The PUNLAG seminar is intended to supplement the numerical linear algebra course sequence at Purdue. The standard course CS515 doesn't have room for a number of interesting problems -- we hope to cover some in this seminar!
This archive holds videos of past Fields lectures. Lectures are archived in two formats.The interactive format, viewed in a flash-player-enabled desktop web browser, allows you to zoom in and out on specific areas of the blackboards or screens (providing a viewing experience more like being present in the room). The static format, although it does not allow for zooming in to read small blackboard writing, is downloadable and compatible with a wide variety of desktop and mobile video players.
- survey several important computational problems for which the traditional worst-case analysis of algorithms is ill-suited
- study systematically alternatives to worst-case analysis
The textbook An Introduction to the Analysis of Algorithms by Robert Sedgewick and Phillipe Flajolet overviews the primary techniques used in the mathematical analysis of algorithms.
The textbook Analytic Combinatorics by Philippe Flajolet and Robert Sedgewick enables precise quantitative predictions of the properties of large combinatorial structures.
Learn to make the most of the tools that hackers have been using for decades.
As hackers, we spend a lot of time on our computers, so it makes sense to make that experience as fluid and frictionless as possible. In this class, we’ll help you learn how to make the most of tools that productive programmers use.
We’ll show you how to navigate the command line, use a powerful text editor, use version control efficiently, automate mundane tasks, manage packages and software, configure your desktop environment, and more.
- Special Relativity
- Quantum Theory
- Quantum Mechanics
- Quantum-Mechanical Theory of Atoms
- Chemical Bonds and Solid-State Physics
- Nuclear Physics
- Particle Physics
- Atomic Structure and Molecules
- Kinetic Molecular Theory and Chemical Reactions
- Thermodynamics
- Calorimetry and Colligative Properties
- Solutions, Solvents and Solubility
- Acid and Base Reactions
- Electrochemistry
- Cell Structure and Viruses
- Enzyme Activity and Cell Respiration
- Cell Cycle, Reproduction and Embryology
- Genetics
- Nervous and Musculoskeletal System
- Endocrine System
- Digestive and Excretory Systems
- Cardiovascular and Respiratory Systems
- Immune System
This course covers the design and implementation of distributed systems. Students will gain an understanding of the principles and techniques behind the design of modern, reliable, and high-performance distributed systems. Topics include server design, network programming, naming, concurrency and locking, consistency models and techniques, security, and fault tolerance. Modern techniques and systems employed at some of the largest Internet sites (e.g., Google, Facebook, Amazon) will also be covered. Through programming assignments, students will gain practical experience designing, implementing, and debugging real distributed systems.