by sending an appeal to Register Office. If the appeal is accepted, the student will get one last chance to complete the Qualifying Exam. The next bullet point explains the format of the Qualifying Exam after the appeal.
    • The format of the Qualifying Exam after the appeal is as follows.
      • The Qualifying Exam will be an oral exam.
      • The examiners of the four subjects will form an ad-hoc committee to examine the student.
      • The exam will include all four subjects for the first attempt regardless of the grades earned before attempting to complete the Qualifying Exam.
    • The exam will be scheduled within three months after accepting the student's appeal.

      The student is required to fill out the AP Qualifying Exam Evaluation form and collect the evaluation of all examiners on the day of the exam. Click here to download the form. The completed form must be sent to program GPC within 24 hours after completing the exam. 


Ph.D. Dissertation Proposal

  • The Dissertation Proposal Defense is the second part of the qualification milestones that must be completed to become a Ph.D. Candidate. The purpose of the Dissertation Proposal Defense is to demonstrate that the student has the ability and is adequately prepared to undertake Ph.D. level research in the proposed area. This preparation includes necessary knowledge of the chosen subject, a review of the literature and preparatory theory or experiment as applicable.

    Ph.D. students are required to complete the Dissertation Proposal Defense within one (1) year after passing the qualifying exam. The proposal defense date will be determined by student and his/her advisor.

    To complete the Ph.D. proposal milestone, Ph.D. students are required to

    1. Submit a request to Form the Dissertation Committee and present the Ph.D Dissertation Proposal.
    2. Defend Ph.D. Dissertation proposal.


    More details in the following sections

Dissertation Committee Formation for Ph.D. Proposal

  • ​Ph.D. students must submit the request to form dissertation committee & present Ph.D. proposal two weeks prior to the Ph.D. proposal defense date. Click here to download the form.


    ​The Dissertation Committee for Ph.D. propsal must consist of at least three faculty members, but no more than five members. The criteria for selecting committee members is as follows: 

    Member
    ​Role
    ​Program Status
    1​​Chair
    Within the Program or Affiliated​
    2​Faculty​Within the Program
    ​3
    Faculty​Outside the Program​
    ​4
    Additional Faculty​ or Approved Research Scientist
    Inside KAUST​
    ​5
    ​Additional Faculty​
    Inside or Outside KAUST​


    • Members 1-3 are required. Member 4 & 5 are optional.
    • Co-Chairs may serve as Members 2 or 3. 
    • Professors of Practice and Research Professors may serve as Members 2 or 3 depending upon their affiliation with the student’s program. They may also serve as Co-Chairs. 
    • Adjunct Professors, Professors Emeriti, and Research Scientist may serve as member 4 or 5.

    The Dissertation Committee must be approved by the Program Chair and the Dean.  Once constituted, the composition of the committee can only be changed with the approval of both the Dissertation Advisor and the Dean.


Ph.D. Dissertation Proposal Defense

  • ​The Dissertation Proposal Defense includes two aspects: a written research proposal and an oral research proposal defense. 

    • The written research proposal document should be 3000 words (+/- 10%).
    • The oral defense should be 1.5 hours long (30 min presentation, 60 min questions)

    Ph.D. Proposal Defense Evaluation

    There are four possible outcomes from this Dissertation Proposal Defense:

    Pass: A pass is achieved when the committee agrees with no more than one dissenting vote, otherwise the student fails.

    Pass with conditions: In the instance of a Pass with conditions, the entire committee must agree on the required conditions and if they cannot, the Dean decides. The deadline to complete the conditions is one month after the defense date, unless the committee unanimously agrees to change it.

    Fail with retake: The deadline to complete the retake is six months after the defense date, unless the committee unanimously agrees to reduce it.

    Fail without retake: In the instance of a Fail without Retake, the decision of the committee must be unanimous. Students who fail the Dissertation Proposal Defense, or who fail the retake, will be dismissed from the University.

    The Dissertation Proposal Evaluation form​ must be submitted within 48 hours after presenting the dissertation proposal.

    Upon passing the Proposal Defense, student must submit the change to Ph.D. candidate status form.​

Dissertation Defense and Submission

  • Ph.D. Dissertation Defense

    The Dissertation Defense is the final milestone of the degree. This part requires acceptance of the Dissertation and the passing of the final defense. The final defense is a public presentation that consists of an oral defense followed by questions.​

    To complete this part Ph.D. student is required to complete the following:

    • Form Ph.D. Dissertation Committee and petition for Ph.D. dissertation Defense examination .
    • Defend the dissertation and submit the results.
    • Submit Ph.D. Dissertation and the Final Approval form.

    Note:

    Students must follow the KAUST Thesis and Dissertation Guidelines available on the library website when they write their dissertation.



Petition for Ph.D. Dissertation Defense

  • Petition for Dissertation Defense Examination

    Ph.D. student is expected to declare his/her intention to defend the Ph.D. Dissertation by forming the dissertation committee and submitting the Ph.D. Petition for Dissertation Defense Examination form to the GPC. The student must submit the form to the GPC by the end of the second week of the semester the student intends to defend.

    It is advisable that the student submits her/his dissertation to committee members six weeks prior the defense date.

    Dissertation Committee

    The PhD Dissertation Defense committee for the final defense must consist of at least four members, and typically includes no more than six members. At least three of the required members must be KAUST faculty and one must be an examiner who is external to KAUST. The Chair plus one additional faculty member must be affiliated with the student’s program.

    The External Examiner must hold a Full or Associate Professor position at a university other than KAUST. The External Examiner will review the dissertation and send a report within three weeks sharing his/her recommendations and questions prior to the final defense. Beyond the External Examiner, up to two additional members can be added. All committee members must attend the final defense, by videoconference if necessary.

    Member Role & Program Status:

    ​Member

    Role​

    Program Status​

    ​1

    ​Chair

    ​Within Program

    ​2

    ​Faculty

    ​Within Program

    ​3

    ​Faculty

    ​Outside Program

    ​4

    ​External Examiner

    ​Outside KAUST

    ​5

    ​Approved Research Scientist

    ​Inside KAUST

    ​6

    ​Additional Faculty

    ​Inside or outside KAUST

     
    Notes: 

    • Members 1 – 4 are required. Members 5 and 6 are optional.
    • Co-chairs may serve as either Member 2, 3 or 6. 
    • Adjunct Professors and Professor Emeriti may retain their roles on current committees, but may not serve as chair on any new committees. 
    • Professors of Practice and Research Professors may serve as Members 2, 3 or 6 depending upon their affiliation with the student’s program. They may also serve as co-chairs. 
    • Visiting Professors may serve as Member 6, but not as the external examiner.​​​


Oral Defense and Results Submission

  • The Dissertation Defense is the final milestone of the degree. This part requires acceptance of the Dissertation and the passing of the final defense. The final defense is a public presentation that consists of an oral defense followed by questions and may last a maximum of three hours.

    Evaluation

    There are four (4) possible outcomes for Final Defense: 

    • Pass without conditions

    • Pass with conditions

    • Fail with retake

    • ​Fail without retake

    A pass is achieved when the committee agrees with no more than one dissenting vote, otherwise the student fails. 

    In the instance of a Pass with Conditions, the entire committee must agree on the required conditions and if they cannot, the Dean decides. The deadline to complete the conditions is one (1) month after the defense date unless the committee unanimously agrees to reduce it. 

    In the instance of a Fail without Retake permitted, the decision of the committee must be unanimous. Otherwise one retake is permitted. The deadline to complete the retake is four (4) months after the defense date unless the committee unanimously agrees to reduce it. Students who fail the Final Dissertation Defense or who fail the retake will be dismissed from the university.

    Ph.D. student is required to submit the Ph.D. Dissertation Defense Examination Result form to the GPC within three days after the defense examination.​

Submission of Dissertation and Final Approval Form

  • ​Dissertation Document:

    Students must follow the KAUST Thesis and Dissertation Guidelines available on KAUST Library website when they write their dissertation. The student will be contacted by Thesis Checker in the Registrar office to make sure the student is following the guidelines.

    The Writing Center provide editorial assistance to students writing their thesis. Students can book a time by sending an email to Skills Lab, skillslab@kaust.edu.sa.

    Submission of Dissertation:

    Once the post-examination corrections to the final dissertation document and the format of the dissertation are completed, the Ph.D. student must submit the final draft of the dissertation document to Turnitin through Blackboard. And, submit the Final Approval and Copyright Availability forms to GPC.

    The Student can also use the Turnitin tool in Blackboard to check the dissertation document for plagiarism.​

    Steps to submit the dissertation and run the plagiarism report:

    • Log into Blackboard.

    • Click on the course titled (“Year”_”Semester”_DISS) available on the list of Courses: Quick View.

    • Click on View/Complete under Originality-Check.

    • Fill in your information and Upload your Thesis document.

    • ​Click on Go to Assignment Inbox.

    • Click on the similarity percentage next to your Thesis Title.

    To run the report at a later time:

    • Log into Blackboard.

    • ​Click on the course titled (“Year”_”Semester”_DISS) available on the list of Courses: Quick View.

    • Click on Course Tools.

    • Click on Turnitin Assignments.

    Submission to KAUST Library:

    • The GPC will send the Turnitin Plagiarism report to the supervisor for authentication.

    • The GPC will archive the final dissertation to the library on behalf of the student once the following documents are submitted: 

    • ​​The GPC will inform the Registrar Office once the submission is confirmed by the Library. ​

​FREQUENTLY USED FORMS

Top