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Our Mission

Promote equal opportunities in Israeli society through education and professional training and to increase productivity in Israeli industry, in general, and in traditional industry, in particular.

Assessment of Undergraduate Programs

Courses offered in English during the spring semester:

Software Engineering

  • Data Mining and Machine Learning

    Academic hours: 39
    The course deals with Machine Learning concepts. Among other topics, the course covers major models in the field: Supervised Learning, Reinforcement Learning, Unsupervised Learning. Students will also be exposed to linear models like: SVM, Rule Learning and Distance Base Models.


  • Game Theory

    Academic hours: 39
    Game theory deals with the analysis of strategic situations which involve players with conflicting goals and attempts to answer questions such as what is the best strategy for each participant and how to predict the outcome of a given game. The purpose of the course

    is to review a variety of topics related to the encounter between three areas: economics, game theory and computer science. The course will include lectures that develop the relevant theory and discuss the related practical applications. The course begins with a short introduction to game theory. We will then review a variety of of classic topics and contemporary issues.


  • Seminar in Randomized Algorithms

    Academic hours: 39
    Randomized algorithms are algorithms which use
    randomness for making certain decisions. Randomized
    algorithms are in use in all fields of computer science
    and software engineering, and they often allow us to
    solve certain problems simply and efficiently.
    The course consists of two main parts: In the first part,
    the lecturer will give several introductory lectures on
    the subject. In the second part, the students will be
    given relevant literature and, under the guidance of the
    supervisor, will present it to the class.


  • Introduction to Artificial Intelligence

    Academic hours: 39
    The course will provide an introduction to the fundamental concepts techniques of Artificial Intelligence. The basic idea of Agents, and Multi Agent Systems in a wide range of decision making. Topics covered in the course include: problem solving and search methods, logic and knowledge representation, reasoning and decision-making in uncertainty conditions, and supervised machine learning. The course combines the theoretical foundations of artificial intelligence and hands-on experience with methods, techniques and tools used to build intelligent systems.

  • Deep Learning for Computer Vision

    Academic hours: 39
    The course is an introduction to Deep learning, concepts
    and algorithms of this field of machine learning and
    its implementation using advanced modern neural
    networks. Subjects of this course: Introduction to python,
    Computer vision, neural networks, architectures, objects
    detection, visualization, image classification, and more.


  • Seminar Automata and Computability

    Academic Hours: 78
    The course introduces the classical and main
    computational models and their relation to formal
    languages. The course discusses the abilities and
    limitations of these models, and introduces the main
    computational classes. The first part of the course
    discusses the different types of automata over finite
    words: deterministic, nondeterministic and stack
    automata, and the types of languages that these models
    express – regular and context free languages. The
    second part of the course concentrates on computability
    theory, and discusses Turing machines and their variants,
    decision problems and decidable and undecidable
    languages, computational classes and reductions for
    classification of languages.


  • Android Development Lab

    Academic hours: 39
    This lab-based course will introduce you to the mobile
    software developing arena. You will get acquainted
    with of the Android OS architecture and master
    yourself on developing interactive and responsive
    UI components for mobile devices while taking into
    consideration various localization and target devices
    constraints. Among other topics, we will cover layout
    designs (declarative & imperative), fragments, inter and
    intra communication methods within/between mobile
    applications, and practice various methods to persist
    app and user data. As part of the lab evaluation, you will
    have the opportunity to design and develop your own
    application to practice and demonstrate the course

  • Information Theory

    Academic hours: 39
    This course is about how to measure, represent, and
    communicate information effectively.
    The first part of the course introduces basic concepts in
    the field. What are entropy and mutual information, and
    why are they so fundamental to data representation and
    The second part of the course focuses on applications
    of the information theory in different areas, such as
    gambling and data compression, error detection and
    error correction, channel capacity and Shannon channel
    coding theorem, stock market. Relations to probability and statistics, algebraic coding theory and neural
    networks are considered.


  • Cloud Computing

    Academic hours: 39
    Students will learn variours concepts in the area of Cloud
    Computing, including cloud models (private, public,
    hybris), and coud services (SAAS, PAAS, IAAS). We will
    discuss the implications of using cloud computing,
    from different aspects, such as the economical aspect,
    maintaing data privacy, and cloud migration. The course
    will also include practical assignments, developing
    a web-based cloud application in a commercial
    framework. The application will be implemented using
    common programmimg languages. The application will
    we deployed in a cloud environment. The course will
    also include reading assignments, where the students
    will analyze academic papers, addresing contemporary
    issues in cloud computing research.
    Completeing the course, the students will be able to
    build and deploy a cloud application, using commercial


Biotechnology Engineering

  • Bioinformatics

    Academic hours: 26
    Life sciences have become, in many aspects, information technology. The exponential growth of biological data covers all areas of Biology and Biotechnology – from DNA, RNA and protein sequences via comprehensive data on interactions between biomolecules to structures. The course aim is to teach the main concepts of computational visualization, analysis and prediction of sequence and structural biological data with a specific focus on proteins. The course will focus on presenting the field of bioinformatics tools and analysis in an applicative manner. As such, the course will include numerous topics studied at a level sufficient to apply the studied tools on new sequence and structural data of interest.


  • Advanced Technologies in Tissue Engineering

    Academic hours: 39
    Tissue engineering is a key method in the practical aspects of regenerative medicine. Due to the importance of the field, it is important to expose students to existing advanced technologies. The course deals with practical aspects of culturing and monitoring animal cells, by using advanced tissue engineering methods. The course focuses on hands-on practice. The students will be exposed to common laboratory work: medium preparation and change, cells splitting and routine culture of cell lines in the lab.

    During the laboratory work, students will practice tissue formation (cell differentiation) by using different types of cells seeded on various scaffolds\hydrogels: Alginate, Matrigel matrix™ and a unique GAG mimetic hydrogel. Cultured cells features will be examined by morphology and by Immunostaining using specific cells markers.

  • Drug Design and Development

    Academic hours: 39
    The course aim is to provide a framework of basic drug design and development, into which current and future drugs may be fitted. The difference between innovative and generic drugs will be discussed. Principles such as: methods for drug discovery, drug targets, the concept of Structure Activity Relationship (SAR) and Quantitative
    Structure Activity Relationship (QSAR) and optimization of the drug interactions with the target will be studied. Those principles will be applied in two computational laboratory exercises.


  • Bridging Classical Microbiology to the Modern World

    Academic hours: 65
    In this course we will learn topics under the subject “Microbiology”, such as selected members of microorganisms, phylogenetic and evolutionary data. We will learn about the principles of the genetic code, and molecular –biology tools, as microorganisms are model organisms for research and advancing molecular biology technologies. Furthermore, we will learn about the relationships between microorganisms and balanced environment and health, pathogenic bacteria and viruses, covered by clinical biology aspects, principles and main techniques of industrial microbiology.
    The course will also cover the complex relationships within the human body, and about the characterization of extreme microbial communities. The course will include hands-on laboratories, in which we will learn practical work-flow and techniques for diagnostic, identification, growth, and research in microbiology,
    including Problem-Base-Learning (PBL) methods how to combine principles, data, and techniques to address modern microbiology –related scientific questions.


  • Immunology

    Academic hours: 26
    Basic concepts of Immunology. The Innate and Acquired immune systems. Cells and tissues of the immune response. Antibody genetics and structure. Antibody classes and their specific functions. The T-cell receptor, its recognition of self and non-self antigens. The Major Histocompatibility Complex (MHC), its recognition of antigens and cooperation with the T-cell receptor. Humoral and cellular immunity. Cytokines. Mechanism of immune reactions against pathogens and tumor-specific antigens. Regulation of the immune response and autoimmunity.


Mechanical Engineering

  • Manufacturing Processes

    Academic hours: 39
    This course looks at manufacturing technologies from the shop floor perspective, along with professional literature, scientific/academic and trade magazines and technical databases. Students use analysis tools and decision-making methodologies to optimize production lines, and suggest manufacturing layouts and solutions for commercial/industrial systems.


  • Industrial Automation

    Academic hours: 65
    In this introductory course, students learn about automation technologies and manufacturing systems. The rationale for utilizing automation is explored, along with the advantages of both hardware and software-based automation. Laboratory experience is also included in the course.


  • Transport Phenomena Laboratory

    Academic hours: 28
    In this course the student practices knowledge related to Fluid Mechanics and Heat Transfer, with emphasis on tools and measurement techniques. The lab sessions include experiments in: flow rate and regimes, pressure drops in pipes and devices, heat transfer (conduction, convection, and radiation), pumps, wind tunnel, and heat exchange systems.

  • Strength and Materials Laboratory

    Academic hours: 39
    The aim of this course is to teach the student experimental techniques, design of experiment, correct procedures of experimental work, result analysis, and presentation of the process and results. The course includes the following topics: torsion, hardness of materials, stress and strain, bending, stress concentration, thermal treatment and aging of metals, manual and computer aided and automated geometrical measurements.

  • Advanced Materials Engineering

    Academic hours: 26
    The goal of this course is to expose the student to advanced topics of materials engineering. The student will gain knowledge and techniques for applying materials engineering principles in order to solve engineering problems and to estimate the influence of various processes on the mechanical properties of certain groups of alloys. Another important aspect of the course is to understand the connection between microstructural phenomena and mechanical behavior of materials. At the end of the course, students will present a research problem and its investigation process.

  • Biomaterials

    Academic hours: 65
    Biomaterials course is intended to introduce the students to the uses of artificial/synthetic materials in the human body for the purposes of aiding healing, correcting deformities, and restoring lost function.

    The course reviews basic concepts of chemical bond, materials structures and the resulting chemical and physical properties of metals, ceramics, polymers and composite materials.


  • Rehabilitation biomechanics

    Academic hours: 39
    The course surveys the field of rehabilitation engineering with an emphasis on human machine interface,and sensory physical and cognitive applications, while implementing existing technologies. The course reviews different rehabilitation systems and design essentials of these systems. The course provides insight to activities of daily living (ADL), and challenges of the disabled community, while reviewing the existing solutions offered. This hands-on course offers the students small scale projects intended for a real client for whome they will develop and manufacture a tailor made solution while implementing the knowledge gained during the course.

  • Introduction to Polymers and Plastics

    Academic hours: 52
    This course begins with terminology and concepts of plastics, and examines the molecular weight, structure and morphology of thermoplastic and thermoset polymers. It teaches properties of solid polymeric material and intermolecular interactions, along with evaluation methods of polymers and plastics. Polymeric elastomers and viscoelasticity analysis are also included.


  • Vibration Theory

    Academic hours: 52
    This course lays the foundation for analyzing vibrating systems and understanding some physical phenomena unique to systems undergoing harmonic excitation. The course introduces basic concepts through simple single degree-of-freedom systems. Two degree-of-freedom systems are used to introduce more complex behaviors not present in single degree-of-freedom systems, and finally expands to multi degree-of-freedom systems and introductory continuous systems. Topics of the course include: Kinematics of vibrations and harmonic motion. Unforced and forced single degree-of freedom systems motion, Steady state and transient response, Resonance, Vibration based sensors, Vibrating base and vibration isolation. Lagrange equations and their use in developing equations of motion for multi degree-of- freedom systems. Unforced and forced motion of multi degree-of-freedom systems and dynamic damping.

    Introduction to modal analysis. Introduction to vibrating continuous systems – vibrating string, longitudinal vibration in a rod, vibrating beam.

  • Introduction to Flight Mechanics

    Academic hours: 39
    The purpose of the course is to introduce the students to the aerial sciences. The course gives a background and introduction to the mechanics of flight utilizing basic tools obtained in the field of dynamics and

    fluid mechanics to introduce a complex mechanical application. Topics of the course include: Background and introduction to mechanics of flight. Basic aerodynamics: principles and foundational equations of fluid motion, various flow regimes and their classification, standard atmosphere, Introduction to airfoil theory, aerodynamic forces and moments, finite wing corrections. A survey of aeronautical propulsion methods. Performance of aerial vehicles: Straight level flight, Takeoff and landing, Climb and glide, Turns, Flight envelope.

  • Fluid Mechanics

    Academic hours: 65
    Introduction. Hydrostatics: manometers, forces on immersed bodies. Fluid dynamics: Integral conservation laws, Bernoulli equation, differential conservation Laws, Navier-Stokes and Euler equations. External flows around immersed bodies: boundary layers, potential flow, lift, drag, wing profiles. Internal flows: Laminar flow in ducts and pipes, turbulent flow in pipes. Flow measuring devices. Pumps. Dimensional analysis and similarity. Introduction to compressible flow.


  • Introduction to Mechatronic Systems

    Academic hours: 70
    This course is an overview of mechatronic systems. The students study principles of microcontroller, Microcontroller programing, Digital and analog I/O, Theory of measuring systems, Sensors for measuring: force, displacement, temperature, acceleration, etc.

    Actuators: DC brush and brushless motors, stepper motors, modeling a position control system, introduction to signal processing, design and implementation of digital position controller, and autonomous mechatronic system. The course includes a laboratory segment.


  • Engineering biomaterials and implantable devices

    Academic hours: 26
    This interdisciplinary course provides an introduction to materials used in medical applications and covers the principles of materials science and cell biology underlying the design and performance of implantable devices. The course focus is on orthopaedic and cardiovascular implants, on mechanisms underlying wound healing and tissue remodeling following implantation, and on materials variables that control implant biocompatibility and clinical performance.

    Materials-related implant failures and serious  medical device recalls are reviewed. The course uses a combination of lectures and student presentations.


  • Fundamentals of Combustion Processes

    Academic hours: 26
    Introduction. Ideal combustion: Chemical species balance. Adiabatic flame temperature. Equilibrium combustion: Gibbs function. Equilibrium condition. Equilibrium constant. Chemical kinetics: Rate equation. Chemical mechanism. Characteristic combustion time. Reactors: Constant volume reactor. Constant pressure reactor. Well-stirred reactor. Premixed flames: Flame speed. Ignition. Combustion limits. Flame holding.

    Diffusion Flames. Droplet evaporation: d-squared law. Gas turbine combustors. Internal combustion engine combustors. Rocket engines. Heterogeneous combustion.


  • Introduction to Finite Element Analysis

    Academic hours: 52
    The course objective is to teach the theory of finite elements for heat conduction and structural mechanics problems, the fundamentals of using a finite element code to solve engineering problems, including choosing a model, meshing, refining, and checking for errors. The course is aimed to enhance the understanding of the common ways in which finite elements may fail to find a valid solution, and familiarize the student with how a commercial finite element code works.



  • Strength of Materials

    Academic hours: 65
    The objective of the course is to prepare students to learn and solve problems in solid mechanics, and to prepare them for advanced studies in structural analysis and design. The students are expected to be able to analyze both statically determinate and indeterminate problems involving axial, torsional, and flexural deformations. Successful completion of this course will prepare students for further study in structural analysis and design.


  • Ceramic Materials

    Academic hours: 39
    Atomic bonding and crystal structures of ceramic materials, atomic defects, including intrinsic and extrinsic point defects and defect reactions. Binary and ternary phase diagrams in ceramic systems. Processing of advanced ceramics and glasses including solid and liquid phase sintering and constrained sintering, densification versus coarsening processes. Mechanical properties of ceramics and glasses; Statistical fracture theory; timedependent fracture; thermal shock; creep behavior, toughening mechanisms in ceramics. Ceramic materials for electro-optical applications; ceramic semiconductors.


  • Kinematics and Theory of Mechanisms

    Academic Hours: 52
    Kinematics: Motion of a point mass, Cartesian, Natural, Cyllinraical and Spherical coordinate systems and formulation of Kinematic properties in various systems. Rigid body kinematics: Simple motion, complex motion, planar motion, Instantaneous center of rotation. Motion about a fixed point, spatial free body motion. Theory
    of Mechanisms: Basic mechanisms and definitions, kinematic analysis of mechanisms – velocity and acceleration. Kinematics of gear transmissions, cam mechanisms.

  • Rocket propulsion

    Academic hours: 39
    The course explores the main features of rocket motors,  integrating a broad spectrum of scientific fields involved in the preliminary design of motors based on chemical propulsion. The course offers the student the knowledge needed to design the draft of an actual rocket motor (motor type, trajectory prediction, choice of propellant,
    combustion chamber and nozzle geometry design), according.


  • Engineering Optimization

    Academic hours: 39
    Understanding the main concepts of optimization and the benefits in using optimization in engineering design. Familiarization with different optimization methods and the way they can be used to solve various problems in the field of engineering.


  • Analytical solutions in fluid mechanics

    Academic hours: 39
    Flow in a narrow gap between surfaces subjected to flux sources is very common in the industry of desalination plants, heat transfer devices and more. The analytical solution can be achieved by the analogy to electric problems. These results will be validated by experimental tests and software. The course includes: viscus dynamic flow in the Euclidean space and apply it into a potential flow on a manifold, Poisson equation, 3 geometries of manifolds: spheres, cones and cylindrs. Conformal mapping: stereographic projection, Appolonius, rays. Boundary values conditions, sources and images and more.


  • Modeling and fabrication of Micro Mechanical Systems

    Academic hours: 39
    The course is an introduction course to the field of micro mechanical systems (also known as Micro Electro Mechanical Systems-MEMS). Micro system is characterized by it’s micro scale dimension (1 micron = 10-6 m) and by the potential of manufacturing mechanical and electronic components on the same substrate. The aim of the course is to expose the student
    to the field of modeling and fabrication of micro mechanical systems (MEMS). The course deals with applying engineering principles in order to obtain the desired mechanical and other physical properties of micro systems. The Course will consider the following subjects: Int. to modeling and fabrication of micro
    systems. Micro beams and mechanical springs that determines the mechanical stiffness of floating micro systems. Electrostatic Micro sensors and micro actuator. Piezo-electric and Piezo-resistive micro sensors and actuator. Micro Thermal sensors and actuators. Micro fabrications processes such as: lithography, deposition and etching.


  • Measuring Properties of Materials – PBL

    Most student laboratories are structured in a standard format, in which the experimental procedure are defined by a manual. Students are expected to follow instructions, as they perform the laboratory task. This course is designed as a Problem Solving Laboratory (PBL), in which the a team of students receive a task

  • Introduction to Manufacturing Processes

    Academic hours: 39
    The course gives the student basic understanding of the following subjects:

    • Practical aspects of materials engineering and their implementation.
    • Acquaintance with various manufacturing processes starting with selection and ordering materials to final product manufacturing.
    • Exposure to techno-economic considerations and production in a competitive environment.
    • Planning manufacturing operations and acceptance testing.


Applied Mathematics

  • Approximation Theory

    The course is focus on the approximation of real-valued continuous functions by some simpler class of functions, such as algebraic polynomials.

    Some of the topics that will be investigated are:

    • Chebyshev Ppolynomials
    • Least square problems
    • Projection methods
    • Interpolation (for example: Lagrange, Chebyshev, Hermite)
    • Remez’s algorithm
    • Padé approximant

    The above and more related topics will be practiced Chebfun (an open-source package for computing).



Electrical and Electronic Engineering

  • Introduction to Control

    Academic hours: 65
    The subject matter of this course encompasses the fundamental principles and relevant techniques for designing continuous-time SISO LTI control systems that satisfy practically relevant system performance specifications. Topics of the course are: introduction and foundations, Feedback control fundamentals, Loop transfer function fundamentals, Linear SISO systems, and tracking design with uncertain plants. Expected outcome of the course: The student is able to design continuous-time SISO LTI control systems that satisfy practically relevant system performance specifications in frequency domain.


  • Signals and Systems

    Academic hours: 39
    An engineer has to have a set of mathematical tools for analysis and design of systems. Systems operate on and produce signals. Therefore both are treated together in this course. The material is organized as follows: Signals (functions of time mostly); systems; differential equations with constant coefficients; LTI state equations; application of Laplace transform; feedback loops; review of fourier series; application of fourier transform.


  • Image Processing

    Academic hours: 84
    Basic properties of the human visual system. Pixel. Computer presentation of the Gray and RGB images as arrays. Creating a set of synthetic test images by using C and C++. Contrast and Brightness. Pixel-to- Pixel operations: Contrast stretch, Automatic Min-Max  contrast stretch, Histogram Equalization. Usage of LUT and pointers for fast implementation of pixel-to-pixel operations. Geometrical Transformations: scaling, rotation, affine Transform. Image registration. Median filtration. Filtration by convolution. Gaussian filter.

    Usage of FFT for Image Processing. Unsharp Masking. Edge detectors. Usage of MATLAB for fast prototyping Image Processing systems. Design and properties of digital camera. In the frames of the course, laboratory, students implement a selection of the Image Processing algorithms by using Visual Studio (C, C++, C#, .NET).


  • Micro-Processors

    Academic hours: 78
    This course provides an introduction to micro-processor based systems, inside architecture of 16 bit processor (Intel 8086). Principles of micro-processor programming in Machine Code, Assembly 8086 language and Modular programming. Principle operation of RISC and CISC processors. Programing for Windows OS, based on DLL files   Advanced architecture of modern processors “Intel 32bit”, Pentium4- dual core, Pentium– pro and inside architecture of “Intel 64”, Itanium. Fundamentals of development of a micro-processor based system, Pentium- Main Memory Organization, Virtual Memory, Paging Mechanism, Cache Memory Organization.  Principles of serial communication, RS-232, USB. Detailed studies of computer I/O and interrupt techniques, timers, parallel and serial interfaces. Laboratory activities provide the student with experience in developing the hardware and software required to incorporate microprocessors into systems in ASM86 language.    PC peripherals including – keyboard, screen, drives, serial port and mouse.


  • Real Time Digital Signals Processing

    Academic hours: 39
    Basic analog and digital signals. Examples of medical signals (ECG, EEG, EMG, ERG, PPG). “Arduino Due” board as software defined signal generator controlled by UART command. “EasyStart Kit – PIC32MX7” board as fast prototype board for RT-DSP algorithms test.

    Practical aspects of the signal’ acquisition by using ADC: pre-amplifiers, anti-aliasing filters, usage of timers and interrupts. Usage of TFT screen to present graphs of the signals and textual information. Basic DSP algorithms and their practical implementation: filtration by convolution and by using FFT, normalized correlation, autocorrelation, median filtration. In the frames of the course “Arduino Due” board and “EasyStart Kit – PIC32MX7” board are used to create working prototypes of RT-DSP systems: “Spectrum Analyzer”, “Medical signals smart monitor”, “Filtration of audio signals” and others.


  • Analog Integrated Circuits Design Lab

    Academic hours: 78
    Analog CMOS integrated circuits design focuses on the basic building blocks including current source/mirror, single stage amplifiers, differential stage amplifier. The lab experiments involve hands-on design using state of the art CAD tools. Lectures complement the experiments providing theoretical background. The course follows the design cycle: from specification definitions, through architecture selection and basic design, to fine-tuning providing precise simulations. Simulation employing CAD tools of performance parameters such as gain, frequency response, stability, voltage span, operating point, slew rate and offset. To summarize the course, the students will be given independent design tasks (mini- projects) to implement the techniques studied.


  • Operating Systems

    Academic Hours: 52
    This course is an introduction to the vast world of the Operating Systems. We will review the history and current trends in Operating Systems. Review the hardware needs. Main memory, memory cache, basic allocation schemes, disks and file systems, i/o, basic system calls, interrupts, processes. We will learn parallel computing, communication between processes, deadlocks and starvation problems. Different shells and hands-on experience in Linux, using Bash and Python scripts.


  • Power Electronics course

    Academic hours: 39
    Introduction: applications of Power Electronics. Power switches: ideal and real. Power diodes. Single phase uncontrolled rectifiers. Three-phase uncontrolled rectifiers. Thyristors. Single phase controlled rectifiers on thyristors. Three-phase controlled rectifiers on thyristors. Power transistors. IGBT. DC/DC converters. Inverters.


  • Dynamical System Modelling and Simulation

    Academic Hours: 52
    The subject matter of this course covers two distinct but interlinked areas of knowledge or expertise: dynamical system modelling and numerical simulation of dynamical systems. The students will learn to derive mathematical models by applying the ‘law of conservation’ to various common processes with lumped parameters. The students will analyse the transient behaviour of these models in a laboratory type environment, where they will use numerical simulation methods to solve a model’s non-linear state differential


  • Discrete Systems and Networks

    Academic hours: 39
    Discrete time signals and systems. Energy and power signals. Classification of digital systems: static/dynamic, time-variant/time-invariant, linear/non-linear, causal/non-causal and BIBO stable/non BIBO stable. LTI systems and convolution in discrete time. Stability and causality of an LTI system. Linear difference equations with constant coefficients. Zero Input Response (ZIR) and Zero State Response (ZSR). General and particular solutions to homogeneous difference equations. General and particular solutions to nonhomogeneous difference equations. The bilateral Z transform: definition, Region of Convergence (ROC), properties, well-known transform pairs. The inverse Z transform: definition, three methods of calculation, the importance of the ROC. Transfer function of an LTI system. Rational transfer functions, poles and zeros, pole-zero plots. Realness, stability and causality of an LTI system in Z domain. The Discrete Time Fourier Transform (DTFT): definition, properties, wellknown transform pairs, examples of application.


Industrial Engineering and Management

  • Introduction to Marketing

    Academic hours: 39
    This course covers specific aspects that put Marketing at the leading edge of the modern firm’s activities: understanding customer’s needs and designing a comprehensive approach aiming to fulfill these special needs. The students will be exposed to the basic principles, perspectives, concepts, theories and models that have been crystallized into the contemporary science of Marketing.


  • Introduction to Economics for Engineers

    Academic hours: 28
    The course introduces students to the basic concepts of microeconomics, such as scarcity and choice of factors of production, decisions of producers and consumers in competitive and monopolistic markets and governmental intervention in these markets. In addition, the course provides some basic tools for economic feasibility analysis. The course includes the following topics: Factors of Production and Production Possibilities Curve, Costs of Production and Producer’s Supply Function, Demand and Equilibrium in Competitive Markets, Monopoly, Government Intervention in Competitive Markets.


  • Human Resource Management

    Academic hours: 30
    The course will provide the knowledge and practical tools necessary for proper management of the human work force within an organization: planning, recruitment, staffing, performance evaluation systems, career development and work relations.


  • Managing and Initiating in High Technology Firms

    Academic hours: 26
    With the acceleration of technological development and increased global competition, many firms discover that the main way to create and maintain a sustainable competitive advantage is by innovation. The management of technology, innovation and Intrapreneurship within established firms is a new academic discipline, which has emerged in recent years and includes management tools and models. This course deals with the various aspects of initiating and implementing innovation in established high- tech firms: strategic, functional, organizational and behavioral. The course presents theoretical models along with practical case studies. This course aims to equip participants with state of the art methods and tools to: 1. Discover customers unmet needs through “Jobs to be done Thinking®” and more specifically applying outcome driven innovation methodology, and 2. How to transform an established firm Business model for renewed growth.


  • Accelerating Firms through Business Model Transformation

    Academic hours: 28
    Growth is a critical factor for any company; yet, it is an elusive target as most firms hit a growth plateau.

    Numerous successful companies stumbled disastrously when they tried to peruse opportunities for growth (McGrath and Macmillan, 2009). This course aims to equip students with state-of-the-art methods and tools to accelerate an established firm’s growth through business model transformation (BMT). In particular the following topics will be learned: Why most firms reach a “Growth Setback” stage; How to transform an established firm business model for renewed Growth; How to create a business model portfolio as a mean for renewing a firm growth; How to discover customers unmet needs in established markets.

  • Cross-Cultural Management

    Academic hours: 39
    The globalization process in today’s world has created cross-cultural interactions and revealed the similarity and differences between cultures. The purpose of this course is to provide knowledge and understanding of the impact of culture on management practice. Specifically, we will evaluate the effect of culture on teams’ behaviors; communication, human resource management practices; leadership and negotiation, and we will examine how to adapt proper managerial practices in different cultural setting. At the end of the course the student will: 1. Develop an awareness to cultural difference in international environment; 2. be familiar with cultural characteristics of different countries and different work settings; 3. be familiar with different managerial practices and their adaptation to the different cultural environments.


  • Cases in Industrial Engineering

    Academic hours: 39
    This course is about integrating three concepts in a real-world context: problem-solving, creativity, and modeling. Problem-solving is a critical skill to develop and nurture. Not to mention creativity that due to the increasing complexity of challenges has been becoming a necessity rather than an advantage. To fully utilize the two in a systematic way, modeling is adopted. Via realworld case studies, we will identify, formulate, analyze,
    and validate models to solve the challenges stemming from these case studies. Modeling approach will be the vehicle through which we capture the essence of the dynamics of the major problem at hand and creativity will aid in developing and soliciting innovative solutions at the various stages of the problem-solving process.
    Advanced Excel will be the platform via which these models will be developed.


  • Introduction to behavioral science

    Academic hours: 39
    Behavioral science is a branch of the science, which is concerned with the study of human behavior. Behavioral science looks at individuals and their behavior along with the behavior of societies and groups, and processes which can contribute to specific behaviors. Learning behavioral science is an important part of becoming team or project manager. More and more, professional
    and organizations are explicitly endorsing the necessity of engineers being skilled and well trained in these areas. This course will focus on human personality, motivation and other work attitudes, learning, perception, stereotypes and discrimination, burnout and stress. The theories and insights of major studies will be discussed, while emphasis their relevancy to organizations and



  • Water, wastewater and waste- Resources vs. Needs

    Academic hours: 26
    This course takes you on a journey to explore the exciting triangle of environment, water and energy in our emerging world. Lectures combined with field visits to institutions that practice these issues focus on: water management, water resources, desalination, wastewater treatment and reuse, and bio-energy production from waste, in Israel. Through field trips to various water treatment sites, the students are exposed to solutions for a better future.


  • Ecological Engineering in Daily Lives

    Academic hours: 26
    The topic of the course:

    1. Utilization of engineering knowledge in daily life, with focus on ecological doing in private
    2. Introduction of ecological devices encountered in daily
    3. Understanding the engineering principles of ecological devices encountered in the home environment.

    Among the introduced devices: Desert coolers, geothermal cooling, photovoltaic panels, natural building,  greywater systems.


  • Ethics of the Fathers

    Academic hours: 26
    Ethics of the Fathers or in Hebrew: “Pirkei Avos”, literally Chapters of Our Fathers, is a section of the Mishna, one of the most fundamental works of Jewish Oral Law.

    The Mishna was authored in the third century C.E., and discusses laws and customs of virtually all areas of Judaism, ranging from holidays, dietary laws, Temple service, marriage and divorce, and civil law. It records opinions of scholars from the five centuries preceding the Mishna’s writing. Pirkei Avos is the only section, or tractate, of the Mishna which is devoted exclusively to the ethical and moral statements of the Sages. For this reason, it is usually referred to in English as Ethics of Our Fathers. The tractate consists of six chapters.


  • Myths and Legends

    Academic hours: 26
    In this course we will explore a selection of myths and legends in text and film format. The course will discuss the development of these works over time and will consider the manner in which different cultural and critical approaches have been applied to them. We will discuss a variety of topics including: Greek and Egyptian myth (Perseus and Medusa, Osiris and Set), English legends (Robin Hood, King Arthur), historical legends (Cleopatra, Spartacus, Jack the Ripper), movie mythologies (Star Wars, Stargate, Lost), Western myths (Atlantis, The Philosopher’s Stone), and mythical creatures (Loch Ness Monster, Jersey Devil, Golem, Vampires and Werewolves, Yeti).

  • Ethics in Science and Engineering

    Academic hours: 26
    Engineers and technologists encounter ethical challenges and answer to several ethical codes on a daily basis and through all the professional stages of their career. Moreover the products and artifacts they produce have an ethical effect on the users of such articles as well as on societal moral perspectives and agreements. One purpose of this class is to study through readings (in ethical theories as well as technological reports) and discussions the basic ethical principles of engineering and the main ethical obligations and challenges that face the professional through his work in a technological industrious environment. In addition, the impact of technological artifacts on societal and personal moral and ethical perspectives and behaviors will be debated based on former examples. At the last part of the class, Students will be asked to evaluate the ethical putative outcomes of advanced and innovative technologies based on their current academic stage and former insights from the class and argue for fair ethical solution for such moral challenge. Through the course student will discuss issues of accountability, responsibility sharing, obligations, risk assessment, trust, fair access, privacy by design and ethics by design etc.


  • Study in Selected Advanced Israeli Industries

    Academic hours: 52
    This course introduces students to leading industries in Israel, stressing industries unique to the country, and those that are especially developed here. The course will cover technology, manufacturing, engineering practices and business considerations, and will include field trips to relevant plants.

  • Advancing Global Health Through Engineering

    Academic hours: 26
    This course is open to students of electrical, mechanical, software, biomedical and industrial engineering, and is designed to provide them with platforms to develop skills in interdisciplinary teamwork, lateral thinking, problem-solving, and communication with each other, health personnel, and with the community. Thus, class discussion and work in the community form an essential part of learning and assessment on the course. In addition, students are encouraged to take a broad world view in terms of the benefits to communities of functioning and well-maintained engineering projects (the bigger picture for sustainable projects) while at the same time honing memory skills and the attention to detail necessary in all engineering tasks.


  • Sustainable Development and Technology in Industry

    Academic hours: 26
    The course will present various aspects of the green building principles, and systems, and their implementation in practice. The main purpose of this course is to develop the skills and knowledge in sustainable aspects, and to develop the awareness of students to green systems in engineering and industry, such as in: software engineering, electricity and electronics, civil engineering, biotechnology and mechanical engineering. The course will provide a hands-on learning experience enabling students to apply fundamental and theoretical knowledge to real world situations.

  • Basic Hebrew

    Academic hours: 56

    Tuition: $350

    An introductory course in Hebrew for foreign students, focused on speaking and elementary communication skills.

  • Sports

    Academic hours: 2
    Tennis, basketball, table tennis, aerobics, karate, pilatis, yoga, kick-boxing, feldenkrais, chess, spinning, gym.