Confidence Interval for Average from the course Introduction to Statistics

This course covers population and variables; Standard measures of location, spread and association; Normal approximation; Regression. Probability and sampling: Binomial distribution. Interval estimation; Some standard significance tests.

Review 2 - Computer Science 61A Fall 2007

Review 2. From CS 61A The Structure and Interpretation of Computer Programs - Fall 2007. Introduction to programming and computer science. This course exposes students to techniques of abstraction at several levels: (a) within a programming language, using higher-order functions, manifest types, data-directed programming, and message-passing; (b) between programming languages, using functional and rule-based languages as examples. It also relates these techniques to the practical problems of imp

Spartan Sagas: Patrick Kelly

Hi, my name is Patrick Kelly and I am from Birmingham, Michigan. Birmingham is a city 20 minutes north of Detroit. In Birmingham I attended Seaholm High School. After graduating from Seaholm I attended Marymount University, which is located in Arlington, Virginia. I went to Marymount for two years and made the transfer to Michigan State University. I am now going into my senior year at MSU.
My Spartan saga is one that I am just starting up. I am fortunate enough to be able to have a job that a

Hybrid Systems 1

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

State II

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

Linearity

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

Signals II

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

Signals I

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

Determinism

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

Hybrid Systems III

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

Responses

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

Determinism III

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

Responses III

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

Responses II

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

Review - Structure and Interpretation of Signals and Systems

Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,

Introduction - CS 61C Machine Structures Fall 2007

Machine Structures - Fall 2007. The CS61 series is an introduction to computer science, with particular emphasis on software and on machines from a programmer's point of view. The first two courses considered programming at a high level of abstraction, introducing a range of programming paradigms and common techniques. This course, the last in the series, concentrates on machines and how they carry out the programs you write. The main topics of CS61C involve the low-level system software and th

Implementing Mutual Exclusion, Semaphores, Monitors, and Condition Variables Fall 2007

Operating Systems and System Programming - Fall 2007. The purpose of this course is to teach the design of operating systems and other systems. Topics we will cover include concepts of operating systems and systems programming; utility programs, subsystems, multiple-program systems; processes, interprocess communication, and synchronization; memory allocation, segmentation, paging; loading and linking, libraries; resource allocation, scheduling, performance evaluation; I/O systems, storage devic

Hierarchical Data 1 - Computer Science 61A Fall 2007

Hierarchical Data 1. From CS 61A The Structure and Interpretation of Computer Programs - Fall 2007. Introduction to programming and computer science. This course exposes students to techniques of abstraction at several levels: (a) within a programming language, using higher-order functions, manifest types, data-directed programming, and message-passing; (b) between programming languages, using functional and rule-based languages as examples. It also relates these techniques to the practical prob

Review 1 - Computer Science 61A Fall 2007

Review 1. From CS 61A The Structure and Interpretation of Computer Programs - Fall 2007. Introduction to programming and computer science. This course exposes students to techniques of abstraction at several levels: (a) within a programming language, using higher-order functions, manifest types, data-directed programming, and message-passing; (b) between programming languages, using functional and rule-based languages as examples. It also relates these techniques to the practical problems of imp

Processor Pipelining I Fall 2007

Machine Structures - Fall 2007. The CS61 series is an introduction to computer science, with particular emphasis on software and on machines from a programmer's point of view. The first two courses considered programming at a high level of abstraction, introducing a range of programming paradigms and common techniques. This course, the last in the series, concentrates on machines and how they carry out the programs you write. The main topics of CS61C involve the low-level system software and th