En.605.704 _best_ Instant

The course EN.605.704, titled Object-Oriented Analysis and Design, is a graduate-level offering within the Computer Science program at the Johns Hopkins University (JHU). Course Overview

This course provides a comprehensive exploration of the principles and practices of Object-Oriented Analysis (OOA) and Object-Oriented Design (OOD). It focuses on using these methodologies to create robust, maintainable, and scalable software systems.

Core Focus: Transitioning from requirements to a high-level design using object-oriented concepts.

Key Concepts: Classes, objects, inheritance, polymorphism, encapsulation, and abstraction.

Modeling: Extensive use of the Unified Modeling Language (UML) for documenting and communicating software architectures.

Design Patterns: Introduction to common software design patterns that solve recurring architectural challenges. Role in the Curriculum

Prerequisite for Advanced Studies: It is often a highly recommended prerequisite for specialized courses like Service Oriented Architecture (SOA) (EN.605.681).

Career Integration: Profiles of Senior Software Engineers and Staff Platform Engineers frequently list this course as a foundational part of their technical training.

Academic Pathways: It serves students in the Computer Science, Cybersecurity, and Data Science programs. Educational Context Institution Johns Hopkins University (Whiting School of Engineering) Subject Area Computer Science (605) Level Graduate (700-level) Credits Common Prerequisites

Foundations of Software Engineering (EN.605.601) and proficiency in an OO language (C++, Java, or Python)

Slide 6: Forwarding (Bypassing)

• Add multiplexers to ALU inputs from EX/MEM and MEM/WB pipeline registers.
• Detection logic:
  • if (EX/MEM.RegWrite and EX/MEM.rd == ID/EX.rs1) forward from EX/MEM
  • if (MEM/WB.RegWrite and MEM/WB.rd == ID/EX.rs1) forward from MEM/WB

Slide 4: Structural Hazards

• Problem: Same hardware resource needed simultaneously.
• Example: One memory port for both IF and MEM stage.
• Solution: Separate I-cache and D-cache (Harvard architecture).

6. Sample Exam Question (Midterm)

Problem: You are given a 5-stage pipeline (IF, ID, EX, MEM, WB) with full forwarding but no branch prediction (always assume not taken). Branches resolve in EX stage. Compute total cycles for:

Loop: lw   x1, 0(x2)
      addi x1, x1, 1
      sw   x1, 0(x2)
      addi x2, x2, 4
      bne  x2, x3, Loop   # assume x2 != x3 for 3 iterations

Tasks:

• Draw pipeline timing diagram for first 2 iterations.
• Count total cycles for 3 iterations (after loop ends, there is no final branch).
• What is the speedup if we add a 2-bit saturating branch predictor with 0 misprediction for this loop?

EN.605.704 Object-Oriented Analysis and Design is a graduate-level course offered by the

Johns Hopkins University (JHU) Engineering for Professionals

program. The course focuses on the fundamental principles of object-oriented (OO) modeling, requirements development, and system design. Johns Hopkins Engineering Online Course Overview en.605.704

This course provides formal training in the methodologies used to specify software requirements and design complex systems using the Unified Modeling Language (UML). Johns Hopkins Engineering Online Key Topics Covered: Software requirements specification.

Static and dynamic analysis using UML (e.g., class diagrams, sequence diagrams).

Design patterns and principles of OO reuse and maintainability.

State models, persistence, and the Object Constraint Language (OCL). Prerequisites:

Students are expected to have prior experience in an OO programming language like Java or C++, although the course itself does not require active programming assignments. Johns Hopkins Engineering Online Core Concepts Explored

The course grounds its curriculum in the four pillars of object-oriented programming: Abstraction:

Simplifies complex reality by modeling classes appropriate to the problem. Encapsulation:

Hides the internal state and requires all interaction to be performed through an object's methods. Inheritance:

Allows new classes (subclasses) to take on the properties and behaviors of existing classes. Polymorphism:

Enables objects to be treated as instances of their parent class, allowing one interface to be used for a general class of actions. Khalil Stemmler Grading and Structure Based on recent Summer 2024 syllabi , the course typically follows this grading weight: Quizzes (40%): Weekly assessments to test theoretical understanding. Project Submissions (40%):

A recurring team project focusing on the analysis and design of a specific system. Peer Evaluations (20%):

Assessment of collaboration and contribution within the project team. Johns Hopkins University or help with a particular UML diagram for this course?

Object-Oriented Analysis and Design - 605.704 | Hopkins EP Online

EN.605.704 Object-Oriented Analysis and Design is a graduate-level course within the Johns Hopkins University Whiting School of Engineering focused on building robust, scalable software systems. The curriculum emphasizes UML modeling, design patterns, and application of object-oriented principles across the software development lifecycle. For more details, visit Johns Hopkins University The course EN

Here’s a sample post for the course EN.605.704 (typically Foundations of Computer Architecture or a similar advanced computing course at Johns Hopkins EP). You can adjust the specifics based on the actual current offering.

Subject: EN.605.704 – Week [X] / Project / Question

Posted by: [Your Name]

Hi everyone,

I’m currently working through the [pipelining / memory hierarchy / out-of-order execution] material in EN.605.704 and wanted to see how others are approaching [specific concept, e.g., calculating CPI with structural hazards].

In particular, I’m looking at Problem [#] from the latest problem set. I understand the baseline performance, but I’m getting stuck on how to model the effect of a [cache miss / branch misprediction] across multiple issue widths.

Has anyone worked through this yet? Also, for those who’ve taken the course before – any recommended outside readings (Patterson & Hennessy chapters, etc.) that helped clarify the trade-offs between latency and bandwidth in the context of SIMD?

Thanks in advance for any insights.

For Johns Hopkins University’s EN.605.704: Object-Oriented Analysis and Design, a standard project paper or final report typically follows a "Use Case-to-Design" trajectory. The course focuses on using the Unified Modeling Language (UML) to transform customer requirements into software architecture. Paper Structure Outline

Based on the EN.605.704 syllabus, your paper should be organized into these primary sections: computer science.pdf - Course Hero

In the context of the Johns Hopkins University course EN.605.704: Object-Oriented Analysis and Design, a "deep feature" refers to a functional requirement or system capability that is explored through all phases of the OOAD lifecycle.

To create a deep feature for a project or assignment, you should follow these architectural steps: 1. Requirements Elicitation (The Use Case)

Start by defining a significant user goal that requires multiple system components to interact. Identify the Actor: Who triggers the feature?

Define Main Success Scenario: Write a step-by-step flow of how the feature provides value. Add multiplexers to ALU inputs from EX/MEM and

Establish Pre/Post Conditions: What must be true before and after the feature executes? 2. Domain Modeling (Analysis)

Create a Domain Model (often a Class Diagram) to represent the real-world concepts involved in this feature.

Focus on Entities (objects with identity) and their relationships (associations, aggregations).

Avoid adding software-specific details (like UI or Database logic) at this stage; keep it conceptual. 3. Dynamic Modeling (Design)

Visualize how objects collaborate over time to fulfill the feature.

Sequence Diagrams: Map out the messages passed between objects. This is where you identify the specific methods needed.

State Machine Diagrams: If the feature involves complex lifecycle changes (e.g., an order moving from "Pending" to "Shipped"), document these transitions. 4. Detailed Design & Principles

Refine your classes by applying core OO design principles taught in the course:

SOLID Principles: Ensure your feature is extensible (Open/Closed) and that classes have a single responsibility.

Design Patterns: Implement relevant patterns (e.g., Strategy for different algorithms, Observer for status updates, or Factory for object creation) to handle complexity.

GRASP: Assign responsibilities to objects based on patterns like Information Expert or Low Coupling. 5. Implementation (The "Deep" Part)

A "deep" feature is often evaluated on how well the code reflects the design. Ensure that: Your code structure matches your Class Diagrams.

Method calls follow the logic laid out in your Sequence Diagrams.

You use polymorphism rather than complex if-else or switch blocks to handle variations in behavior.