Understanding what modern code analysis and transformation techniques can and can't do is a prerequisite for research on both software engineering and computer architecture since hardware relies on software to realize its potential. Students work together on a project with clinicians and faculty in medicine, building a unique mHealth system while testing their system on a small population. �f�{�f_-��vM����NmFh��� W}��#

Topics typically include Bayesian learning, decision trees, genetic algorithms, neural networks, Markov models, and reinforcement learning.

The CS+LS Program at Northwestern is a learning community made up of graduate students, research Prerequisites: CS 351 and CS/CSEC 371.

Before releasing its mobile apps, Facebook submits them to a tool called Infer that finds bugs by static analysis, i.e., without even having to run the code, and guides developers in fixing them. Cannot be applied to the computer science master's program. Teams competing in the SubT Challenge are tasked with creating a robotics system that can successfully navigate underground tunnels, urban transportation systems and natural caves. Substantial programming and project work.Principles and practices of knowledge representation, including logics, ontologies, commonsense knowledge, and semantic web technologies.Introduction to design of simulation-based media, with an emphasis on 2D game design. Data structures and programming languages.

The material in the course builds on that knowledge via a series of semantics preserving transformations that start with a fairly high-level programming language and culminate in machine code.Fast, highly sophisticated code analysis and code transformation tools are essential for modern software development. Haijie Chen's 35 research works with 371 citations and 2,024 reads, including: Antiferromagnetic Semiconductor BaFMn0.5Te with Unique Mn Ordering and Red Photoluminescence %���������

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Introduction to key parts of programming languages: syntax, semantics, and pragmatics. Use of existing database systems for the implementation of information systems.A top-down exploration of networking using the five-layer model and the TCP/IP stack, covering each layer in depth. Undergraduate student enrollment by permission of instructor only.NUvention: Web is an interdisciplinary experiential learning program designed to expose students to the entire product and business development life cycle for a software company.NUvention: Web is an interdisciplinary experiential learning program designed to expose students to the entire product and business development life cycle for a software company.Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning.
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Pattern-directed rule systems, truth-maintenance systems, and constraint languages.Basic principles behind distributed systems (collections of independent components that appear to users as a single coherent system) and main paradigms used to organize them.Core techniques and applications of AI. Equivalent to 396 but intended to apply toward courses for the computer science major.Explores the use of tangible interaction to create innovative learning experiences, including distributed cognition, embodied interaction, cultural forms, and design frameworks.Design of computer-based "learning-by-doing" environments. Project-oriented approach.
Prerequisite: CS 101 or 114. Credit cannot be given for both CS 483, and CS 470 or IS 342. Key application areas: auctions, markets, networking protocols.Fundamental overview of operating systems, including: concurrency (processes, synchronization, semaphores, monitors, deadlock); memory management (segmentation, paging virtual memory policies); software system architectures (level structures, microkernals); file systems (directory structures, file organization, RAID); protection (access control, capabilities, encryption, signatures, authentication). 4 0 obj

Graphic applications.Methods and theory of computer graphics. Since you know what you're getting into, plan what CS classes to take when you're doing three so they're not all hard (examples of hard classes: algorithms or 213), and more manageable (like 330) -- and it's not so bad. Software, operating system, and network security techniques, with detailed analysis of real-world examples. Equivalent to 397 but intended to apply toward courses for the computer science major and its project requirement.Topics suggested by faculty and approved by the department. Substantial programming assignments.Introduction to human-computer interaction and design of systems that work for people and their organizations.

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