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Graduate Programs in Computer Science and
Computational Mathematics
 
   
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DEGREE REQUIREMENT

The program will be tailored to individual student needs, and will consist of 33 credit hours. A student will choose to specialize either in computer science, in applied mathematics, or with the help of their advisor, specialize in both disciplines. A thesis and non-thesis option is available. Students wishing to follow the thesis option must complete 24 credit of coursework and 9 credits of thesis. No more than two 400 level courses may apply toward this degree program.

Recommended courses for Computer Science Concentration   Recommended courses for Applied Mathematics Concentration
B503 - Algorithms Design & Analysis
A510 - Database Management Systems
B538 - Networks & Distributed Computing
B551 - Artificial Intelligence
B553 - Biomorphic Computing
B561 - Advanced Database Concepts
P565 - Software Engineering
B581 - Advanced Computer Graphics
B582 - Image Synthesis
B583 - Game Programming & Design
B651 - Natural Language Processing
B524 - Parallel & Distributed Computing
B657 - Computer Vision
B689 - Graphics and HCI
 

C431 - Assemblers & Compilers I
C435 - Operating Systems
B438 - Computer Networks
C463 - Artificial Intelligence
C490 - Topics in CS
M546 - Control Theory
M551 - Markets & Asset Pricing
M560 - Applied Stochastic Processes
M565 - Analysis of Variance
M562 - Stat. Design of Experiments
M571 - Analysis of Numerical Methods I
M572 - Numerical Analysis II
M575 - Simulation Modeling
M576 - Forecasting
M577 - Operations Research
 

M415 - Complex Variables & Applications
M451 - Math of Finance & Interest
M463 - Introduction to Probability Theory
M466 - Introduction to Mathematical Statistics
M447 - Math Modeling I
M448 - Math Modeling II
 

No more than two 400-level courses may be selected.

Students will be encouraged to take courses bridging the two disciplines (e.g. M562 - Statistical Design of Experiments and B581 - Advanced Computer Graphics). Both full-time and part-time study will be possible.

Students are expected to maintain a cumulative GPA of 3.0 or above. Failure to maintain a 3.0 GPA for two consecutive semesters, or accumulating any two grades of D or below, may result in dismissal from the program.

The program must be completed within seven years. Only courses taken within seven years of completion of the first course in the program may count toward this degree.

SAMPLE CURRICULA
Although some students will need prerequisite courses, the following table represents a typical two year schedule for a student specializing in computer science and a student specializing in Applied Mathematics.
Student Specializing in
Computer Science
  Student Specializing in
Applied Mathematics

YEAR 1

Fall
   CSCI-C 490 - Computer Security (3)
   CSCI-P 565 - Software Engineering I (3)
   CSCI-B 503 - Algorithms Design and Analysis (3)
Spring
   CSCI-B 561 - Advanced Database Concepts (3)
   CSCI-B 538 - Networks & Distributed Computing (3)
   MATH-M 562 - Statistical Design of Experiments (3) 


YEAR 2

 Fall
   CSCI-B 581 - Advanced Computer Graphics (3)
   CSCI-B 551 - Elements of Artificial Intelligence (3)
   CSCI-Y 790 - Grad. Independent Study - Thesis (3)
Spring
   CSCI-B 582 - Image Synthesis (3)
   CSCI-Y 790 - Grad. Independent Study - Thesis (6)

YEAR 1

Fall
   MATH-M 463 Introduction to Probability Theory (3)
   MATH-M 562 - Statistical Design of Experiments (3)
   MATH-M 571 Analysis of Numerical Methods I
Spring
   CSCI-B 503 - Algorithms Design and Analysis (3)
   MATH-M 560 Applied Stochastic Processes
   MATH-M 509 Linear Transformations (3) 


YEAR 2

 Fall
   MATH-M 551 Markets and Asset Pricing (3)
   MATH-M 577 Operation Research (3)
   CSCI-Y 790 - Grad. Independent Study - Thesis (3)
Spring
   MATH-M 576 - Forecasting (3)
   CSCI-Y 790 - Grad. Independent Study - Thesis (6)


 


Indiana University South Bend
Department of Computer and Information Sciences
1700 Mishawaka Ave. P.O. Box 7111
South Bend, IN 46634
Phone: (574) 520-5521
Fax: (574) 520-5589
info @ cs . iusb . edu


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