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CSCI111-Lecture1.md

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+theme: seriph
+background: https://cover.sli.dev
+class: 'text-center'
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+info: |
+  ## CSCI 111: Introduction to Computer Science
+
+  Learn more at [Sli.dev](https://sli.dev)
+transition: slide-left
+title: "CSCI 111: Introduction to Computer Science"
+mdc: true
+---
+
+# CSCI 111: Introduction to Computer Science
+
+---
+
+# Administravia
+
+---
+
+# Instructor and Course Information
+
+<br>
+
+- **Instructor:** William J. Tolley
+- **Office:** Parmly 413B
+- **Email:** [email protected]
+- **Lecture Times:** Monday and Wednesday 8:00 - 9:30 AM
+- **Lab Time:** Friday 8:00 - 11:00 AM
+
+---
+
+# Teaching Assistants
+
+<br>
+
+- **Payton Crawford**
+- **Micah Tongen**
+
+<br>
+
+---
+
+# Evening Help Schedule
+
+<br>
+
+|           | 6pm – 7pm      | 7pm – 8pm      | 8pm – 9pm      |
+|-----------|----------------|----------------|----------------|
+| **Sunday**    | Saad, Janeet, Lakpa | Saad, Janeet, Lakpa | Janeet, Lakpa   |
+| **Monday**    | Mohamed, Evan, Connor | Mohamed, Evan, Connor | Mohamed, Evan |
+| **Tuesday**   | Kidus, Elias      | Kidus, Elias      | Kidus           |
+| **Wednesday** | Han, Ngoc-Anh     | Han, Ngoc-Anh     | Lakpa           |
+| **Thursday**  | Sanjog, Evan      | Sanjog, Evan      | Evan            |
+
+
+---
+
+# Introductions
+
+---
+
+## Background
+
+- **Hometown**: Chuckey, Tennessee
+- **Education**: 
+  - Bachelor's in **Philosophy** and **Computer Science** from **Berea College**
+  - Graduate studies at **University of New Mexico**, **UC Berkeley**, and **Arizona State University**
+
+## Personal Life & Interests
+
+- **Family**: I'm married and have a daughter, two cats, and a bunny
+- **Hobbies**: Reading, backpacking, camping, hunting, and making music
+
+## Favorites
+
+- **Books**: *Neuromancer* and *Shogun*
+- **Movie**: *O Brother, Where Art Thou?*
+- **Music**: **black metal**, **thrash**, **bluegrass**, and **90s neotraditional country**
+
+---
+
+# Who are you?
+
+---
+
+
+# What You’ll Learn
+
+<br>
+
+- How to think like a computer scientist
+- Designing and implementing algorithms
+- Fundamentals of Python programming
+- Problem-solving techniques and debugging
+- Using Linux for development
+- Introduction to computing systems and logic
+
+---
+
+# What Is Computer Science?
+
+---
+
+# What is Science?
+
+---
+
+# What is Science?
+
+- **Karl Popper**: Science advances through **falsifiability**, where a hypothesis must be testable and capable of being proven wrong.
+- **Thomas Kuhn**: Science progresses through **paradigm shifts**, not linear accumulation of knowledge.
+- **Paul Feyerabend**: There’s no single **scientific method**; “anything goes” in the advancement of knowledge.
+
+Is computer science **falsifiable**, **progressive**, or **revolutionary**?
+
+---
+
+# What is Computing?
+
+---
+
+# What is Computing?
+
+- **Claude Shannon**: Defined computing as the processing and transmission of information, laying the foundation for **information theory**.
+- Is **computing** something humans do, or is it intrinsic to machines?
+- How do **algorithms** fit into this?
+
+---
+
+# What is a Computer?
+
+---
+
+# What is a Computer?
+
+- **Turing Machine**: A mathematical abstraction that helps define computation.
+- **Physical Computers**: Machines that perform computations following **predefined rules**.
+
+Does a **computer** have to be a machine?
+
+---
+
+# Is Computer Science a Science?
+
+---
+
+# Is Computer Science a Science?
+
+- **Karl Popper**: Does computer science follow the same principles as **falsifiability** in natural sciences?
+- **Kuhn’s Paradigms**: Has computer science had **paradigm shifts**, or is it still evolving within a single framework?
+- **Feyerabend’s Anarchy**: Is the structure of computer science methodologically diverse enough to be considered scientific?
+
+---
+
+# Thinking Outside the Box
+
+---
+
+# Thinking Outside the Box
+
+- Are we **creating knowledge** in computer science or simply creating **tools**?
+- Can computers **discover** things, or are they always bound by human-made rules?
+- What happens when **technology** drives the direction of "science"?
+---
+
+# Applications of Computer Science
+
+<br>
+
+- Powers everything from mobile apps to self-driving cars
+- Enables new fads like **AI**, **machine learning**, and **blockchain**
+- Crucial in **healthcare**, **finance**, **entertainment**, and more
+- Careers in cybersecurity, software development, research, etc.
+
+---
+
+# Connections to Philosophy, Logic, and Math
+
+<br>
+
+- **Philosophy**: What can computers "know"? Ethical considerations in AI and machine learning
+- **Logic**: The foundation of algorithms and computational processes
+- **Mathematics**: Discrete math, probability, and calculus in problem-solving and analysis
+
+---
+
+# Introduction to Linux
+
+---
+
+# Why Linux?
+
+<br>
+
+- Linux is widely used in programming, especially for servers, cloud computing, and software development
+- It’s open-source, customizable, and free
+- Learning Linux will make you comfortable with many development environments
+
+---
+
+# Basic Linux Commands
+
+<br>
+
+- `ls`: List files in the current directory
+- `pwd`: Show the current directory
+- `cd`: Change the current directory
+- `mkdir`: Create a new directory
+- `rm`: Remove files or directories
+- `cp`: Copy files or directories
+- `mv`: Move or rename files
+- `cat`: Display the contents of a file
+- `grep`: Search for specific patterns or keywords in files
+- `find`: Search for files and directories
+- `head`/`tail`: View the beginning or end of a file
+- `nano` or `vim`: Edit text files
+
+---
+
+# Practical Linux Use Cases
+
+<br>
+
+- **Programming**: Running scripts, compiling code, debugging
+- **System Administration**: Managing files, processes, and services
+- **Cybersecurity**: Network security tools, penetration testing
+
+---
+
+# Introduction to Python
+
+---
+
+# Why Python?
+
+<br>
+
+- **Easy to Learn**: Simple syntax, great for beginners
+- **Versatile**: Used for web development, data science, AI, automation, etc.
+- **Extensive Libraries**: Python has libraries for almost every task, from machine learning (e.g., TensorFlow) to web development (e.g., Django)
+- **Growing Popularity**: One of the most in-demand programming languages
+
+---
+
+# Python in the Real World
+
+<br>
+
+- **Web Development**: Building websites and APIs (e.g., Instagram, Reddit)
+- **Data Science & Machine Learning**: Analyze large datasets, build AI models (e.g., Netflix recommendations, Google search)
+- **Automation**: Automate repetitive tasks like file management or web scraping
+- **Cybersecurity**: Write scripts to automate penetration testing and security checks
+
+---
+
+# Whodunit
+
+---
+
+# Command Line Murder Mystery
+
+<br>
+
+- We’re going to solve a fun mystery using Linux commands!
+- Navigate files and directories, and uncover clues to solve the crime
+- This interactive activity will teach you key Linux commands and file system navigation
+
+---
+
+# Steps for the Murder Mystery
+
+1. Use `ls` and `cd` to navigate the file system.
+2. Open files with `cat` or `nano` to read clues.
+3. Use commands like `grep` to search through files.
+4. Work together in small groups and solve the mystery!
+
+---
+
+
+# What We Covered Today
+
+<br>
+
+- Introductions and course overview
+- Why computer science matters in the real world
+- Basic Linux commands
+- Introduction to Python and its applications
+- Command Line Murder Mystery hands-on activity
+
+---
+
+# For Next Class
+
+<br>
+
+- Practice Linux commands we learned today
+- Set up Python on your machine if you haven’t already
+- Submit your process for solving the murder mystery and your suspect.
+