11-12 graders
Credits awarded on transcript
Pre-calculus completed with B- or better
UC A-G approved for [C] Mathematics credits
90 minutes per class
4-8 students per class
Twice per week over 36 weeks
1599 per student, per semester
Self paced instructor-guided
Online community
Office hours on-demand
1599 per student, per semester
2-3 hours per day (summer/winter)
4-8 students per class
3 days per week 2, 4, or 6 weeks
589 per student, per week
This course will prepare students to potentially obtain college credits from Carnegie Mellon University for the "College Programming and Computer Science" course upon successfully passing a final exam administered by CMU for a fee. 2Sigma School is proud to participate in CMU's pilot on academic credit by examination.
The Python programming language is one of the fastest growing and most popular programming languages in the world. It has a wide range of syntactic constructions, standard library functions, and interactive development environment features. It is the most widely used language for machine learning, data science, and artificial intelligence.
The Advanced Computer Science in Python course is a technical deep dive into the fundamentals of programming with an emphasis on producing clear, robust, and reasonably efficient code using top-down design, informal analysis, and effective testing and debugging. Starting from first principles, we will cover a large subset of the Python programming language, including its standard libraries and programming paradigms. We will also target numerous deployment scenarios, including standalone programs, shell scripts, and web-based applications.
This course provides students with all the essential knowledge and skills needed to become solid intermediate programmers and problem solvers so they can take on decent sized problems on their own and design a solution and make it work. By the end of the course students will creatively solve a problem of their choosing through a capstone project.
Students will also be able to demonstrate career readiness through professional certification as this course aligns with the PCAP Exam requirements.
In order to take this course, students must have completed at least one year of computer science. This can include the Introduction to Computer Science, AP Computer Science Principles, AP Computer Science A, or any equivalent course. Students will also need to have completed Algebra II and Geometry courses so that they can manage the mathematical nature of the programming concepts that we will be covering in this course.
University of California A-G approved for [C] Mathematics credits.
Our technology requirements are similar to that of most Online classes.
A desktop or laptop computer running Windows (PC), Mac OS (Mac), or Chrome OS (Chromebook). | |
Students must be able to run a Zoom Client. | |
A working microphone, speaker, webcam, and an external mouse. | |
A high-speed internet connection with at least 10mbps download speed (check your Internet speed). |
Students must have a quiet place to study and participate in the class for the duration of the class. Some students may prefer a headset to isolate any background noise and help them focus in class.
Most course lectures and content may be viewed on mobile devices but programming assignments and certain quizzes require a desktop or laptop computer.
This course includes several timed tests where you will be asked to complete a given number of questions within a 1-3 hour time limit. These tests are designed to keep you competitively prepared but you can take them as often as you like. We do not proctor these exams, neither do we require that you install special lockdown browser.
In today's environment, when students have access to multiple devices, most attempts to avoid cheating in online exams are symbolic. Our exams are meant to encourage you to learn and push yourself using an honor system.
We do assign a grade at the end of the year based on a number of criteria which includes class participation, completion of assignments, and performance in the tests. We do not reveal the exact formula to minimize students' incentive to optimize for a higher grade.
We believe that your grade in the course should reflect how well you have learnt the skills, and a couple of timed-tests, while traditional, aren't the best way to evaluate your learning.