Learn CSS: no css back to main
SMC logo

Contact

Ewa Misiolek
Associate Professor
Mathematics and Computer Science
Saint Mary's College

Notre Dame, IN 46556

Courses

  • CPSC 308
    • Electronic Communications (3)
      This introduction to data communications examines the fundamentals of network architecture including layers, protocols, client/server model, file transfers, and other low-level communications issues. Students will experience hands-on internet related programming including web page development using HTML, CSS, interactive pages with JavaScript, CGI programming, and distributed execution using Java. Prerequisite: CPSC 207
  • CPSC 315
    • Simulation: Theory and Applications (3)
      Theory of computer simulation, including applications of continuous and discrete models of industrial and management systems. Topics include probability distributions, random number generation, queuing, and design of simulation experiments. Includes significant use of simulation software. Prerequisites: Math 114 (or 345) and CPSC 207.
  • CPSC 417
    • Systems Analysis and Design (4)
      This course includes a study of systems, particularly those which lend themselves to computer representation, a study of systems analysis and design and the completion of a major systems project done in a team environment. The project will involve the analysis of an actual system problem, the writing of a system proposal to solve the problem, the presentation of the proposal to the users of the system and the design and construction of a prototype to implement the proposal. Prerequisite: CPSC 207
  • CPSC 429
    • Database Systems (3)
      This course will study the concept of a databse, basic data concepts and data organization, the relational data model, object-oriented databses and database design and implementation. Students will complete a semester-long project done in a team environment. Prerequisite: CPSC 207
  • MATH 104
    • Finite Mathematics (3)
      Set theory, counting techniques, probability, random variables, expected value, variance, standard deviation, and linear programming.
  • MATH 114
    • Introduction to Statistics (3)
      Introduction to basic sampling and experimental design. Basics of probability, random variables and probability distributions. Sampling distributions. Estimation and hypothesis testing for means and proportions. Statistical software will be used. Prerequisite: MATH 104 or 105 or equivalent.
  • MATH 353
    • Modern Algebra I (3)
      Basic algebraic systems: groups, rings, and fields. Homomorphisms and factor groups, rrings. Polynomial rings and field extensions. Applications, including symmetry groups and algebraic coding theory. Prerequisites: MATH 225 and 326.
  • MATH 354
    • Modern Algebra II (3)
      Basic algebraic systems: groups, rings, and fields. Homomorphisms and factor groups, rrings. Polynomial rings and field extensions. Applications, including symmetry groups and algebraic coding theory. Prerequisites: MATH 225 and 326.
  • MATH 495
    • Pro-Seminar I (2)
      Student presentation of selected topics. Prerequisite: Consent of the department chair.
  • MATH 496
    • Pro-Seminar II (2)
      Student presentation of selected topics. Prerequisite: Consent of the department chair.

Research


©2013 Ewa Misiolek, Saint Mary's College, Notre Dame, IN