EE445 COMPUTER ARCHITECTURE I

Course Code:5670445
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:5.0
Department:Electrical and Electronics Engineering
Language of Instruction:English
Level of Study:Undergraduate
Course Coordinator:Prof.Dr. ŞENAN ECE SCHMİDT
Offered Semester:Fall Semesters.

Course Objectives

Provide the students with an understanding of the analysis and synthesis of asynchronous sequential digital systems.

 

Provide the students the top-down digital system design procedure using algorithmic state machine approach and in dept understanding of basic computer architecture in register and instruction execution phases levels.

 

 


Course Content

Asynchronous logic system. Algorithmic state machines. CPU organization. Construction of arithmetic logic unit. Process control architectures. Instruction modalities. Microprogramming. Bit slicing.


Course Learning Outcomes

Provide the students with an understanding of the analysis and synthesis of asynchronous sequential digital systems.

- Understanding of asynchronous digital circuits.

- Ability to analyze and design of asynchronous digital circuits.

- Ability to analyze and design of asynchronous sequential circuits.

- Design oriented thinking

- Develop problem solving skills

- Develop thinking ability

Provide the students the top-down digital system design procedure using algorithmic state machine approach and in dept understanding of basic computer architecture in register and instruction execution phases levels.

- Ability of digital system modeling.

- Ability of top-down design of digital systems.

- Ability of understanding of basic digital computer architecture.

- Ability of top-down design of digital systems.

- Provide understanding of basic digital computer architecture

- Develop problem solving skills

- Develop basic computer understanding skills.

 


Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3An ability to communicate effectively with a range of audiences
4An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
5An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7An ability to acquire and apply new knowledge as needed, using appropriate learning strategies