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 ~~NOTOC~~
-====== Your Course  ======
+====== Computer Architecture  ======
 ===== Description  =====
-The course lays the conceptual foundation of object-oriented programming. It covers delegation and contracts, encapsulation and API programming, aggregation and the collections framework, inheritance and polymorphism, all from the client's perspective.
+This  course  presents  the  core  concepts  of  computer  architecture  and
+design   ideas   embodied   in   many   machines,   and   emphasizes   a
+quantitative   approach   to   cost/performance   trade-offs.      This   course
+concentrates on uniprocessor systems.  A few machines are studied to
+illustrate  how  these  concepts  are  implemented;  how  various  trade-offs
+that  exist  among  design  choices  are  treated;  and  how  good  designs
+make   efficient   use   of   technology.      Future   trends   in   computer
+architecture    are    also    discussed.
+Topics    covered    may    include fundamentals of computer design; Performance
+and cost; Instruction set design and measurements of use; Pipeline design techniques; Memory
+hierarchy design; Input output subsystems;
+===== Course Learning Outcomes  =====
+By the end of this course, the student should be able to
+  - Design  cache,  memory hierarchy,  and  virtual  memory  using different techniques to improve cost/performance ratio.
+  - Demonstrate  how  dynamic  scheduling  and  speculative  execution can  improve  the  system  performance  and  explain  how  it  is implemented in modern processors.
+  - Evaluate different design alternatives and make quantitative/qualitative argument for one design over the other.
+  - Identity the different types of parallelism (data, instruction, thread, transaction) for a given application.
+  - Compare and  evaluate different techniques (such as multithreading, multicore, or vector) to improve CPU performance
 ===== Lecture Times =====
-  * Section A: Mondays and Fridays, 11:00am - 12:00pm, CSE 111
+  * Section T: Tuesdays and Thursdays, 10:00am - 11:30pm, PSE 321