Computer Programming for Beginners: Coding in Python

II - July 20–August 6, 2021
Modality, Day & Time:
Monday–Friday, 9:10 a.m.–11:00 p.m. and 1:10–3:00 p.m.

Kelsey Melissaris

No previous programming experience is required, but participants should have an aptitude for logical reasoning and systematic thinking.

Course Description

This course provides an intensive introduction to coding with the language of Python, one of the most widely used and intuitive programming languages. Python is an interpreted language that, while syntactically simple, is equipped with a powerful set of libraries. Data analysis, machine learning, AI, data visualization, and web development can all be done quickly and efficiently with Python. This makes Python an ideal language for beginners.

Participants learn the fundamentals of programming with Python; they are introduced to best programming practices, data representation and storage, data structures, functions and scripts, and more. Students also learn how to take advantage of the incredible number of Python libraries. By the end of the course, they have an understanding of the programming fundamentals required to approach novel and interesting problems with Python.

The course alternates between classic instruction, group work, and individual programming challenges. While learning to code in Python, students also develop logical thinking and problem solving skills that will be helpful to them in learning other programming languages as well as in college and beyond.

Student computers can be either PC or a Mac and should have Internet connections and 8 to 10 GB of free space.

Students who are already familiar with Python might consider taking Computer Programming for Beginners: Coding in Java or Introduction to Programming in C.


Kelsey Melissaris

Kelsey Melissaris is a PhD candidate in computer science at the City University of New York, where her research focus is cryptography. She holds a bachelor’s degree in mathematics from Rutgers University. Kelsey has worked as a visiting researcher at the University of Michigan in a lab focusing on machine learning and bioinformatics, instructed university students in introductory Python, and prepared pre-college young adults for university-level mathematics.

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Specific course detail such as hours and instructors are subject to change at the discretion of the University. Not all instructors listed for a course teach all sections of that course.