Allison Lashua

Submitted by admin on
Primary Title:  
Dir of Event Mgt & Facil Ops
Institution:  
UMASS Amherst
Department:  
Athletic Department
Email Address:  
alashua@umass.edu

Mariia Kunhurtseva

Submitted by admin on
Primary Title:  
Maintainer
Institution:  
UMASS Amherst
Department:  
Hotel UMass
Email Address:  
mkunhurtseva@umass.edu

Cesar Avila

Submitted by admin on
Primary Title:  
Maintainer
Institution:  
UMASS Amherst
Department:  
Hotel UMass
Email Address:  
cesaravila@umass.edu

Matthew Abert

Submitted by admin on
Primary Title:  
Technical Specialist
Institution:  
UMASS Amherst
Department:  
Elaine Marieb College of Nursing
Email Address:  
mabert@umass.edu
Telephone:  
413-727-1915
Office Building:  
Skinner Hall

Lawrence Snyder

Submitted by admin on
Primary Title:  
AVP of Campus Services, Operations & Maintenance
Institution:  
Smith College
Department:  
Facilities Management
Email Address:  
lsnyder@smith.edu
Telephone:  
+1 (413) 5857830

Malini Muthu Karpagam

Submitted by admin on
Primary Title:  
Postdoctoral Research Fellow, PLACE Lab
Institution:  
Smith College
Department:  
Biological Sciences
Email Address:  
mmk@smith.edu
Telephone:  
+1 (413) 4253643

Julia Tonelli

Submitted by admin on
Primary Title:  
Specialty Teacher
Additional Title:  
Teacher, CECE Summer
Institution:  
Smith College
Department:  
Campus School
Additional Department:  
Center for Early Childhood Education
Email Address:  
jtonelli@smith.edu

Blair Bentley

Submitted by admin on
Primary Title:  
Visiting Assistant Professor
Institution:  
Smith College
Department:  
Biological Sciences
Email Address:  
bbentley@smith.edu

Introduction To Computation

Basic concepts of discrete mathematics useful to computer science: set theory, strings and formal languages, propositional and predicate calculus, relations and functions, basic number theory. Induction and recursion: interplay of inductive definition, inductive proof, and recursive algorithms. Graphs, trees, and search. Finite-state machines, regular languages, nondeterministic finite automata, Kleene's Theorem.

Computer Systems Principles

Large-scale software systems like Google - deployed over a world-wide network of hundreds of thousands of computers - have become a part of our lives. These are systems success stories - they are reliable, available ("up" nearly all the time), handle an unbelievable amount of load from users around the world, yet provide virtually instantaneous results. On the other hand, many computer systems don't perform nearly as well as Google - hence the now-cliche "the system is down." In this class, we study the scientific principles behind the construction of high-performance, scalable systems.
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