CS 200 - Fall 2024.

Welcome to CS 200!

Video of the Day

This song opens a Broadway musical based on a play by Shakespeare, with music and lyrics by a Yale graduate. This number captures the feeling of hope, promise, uncertainty, and even trepidation felt by many of us in this room. Welcome back!

Logical problem of the day: 854-917-6320

https://pollev.com/slade You may also download the app to your phone. Use the "slade" poll id. Note: you do not need to register. The polleverywhere responses are not graded.

Lecture 0: Introductory Lecture. 8/28

Discussion of Course and Instructor: Stephen Slade

• Biography. Hybrid: academia (theory) / industry (practice).
  • Yale undergraduate. music major. (studied CS with Alan Perlis)
  • Developed computer systems for presidential campaigns and the White House, introducing electronic mail to campaigns and the internet to the White House. (stephen.slade@whitehouse.gov)
  • Yale graduate student, M.S., Ph.D., computer science (artificial intelligence)
  • Yale Computer Science Department: Assistant Chairman, Assistant Director of the Yale AI Project, Lecturer.
  • Connected Yale to the Internet.
  • NYU Stern School of Business, Department of Information Systems, Assistant Professor.
  • Wrote three books (T/Scheme, LISP, decision making) - dedicated to Yale alumnae.
  • Developed investment and risk technology systems for Wall Street. Sell side (Morgan Stanley), Buy side (INVESCO, Bank of America, Commonfund)
• Syllabus,
• Note: You will be required to learn UNIX, as well as Python. Questions about UNIX will appear on all exams.
• Other courses to consider:
  • CS 100. Introduction to Computing and Programming.

    Ozan Erat
    HTBA.

    Introduction to the intellectual enterprises of computer science and to the art of programming. Students learn how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript, plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. See CS50's website, https://cs50.yale.edu for additional information.

  • CS 110. Python Programming for Humanities and Social Sciences.

    Sophie Park
    MW 11:35am - 12:50pm, plus sections.

    Introduction to computer science and Python programming with domain-specific applications. Students learn how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, web development, and statistical tools. Students learn to apply computing techniques in the fields of social sciences & humanities by analyzing data. No previous programming experience is required. This course is intended for students of social sciences & humanities majors.

  • CS 123. YData: An Introduction to Data Science.

    Ethan Meyers
    TTh 2:30pm - 3:45pm
    Computational, programming, and statistical skills are no longer optional in our increasingly data-driven world; these skills are essential for opening doors to manifold research and career opportunities. This course aims to dramatically enhance knowledge and capabilities in fundamental ideas and skills in data science, especially computational and programming skills along with inferential thinking. YData is an introduction to Data Science that emphasizes the development of these skills while providing opportunities for hands-on experience and practice. YData is accessible to students with little or no background in computing, programming, or statistics, but is also engaging for more technically oriented students through extensive use of examples and hands-on data analysis. Python 3, a popular and widely used computing language, is the language used in this course. The computing materials will be hosted on a special purpose web server.

  • CS 200. Introduction to Information Systems.

    Stephen Slade
    MW 2:30 - 3:45pm.

    The real-world artifacts and implementations that comprise the vital computational organisms that populate our world. Hardware and software and the related issues of security, privacy, regulation, and software engineering. Examples stress practical applications of technology, as well as limitations and societal issues.

    Note: CS 200 satisfies the prerequisite for CS 223 and the Certificate in Programming. However, if you intend to major in Computer Science, you should enroll in CS 201.

  • CS 201. Introduction to Computer Science. (This course. Note recursion.)

    Stephen Slade
    MWF 10:30-11:20am.

    Introduction to the concepts, techniques, and applications of computer science. Topics include computer systems (the design of computers and their languages); theoretical foundations of computing (computability, complexity, algorithm design); and artificial intelligence (the organization of knowledge and its representation for efficient search). Examples stress the importance of different problem-solving methods.

    Note: CS 201 satisfies the prerequisite for CS 223 as well as the Computer Science major. However, if you do not intend to major in Computer Science, you may consider enrolling in CS 200.

If you're thinking of taking CPSC 200, please do the following.