Alyce Brady Professor of Computer Science Arcus Center for Social Justice Faculty Fellow Computer Science Program Kalamazoo College 1200 Academy Street, Kalamazoo, MI Office: Olds/Upton 203G Phone: (269) 337-7065 E-mail: abrady@kzoo.edu Weekly Schedule

Courses:

2013-2014:
	Arcus Center for Social Justice Leadership Faculty Fellow (2013-2014, 2014-2015) Introduction to Computer Science (COMP 105) -- Fall 2013 Data Structures -- Spring 2014 Computer Organization (COMP 230) or Programming Languages (COMP 320) -- Spring 2014

2012-2013:
	Introduction to Computer Science (COMP 105) -- Fall 2012 Dynamic Internet Apps (COMP 487) -- Fall 2012 Introduction to Programming in Java (COMP 110) -- Winter 2013 Senior Seminar (COMP 490) -- Winter 2013 Data Structures -- Spring 2013 Computer Organization (COMP 230) -- Spring 2013

2011-2012:
	Sabbatical, Fall and Winter   Introduction to Programming in Java (COMP 110) -- Spring 2012 Programming Languages (COMP 320) -- Spring 2012

Research Interests:

• Computer Science Education:
  • Free and Open Source Software (from teaching, development, and software engineering perspectives)
  • Aquarium Lab Series, a series of mixed-length laboratory exercises that provide students with an opportunity to put introductory programming concepts to work immediately (meant to be used very early in an introductory course on programming in Java)
  • Marine Biology Simulation case study for the Advanced Placement Program (see my web pages for Teaching Resources for AP Teachers and Teaching Resources related to the MBS case study)
  • Grid Package, a library of Java classes for modeling objects in a two-dimensional grid, as well as accompanying classes that make it easy to create graphical user interfaces to display and interact with such models
• Object-Oriented Programming: object-oriented languages, object-oriented design and specification methods, inheritance semantics
• Software Engineering: software design, agile methods, algebraic axiomatic specifications, testing, software maintenance
• Academic Computing Applications: algorithms and applications to support student enrollment and degree progress
• Human-Computer Interfaces: hypertext and hypermedia, graphical user interfaces, programming interfaces