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 ~~NOTOC~~
-====== Your Course  ======
+====== Computer Architecture  ======
-===== Description  =====
+====== 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 emphasises a quantitative
+approach to cost/performance tradeoffs. This course concentrates on
+uniprocessor systems. A few machines are studied to illustrate how these
+concepts are implemented; how various tradeoffs 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;
+====== Learning outcomes for the course: ======
+Upon the completion 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 E: Tuesdays and Thursdays, 10:00am - 11:15pm, HNE 031