1 - 4 of 4 results for: CS107

Introduction to the fundamental concepts of computer systems. Explores how computer systems execute programs and manipulate data, working from the C programming language down to the microprocessor. Topics covered include: the C programming language, data representation, machine-level code, computer arithmetic, elements of code compilation, performance evaluation and optimization, memory organization and management, and concurrency and threading. Prerequisites: 106B or X, or consent of instructor.

Automated processing of less structured information: human language text and speech, web pages, social networks, genome sequences, with goal of automatically extracting meaning and structure. Methods include: string algorithms, automata and transducers, hidden Markov models, graph algorithms, XML processing. Applications such as information retrieval, text classification, social network models, machine translation, genomic sequence alignment, word meaning extraction, and speech recognition. Prerequisite: CS103, CS107, CS109.

Course charts development path for a large scale modern web service. Resource efficiency demands a single developer should be able to build, test and deploy a single codebase using only open source tools and libraries. Difficult to accomplish in practice due to variety of skill sets needed for UI, client, server and database coding. Course framework presented offers solution that does not sacrifice long term scalability and maintenability for rapid development cycles and easy prototyping. Programming projects provide overview of technologies and critical contraints. Prerequisites: CS107, CS108.