Semester/Term Format Idea

[pekkalacd]

I commented this on your original open-source-cs degree. I figured I'd do it for this one as well. Here is an example schedule broken up into terms inline with the prerequisites listed on the repo and an estimated time of completion.

Term Schedule Idea

Time Estimations: 66 weeks [~ 1.25 years]

• This assumes that the user abides by each term and waits until the term is completed to assume the "cool off period" and does not continue onwards to the next semester.
• This assumes max cool off period of 3 weeks is assumed by user in between terms.

Term 1

(13 weeks)	Course	Duration	Schedule
1 Intro to Computer Science	10 weeks	M/W/F
2 Mathematical Thinking in Computer Science	6 weeks	T/TH
3 Programming for Everybody (Getting Started with Python)	4 weeks	M/W

[ if done with # 3 -> # 4] | 4 Python Data Structures | 4 weeks | M/W | | 5 Calculus 1A: Differentiation | 12 weeks | T/TH | | 6 Introduction to Probability and Data | 5 weeks | M/W | [if done with # 6 -> # 7] | 7 Intro to Statistics | 8 weeks | M/W |

Cool off period: up to 3 weeks

Term 2

(15 weeks)	Course	Duration	Schedule
1 Using Python to Access Web Data	4 weeks	M/W
2 Introduction to Data Science with Python	3 weeks	M/W

[if done with # 2 -> # 3] | 3 Applied Plotting & Charting... | 4 weeks | M/W | [if done with # 3 -> # 4] | 4 Applied Machine Learning in Python | 6 weeks | M/W | | 5 Calculus 1B: Integration | 15 weeks | T/TH | | 6 Linear Algebra - Foundations to Frontiers | 15 weeks | T/TH |

Cool off period: up to 3 weeks

Term 3

(12 weeks)	Course	Duration	Schedule
1 Computer Science: Algorithms, Theory, and Machines	10 weeks	M/W
2 Calculus 1C: Coordinate Systems & Infinite Series	8 weeks	M/W
3 Database Management Essentials	7 weeks	T/TH

[ if done with # 3 -> # 4] | 4 Using Databases with Python | 3 weeks | T/TH | [ if done with # 4 -> # 5] | 5 Capstone: Retrieving, Processing, and Visualizing Data with Python | 2 weeks | T/TH | | 6 Linux Command Line Basics | 1 week | F/Sa | [ if done with # 6 -> # 7] | 7 The Unix Workbench | 4 weeks | F/Sa | [ if done with # 7 -> # 8] | 8 Build a Modern Computer from First Principles: From Nand to Tetris | 6 weeks | F/Sa |

Cool off period: up to 3 weeks

Term 4

(14 weeks)	Course	Duration	Schedule
1 Algorithms, Part I	6 weeks	T/TH

[ if done with # 1 -> # 2] | 2 Algorithms, Part II | 6 weeks | T/TH | | 3 Cryptography I | 7 weeks | M/W | | 4 Build a Modern Computer from First Principles: From Nand to Tetris II | 6 weeks | M/W | [ if done with # 4 -> # 5] | 5 Introduction to Operating Systems | 8 weeks | M/W | | 6 Applied Text Mining in Python | 5 weeks | F/Sa | [ if done with # 6 -> # 7] | 7 Applied Social Network Analysis in Python | 5 weeks | F/Sa |

Graduation! 💯 💯

[elizaakins1]

hi. i''m really grateful for this semester idea. it really helped me a lot. Just wondering. can i skip the intro to statistics and intro to probability and data?

[dern0s]

hi. i''m really grateful for this semester idea. it really helped me a lot. Just wondering. can i skip the intro to statistics and intro to probability and data?

I wouldn't recommend any skips. You'll need a good understanding of the basics so you can progress more confidently. Don't skip anything and practice all you can.

[elizaakins1]

Okay, thank you.

[jarede-dev]

Where's the "Mathematical Thinking in Computer Science" in the repo? I can't find it. Is that in the Open Source CS Python or did you get that on the Java one?