Background

• Computational Literacy 1

A 40-hour course in algorithmic thinking, computational problem-solving, basic principles of procedural computer programming, and writing programs with counting loops, conditional statements, and conditional loops.

• Computational Literacy 2

A 40-hour course in algorithmic thinking, computational problem-solving, basic principles of procedural comuter programming, and writing programs using custom commands, variables, functions, comparison operators, Boolean values, and list operations.

• Computational Literacy 3

A 20-hour course on algorithmic thinking, computational problem solving, basic principles of procedural computer programming, and writing programs using recursion, randomness, and advanced applications of the concepts of procedural programming.

• Computer Science Minimum with Python

A 20-hour topical course dedicated to selected fundamental Computer Science concepts required for the PCEP exam. Skills learned: work in dicimal, binary, hexadecimal, and octal numeral systems; convert numbers between these numeral systems; work with bitwise operators; use Boolean Logic.

• Data Analytics Minimum with Python

A 10-hour topical course dedicated to entry-level Data Analytics with Python. Skills learned: work with Pandas data frames; display scatterplots, regression plots, and residual plots with Seaborn; make predictions using linear regression; read data from CSV and other types of data files; handle missing values; clean data.

• Data Visualization with Python

A 20-hour topical Python course dedicated to data visualization with Matplotlib. Skills learned: work with CSV files and Pandas data frames; display 1D data as graphs, bar charts, and pie charts; display 2D data as color maps, surface plots, contour plots, and wireframe plots; work with structured and unstructured data.

• Intermediate Topics in Python

A 20-hour course on recursion, variadic functions, anonymous (lambda) functions, iterables and iterators, generator functions and expressions, functions any(), all(), map(), filter(), reduce(), eval(), exec(), mutability, shallow and deep copying, and exception handling.

• Introduction to Python

A 40-hour introductory Python programming course. Skills learned: use python for calculations; import libraries; write programs using variables, loops, and conditions; define and use functions; work with main Python data structures including tuples, lists, dictionaries, sets and frozen sets; handle basic exceptions; use assertions.

• Plotting and Drawing with Python

A 20-hour topical Python course dedicated to Matplotlib. Skills learned: draw lines and polylines; format Matplotlib plots; draw basic and advanced geometric shapes; change line style, width, and color; fill closed areas with color; graph functions and plot parametric curves; use nested for-loops to work with 2D arrays.

• Software Project 1 (Graphics Editor)

A 10-hour software project dedicated to building a Graphics Editor (GE) based on Matplotlib. The GE makes it possible to easily create images by manipulating and combining basic geometric shapes. Skills learned: plan, design, and execute a relatively complex software project; apply key principles of software design.

• Software Project 2 (Bitmap Image Viewer)

A 10-hour software project dedicated to building several types of bitmap image viewers. Skills learned: represent bitmap images as 2D and 3D Numpy arrays; fill Numpy arrays with sequential data read from files; visualize Numpy arrays with Matplotlib; manipulate Numpy arrays with nested loops; handling exceptions.

• Working with Files

A 10-hour topical Python course dedicated to file operations. Skills learned: open files for reading in various modes; read data from files; process data obtained from files; write text strings and lists of text strings to files; work with the file pointer; rewind files; handle exceptions; use assertions.

• Working with Text

A 20-hour topical Python course dedicated to text string operations. Skills learned: create, clean, and format text strings; work with special characters; use all important text string methods; work with the ASCII table and its Unicode extension; slice, copy, and reverse text strings; use regular expressions; mine data from large text files.