COS 126 Frequently Asked Questions

Is there a course website? Yes, our website www.princeton.edu/~cos126 is the basic resource for information about the course, including copies of the lecture notes and assignments.

What material is covered in COS 126? The course is a general introduction to the field of computer science, with a significant programming component. We have three primary goals. First, we want to demystify computer systems by unpeeling levels of abstraction down to the simplest physical component, leaving no black boxes. Second, we want to empower you by giving you the experience and insight necessary to exploit available technology whenever appropriate. Third, we want to build awareness of the substantial intellectual underpinnings of the field and its broad reach into other sciences. You can appreciate these ideas best if you know how to program, and you can be a more effective programmer if you understand the underlying concepts.

Are there any prerequisites? No. COS 126 is intended for novices.

I'm an engineer. Does COS 126 satisfy the SEAS computing requirement? Yes, certainly. More importantly, since it is a broad introduction to computing, it does so without limiting your choice of major or certificate afterwards.

I'm considering a certificate in COS. What class should I take? COS 126 is required for the Program in Applications of Computing. It is also the only course that serves as a prerequisite for COS 217 and COS 226.

I've never written a computer program before. Is COS 126 for me? Absolutely. It is accessible to any Princeton student with a typical high school background in math. It is especially appropriate for any student majoring in the sciences, engineering, math, or economics, although many students from all around the University enjoy taking it as well.

I already know how to program. Should I take COS 126? If you have significant programming experience (e.g., an AP 5), then you should plan to take COS 217 or 226. Email wayne@cs for approval.

Should I save COS 126 for a semester when I have a light load? Students who keep up with the work and consult course staff early when they need help report that the workload is entirely reasonable, and that the course is well worth the time invested. One of the prime goals of the course is to provide you with the basic background necessary to use computers effectively. If you get that background early, your life will be easier in your other courses, whatever your chosen major might be. One new feature of the course is that the work is now spread evenly throughout the semester (there is no final exam), leaving more time at the end for you to focus on your other courses.

I just can't fit COS 126 into my schedule. Couldn't I just find an easier course or pick up programming on my own? We have a word for the process of using a computer to attack a problem without attempting to understand the basic underlying principles: hacking. Paradoxically, as computer systems become more powerful and more complex, the limitations to problem-solving by hacking become more evident. As for your schedule, you might consider postponing some other technical course for which you have advanced placement, for example.

I've heard that COS 126 is designed to serve only COS and ELE majors and weed out others. Any truth to that? Not lately. Experienced programmers now place out of the course, and students with no prior experience wind up using computers effectively throughout their college career because of the broad foundation provided by COS 126.

Will I get personal attention in a large class? Absolutely. We have a large, experienced, energetic, and novice-friendly course staff. The average precept size is 15-18 and is typically led by a regular Princeton faculty member. We also hire enthusiastic computer science majors to provide additional technical support. The course staff has won numerous teaching awards and students consistently rate it very highly (4.6 of 5.0 in Fall 2003).

What kind of programming concepts are covered? We cover the programming fundamentals that we believe every scientist and engineer needs to know. This includes data types, flow-control, arrays, recursion, modular programming, encapsulation, and elementary data structures. Our approach to teaching these concepts is to draw examples from a diverse range of commercial and scientific applications. To the extent possible, we focus on learning to program, as opposed to learning the details about any particular programming language or environment.

Why Java? We focus attention on a minimal core subset of Java so that the programs we write are very similar to their counterparts in C, C++, C#, Python, Matlab, IDL, or any of numerous other languages. Our choice of language is not crucial, and our experience is that this approach makes it easy for you to quickly pick up new languages after completing COS 126. There is no perfect language and you certainly will find yourself programming in other languages in the future. We use Java because it is widely available, widely used, embraces a full set of modern abstractions, and has a variety of automatic checks for mistakes in programs. This makes it especially suitable for learning how to program. We also exploit Java's built-in networking and multimedia capabilities.

What kinds of applications do you consider? One of the distinguishing features of our course is the range of real-world scientific and commercial applications from which we draw examples. Some lecture examples are listed below.

• Scientific applications. Numerical integration, equation solving (Gaussian elimination, Newton's method), numerical solutions to ODEs (Lorenz's chaotic attractor, Black-Scholes option pricing), Monte Carlo simulation (gambler's ruin, diffusion limited aggregation), small world phenomenon, data analysis (Gaussian distribution, simple linear regression, histograms), and plotting (curves, Mandelbrot set).

• Commercial applications. Cryptography (one-time pads, RSA cryptosystem), data management (sorting, shuffling, searching), text processing (regular expressions, spam filtering, screen scraping), image processing, computer viruses, and networking (online chatrooms).

• Recreational applications. Six degrees of Kevin Bacon, computer graphics, games of chance, Conway's Game of Life, Towers of Hanoi, Blackjack.

What kinds of programs will I be writing? We believe the best way to learn how to program is to write code and solve real problems. We assign several substantive programming assignments where you will apply programming concepts to solve nontrivial commercial and scientific problems from scratch (typically requiring 50 - 100 lines of code). Our sequence of assignments embodies our approach to teaching programming.

• N-body simulation. Simulate and animate the motion of N heavenly bodies, mutually affected by gravitational forces by numerically solving a system of differential equations derived from Newton's laws of motion and gravity. Teaches arrays and input/output. Introduces numerical solutions to systems of ODEs.

• Genetic sequence alignment. Compute the edit distance of two genetic sequences and align them optimally. Teaches strings and dynamic programming. Introduces computational molecular biology.

• Digital signal processing. Create a data type to generate and play sound waves, apply an echo filter to an mp3 file in real-time, and plot the waves. Teaches data abstraction. Introduces signal processing.

• Recursive graphics. Create computer graphics using recursion. Teaches functions and recursion.

• Hamming codes. Write a machine language program to implement Hamming codes. Teaches machine language programming. Introduces error-correcting codes.

• Traveling salesperson. Write a greedy heuristic to find an approximately optimal solutions to the infamous traveling salesperson problem. Teaches linked lists. Introduces combinatorial optimization and intractability.

• Markov modeling. Generate stylized random text using a Markov model of natural language. Teaches graphs, Markov chains, and data abstraction.

• Barnes-Hut algorithm. The brute force N-body simulation algorithm is not practical for simulating the motion of tens of thousands of particles. Implement the Barnes-Hut algorithm and investigate the clumping of galaxies. This is a heavyweight scientific application which harnesses the true power of computers and linked data structures. It also illustrates the importance of the analysis of algorithms.

What other topics are covered? In addition to programming and scientific computing, we introduce computer architecture and the theory of computation.

• Computer architecture refers both to the art of designing computers and to the process of building them. Our goal is to demystify how a computer works. Our approach is centered on an imaginary von Neumann machine, which is simple enough to fully understand in a week, yet rich enough to capture the essential features of modern day microprocessors. We specify the machine in full detail, and develop machine language programs for familiar tasks. We continue with a treatment of circuits and logical design, culminating in a blueprint of how such a machine might be build from the ground up.

• Theory of computation refers to the mathematical and scientific underpinning of the field. We present Turing's classical results which show how simple abstract machines enable us to us pose fundamental questions about the nature of computation. This helps us understand what we can and cannot accomplish with computers. Some of these are among the most important scientific questions of our time. We pay special attention to practical outgrowths of these theories, including finite state machines, regular expressions, and how to predict the running times of our programs.

What computing courses can I take after COS 126? COS 126 is uniquely designed to prepare students for any of the intermediate level computer science courses offered in the department.

• COS 217. Introduction to Programming Systems. Design and implementation of programming system components. Programming in C and Intel IA32 assembly.

• COS 226. Algorithms and Data Structures. The most important algorithms and data structures in use on computers today. Programming in Java.

• COS 306 / ELE 206. Introduction to Logic Design. Design of digital circuits.

• COS 323. Computing for the Physical and Social Sciences. Principles of scientific computation, driven by current applications in biology, physics, economics, and engineering. Programming in Matlab, Maple, C or Java.

Can I use my own computer? Absolutely. We provide free software and detailed instructions for setting up and using a Java programming environment on your Windows, OS X, or Linux system. We also provide support for public cluster machines.