Register for FREE today to view the profiles of 1,245 other alumni.
We also have labels to help you have more control through the process. The meaning of each of these labels is:- ACADEMICS
- College readiness
- College success
- Advanced courses
- EQUITY
- Equity overview
- Race/ethnicity
- Low-income students
- Students with disabilities
- ENVIRONMENT
- Student demographics
- Teachers & staff
- General information
- Reviews
- Neighborhood
The courses themselves are among the very best in the world, often coming from Harvard, Princeton, MIT, etc. , but specifically chosen to meet the following criteria. When no course meets the above criteria, the coursework is supplemented with a book. When there are courses or books that don't fit into the curriculum but are otherwise of high quality, they belong in extras/courses or extras/readings.
Topics covered: procedural programming manual memory management boolean algebra gate logic memory computer architecture assembly machine language virtual machines high-level languages compilers operating systems network protocols and more Topics covered: Agile methodology REST software specifications refactoring relational databases transaction processing data modeling neural networks supervised learning unsupervised learning OpenGL raytracing and more The final project evaluation has a second purpose: to evaluate whether OSSU, through its community and curriculum, is successful in its mission to guide independent learners in obtaining a world-class computer science education. Topics covered: divide and conquer sorting and searching randomized algorithms graph search shortest paths data structures greedy algorithms minimum spanning trees dynamic programming NP-completeness and more The How to Code courses are based on the textbook How to Design Programs. The First Edition is available for free online and includes problem sets and solutions.
Curso Superior de Comercio Internacional
Topics covered: terminals and shell scripting vim command line environments version control and more Topics covered: computation imperative programming basic data structures and algorithms and more Cost. All or nearly all course material is available for free. However, some courses may charge money for assignments/tests/projects to be graded. Note that both Coursera and edX offer financial aid. Topics covered: discrete mathematics mathematical proofs basic statistics O-notation discrete probability and more Understanding theory is important, but you will also be expected to create programs. There are a number of tools that are widely used to make that process easier. Learn them now to ease your future work writing programs. OSS University is project-focused. The assignments and exams for each course are to prepare you to use your knowledge to solve real-world problems. Topics covered Confidentiality, Integrity, Availability Secure Design Defensive Programming Threats and Attacks Network Security Cryptography and more Decide how much or how little to spend based on your own time and budget; just remember that you can't purchase success! My friend, here is the best part of liberty! You can use any language that you want to complete the final project.
Duration. It is possible to finish within about 2 years if you plan carefully and devote roughly 20 hours/week to your studies. Learners can use this spread to estimate their end date. Make a copy and input your start date and expected hours per week in the Timeline sheet. As you work through courses you can enter your actual course completion dates in the Curriculum Data sheet and get updated completion estimates. GreatSchools is the leading national nonprofit empowering parents to unlock educational opportunities for their children. We provide school information and parenting resources to help millions of American families choose the right school, support learning at home, and guide their children to great futures. This course will introduce you to the world of computer science. Students who have been introduced to programming, either from the courses above or through study elsewhere, should take this course for a flavor of the material to come. If you finish the course wanting more, Computer Science is likely for you! It is designed according to the degree requirements of undergraduate computer science majors, minus general education (non-CS) requirements, as it is assumed most of the people following this curriculum are already educated outside the field of CS.
Register for FREE today to view the profiles of 1,245 other alumni.
Students are encouraged to do these assignments. Now that you have a copy of our official board, you just need to pass the cards to the Doing column or Done column as you progress in your study. Topics covered: digital signaling combinational logic CMOS technologies sequential logic finite state machines processor instruction sets caches pipelining virtualization parallel processing virtual memory synchronization primitives system call interface and more After completing every required course in Core CS, students should choose a subset of courses from Advanced CS based on interest. Not every course from a subcategory needs to be taken. But students should take every course that is relevant to the field they intend to go into. The OSSU curriculum is a complete education in computer science using online materials. It's not merely for career training or professional development. It's for those who want a proper, well-rounded grounding in concepts fundamental to all computing disciplines, and for those who have the discipline, will, and (most importantly!) good habits to obtain this education largely on their own, but with support from a worldwide community of fellow learners.
Content policy. If you plan on showing off some of your coursework publicly, you must share only files that you are allowed to. Do NOT disrespect the code of conduct that you signed in the beginning of each course! Process. Students can work through the curriculum alone or in groups, in order or out of order. You can create this project alone or with other students! We love cooperative work! Use our channels to communicate with other fellows to combine and create new projects! If you've never written a for-loop, or don't know what a string is in programming, start here. This course is self-paced, allowing you to adjust the number of hours you spend per week to meet your needs. Topics covered: formal languages Turing machines computability event-driven concurrency automata distributed shared memory consensus algorithms state machine replication computational geometry theory propositional logic relational logic Herbrand logic game trees and more Students who would like more guidance in creating a project may choose to use a series of project oriented courses.
- Core CS assumes the student has already taken high school math, including algebra, geometry, and pre-calculus.
- Advanced CS assumes the student has already taken the entirety of Core CS and is knowledgeable enough now to decide which electives to take.
- Note that Advanced systems assumes the student has taken a basic physics course (e.g. AP Physics in high school).
Here is a sample of options (many more are available, at this point you should be capable of identifying a series that is interesting and relevant to you): After completing the requirements of the curriculum above, you will have completed the equivalent of a full bachelor's degree in Computer Science. Congratulations! The important thing is to internalize the core concepts and to be able to use them with whatever tool (programming language) that you wish. (Remember: high graduation rates don't mean much if students are graduating without the coursework and test scores they need to succeed. ) Topics covered: debugging theory and practice goal-oriented programming parallel computing object-oriented analysis and design UML large-scale software architecture and design and more After you've gotten through all of Core CS and the parts of Advanced CS relevant to you, you should think about a problem that you can solve using the knowledge you've acquired. Not only does real project work look great on a resume, but the project will also validate and consolidate your knowledge. You can create something entirely new, or you can find an existing project that needs help via websites like CodeTriage or First Timers Only.
Topics covered: functional programming design for testing program requirements common design patterns unit testing object-oriented design static typing dynamic typing ML-family languages (via Standard ML) Lisp-family languages (via Racket) Ruby and moreSource: https://github.com