
10 ans de tutorat
German, English
Munich, Germany
USD $60/hr
10 ans de tutorat
German, English
Munich, Germany
UPMC
Dr. A. Schelle works as a (freelance) physicist and lecturer in applied sciences in both dual study programs and distance learning. He is an expert in numerical data science and its applications. The focus of his work is the development of modern IT concepts and applications using innovative mathematical models and algorithms. His main areas of interest include evaluation analytics, GAN models, artificial intelligence, and applied quantum mechanics. Dr. Schelle studied physics from 2001 to 2006 at LMU Munich, then completed his doctorate at the University of Sorbonne in France. He subsequently worked as a research associate at Helmholtz Zentrum München in the research and development section. Since 2014, he has been working as an independent physicist and analyst. From 2021 to 2022, he was particularly involved in the industry's founding phase as a Senior Analyst on both technical and organizational matters. Dr. Schelle is teaching as a lecturer at various well-established universities and institutions since 2006.
Sujets: AP Physics, AP Statistics, Algebra, Algebra 1, Algebra 2, Algebraic topology, Alphabets and numbers, Applied Mathematics, C, C++, Calculus, Calculus 2, Calculus 3, College Algebra, Complex analysis, Computational Physics, Computational statistics, Computer Programming in Cpp, Computer Science, Computer Vision, Computers, Data Analysis, Data Engineering, Data Management, Data Mining, Data Science, Data Structures & Algorithms, Data Visualization, Database, Deep Learning, Exam & Study Mentoring, Linear Algebra, Machine Learning, Math/Science, Mathematics, Mathematics for Machine Technology, Maths, MongoDB, Natural Sciences, Physics

4 ans de tutorat
English
Dallas, United States
USD $20/hr
4 ans de tutorat
English
Dallas, United States
THE TECHNICAL UNIVERSITY OF KENYA, University Nairobi
Are you seeking comprehensive guidance in mathematics and statistics to excel in your studies or career? Look no further! My expert tutoring services provide in-depth support across various mathematical and statistical disciplines, ensuring you gain a robust understanding and achieve your academic and professional goals. What We Offer: 1. Personalized Learning Plans: Tailored to Your Needs: I assess your current knowledge and learning style to create a customized study plan that targets your specific areas of improvement. Flexible Scheduling: I adapt to your schedule to maximize your learning potential whether you prefer intensive sessions or a more gradual learning pace. 2. Comprehensive Subject Coverage: Mathematics: From basic arithmetic to advanced calculus, linear algebra, differential equations, and discrete mathematics. Statistics: Descriptive statistics, inferential statistics, probability theory, hypothesis testing, regression analysis, and more. Specialized Topics: Advanced courses in data analysis, machine learning, and statistical software (R, Python, SPSS, etc.). 3. Engaging and Effective Teaching Methods: Interactive Sessions: I Utilize a blend of lectures, hands-on exercises, and real-world applications to make learning engaging and practical. Problem-Solving Focus: Emphasize critical thinking and problem-solving skills, essential for mastering complex mathematical and statistical concepts. Why Choose Me? Customized Approach: My tutoring is designed to fit your unique learning style and academic requirements. Expertise and Experience: I'm a seasoned professional who is passionate about teaching and dedicated to your success. Unlock your potential in mathematics and statistics with our expert tutoring services. Contact us today to schedule your first session and take the first step toward mastering these critical subjects!
Sujets: Abstract Algebra, Algebra, Algebra 1, Algebra 2, Business Analysis, Calculus, Computational statistics, Data Analysis, Data Visualization, Differential Equations, Integral Calculus, Linear Algebra, Pre-Algebra, Pre-Calculus

15 ans de tutorat
Hindi, English, Urdu
Bengaluru, India
USD $15/hr
15 ans de tutorat
Hindi, English, Urdu
Bengaluru, India
Jaypee University of Information Technology
I am Dr. Alam, a professor of bioinformatics from Bangalore, India. I have been teaching different subjects in Bioinformatics like Computer Aided Drug Designing, Molecular Modelling and Simulation, Cheminformatics and QSAR, Machine Learning, Bioinformatics Algorithm, Data Analytics, R Programming, Unix and Linux, Next Generation Sequencing, Computational Biology, Clinical Database Management, and Systems Biology since 2009. I speak English, Hindi and Urdu to teach. I completed my PhD degree in bioinformatics from the Jaypee University of Information Technology, Solan (Himachal Pradesh) in 2009. I have 11 years of teaching experience at Karunya Institute of Technology and Sciences (KITS), Coimbatore, Tamil Nadu, and 4 years of online teaching experience as well as 19 years of research experience in bioinformatics. I have 24 research publications in reputed journals, 21 conference proceedings, and 2 book chapters. I have delivered 30 invited lectures at national conferences, seminars, and workshops. I love my teaching profession as I love myself. My lesson plan covers aims, objectives, and outcomes, and I deliver very diligently in such a way that the learner must understand the lesson efficiently. My teaching methodology includes presentation, demonstration, observation and explanation, question and answer, discussion. For this, I use Google Classroom as well as the associated platform technology for teaching. My area of expertise includes computer-aided drug design, genomics, and proteomics. I have trained hundreds of students since 2009 in bioinformatics. I have supervised two Ph.D. students, 23 M.Tech. Projects, 47 B.Tech. projects, and 3 foreign interns in the field of bioinformatics. I am also a certified digital teacher with the ICT Academy and a committed mentor at different organizations like TeacherOn, Superprof, Teachnook EdTech, and the Nano Science and Technology Consortium (NSTC).
Sujets: Bioinformatics, Biostatistics I, Biostatistics II, Computer Aided Drug Design, Data Analysis, Linux, Molecular Biology, R Programming, Scientific Research, Unix, research papers