Training Content
Training Duration: 5 Days, each day 09:00–12:00 Theory, 13:00–16:00 Practice
Level: Introductory (preparation for all technical fields)
Participant Profile
• Individuals attending technical training in Robotics, Artificial Intelligence, Image Processing, Cybersecurity, etc.
• Those lacking basic math/statistics knowledge for programming and engineering courses
• Pre-university / university students, industry professionals
• Professionals with interest in general technical fields
• For participants planning to attend advanced technical training (AI, Robotics, Image Processing, Cybersecurity, etc.), this course serves as direct preparation.
Prerequisites / Requirements
• Basic computer skills
• Recommended: High school-level knowledge of math and science (if participants have a lower level, the instructor will simplify the explanation)
• After completing this course, participants may be directed to advanced technical training.
Curriculum
Day 1: Basic Mathematics
• Numbers, functions, equations
• Logarithms, exponential functions
• Introduction to vectors and matrices
• Practice: Small calculation and problem-solving exercises
Day 2: Linear Algebra & Geometry
• Matrix operations, determinants, inverse matrices
• Solving systems of linear equations
• 2D / 3D coordinates, transformations
• Practice: Matrix operations, simple transformations
Day 3: Basic Statistics
• Mean, median, variance, standard deviation
• Basic probability, distributions (Normal, Binomial, Poisson)
• Data reading and interpretation
• Practice: Statistical calculations with small data sets
Day 4: Basic Physics
• Force, motion, velocity, acceleration (Newton's laws of motion)
• Energy, work, power
• Electricity: current, voltage, resistance concepts
• Practice: Simple experimental calculations and problem solving
Day 5: Applied Exercises & Mini Project
• Examples of mathematical modeling (e.g., simple robot movement)
• Data analysis application (statistical evaluation)
• Physical scenario solution (e.g., drone flight dynamics)
• Group work and presentation
Training Outcomes
• Acquire mathematical computation and modeling skills
• Be able to perform statistical thinking and data analysis
• Be able to interpret physical events (force, motion, energy) at a basic level
• Develop scientific thinking and problem-solving skills
• Be prepared for subsequent advanced technical training
Training Notes
• The instructor can deepen or simplify topics according to the participant's level
• This course is mandatory preparation for those who want to participate in advanced technical training (AI, Robotics, Image Processing, etc.)
• Participants will receive a university or institution-approved certificate upon completing the course
This training is available for corporate collaborations (as a package for institutions/companies), and individual applications are not accepted. The training content can be re-planned based on the corporate participant profile and needs. After mutual discussions, the scope of the training and its method (in-person, online) are determined, and the relevant processes are completed. Upon agreement, suitable dates and times for the participants from your institution and our instructors will be determined, and the location of the training will be set.