P
Programming 1

The course helps students develop an appreciation for programming as a problem-solving tool. It teaches students how to think algorithmically and solve problems efficiently, and serves as the foundation for further computer science studies.

Using a project-based approach, students will learn to manipulate variables, expressions, and statements in Python, and understand functions, loops, and iterations. Students will then dive deep into data structures such as strings, files, lists, dictionaries, tuples, etc. to write complex programs. Over the course of the term, students will learn and apply basic data structures and algorithmic thinking. Finally, the course will explore design and implementation of web apps in Python using the Flask framework.

Throughout the course, students will be exposed to abstraction and will learn a systematic way of constructing solutions to problems. They will work on team projects to practice pair programming, code reviews, and other collaboration methods common to industry. The course culminates in a final group project and presentation during which students demonstrate and reflect on their learning.



Mandatory Readings (all content will be provided)

  • Zybooks, a Wiley brand. (2020). Programming Python.
  • Learn Enough Python, Michael Hartl
  • Accreditation: ECTS Accredited (EQF5)
  • Total workload: 150 hours
  • Requires extra purchases (outside texts, etc.): No, all materials included
  • ID verification: Required
  • Admission requirements: Application required
  • Minimum education requirement for students: High School