Transcript Introduction

M.S in CS
Introduction & more
by Xudong Yu
What is a topic
paper?
What is a
concentration area?
Not that I’m in, how do I get out?
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What courses should I take?
Are there any new courses to take?
What is a Course Concentration and how do I get one?
What is a Topic Paper and how do I complete it?
So there are two options, Thesis and Non-Thesis, how
do I decide which one to do?
• What is a Graduate Portfolio?
What courses should I take?
• Everyone needs 35 hours to graduate.
• Required courses:
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CS 456 Advanced Algorithms (Spring & Fall)
CS 500 Graduate Seminar (Fall)
CS 516 Advanced Computer Architecture (Fall)
CS 514 Advanced Operating Systems (Spring)
CS 598 Topic Paper (Independent, any time)
• Elective Courses
– 24 Hours
– 12 Hours must be at the 500 Level
CS 423-3 Compiler Construction
CS 434-3 Database Management Systems
CS 438-3 Artificial Intelligence
CS 447-3 Networks and Data Communications
CS 454-3 Theory of Computation
CS 482-3 Computer Graphics
CS 525-3 Principles of Simulation
CS 530-3 Software and Systems Management
CS 534-3 Advanced Database Systems
CS 535-3 Advanced Software Engineering
CS 547-3 Network Programming
CS 550-3 Object Oriented Design
CS 565-3 Numerical Computation
CS 582-3 Topics in Computer Graphics
CS 583-3 Topics in Programming Languages
CS 584-3 Topics in Artificial Intelligence
CS 587-3 Topics in Computer Networking
CS 590-3 Seminar in Computer Science
CS 595-3 Independent Study
Can I take courses not on this list?
Yes, two possibilities:
– You can take two of the following courses:
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ECE 438 – Image Analysis & Computer Vision (~5 slots)
ECE 439 – Digital Image Processing (~5 slots)
ECE 577 – Advanced Network Engineering (10-15 slots)
CMIS540 – Management of IS Development (5 slots)
CMIS565 – Oracle Database Administration (10-15 slots)
– You can take one additional courses from the
above list if it is approved by your graduate
program director as part of your Course
Concentration.
Are there any new CS courses to take?
• Spring 2008
– CS 423: Compiler Design
– CS 584: Topics in AI – Machine Learning
– CS 590-02: Visual Analytics
What is a Course Concentration and
how do I get one?
• Three elective courses that are related to an area
of study or research.
• Intent is to give you a deep understanding of one
area that you can do your Topic Paper and/or
Thesis in.
• You are encouraged (but not required) to do a
topic paper in your area of concentration.
• A Concentration Area must be approved by one
faculty member and the Graduate Director (Forms
available in the office).
Concentrations Currently Available
Area
1st Course
2nd and 3rd Courses (Semesters currently offered)
Networks and
Data Communications
CS 447 (F & S)
(Fall & Spring)
2 of the following
CS 547 (F), CS 587 (S), ECE 577 – Advanced Network (S)
Software
Engineering
CS 535 (F)
2 of the following
CS 530 (S) , CS 550 (S), CMIS515 (F & S)
Artificial Intelligence:
Robotics
CS 438 (S)
2 of the following (1 must be Robotics):
Machine Learning (F), Data Mining (F), Robotics (F)
Computer Gaming (S), CS 584 - Expert Systems (Su),
Artificial Intelligence:
Machine Learning
CS 438 (S)
2 of the following:
CS 567 - Expert Systems (Su), Machine Learning (F),
Data Mining (F),
Computer Graphics/
Imagine Processing
CS 482 (F)
2 of the followings:
Virtual Reality (S), Computer Gaming (F),
Image Processing (F), CS 582, ECE 438 – Digital Image
Processing (S), ECE 439 – Computer Vision (F)
Database
CS 434 (S)
2 of the following (1 must be CS534):
Expert Systems (Su), Machine Learning (F), Data Mining (F),
CMIS 565 – Oracle Database Administration, CS534
Database:
Data Mining
CS 434 (S)
2 of the following (1 must be Data Mining/Machine Learning):
Computation and
Simulation
CS 456 (S)
CS 567 - Expert Systems (Su), CMIS 565 – Oracle AB ADM
Machine Learning (F), Data Mining (F),
2 from the following (1 must be 500 level) CS 454,
CS 404, CS 525, CS 565,
Faculty’s Area of Interest
Faculty Member
Areas of Interest
Dr. Daniel Dooly
Learning Theory, Machine Learning, Algorithms and Complexity
Dr. Dennis J
Bouvier
Psychology of Programming, Scientific and Information Visualization
Human Computer Interaction, Bioinformatics
Dr. Bryon
Ehlmann
Object-Oriented Databases, Data Models, Software Engineering, Scientific
Databases, Computer-Human Interactions
Dr. Hiroshi
Fujinoki
Communication Networks, Operating Systems, Graph Theory
Dr. Jerry Weinberg
Artificial Intelligence, Machine Learning, Mobile Robotics, Robotics in
Education, HCI
Dr. William White
Computer Graphics, Virtual Environments, Data Communications
Dr. Trong Wu
Petri Nets, Numeric Computation, Simulation and Modeling, Knowledge
Discovery and Data Mining, Computer System Performance Evaluation,
Ada Programming Language
Dr. Xudong Yu
Artificial Intelligence, Knowledge-Based Systems, Data Mining, Database
What is a Course Concentration and
how do I get one?
• Examples
– Andrew
• CS 490 Mobile Robotics, ECE 438 Digital Image
Processing, ECE 538 Computer Vision
• Topic Paper/Thesis: Filtering Transient Objects to
Improve Robot Localization in High Traffic Areas
– Naveen Veluri
• CS447, CS587, ECE577
• Topic Paper/Thesis: TBA
What is a Topic Paper and how do I
complete it?
• A research paper that covers either
– current and specific area of research interest in computer
science, or
– a new technology development (not necessarily research)
topic, beyond what is already covered in class
• Demonstrates that you have an understanding of the
topic and illustrate with your own examples.
• Includes an extensive literature survey with sufficient
number of referred paper (see Topic Paper Guideline)
What is a Topic Paper and how do I
complete it?
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Write a brief description of what you plan to
cover in your topic paper and create a title.
Ask a CS professor to approve your topic
paper subject and to serve as your committee
chair.
Find two additional faculty members who
will serve on your advisory committee.
Sign-up for CS 598
What is a Topic Paper and how do I
complete it?
• Start your topic paper the next to last
semester (not the last one!)
• Work with your committee chair to develop
the paper.
• Upon completion of your topic paper, you
will be required to do an oral examination
on your topic paper.
So there are two options, Thesis and
Non-Thesis, how do I decide which
one to do?
• Non-Thesis: Do 6 additional credits of graduate
course work
• Thesis: Do 6 credits of research
– Interested in independent work
– Interested in publishing
– Interested in attending a conference
– Interested in pursuing a Ph.D.
Any questions?