Computer Science: The Foundation You Didn't Know You Needed

Trace history of operating systems from batch processing and time sharing to distributed and parallel computing, and see how operating system coordinates cpu, ram, and storage to run programs.

Explore RAM and memory concepts, including virtual memory, swap space, and cache, and see how the CPU, RAM, and long-term storage manage processes under an operating system.

Explore long term storage concepts, including hard disks, floppy disks, cd-roms, flash drives, solid-state drives, cloud storage, and raid, and learn how fragmentation and garbage collection affect performance.

Explain how colors encode as red, green, and blue pixels with 0 to 255 values and alpha, and how resolution, frame rate, and refresh rate shape the display.

A program is a file with text that a computer executes, either interpreted or compiled into machine code, and it can be procedural or object oriented.

Learn how programs interact by importing dependencies at the top of a file, so one program can use another’s functionality to fetch data, print to a file, and save results.

Discover how a class serves as a template for objects, with instances created by instantiating, each sharing properties and methods while holding different values, enabling iteration over records.

Develop with version control across development, test, and production environments to safely deploy updates; track changes, document fixes, and manage version numbers (major.minor.patch) to communicate scope.

The lecture distinguishes internal and external code, detailing throwaway, single-solution, multi-use, and multi-user types. It explains safety and privacy considerations for internal and external code.

Explore command-line and interactive execution, including Jupyter notebook style coding, and understand how compiled applications run as binaries on the CPU. Compare offline modeling to online, always-running processes.

Explore coding environment, system environment, and environment variables, including path resolution, import handling, linting, and runtime access to variables like user and password across programs.

Explore human-to-human communication, from verbal and nonverbal cues to writing and apps, and how emotional intelligence shapes intent. Compare these with human-computer interaction to frame foundational concepts.

Master human-computer interaction by examining terminals, webhooks, and programs, and how the internet enables precise input, metacognition of output, and automation.

Learn how computers communicate with strict, rule-based handshakes and standardized protocols. Discover how webhooks, triggers, and data formats enable reliable, streaming data between apps.

Explore how cloud computing connects your device to vast, virtualized server infrastructure using the internet. Understand how partitioned machines and data centers enable secure, shared resources.

Discover how Amazon Web Services differs from Amazon.com, and learn core tools like VPC, IAM, EC2, Lambda, S3, RDS, and Secrets Manager.

Understand how computer science teams build and coordinate multiple products through inter-team collaboration, product owners, Scrum and Kanban workflows, daily updates, and Jira tooling.

Explore formal education in computer science through certifications from entry to professional levels on platforms like OpenEDG and Oracle, plus LinkedIn assessments and Udemy classes.

Acquire programming insight through informal education: listen in on workplace conversations, ask clarifying questions, and reinforce concepts with YouTube videos and older library books.

Explore foundational computer science through essential books that guided a master's journey, from operating systems, compilers, and computer organization to Java, machine learning, and app development.