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Computer Systems Lab TJHSST
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Philosophy Creativity Opensource accessibility to knowledge Research
Information and resource availability 2
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TJ Techlabs Astronomy Co-req: Astronomy - The Universe or Solar System
Automation and Robotics Recom: Princ. of Robotics I, II, Analog/Digital Elec., Pre-engineering, Prototype Dev. Chemical Analysis Pre-req: AP Chemistry Computer Assisted Design Pre-req: CAD, Recom: Arch. Drawing, Engineering Drawing, Pre-engineering 3
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TJ Techlabs Computer Systems Pre-req: AP Computer Science
Recom: Intro. to AI, Comp. Arch, Supercomputer Apps Energy Systems Recom: Pre-engineering, Analog Elec., Nature of Materials, CAD Biotechnology Pre-req: Bio elective, Bio-tech elective, or Chem. elective, Recom: DNA Science 1 Microelectronics Recom: Analog, Digital, or Audio Electronics, or Microprocessor Design 4
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TJ Techlabs Oceanography and Geophysics Recom: Marine Biology
Optics and Modern Physics Recom: Advanced Optics Apps or Quantum Mechanics and Dev. in Modern Physics Prototyping and Engineering Materials Recom: Prototype Dev. and Processing or Nature of Materials Video Technology Pre-req: Videotech and Communications Recom: Analog Electronics, Audio Electronics, or Photography 5
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TJ Techlabs - Portfolio Skills We Stress
Writing – Technical Research Paper Visual presentation – Digital poster Oral presentation – PPT slides of the research Research Long term project development – iterative models Working individually and in teams Record keeping Peer evaluation 6
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Electives – Computer Systems Lab
Artificial Intelligence High Performance Computing and Supercomputer Applications Computer Architecture Comparative Languages 7
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Computer Science at TJHSST
Full four-year sequence in Computer Science. The Computer Science Team is part of the Math/CS Division and the Computer Systems Lab is part of the Science and Technology Division. Our collective goal is to provide a world class Computer Science education to our students and to disseminate curriculum materials to other academic institutions. 8
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Computer Science at TJHSST
Introduction to Computer Science A mandatory course for all TJ students, the intro. course assumes no prior programming experience. Students study object-oriented programming and develop fundamental programming skill. In preparation for the AP course, Java is the language of instruction. 9
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Computer Science at TJHSST
AP Computer Science An elective course available to all students who have completed Introduction to Computer Science, APCS follows the College Board topic outline. This course carries an additional 0.5 quality point in GPA calculation and pepares students to take the APCS Exam given each May. 10
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Computer Science at TJHSST
Accelerated Computer Science A non-traditional route designed for experienced programmers only, this course requires exceptional problem solving skills (by TJ standards). 11
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Computer Science at TJHSST
Summer School How better to spend five weeks of summer than learning Computer Science with 140 of your closest TJ friends. A great way to fit more into your cramped schedule, the summer school program thrives because of students aides (upperclassmen, apply early). An accelerated class is usually formed during the second week. Not only is there an ice cream social and a pizza party, but you may even get to work with teachers from outside TJ. 12
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Computer Science at TJHSST
Artifical Intelligence A half-credit semester course requiring APCS as a prerequisite, students program in Python in a Linux environment. This class carries the same extra grade point value as an AP course. Computer Architecture A half-credit semester course requiring APCS as a prerequisite, students program in C in a Linux environment. This class carries the same extra grade point value as an AP course. 13
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Computer Science at TJHSST
Supercomputer Applications A half-credit semester course with a suggested APCS prerequisite, students program in C and Fortran in multiple UNIX environments. This class will get you an account on our Cray SV1 supercomputer. Comparative Languages A half-credit semester course with a suggested APCS prerequisite, students program in Python, LISP, C++, Prolog, Smalltalk, ML and other exotic tongues in a Linux environment. Veni, vidi, vici. 14
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Computer Science at TJHSST
Senior Tech Lab One credit in Technology Independent Research, such as this course in Computer Systems Research, is required for graduation from TJ. 15
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Artificial Intelligence
Search techniques for problem solving Uninformed: depth first, breadth first Heuristic: hill climbing, best first, A Star Game playing and adversarial search Minimax trees Alpha-beta pruning Machine Learning Evolutionary computation, genetic algorithms 16
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Supercomputer and High Performance Computing
Parallel Computing Speedup of processing: Time/# of processors Sorts, searches, image processing across matrices, fractal images MPI – Message Passing Interface Message sending topologies, ring/broadcast Time vs number of processors Computer Graphics in OpenGL 3D transformations, lighting for realism 17
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Computer Architecture
Organization of Computer Systems High level language implementations down to the digital logic level SPIM simulator for assembly language History of the development of computing machines Evaluate current platforms Analyze future forecasts 18
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Comparative Languages
Evolution of programming languages Syntax and semantics representation Machine parsing of grammars, building a compiler Some issues: Exception handling, Concurrency, Garbage collection Language approaches: imperative, object oriented, functional, logic based 19
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Comparative Languages
Scheme functional programming language and a dialect of Lisp. It was developed in the 1970s, MIT. Lisp, 1958, is the second-oldest high-level programming language in widespread use today; only Fortran is older. Smalltalk object oriented programming language designed at Xerox PARC (Xerox Palo Alto Research Center) by Alan Kay and others during the 1970s...great influence on the development of many other computer languages 20
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Comparative Languages
Prolog Programmation en logique (French for "logic programming"), created by Alain Colmerauer around 1972 to make a programming language enabling the expression of logic instead of specified instructions on the computer. ML functional programming language developed by Robin Milner and others in the late 1970s at Edinburgh University. CMU 21
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Comparative Languages
C programming language low-level standardized programming language developed in the early 1970s by Ken Thompson and Dennis Ritchie for use on the UNIX operating system. Fortran compiled, programming language originally developed in the 1950s and still heavily used for scientific computing and numerical computation half a century later. 22
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Comparative Languages
Python interpreted, interactive programming language created by Guido van Rossum in Used in our AI course. Ruby object-oriented language, combines syntax inspired by Ada and Perl with Smalltalk-like features, also shares some features with Python, Lisp. Ruby's an interpreted language created by Yukihiro "Matz" Matsumoto, began working on Ruby on February 24, 1993 and released to the public in 1995. 23
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GMU Collaborations CS 635 Foundations of Parallel Computing
Fall 2004, Dr. Pearl Wang CS 363 Comparative Programming Languages Spring 2005, Dr. Elizabeth White CS 499 Autonomous Robotics Spring 2005, Dr. Sean Luke MASON Multiagent Simulation Toolkit Evolutionary Computation, Dr. Sean Luke 24
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GMU Collaborations Center for Social Complexity
Dr. Claudio Cioffi-Revilla CSS 600 Introduction to Computational Social Science CSS 610 Computational Analysis of Social Complexity CSS 640 Human and Social Evolutionary Complexity CSS 643 Land-Use Modeling Techniques and Applications 25
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GMU Collaborations Center for Social Complexity
Dr. Claudio Cioffi-Revilla, Dr. Ann Palkovich CSS 600 Introduction to Computational Social Science CSS 610 Computational Analysis of Social Complexity CSS 640 Human and Social Evolutionary Complexity CSS 643 Land-Use Modeling Techniques and Applications CSS 645 Spatial Agent-based Models of Human- Environment Interactions CSS 650 Physics Methods for Analyzing Social Complexity CSS 660 Computational Social Science of Spacefaring Civilization 26
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Computer Systems Research Goals for Students
Pursue an individual or group research project in computer science Write a formal research paper in support of the project Develop presentation skills in support of the project Maintain records of individual effort and progress 27
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Computer Systems Research Lab Requirements
Project proposal Formal research paper Oral presenations Poster display Project website/notebook folder Logs 28
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Computer Systems Research 1st Quarter
Gather preliminary background materials, references Develop formal project proposal Feasability of subject matter, scope Algorithms, language(s), software tools Open ended, what can be accomplished this year Begin writing programs experimenting with algorithms Oral report on your proposal 29
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Computer Systems Research 2nd Quarter
Expanding upon research, reference materials Expand program in support of research goals Develop digital poster display Research paper preliminary: Title, Abstract, Introduction/Background Oral presentation on your poster 30
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Computer Systems Research 3rd Quarter
Begin finalizing computer programs, models Summarization of data collected, tests, results Draft of your research paper Title, Abstract, Introduction, Background Development sections, what you've actually done Preliminary results, conclusions 31
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Computer Systems Research 4th Quarter
Final version of your research paper LaTeX, PDF, PS, HTML Final version of your digital poster Visuals – graphs, charts, screenshots Oral presentation of project 32
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Computer Systems Research Resources
Research examples from universities Computer Science research areas Writing a research paper Mayfield Publications LaTeX, PDF Writing a proposal Intel and Westinghouse example projects Gantt charts/Time lines 33
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Computer Systems Research Iterative Development Model
Periodic Iteration Progress reports See extremeprogramming.org Plan, design, goal of this iteration Pseudo code versions, sketches Commented code Testing, validation of this iteration's code What to change, develop for next iteration Any users for feedback? 34
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Computer Systems Research Peer/Faculty Review
Peer assessments of research progress, poster and paper feedback Appropriate title, abstract? Introduction, does it lead the reader into the body of the paper, define the research being presented, provide background? Research theory, code content, testing and validation – how clearly are the algorithms and theory stated, thorough testing, analysis? 35
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Computer Systems Research Peer/Faculty Review
Student Posters and Papers 4/posters05.html or see top of 36
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Computer Systems Research Research Writing Resources
Mayfield Handbook for Technical and Scientific Writing Detailed online resource Elements of Technical Documents Front matter, Body, End matter 37
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Intel Science Talent Search Sieman's Westinghouse Comp.
Review of Abstracts, Titles from recent years Which are applicable to computer science? 38
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Linux Resources and Software Tools – Opensource availability
Programming C/C++, Java, Fortran, Python, Lisp PHP, Perl, HTML for WWW OpenGL – computer graphics Image processing – Gimp 2D/3D analysis - Gnuplot Openoffice for ppt, publishing LaTex, PDF, PS for scientific writing “planner” - Gantt charts, “dia” - flow charts, network diagrams, UML – objects, electronic diagrams... 39
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Computer Systems Lab Hardware
Linux workstations Mosix Cluster (being constructed) Cray SV1, 16 processors C, Fortran, vector processing Parallel programming, MPI, PVM 40
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Computer Systems Lab Accessing from Home
WinSCP – Transfer files from Windows to the Lab Putty.exe – work from home, connected from Windows/Macs to Linux here “Compatable” software with Windows/Macs 41
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Computer Systems Lab Project Areas 2004-05
Algorithms Variants of Red-Black Trees Agent-based modeling of complex systems A Study of Microevolution Modeling of Evolutionary Systems Modeling of Evacuation Centers Traffic Modeling Model of the Decomposition of the Atmosphere 42
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Computer Systems Lab Project Areas 2004-05
Modeling of Complex Systems (cont.) Saturnian Moon System Robot Swarms Sabermetrics: Statistical Modeling in Baseball A Bowling Ball in Action Machine Learning, Evolutionary Computation Machine Learning to Develop a Game Playing Strategy Can a Robot Learn to Walk Assessment of Sorting Parts by Variable Slot Width 43
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Computer Systems Lab Project Areas 2004-05
Natural Language Processing, Computational Linguistics Part of Speech Tagging with Training Corpora Example: “Hospitality NN is BEZ an AT excellent JJ virtue NN” NN: singular common noun, BEZ: is, AT: article, JJ: general adjective Computational Comparative Diachronic Historical Linguistics Systems Programming, Development Kernel Debugging API Library 44
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Computer Systems Lab Project Areas 2004-05
Computational Biology Investigation of Implementations of DNA Sequence Pattern Matching Algorithms (BLAST) Computer Architecture Construction and Application of a Beowulf Cluster 45
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Computer Systems Lab Project Areas 2004-05
Computer Graphics Polygon Mesh Rendering (03-04) Creating a 3D Game with Textures and Lighting Car Simulation and Modeling Computer Music Genetic Algorithm Music Composer Software Development Software Development Team 46
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Computer Systems Lab Mentorship Opportunities
Naval Research Lab Artificial Intelligence Robotics Labs Computer Vision, Image Processing Virtual Technologies Software Development GMU – Center for Social Complexity Agent based modeling 47
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Computer Systems Lab Mentorship Opportunities
UUnet Internet, Network programming 7 layers of Internet protocol GMU – Computer Science Department Artificial Intelligence, Robotics Labs Computer Vision, Image Processing Walter Reed Army Intstitute NIH Biotech, image processing programming 48
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Computer Systems Lab Mentorship Opportunities
Semi-Autonomous Control of a Segway Robotic Mobile Platform - NRL The Effect of Sound Distortion on Hearing Perception - NRL Development of a Web Interface for Accessing Chemical Information in Thor and Informix Databases – Walter Reed Army Institute Development of a Data Measuring Application for Federates Used in Simulations – Virtual Technologies 49
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