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Unit 1: Data, Databases, and SQL Define and explain the purpose of data, and the most widely used data types. Understand the hierarchy of units used to calculate data size. Define and explain the purpose of databases. Understand relational vs. non-relational databases. Use design and ethics principles to guide database use, including referential integrity and

Unit 1 The course begins with a review of elementary geometry including points, coordinates, sizes and distances of objects, and vectors. After that students learn how to create planar (2D) shapes, how to extrude planar shapes to 3D by making prisms, and how to manipulate planar and 3D shapes using techniques of Constructive Solid Geometry

  “Computational Literacy for Modern Careers” Program Looking for a better future? Computational Literacy For Modern Careers Could Be The Opportunity You’ve Been Looking For! Have you assumed that working with computers, robots, CNC machines, and such is far too complicated and out of question for you, and as a result, missed out on opportunities

Unit 1 The course begins with a review of elementary geometry including points, coordinates, sizes and distances of objects, and vectors. After that students learn how to create planar (2D) shapes, how to extrude planar shapes to 3D by making prisms, and how to manipulate planar and 3D shapes using techniques of Constructive Solid Geometry

Unit 1 (Review and Programming Practice) Section 1 Why decimal numbers are natural for humans, and why binary numbers are more natural for computers. What is a 0 and a 1 in computer hardware. Properties of, and operations with binary numbers. The Carry, and the Ripple Effect. Review: various types of variables, such as integer

Unit 1 (Introduction) Section 1 Brief history of Python. Using Python as a powerful scientific calculator. Arithmetic operators +, -, *, /, **. Priority (precedence) of arithmetic operators, parentheses. Python libraries, the old and new ways of importing them. Importing the Fractions library and working with fractions. Using the built-in function help(). Defining numerical (integer

Section 1 Importing the Pandas, Seaborn and Matplotlib libraries. Understanding that Pandas DataFrames are basically Python dictionaries. Entering data into DataFrames using dictionaries. Visualizing pairwise data using scatterplots. Entering data into DataFrames by zipping lists of column values. Entering data into DataFrames by using a list of pairs (or tuples) representing rows. Understanding that adding