OSSU Academic Requirements

This document contains the subjects (e.g. programming), topics (e.g. imperative programming), and projects the student must master to pass through this curriculum. The subject requirements are based on topics, rather than specific courses, because sometimes a certain course isn't available at the right time or doesn't fit the student's learning style.

Subjects

Programming

Paradigms

Imperative programming
Procedural programming
Object-oriented programming
Functional programming
Logic programming

Languages

C and/or C-derived languages
SQL
XML/HTML
JavaScript and/or related language
An ML-family language
A Lisp-family langauge
Python and/or Ruby

Math

Logic and proofs
Discrete structures
Graph theory
Discrete probability
Linear algebra

Systems

Memory
Caching
Virtualization
Concurrency
Compilers
Assembly
Networking

Theory

Data structures
Sorting
Searching
Divide and conquer
Algorithms on graphs
Greedy algorithms
Trees
P and NP

Applications

Software product management
REST
Databases
Computer graphics
Cybersecurity
Machine learning

Projects

Students are required to complete a project at the end of Core CS and at the end of Advanced CS.

For Core CS, students have two options:

They can use the Capstone course at the end of Core applications as their Core CS Project, in which case they are not required to share their project code.
They can skip that Capstone project and make their own project, in which case they are required to share the project code.

For the Advanced CS Project (also known as the Final Project), students again have two options:

They can take one of the Specializations under Advanced applications, all of which include Capstone Projects. Students must share their project code unless the course's honor code forbids it.
They can create their own Final Project, and must share the project code to be evaluated by the community.

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