</ Master math concepts in Computer Science >
</ Prepare for advanced programming courses >
</ Solve math problems on paper and with Python >
</ Prepare for advanced programming courses >
</ Solve math problems on paper and with Python >
Math for Comp Science
14-17 y.o.
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Students will learn maths topics essential for computer and data scientists. This course covers computer arithmetic (binary numbers), functions and basics of calculus, linear algebra, probability theory and statistics. Students will learn new theoretical concepts and solve tasks both on paper and via python coding. Classes are hands-on and learning is designed to be fun and simple.
About the course
Tech requirements:
Laptop/PC, Wi-Fi (25+ Mbps), Webcam
Laptop/PC, Wi-Fi (25+ Mbps), Webcam
Prerequisites:
None
None
Time Commitment:
1 or 2 hours per week in class
+
1-2 hours per week outside of class
1 or 2 hours per week in class
+
1-2 hours per week outside of class
Outcomes
(* Understand logic behind Computer Science *)
// Advance your Python Programming skills
# Gain a solid background for advanced programming and data science studies
/* Practice problem solving */
Curriculum:
Lesson 2-4
Learning the Computer Language
Binary numbers and operations, Computer logic;
1st lesson
Course Introduction
Overview of Math concepts;
Lesson 6-8
Describing Relations
Functions and Introduction to Calculus;
Lesson 10-12
Linear algebra;
Lesson 14-16
Predicting Outcomes
Probability Theory & Statistics.
Organizing Numbers
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