Computer Engineering Commons^™

Cs 399: Iphone Programming Ii, Erik Marlow Buck

Computer Science & Engineering Syllabi

Students will develop: additional competency developing software for iOS devices including any of iPhone, iPod Touch, or iPad, understanding of framework, language, and operating system support for multi-threaded programming, understanding of robust network communication approaches, understanding of sensors and location technologies with tradeoffs for accuracy, speed, and user privacy, competency integrating sensors, image processing, and networking to implement augmented reality applications.

Cs 712: Advanced Topics In Ai - Foundations And Algorithms, Shaojun Wang

Computer Science & Engineering Syllabi

This course will provide an in-depth examination of the boosting approach to machine learning, with emphasis on theoretical foundations. Likely topics include some or all of the following:

general foundations of machine learning

analysis of training error

direct analysis of generalization error

margins theory

connections to game theory and online learning

boosting as loss minimization

relation to information geometry

practical extensions

universal consistency

optimally efficient boosting

boosting in continuous time

Cs 405/605: Introduction To Database Management Systems, Keke Chen

Computer Science & Engineering Syllabi

This course will cover the following topics: (1) Logical and physical aspects of database management systems (2) Data models including entity-relationship (ER) and relational models (3) Physical implementation (data organization and indexing) methods. (4) Query languages including SQL and relational algebra. (4) High level concepts: transactions, relation normalization, and security and privacy. Students will gain experience in creating and manipulating a database, and gain knowledge on professional and ethical responsibility and on the importance of privacy/security of data.

Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Analee Marlenee Miranda

Computer Science & Engineering Syllabi

Introduction to numerical methods used in the sciences and engineering. Included will be methods for interpolation, data smoothing, integration, differentiation, and solution of systems of linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications to science, engineering and applied mathematics are an integral part of the course. Special topics presented as schedule permits. Four hours lecture.

Cs 350/550: Computational Tools And Techniques For Data Analysis, John C. Gallagher

Computer Science & Engineering Syllabi

CS 350/550 is an introduction to the representation, visualization, and modeling of large data sets using standard, high-level software tools. The course is designed to expose students to tools and methods useful to conduct analysis of large data sets often encountered in science and engineering pursuits. The goal of this course is to help students understand how they might summarize and interpret data, identify non-trivial facts and patterns in that data, and how to make predictions based on that data. Topics include summarizing data, making predictions from data, and finding hidden relationships in data. Familiarity with spreadsheet software is assumed …

Cs 340: Programming Language Workshop In Scala, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course is designed as a self-study in Scala. You are expected to learn the language and solve a set of programming problems assigned to you using Scala available from http://www.scala-lang.org/. There are no exams. We officially meet only once in the quarter. However, I will be available in the posted office hours for clarifications and discussions about the programming problems.

Cs 470/670: System Simulation, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 4120/6120-01: Managing The Software Process, John A. Reisner

Computer Science & Engineering Syllabi

This course will cover some of the challenges and issues associated with software project management. Emphasis will occur on two fronts: (1) the software project manager's view (that is, what considerations and obstacles confront project managers during software development), and (2) the organizational view (that is, how organizations can foster a climate where software project management is performed effectively throughout an organization).

Ceg 416-01: Matrix Computations, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modern software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to applications areas such as structural analysis, heat transfer, neural networks, mechanical vibrations, and image processing in biomedical engineering. A familiarity with MATLAB is useful, and the ability to program in languages such as CIC++ or Fortran is very important. A basic knowledge of matrix algebra is …

Ceg 260-01: Digital Computing Hardware/Switching Circuits, Meilin Liu

Computer Science & Engineering Syllabi

We will discuss and cover basic digital, combinational and sequential logic systems. Labs will be used to gain valuable practical experience in implementing elementary circuits and logic designs.

Ceg 320/520-01: Computer Organization, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 402/602-01: Introduction To Computer Communication, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 751-01: Microprocessors Ii, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 498-01: Team Projects I And Ii, John C. Gallagher

Computer Science & Engineering Syllabi

CEG 498 (Team Projects I and II) is a summative computer engineering design project course that builds upon previous engineering, science, mathematics and communications course work. CEG 498 projects are a minimum of two quarters in length and must be completed in groups of at least three students. Projects are selected under the guidance of the course instructor and are tailored to both student interest and formal classroom preparation. Students are evaluated both on their individual contributions as recorded in a graded engineering journals and on the quality of their collective efforts as reflected in group generated products.

Ceg 4120/6120: Managing The Software Process, John A. Reisner

Computer Science & Engineering Syllabi

This course will cover some of the challenges and issues associated with software project management. Emphasis will occur on two fronts: (1) the software manger's view (that is, what considerations and obstacles confront project managers during software development), and (2) the organizational view (that is, how organizations can foster a climate where software project management is performed effectively throughout an organization).

Ceg 233-01: Linux And Windows, Prabhaker Mateti

Computer Science & Engineering Syllabi

Introduction to Linux and Windows systems. GUI and Windowing Systems. Files and Directories, Ownership and Sharing. Programs and Processes. System calls, Libraries. Loading. Dynamic linking. Command Line Shells. Scripting languages. Regular expressions. Clients and Servers. Web browser clients and servers. Secure shell, sftp. SSUTSL. HTTPS. System Administration. 4 credit hours. 3 hours lectures, 2 hours labs.

Ceg 220-90: Introduction To C Programming For Engineers, Jay Dejongh

Computer Science & Engineering Syllabi

This course provides a general introduction to computers as a problem-solving tool using the C programming language. Emphasis is on algorithms and techniques useful to engineers. Topics include data representation, debugging, and program verification. 4 credit hours. Prerequisite: MTH 229 (Calculus I) or EGR 101 (Engineering Mathematics). The course includes a scheduled laboratory section for which you must register.

Ceg 220-01: Introduction To C Programming For Engineers, Jay Dejongh

Computer Science & Engineering Syllabi

This course provides a general introduction to computers as a problem-solving tool using the C programming language. Emphasis is on algorithms and techniques useful to engineers. Topics include data representation, debugging, and program verification. 4 credit hours. Prerequisite: MTH 229 (Calculus I) or EGR 101 (Engineering Mathematics). The course includes a scheduled laboratory section for which you must register.

Ceg 429/629-01: Internet Security, Prabhaker Mateti

Computer Science & Engineering Syllabi

Introduction to security issues arising primarily from computer networks. Topics include node and service authentication, address spoofing, hijacking, SYN floods, smurfing, sniffing, routing tricks, and privacy of data en route. Buffer overruns and other exploitation of software development errors. Hardening of operating systems. Intrusion detection. Firewalls. Ethics. Prerequisites: CEG 433

Ceg 726-01: Pattern Recognition, Arthur A. Goshtasby

Computer Science & Engineering Syllabi

This course will cover fundamentals of Pattern Recognition, including supervised learning and clustering.

Cs 271/Bio 371: Introduction To Bioinformatics, Michael L. Raymer, Dan E. Krane

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 461/661-01: Object-Oriented Programming And Design, Thomas C. Hartrum

Computer Science & Engineering Syllabi

Study of object-oriented design and programming. Programming topics emphasize the core concepts of encapsulation, inheritance, polymorphism, and dynamic binding. Additional topics include class organization, software maintenance, and design of reusable components. There is a project to be implemented in a modem object-oriented language such as Java or C++.

Ceg 770-01: Computer Engineering Mathematics, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Cs 499/699: Cloud Computing, Keke Chen

Computer Science & Engineering Syllabi

This is an introductory course to cloud computing. In this course, we will explore a few aspects of cloud computing: distributed data crunching with MapReduce, cloud and datacenter filesystems, virtualization, cloud security&privacy, Amazon Web Services, and interactive web-based applications. Students are expected to read extra materials including papers and online resources, finish several mini projects, and take the final exam. Participation in the class discussion is strongly encouraged. Guest speakers might be invited for some particular topics. (3 Hours Lecture + 1 Hour lab).

Cs 399-01: Ios Programming, Erik Marlow Buck

Computer Science & Engineering Syllabi

No abstract provided.

Cs 415: Social Implications Of Computing, Leo Finkelstein

Computer Science & Engineering Syllabi

CS 415 is a communication skills course using as its subject matter current salient issues associated with the social implications of computing. In addition to the course text, you will need to use certain reading materials in the library and elsewhere, and you will be responsible for using concepts and theories provided in class and lectures and discussions.

Cs 206-01: Computer Software Productivity Tools, John P. Herzog

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including advanced topics in spreadsheets, database and presentation graphics, using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of advanced computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.

Cs 466/666: Introduction To Formal Languages, Guozhu Dong

Computer Science & Engineering Syllabi

CS 466/666 is an introduction to formal language and automata theory. In this course we will examine methods for defining syntax of languages and recognizing patterns in strings/sentences: the syntax of languages can be defined using grammars and the patterns can be accepted by finite state machines. Along with presenting the fundamentals of these two topics, the course will develop and investigate the relationships between language definition mechanisms and pattern recognition devices. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science, by Thomas Sudkamp.

Robot X, Alan Truong, Alex Haag

Computer Engineering

The following report outlines the design decisions behind Robot X for the 2012 Cal Poly Roborodentia competition held annually during Open House. This investigation includes detailed overview of Robot X's sensory system, driving system, conveyor belt system, and can compartment system. In addition, basic hardware and software design are explored.

Corrosion Rate Of Carbon Steel For Flowline And Pipeline As Transmission Pipe In Natural Gas Production With Co2 Content, Andi Rustandi, Muhammad Adyutatama, Enriko Fadly, Norman Subekti

Makara Journal of Technology

The purpose of this research is to investigate the corrosion rate of carbon steel as flowline and pipeline in natural gas production with CO2 content. The influence of variety of conditions that represent the actual conditions in practice such as CO2 partial pressure and solution composition, particularly NaCl percentage were performed. Research conducted by polarization test and simulation methods using PREDICTTM software. The result of this research is used to illustrate the level of corrosion rate of typical carbon steel i.e. API 5L X-52 occurred in natural gas pipelines due to the effect of dissolved CO2. From the experiments obtained …