Programming Class (Node.js, React, React Native, Java, Kotlin, Python)
Industrial computing, telecommunications, network, biomedical instrumentation Electronics: analog, digital, automatic
PhD student in engineering sciences option electrical engineering Associate Professor in Engineering Sciences SKILLS IS engineering sciences Embedded system (microcontrollers, z80 microprocessors, Motorola, ARM), Real-time system, network concept (OSI, TCP/IP), design of systems and electronic cards (analog, digital, power supply), signal processing, communication protocols ( SPI, I2C, CAN BUS, UART...), telecommunications. Technical skills : Languages: C / C ++, JAVA, VHDL / VERILOG, Python, Assembler. Professional software: MATLAB, SIS + PSIM + PSpice, QUARTUS, IDE68, Mikro C, Xilinix ISE, Labview, CoIDE. Technologies: Siemens PLC, Allen bradeley, STM32, FPGA, TIA Portal, STEP7, RSLogix Electrical engineering: Electric motors, Transformers Renewable energies: study of the solar pumping installation and the wind turbine installation. Electronics: analog, digital, power electronics, system electronics and instrumentation biomedical. Networks and telecommunications. Industrial IT and programmable logic controllers. Automatic: modeling, identification and control of systems. Mechatronics. MATLAB • Noise and vibration of asynchronous motors • Speed variator • Study and implementation of LV / MV standards • Electrical accreditation: NF C18-510 standard • NF C 15-100 electrical installations • Management of electrical energy in networks (Continuous Power Flow)
Understand the concepts of object-oriented programming (JAVA, C #, C ++)
Object-oriented programming is a model of programming language that revolves around objects and data, rather than actions and logic. The challenge of programming was to write the logic, not to define the data. Object-oriented programming has changed the perspective: what matters is the objects to be manipulated rather than the logic required for this manipulation. In this course, we will try to describe what object-oriented programming is (often abbreviated as OOP). We will try to get to the point and stay close to the practice.
Algorithms, Scratch, Python and C programming languages
Associate professor, offers private lessons for college and high school students in algorithms and programming languages: - Scratch, -Python, - VS. The course of the sessions is done by the interpretation of the instructions, sequencing and analysis of the codes and then their compilation on machines ...,
IT (Programming, modeling, learning, frimeworks).
Programming, also called coding in the computer field, is the set of activities that allow the writing of computer programs. It is an important step in software development, learning, mastery of databases. The design of a database goes through the following 6 stages indicated in their chronological order of realization. The first 4 steps constitute the modeling phase: 1) Drafting of management rules 2) Creation of the data dictionary 3) Identification of functional dependencies 4) Creation of the Conceptual Data Model (CDM) 5) Creation of the Logical Data Model (LDM) 6) Creation of the Physical Data Model (PDM) and for learning or Machine Learning is an artificial intelligence technology that allows computers to learn without having been explicitly programmed for this purpose. To learn and develop, however, computers need data to analyze and train on. In fact, Big Data is the essence of Machine Learning, and it is the technology that unlocks the full potential of Big Data. Find out why this technique and Big Data are interdependent.
Econometrics & Statistics (R, SPSS, Eviews, Gretl, Stata) for master thesis and assignments
MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest
Programming - Math - Physics - English courses for beginners and intermediate
Computer Science engineer with previous experience in tutoring and private lessons and a passion for teaching. I believe that with the right teacher, everyone can get a very strong understanding of any subject. I seek to be that right teacher, my goal is to instil passion and good learning habits in my students, in addition to providing them with my experience in the different fields mentionned above.
Make your own website : web programmming for beginners
I can teach how to make a basic website for everyone, even if you never try computer programming. We will learn the HTML and CSS langage, the basic programming language for web development. I can teach how to make a basic website for everyone, even if you never try computer programming. We will learn the HTML and CSS langage, the basic programming language for web development.
Learn to learn: Math, Physics and Chemistry courses Computer programming
In Science, Technology, Engineering and Mathematics (STEM) we don't understand things, we get used to it! You are in college or high school (L, S, ES, STMG or STL) and you encounter difficulties in the disciplines of science in particular in mathematics, physics, chemistry or computer science (misunderstanding of the course, too hard exercises, methods of inappropriate work)? Do not let the gaps accumulate and opt for quality support. Well, become an artist in mathematics, physics or even programming now. With more than 5 years of experience in coaching private lessons and training workshops, I followed more than 230 students from middle school, high school, bac + 2 in Maths-Physics and Computer Science. Passionate about science, in particular math-physics-computer science and especially teaching, I decided a few years ago to collaborate with tutoring companies and private schools. Indeed, transmitting knowledge, seeing students evolving and following them during their schooling is a real challenge but also a real satisfaction. I flourish particularly in teaching and I know perfectly the school programs and teach from primary to terminal. Beyond the simple teaching of mathematics, I strive to establish a pleasant and relaxed working atmosphere to encourage students to gain confidence. Such a working atmosphere and personalized support allow students to find the winning mentality they need to succeed. A pedagogue, attentive and enthusiastic, I offer simplified course materials as well as exercises and carry out regular assessments with the student and the parents to make a progress report. Methodology : My previous experiences have allowed me to identify in students with different profiles that the poor results in scientific subjects generally come from an inadequate methodology (not knowing how to read a statement, not knowing how to write mathematical reasoning ... ) and a lack of practice. As a trainer, I consider that my role is not only to teach the subject, but to give you the necessary tools that will allow you to progress sustainably and achieve your academic and personal goals. The first meeting aims to get to know the student starting from an analysis of their level, their strengths as well as their objectives, I define with him / her an educational strategy in terms of areas for improvement , working methods, frequency of lessons and supports used. On the basis of the observation, I establish with the student and his parents an educational assessment (concepts to be reviewed as a priority, work method, duration and frequency of lessons) aiming to best meet the student's objectives. Course of a typical session: The courses are generally structured in 5 stages: 1. At the beginning of the session, I check with the student if he has done the work (homework, exercises, ...) requested by his teacher and I answer any questions he may ask: course points poorly assimilated, errors not understood ... 2. From there, I take up with the student the points of the poorly assimilated course and I review with him the mathematical methodology: how to read a statement correctly, how to solve a mathematical problem. If the student has a check, I analyze with him his old homework on the table to analyze his errors and do better during the next check. 3. I ask the student to do several exercises so that he can put into practice the concepts seen in class and appropriate the working methods seen together. 4. Evaluate the student's understanding (direct questions, direct application exercises, validation of student cards). 5. each lesson session, a summary point including: at. The concepts to know and some typical examples b. The main points of difficulty of the student vs. Tips and strategies to overcome these difficulties 6. I give some exercises of a level of difficulty similar to those approached during the course to allow the student to review alone the concepts seen together and to assimilate his course durably. In case of difficulty, the student can at any time send me an email or call me so that I can help him from one session to another 7. Summary point - Report of the meeting a- What was done during the session b- What the student could remember c- What the student should do for the next session. A- Homework help point, partial, test, white bac: review the whole course, do one (or more) year (s) together, identify the pitfalls to avoid and the tips to know. Internships are also organized during the holidays to allow my students to further improve their performance and strive for excellence. Benefits / differentiation: 1- Free follow-up by phone (I would be available if the student has specific questions). 2- The course can reasonably overflow without problem 3- Patience and smile in all circumstances, proximity. 4- Orientation assistance. I can move home, otherwise I also receive my students in the study room of my residence. Interested? To all parents concerned about the educational situation of their children, do not wait until it is too late, contact me and take it in hand by reserving my lessons now!
Software Engineering , Programming languages, Problem solving and algorithms
Here are two main reasons why one should learn programming. - Most Demanded Profession: These days technology is becoming so advance with the help of computers. And for running such computers we need software that is made using programming languages. It shows that there are huge job opportunities in present and future. - It Teaches You How to Think: Programming languages are used to solve real life problems. For solving such problem one need to think. As you keep solving such problems your logic become good. In short it teaches you how to think. Even legends like Stephen Hawking, Steve Jobs, Mark Zuckerberg have said that learning programming is an essential skill.
Special course in computer science or mathematics
Teacher graduated from ENSI, and with 3 years of experience in IT at large clients (agricultural credit, cnp insurance ..), can help you better master computer science, programming or mathematics. With more than two years of teaching experience, I wanted to share my expertise with you.
Computer Science and Programming Tutor in Paris Area
University student classes in IT / Programming courses such as C/C++, PHP, and Java programming. Classed done in English. Focus is on practical problems, working on solutions side-by-side with the student, while promoting independent thinking. Difficulty is gradually increased and the process is repeated.
particular course in math / computer
Computer engineer currently in research master, gives private lessons in mathematics and computer science for all levels
Initiation and confirmation of the C language and programming in general
My journey : ♦ Initially graduated with a BAC in digital systems, I started a course at school 42 (4-5 years old) and was certified senior. I had the opportunity to study in depth basic programming languages such as C going up to its assembly analysis. I was also a programmer in Android, C ++, Unity My methodology: As a first step, I intend to estimate the student's needs and objectives. - Is this an introduction to programming? (Concepts of variables, compilation, etc.) - Does he have difficulties with certain concepts? (Pointers, Algorithmic logic, Recursive loops, etc.) - Are you looking for solutions to a specific or more general problem (Exercises, program architecture, etc.) - Does he want to go further? After that we will study the language and practice programming. There will be exercises to confirm knowledge and gain experience but also reflection on optimization. We will learn together how to answer our questions and therefore acquire the independence essential to survive in the world of programming.
COMPUTER COURSE - Developer - Programming
Currently studying at school 42, I offer computer classes in Paris. For many languages. System: C / Python / Go / Java / sh Web: HTML / CSS - JS - Jquery (and other frameworks) - PHP I can also help for AI, algorithm, git as well as on the UNIX system. I remain at your disposal for any questions.