Include a brief summary of the course topics and requirements, the general format of the course, and the methods of evaluation.


== Skills and knowledge students should have prior to beginning the course: ==



  * Class designed for students majoring in Computer Science or in areas having a strong emphasis in Computer Science. Sound knowledge of data structures and C pogramming.


== Course Topics: ==

  
* Structure of a process: address space, registers, program counter and the stack. 
* Asynchronous activity: hardware and software interrupts, service routines. 
* Multiprogramming: programming for concurrency, process and thread, shared data, race conditions, critical sections and tools/techniques for multiprogramming such as mutual exclusion, semaphores and strict message passing. 
* Memory management: memory allocation, stack, heap, virtual memory.
* File systems: file organization and interfacing with secondary storage. 
* The operating system kernel: internals and interfacing via system calls. 
* Distributed computing: communication, client/server model, remote procedure calls. 

== Course Format: ==

  * Lecture format: in class lecture
  * Online materials location and format: moodle
  * Lab or tutorial format and expectations: in class labs


== Method of evaluation: ==

  * Number of Assignments: 3
  * Number of Graded Labs: 0
  * Number of Quizzes: 0
  * Formal Midterm? yes
  * Course project? no
  * Final Exam? yes
  * Group work? no
  * mostly programming assignments? yes
  * Written documents? readme files in assignment submission