Linear Algebra     Taught by: Professor Ilie Corovei
Relations. Product of relations. Equivalence relations. Matrices and determinants. Laplace’s theorem. Symmetric, skew-symmetric, orthogonal determinants. vector spaces. basis of space. Direct sum. Linear transformation. Change of basis. The Euclidian space. Eigenvalues and eigenvectors. Jordan cannonical form. Operation with operators. Quadratic surfaces. The lines and planes. Plane curve. The space curve. The surfaces.

 Mathematical Analysis I     Taught by: Professor  Mircea IVAN
Elements of Logic: Statement calculus, sentential connectives, predicate calculus. Elements of set theory: sets, collections, classes, set operations. Relations. Functions. Cardinal Numbers. Elements of General Topology: Topologies, topological spaces, open sets, closed sets, neighbourhoods, interior of a set, closure of a set, limit points, exterior and boundary of a set,
density, connectedness, compactness. Metric spaces: metric, topology of a metric space, sequences in metric spaces, bounded sets in metric spaces. Sequences and series of numbers: sequences of numbers, series of numbers, convergence tests for series. Infinite products. Continuous mappings: continuous mappings on topological spaces, continuous mappings on metric spaces, contractions, continuous mappings on Euclidean spaces. Differential calculus for functions of one variable: definitions, basic differentiation formulas, mean-value theorems for derivatives, applications of mean-value theorems, Taylor's formula for real functions of one variable. Functional Sequences and Series: functional sequences, power series, trigonometric series, Fourier series. Differential calculus for functions of several variables: partial derivatives, derivative of composite functions, homogeneous functions, Euler's identity, gradient, directional derivative, Lagrange's mean-value theorem for real functions of several variables.
Differential of a function: definitions, properties, differential of functions of one variable, differential of functions of several variables, Taylor's formula for functions of several variables. Implicit functions: existence theorems for implicit functions, change of coordinates, change of variables. Extrema of the functions: local extremum of a function, conditional extrema.

 Introduction in systems and computer science  Taught by: Reader D.Isoc
Information, Information processing, Transformation, Variables, State, Time evolution,  Dynamic systems, Inputless machine, Transition, Transient processus, Systems stability, Black box, Variety, Variety transmission, Noise, Transducers, Determinist machine, System, Systems coupling, Variety transmission, Control and command. Information representation, Conversions, Computer structure, Systematic programming, Obiectual programming. Operating systems (DOS, UNIX, Novell). Software tools. Editing tools (WordPerferct). Drawing tools (DrawPerfect).

 Computer Programming  Taught by: Professor Iosif IGNAT; Assistant Professor Liviu PETRESCU
The architecture of a computational system. The elements of algorithms.  Programs' design.  The TURBO PASCAL language: the general structure of  a program, data types, declarations,  and statements in TURBO PASCAL,  functions, and procedures, recursively programs, files, pointers.

   Mechanical Engineering  Taught by: Professor V. Maties and Lecturer  D. Mandru
Introduction. Structural analysis of mechanisms. Kinematic analysis of mechanisms. The cam mechanisms. Gear mechanisms. Logic mechansisms with mechanical parts. The dynamic analysis of mechanisms. Design methods for mechanisms and mechanical systems. The mechanical structure of computer peripherals. Robotics. Elements of mechatronic engineering.
Applications. Structural analysis of mechanisms. Methods and means of calculating the kinematic parameters of mechanisms. Analysis and design of logic mechanisms with mechanical parts. Balancing the mechanisms. Calculating the efficiency of some technical systems. Design methods for the parts from the structure of machines and mechanisms.

 Physics  Taught by: Mrs. Ilioara Coroiu and Prof. Dr. Dan E.Demco
Modern topics in applied physics: quantum-physics principles. the Schrödinger equation and  application quantum statistics and Fermi level. Basic solid state physics: crystalline structures, lattice vibrations, the motion of the electron in a periodic potential energy,-band structure of solids, electronic conductivity of solids. Physics of processing, storage and transmission of information: physics of semiconductors and contact phenomena. Physical principles of semiconductor p-n junction devices. Magnetic properties of solids. Superconductivity and Josephson effect. Principles of lasers. Holography and applications in the computing systems. Nonlinear optics and principles of modulation of  light. Optical fibers: principles and applications. Optical bistability and optical computer. Physics of sensors and accuators: magnetic, piezoelectricity, thermoelectric and galvanomagnetic phenomena. Principles of optical sensors and accuators.  Physics processes in thermotehnic devices and nuclear reactors as examples for automatic control.

  Mathematical analysis II     Taught by: Professor Nicolae Vornicescu
Rieman integrals. Improper integrals. Integrals dependent on parameters. Euler’s integrals. Multiple integrals. reduction of multiple integrals to iterated integrals. Change of variables in multiple integrals. Line integrals of the first and second type. Green’s formulae. Surface integrals. Flux of a vector through an oriented surface. Divergence Gauss-Ostrrogradski theorem. Stoke’s theorem. Field theory. Scalar and vector field. Hamiltonian operator. Expressing field operations in cvasilinear orthogonal coordinates.

 Differential equations  Taught by: Professor N.Vornicescu
Differential equations of the first order. Linear equations, Bernoulli’s equations, Riccati’s equations, Clairaut’s equation, Lagrange’s equations. Exact equations and integrating factors. Homogeneous and non-homogeneous linear equations of high order. Variation of parameters. Solution in series. Method of Frobenius Bessel’s equation. Systems of linear differential equations. Symmetrical systems. Partial differential equations of the first order. Stability.

 Data Structures and Algoritms  Taught by: Professor Iosif IGNAT,  Assistant Professor Liviu PETRESCU
Computer algoritms, data structures. Lists, trees, graphs and the associated algoritms.
General methods for algorithms developing. Fundamental algoritms.

   Fundamentals of Electrical Engineering I, II  Taught by: Professor Radu V. Ciupa
Introduction to the circuit theory. Direct current circuits (Kirchhoff theorems, ideal sources, node analysis, loop analysis, Thevenin and Norton equivalent generator). Linear electric circuits in the sinusoidal steady state (dipole features, powers, linear complex electric circuits equations, resonance). Methods and theorems for the analysis of the a.c. circuits (elements of topology and graph theory, transfiguration methods). Quadripoles and filters (the physical significance of the parameters, connections, equations, equivalent circuit diagrams). Three- phased electric circuits. Non-sinusoidal steady state. The transient regime of the linear electric circuits (continuity conditions, first order circuits, second order circuits, Laplace transform, Fourier transform, state equations). Static electric fields (the electric field, equipotential surfaces, electric flux density and Gauss' Law, the Laplacian operator and Laplace's equation). Conductors and charges (general properties of materials, electric current, conductivity and Ohm's Law at a point, conductors, perfect conductors, super-conductors, induced charges on conductors and electrostatic shielding, method of images, examples). Sources of voltage (emf) and steady electric current. Dielectrics and polarisation. Capacitance, energy and forces. The magnetic field and magnetic force in free space (the magnetic force between two current elements and between two moving charges, magnetic field from a wire loop, in a solenoid and toroid, motors and generators). Ampere's law, inductance and energy in magnetic field (magnetic flux and flux density, magnetic field strength, inductance , energy stored in an inductor, in a magnetic field). Magnetic materials, magnets and superconductors. Applications of magnetism (eddy current losses, magnetic circuit with air gaps, electromagnets, the transformer, self-inductance and
mutual inductance). Maxwell's equations. Electromagnetic waves and propagation of energy. Reflection of e.m. waves. Transmission lines.

 Special Topics in Mathematics  Taught by: Professor I.Gavrea
Complex numbers: sequences and series of complex numbers; curves and domains in the complex plane: continuous functions of complex variable; the function arg z. Differentiable functions: the Cauchy-Riemann equations; the geometric  interpretation of the derivative; Cauchy’s integral theorem; power series; the inverse function integral depending on a parameter. The Laurent series; isolated singular points of single-valued functions; Liouville’s theorem. The concept of an analytic function. The function ln z, za. Branch points of analytic functions. Residues and their applications: residue theorems; use of residues for evaluating definite integrals. Operational calculus: basic properties of the Laplace transformation; reconstructing object function from result function; solving linear differential equations via the Laplace transformation. Fourier transformation. Z transformation. Equations of Mathematical  Physics: the notion of a partial differential equation and its solution. The Laplace equation, hyperbolic partial differential equations. Parabolic partial differential equations.

   Electronic Devices and Circuits  Taught by: Professor Serban Lungu
RC circuits. Bode diagrams. Switching circuits with diodes. Zener diodes regulators. Operational Amplifiers as amplifier. Operational Amplifiers as Comparators. Bipolar Transistors. MOS FET. Feedback circuits. Power Amplifiers. Voltage regulators. Multivibrators. Sinusoidal oscilators. Functions generators.

 Programming Techniques  Taught by: Dr. Ioan Salomie, Serioja Sidorov
Abstract Data Types. C language elements. OO programming concepts and paradigms.  C++ terminology and support for OO programming: classes, constructor, destructor, copy- constructor, reference Function and operator overloading, assign, indexing and function call operators. Iterators Programming techniques with classes and objects. Linear classes and objects: list, stack, queue. Nonlinear classes and objects: trees and graphs Object Oriented Programming Techniques: inheritance, generalization, specialization  Virtual Functions and dinamic binding. Heterogeneous collection processing  Template techniques. Generic algorithms and programming.

   Digital Circuits  Taught by: Senior Lecturer Ioan Nascu
Analysis methods for digital circuits. Switching characteristics of semiconductor devices. Digital integrated ciruits TTL. Digital integrated ciruits CMOS. Semiconductor memory units. Digital integrated ciruits applications. CAD methods for the discrete circuits design.

   Databases  Taught by: Senior Lecturer Ovidiu Pop
Data and information. Data models. Languages for databases: relational algebra, relational calculus. QBE language. SQL language. Normal relations. The optimization of queries. Concurrent operations with databases: the Lock and Unlock primitives. Databases management. Databases planning and design. Sorting and queries. Control statements, functions. SQL. Menus, screens, reports.

   Systems Theory I,II  Taught by: Senior lecturer Petru Dobra
Continuous-time systems: convolution and impulse response. Definition and analysis of transfer function and matrices: order, poles, zeros and transmission zeros. Closed-loop systems. Root locus analysis. Block diagram algebra. System classification. State-space representations for SISO and MIMO systems. Controllability and observability. Stability: Routh array and Lyapunov function. Frequency response of dynamical systems, graphical representation of gain and phase data.
Nyquist stability criterion, gain margin and phase margin. Bode diagrams. Open-loop to closed-loop transformations. Time delays. Design examples. Definition the standard problem for robust control. Stability theory. Coprime factorization.
State-space properties of normalized coprime factors. Internal Stability. Closed-loop stability results. Robust stability analysis. Frequency domain uncertainty analysis. Robust stabilization problem. Nominal performance problem. H(infinity) problem specification. Linear discrete dynamic-systems analysis. Sampled data systems. Discrete equivalents to continous transfer functions. State-space form. State-space models for systems with delay. Controllability and observability of discete time systems. The direct method of Lyapunov and discrete-time autonomous systems. Lyapunov's stability theorem. Stability of linear systems.

   Sensors and Transducers  Taught by: Professor N.D. Dragomir
Transducers. Classification criteria. Main nonelectrical measuring sizes: displacement, level, thickness, deformation and unitary
efforts, pressure, flow, temperature, photometric sizes, material sizes, biological sizes. Analogical and numerical transducer types: resitive, capacitive, inductive, hall, photoelectric, with optical fibers, quartz, Seebeck effect for each nonelectric measuring size. Theoretical and design problems. measuring errors computation. Block schema of design. Time diagrams of signal, frequency response of dynamical systems. Applications in robotics. Principles of the use of computer aided design software.

   Computers Architecture Taught by: Senior Lecturer Gheorghe Sebestyen
Introduction. Computers history. Information representation. Digital circuits. Computer structure. Central processing unit. Instruction execution. General registers. Arithmetics units. Control unit - structure and design. Memory  unit - classification, structure, management, design. Input/ output system.

   Electrical Machines  Taught by: Mr.A.Forrai and Professor I.A.Viorel
Electrical machines construction basics. The magnetic fields and induced e.m.f. Two axis and vectorial mathematical model. Parameter definition and estimation. Steady-state operation. Dynamic operation and machine's control. Control strategy of electrical machines working in fully controlled drive systems.

   Power Electronics in Automatic Control  Taught by: Professor Clement Festila
The switching operation in power electronics: advantages and drawbacks. The power electronic devices: description, the switching behaviour, control, safety problems (bipolar/MOS transistor, thyristors, IGBTs) Solid state relays. A.C. voltage controllers and d.c. choppers.  Power rectifiers. Inverters. DC/DC converters. Power factor corection circuits.

   Microprocessors Systems  Taught by:  Senior Lecturer Gheorghe Sebestyen
Microprocessor based central processing units. Microcomputer structure. The microprocessor internal structure. Instruction format and instruction execution. Addressing mode. Instruction set and assembly language. Programming techniques. Operating system functionality. Memory management. Programable interfaces. Interupting system. Direct memory access system. Computer networks. Graphical user interfaces. Distributed resources management.

   System Identification.  Taught by: Reader D.Isoc
The identification processus, Models, Linear regression, Non-parametric models, Non- parametric identification approaches, Input signals, Re-parametrizations, Parametric models, Parametric identification approaches, Identification of closed loop systems, Recursive identification methods, Model validation, Praxis of identification. More details: English, Romana.

   Control Engineering I, II  Taught by: Professor Clement Festila and Assist. Adela Merloi
Continuous systems.
Control system design by using the pole-zeros location. Common compensator design in Bode plots. Controllers design by optimal methods. "Quasioptimal" design methods (Kessler). Feedforward structure, multiloop structure, controllers design methods.  Discontinuous controllers: relay controllers, three-step controllers, quasicontinuous controllers. Design of matrix compensators by state feedback and output feedback. Observers  design.

Discrete systems.
Discretization of continuous processes. Discrete compensator design by pole-zeros placement. Dead-beat controllers design. Dahlin methods. Kalman methods. Design of matrix compensator by state feedback  and output feedback.

   Electric and Electronic Control Equipment  Taught by: Senior Lecturer Ioan Nascu
Basics of electronic control equipment technology. Conventional electric and electronic control  equipment. Control-room transmitters. Indicators and recorders. Relay modules. Industrial controllers. Industrial control systems. Operating and visualisation units. Central monitoring and data acquisition systems. Proces management systems.

   Optimization Techniques  Taught by: Lecturer Paula Raica (English), Lecturer Mihaela Cistelecan (Romanian).
The course covers the basic concepts, techniques, and tools related to optimization and optimal control for dynamical systems. Major topics include clasical theory of maxima and minima, single variable search techniques, multivariable optimization procedures, calculus of variations, minimum principle, dynamic programming. Both continuous systems and discrete time systems are addressed. More details: English group, Romanian group.

   Hydraulic and Pneumatic Systems Taught by: Professor Gh.Lazea, As. R.Robotin, Prep. S.Herle
Pneumatic and hydraulic devices and circuits fundamentals. Analog pneumatic controllers, transducers, drives. Discrete pneumatic devices. Design of automatic control loops with discrete pneumatic devices. Continuous and discrete hydraulic devices. Electro-hydraulic and electro-pneumatic interfaces (converters, data acquisitions equipments). Auxiliary equipments in a pneumatic /hydraulic control loop. Position, speed or force pneumatic/hydraulic control systems. Applications of pneumatics and hydraulics in robotics and transports systems. Versiunea in limba romana.

   Peripheral Devices and Process Interfaces  Taught by: Senior lecturer Honoriu Valean
Introductory-peripheral devices, process interfaces; Information transfer methods-program, interrupts,D.M.A.; Process interfaces-Serial  and parallel interfaces, A/D- D/A channels, Numeric signals I/O channels; Video devices-Image, Video controllers, Video adapters; Printers; Hard, Floppy and Optical drives; Input devices; Network adapters; Image acquisition.

   Technological Design of Control Systems  Taught by: Professor M.Chindris
Technical documents of a control system project. Written documents. Drawn documents. Control system supply circuits. Electric cables. Overload and fault protection. Design of supply circuits. Design of temperature control systems. Loops based on metallic resistance thermometers. Loops based on thermocouples. Systems with other temperature sensors. Design of pressure control systems. Loops based on vacuum gauges. Loops based on force- balance instruments. Design of level control systems. Loops based on float method, differential-pressure method, capacitance method and resistance method.
Design of flow control systems. Loops based on head-type devices, target flowmeters, rotameters and magnetic flowmeters.
Design of variable speed systems.

   Data Transmission  Taught by: Senior lecturer Adina Astilean
Information sources; statistical parameters of discreet sources. Communication channels; discrete channels, statistical parameters; information transmission through noiseless and noisy channels. Channel coding; linear block codes; convolutional codes. Bandpass modulation and demodulation; modem. Data compression; rate-distorsion function. Rate-distorsion theorem application for data compression. Linear prediction algorithms. Encryption and decryption. Synchronization. Multiplexing and multiple access.

  Real-Time Applications  Taught by: Assoc.Professor Tiberiu Letia
Introduction, transformational and reactive systems, real-time operating systems, real-time programming languages, specification and verification, design, task cooperation, performance measurement and evaluation, fault  tolerant systems.
 
   Distributed Control Systems  Taught by: Assoc.Professor Tiberiu Letia
Introduction, time in distributed systems, synchronous and asynchronous distributed processing systems, distributed control systems design, naming, communication, implementation of real-time distributed systems, resource management, dead locks, fault tolerant distributed systems, algorithms for distributed control systems, examples of distributed control systems.

   Reliability and Diagnosis  Taught by: Assoc. prof. Liviu Miclea
Reliability and maintainability. Fault sources and models. Testing process.  Combinational and sequential system testing. Checking experiments. RAM, PLAs and microprocessor testing.  Fault simulation. IDDQ testing. Overview of fault-tolerant computing. Testability measures. Design for testability; IEEE 1149.x standards. Self-testing circuits and systems. Mixed-Signal
Testing. Reliability testing.

  Application-Oriented Software Environments  Taught by: Assoc. prof. Liviu Miclea
Details.

   Nonlinear and Stochastic Systems  Taught by: Senior lecturer Petru Dobra
Types of Nonlinearity. Aspects of nonlinear behaviour. Linearization. Equilbrium points. Limit cycles. Strange attractors and chaos. Describing functions. Oscilations in feedback systems. Variable-structure systems. Tsypkin's method for relay systems. Lyapunov's methods. Unstable equilibrium points. Feedback system stability. Absolute stability. Bounds on system variables.
The exponential-input describing function. Adaptive control. Stochastic optimal control and estimation. Stochastic process characterization. Response of linear continuous and discrete-time systems to white noise. Optimal regulator for stochastic
systems. Optimal estimator for stochastic systems. Duality with LQR.

   Thermal and Chemical Plant Control  Taught by: Professor Tiberiu Colosi;  Senior lecturer Ioan Nascu
Graphical symbols for control loops in industrial thermal and chemical plants. Flow control, pressure control, temperature control and chemical concentration control. Evolved control systems: cascade, combined, with direct numerical structure.
Heat-exchangers control: countercurrent heat exchangers, cocurrent heat exchangers. Tubular furnaces control.  Separation units control. Chemical reactors control: tubular reactors, stirrred tank reactors. Control principles for steam drum boylers: combustion, thermal load, combustion air, feedwater,  steam temperature and gas absorption units. Control principles for excitation systems of the synchronous generators. Frequency and active power control in power plants. Voltage and reactive power control in power plants.

   Discrete Event Systems  Taught by: Assoc.Professor Tiberiu Letia, Senior lecturer Adina Astilean
Introduction, definitions and characteristics, input-state-output descriptions, condition/event  Petri Nets, place/transition Petri Nets, timed and stochastic Petri Nets, distributed Petri Nets, Petri Nets properties, analysis methods for Petri Nets, state machines, extended state machines, process algebra, temporal logic, supervision and control of D.E.S, D.E.S applications in programmable automata.

   Industrial Informatics  Taught by: Senior lecturer Honoriu Valean
Local Area Networks, architectures, OSI levels, protocols; Man- machine sound interface methods, sound recognition methods, autocorrelation methods, frequency spectrum methods, neural network methods (Hopfield, Hamming, Carpenter-Grossberg); Image recognition, analitic methods, neural network based methods.

  Knowledge based systems  Taught by: Reader D.Isoc
Logical programming, Knowledge base, Expert system, Man-machine interface, Fuzzy logic, Interfaces for fuzzy logic controller (FLC), Fuzzy logic controller, Fuzzy logic controller adjustement, Fuzzy logic modelling, Fuzzy modelling, Neural network, Identification using neural networks. More details: English, Romana.

   Continuous Process Control  Taught by: Professor Tiberiu Colosi;  Senior lecturer Ioan Nascu
Graphical symbols for control loops in industrial plants. Flow control, pressure control,temperature control and chemical concentration control.
Dynamic model building. Dynamic characteristics of  lumped parameter processes. Distributed parameter processes. Numerical control in complex regimes for specific installations of control and supervising with adaptive, optimal and extremal control algorithms. Control algorithms using computers on-line.

   Robot Control Systems  Taught by: Professor Gh.Lazea, As. R.Robotin, Prep. S.Herle
Geometric model, kinematics and dynamics of industrial robots. Trajectory generation: continuous path and point-to-point path. State space control strategies. Optimal and adaptive control strategies. Nonlinear decoupling. Kinematics model based robot control. Force feedback robot control. Robot programming. Errors compensation techniques. Versiunea in limba romana.

   Power Systems and Plants Control  Taught by: Professor Clement Festila
Identification and modelling problems in the power systems. The stability of the power systems, stabilizing methods, PSS (Power Systems Stabiliizers). The control of power and frequency. The control of reactive power and voltage. The control equipment in Power Plants and Power Stations.

   CAD in Automation  Taught by: Assist.prof. Liviu Miclea
System specification. Design methodologies. Project management.  Elements of computational geometry. CAD essence of CIM.  Computer Aided Drawing vs Computer Aides Design. GKS(Graphical Kernel System) specifications; application: internal access to entities through the AutoLISP language in AutoCAD product; design examples. Intelligent CAD characteristics and usefulness. CASE tools. CAD products.
 
  Flexible Manufacturing Systems  Taught by: Assoc.Professor Tiberiu Letia
Introduction, characteristics of FMS's, structures of FMS's, FMS's  modelling, FMS's design, control methods for FMS's, performance evaluation, FMS's information system, FMS's monitoring and diagnosis, examples of FMS's.

   Integrated  Manufacturing Systems   Taught by: Professor Gh.Lazea, As. R.Robotin, Prep. S.Herle
Overview of integrated manufacturing systems. CIM structure. Material flow structure. Functional structures. CIM concepts and models (IBM, Siemens, Esprit-CIM- OSA, DEC). Computer assisted planning (CAPP). Computer assisted manufacturing (CAM). Computer assisted quality control. CIM control structures. Barcodes for automatic identification. Versiunea in limba romana.

   Marketing  Taught by: Professor Gh. A. Catana
 Marketing Concept. Target markets. Marketing research. Consumer behaviour analysis. Strategic Marketing. Marketing mix: Product, Price, Distribution, Promotion