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Training Courses

Certificate of math, physics, Quantitative methods

Course Code
FA89
Category
Finance And Accounting
Course ID
2596
Course Outline

Course Overview

This DIXONTECH certification program builds a solid foundation in mathematics, physics, and quantitative analysis for finance, engineering, and business professionals. It integrates theoretical understanding with practical applications in modeling, problem-solving, and decision-making. Participants will develop analytical reasoning, data interpretation, and quantitative evaluation skills essential for complex real-world systems and financial computations.

TRAINING TOPICS

  • Mathematical Logic, Algebra, and Calculus Fundamentals
  • Vectors, Matrices, and Linear Systems
  • Principles of Classical and Modern Physics
  • Quantitative Models and Statistical Techniques
  • Probability Theory and Decision Analysis
  • Optimization and Linear Programming
  • Quantitative Finance and Risk Measurement
  • Physics of Motion, Energy, and Forces
  • Computational Tools for Quantitative Analysis
  • Applied Quantitative Case Studies

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

Apply mathematical, physical, and quantitative methods to analyze, model, and solve real-world technical and financial challenges.

  • Solve quantitative and analytical problems efficiently
  • Use calculus and statistics in decision-making
  • Apply physics laws to practical scenarios
  • Develop models for financial and engineering systems
  • Utilize quantitative software and computational tools
  • Interpret complex data and optimize outcomes
  • Integrate quantitative reasoning in business and finance

TRAINING IS TAILORED TO

Professionals and students aiming to enhance quantitative, analytical, and technical reasoning skills for professional or academic advancement.

  • Engineers and Technologists
  • Financial Analysts and Economists
  • Data Scientists and Statisticians
  • Quantitative Researchers and Risk Analysts
  • University Students in STEM or Finance
  • Investment and Portfolio Professionals
  • Educators and Technical Trainers

TRAINING METHODOLOGY

DIXONTECH combines interactive lectures, real-world simulations, and hands-on modeling exercises. Participants will apply mathematical and physical concepts through quantitative analysis labs, statistical modeling workshops, and computational problem-solving using Excel, Python, or MATLAB environments.

DAY 1

MATHEMATICAL FOUNDATIONS AND LOGICAL STRUCTURE

  • Principles of algebra and functions
  • Sequences, series, and growth models
  • Differential and integral calculus essentials
  • Vectors, matrices, and determinants
  • Systems of linear equations and transformations
  • Mathematical modeling in business and physics
  • Applications of derivatives and integrals
  • Workshop: solving quantitative problems in Excel

DAY 2

FUNDAMENTALS OF PHYSICS AND MECHANICS

  • Introduction to motion and kinematics
  • Newton’s laws and force analysis
  • Energy, power, and momentum conservation
  • Rotational dynamics and equilibrium
  • Work-energy relationships and friction models
  • Fluid mechanics and pressure systems
  • Oscillations and waves fundamentals
  • Case study: mechanical system analysis

DAY 3

STATISTICS AND PROBABILITY FOR DECISION MAKING

  • Descriptive and inferential statistics
  • Measures of central tendency and variability
  • Probability theory and distribution models
  • Hypothesis testing and confidence intervals
  • Correlation, regression, and forecasting
  • Random variables and stochastic modeling
  • Monte Carlo simulation basics
  • Workshop: data-driven forecasting exercise

DAY 4

QUANTITATIVE METHODS AND OPTIMIZATION MODELS

  • Linear and nonlinear programming models
  • Optimization and constraint techniques
  • Decision trees and payoff matrices
  • Game theory and competitive strategies
  • Time series and forecasting analytics
  • Risk measurement and uncertainty modeling
  • Sensitivity and scenario analysis
  • Case study: optimization in business systems

DAY 5

INTEGRATED APPLICATIONS AND COMPUTATIONAL ANALYSIS

  • Building quantitative models in Excel and Python
  • Quantitative finance: NPV, IRR, and risk modeling
  • Simulation of physics-based systems
  • Data visualization and reporting techniques
  • Advanced problem-solving using algorithms
  • Integration of math, physics, and analytics
  • Future trends in quantitative analysis
  • Capstone project: interdisciplinary modeling challenge

 

Course Schedule

Discounts and Registration

Group & Corporate Discounts:
Available for companies enrolling multiple participants to help maximize ROI.
Individual Discounts:
Offered to self-sponsored participants who pay in full and upfront.
Registration Process:
Corporate nominations must go through the client’s HR or Training department.
Self-nominations must be prepaid via the “payment by self” option.
Confirmation:
All registrations are subject to DIXONTECH’s approval and seat availability.
Refunds:
Provided in case of course cancellation or no seat availability.
Tax Responsibility:
Clients are responsible for any local taxes in their country.