- Code: 1T41803
- Level Beginner
- Category Graphics
- Total hrs 24
- Course Language English
- Email csp.aast2016@gmail.com
- Phone 01211777323
Mathematical Foundations: Understand and apply fundamental concepts across algebra, calculus, linear algebra, probability, and statistics.Problem-Solving Skills: Solve linear and non-linear equations, optimize functions, and apply transformations effectively in mathematical and real-world contexts.Data Analysis and Interpretation: Use statistical methods to summarize and interpret data, making inferences and predictions based on statistical tests and probability distributions.Calculus Applications: Compute derivatives and integrals and use them to model and solve optimization and area-based problems.Probability and Decision-Making: Analyze and calculate probabilities, apply Bayes’ theorem, and use probabilistic reasoning in data analysis and decision-making. Mathematical Communication: Effectively interpret and communicate mathematical results, both graphically and in written form, providing clear explanations of complex quantitative information.
• Algebra and Linear Equations: Introduction to algebraic expressions, linear equations, inequalities, and graphing. Covers foundational algebraic principles that are essential for understanding more advanced mathematical concepts.• Linear Algebra: Focuses on vector and matrix operations, linear transformations, and vector spaces. Includes applications of matrices in solving linear equations and understanding geometric transformations.• Calculus I - Derivatives and Optimization: Introduces the concept of limits, derivatives, and their applications, with a focus on optimization problems. Provides the foundational tools for understanding change and rates of change.• Calculus II - Integrals and Area under Curves: Covers the principles of integration and its applications, including finding the area under curves and volumes. Builds on differentiation concepts to provide a comprehensive understanding of continuous change.• Probability and Bayes’ Theorem: Explores the basics of probabili