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Computer Systems Lab TJHSST

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Computer Systems Lab TJHSST Philosophy Creativity Opensource accessibility to knowledge Research Information and resource availability TJ Techlabs Astronomy Co-req ... – PowerPoint PPT presentation

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Title: Computer Systems Lab TJHSST


1
Computer Systems Lab TJHSST
2
Philosophy
  • Creativity
  • Opensource accessibility to knowledge
  • Research
  • Information and resource availability

2
3
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
4
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
5
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
6
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
7
Electives Computer Systems Lab
  • Artificial Intelligence
  • High Performance Computing and Supercomputer
    Applications
  • Computer Architecture
  • Comparative Languages

7
8
Computer Science at TJHSST
  • http//www.tjhsst.edu/compsci
  • 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
9
Computer Science at TJHSST
  • http//www.tjhsst.edu/compsci
  • 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
10
Computer Science at TJHSST
  • http//www.tjhsst.edu/compsci
  • 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
11
Computer Science at TJHSST
  • http//www.tjhsst.edu/compsci
  • Accelerated Computer Science
  • A non-traditional route designed for experienced
    programmers only, this course requires
    exceptional problem solving skills (by TJ
    standards).

11
12
Computer Science at TJHSST
  • http//www.tjhsst.edu/compsci
  • 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
13
Computer Science at TJHSST
  • http//www.tjhsst.edu/compsci
  • 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
14
Computer Science at TJHSST
  • http//www.tjhsst.edu/compsci
  • 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
15
Computer Science at TJHSST
  • http//www.tjhsst.edu/compsci
  • Senior Tech Lab
  • One credit in Technology Independent Research,
    such as this course in Computer Systems Research,
    is required for graduation from TJ.

15
16
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
17
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
18
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
19
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
20
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
21
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
22
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
23
Comparative Languages
  • Python
  • interpreted, interactive programming language
    created by Guido van Rossum in 1990. 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
24
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
25
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
26
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
27
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
28
Computer Systems Research Lab Requirements
  • Project proposal
  • Formal research paper
  • Oral presenations
  • Poster display
  • Project website/notebook folder
  • Logs

28
29
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
30
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
31
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
32
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
33
Computer Systems Research Resources
  • 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
34
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
35
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
36
Computer Systems Research Peer/Faculty Review
  • Student Posters and Papers 2005 -
  • http//www.tjhsst.edu/rlatimer/assignments2004/po
    sters05.html
  • or see top of www.tjhsst.edu/rlatimer

36
37
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
38
Intel Science Talent Search Sieman's Westinghouse
Comp.
  • Review of Abstracts, Titles from recent years
  • Which are applicable to computer science?

38
39
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
40
Computer Systems Lab Hardware
  • Linux workstations
  • Mosix Cluster (being constructed)
  • Cray SV1, 16 processors
  • C, Fortran, vector processing
  • Parallel programming, MPI, PVM

40
41
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
42
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
43
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
44
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
45
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
46
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
47
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
48
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
49
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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