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授課地點及時間 |
上課地點:【上海】:同濟大學(滬西)/新城金郡商務樓(11號線白銀路站) 【深圳分部】:電影大廈(地鐵一號線大劇院站)/深圳大學成教院 【北京分部】:北京中山學院/福鑫大樓 【南京分部】:金港大廈(和燕路) 【武漢分部】:佳源大廈(高新二路) 【成都分部】:領館區1號(中和大道) 【廣州分部】:廣糧大廈 【西安分部】:協同大廈 【沈陽分部】:沈陽理工大學/六宅臻品 【鄭州分部】:鄭州大學/錦華大廈 【石家莊分部】:河北科技大學/瑞景大廈
開班時間(連續班/晚班/周末班):2020年3月16日 |
課時 |
◆資深工程師授課
☆注重質量
☆邊講邊練
☆若學員成績達到合格及以上水平,將獲得免費推薦工作的機會
★查看實驗設備詳情,請點擊此處★ |
質量以及保障 |
☆
1、如有部分內容理解不透或消化不好,可免費在以后培訓班中重聽;
☆ 2、在課程結束之后,授課老師會留給學員手機和E-mail,免費提供半年的課程技術支持,以便保證培訓后的繼續消化;
☆3、合格的學員可享受免費推薦就業機會。
☆4、合格學員免費頒發相關工程師等資格證書,提升您的職業資質。 |
☆課程大綱☆ |
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Overview
- System and Component Cohesion
- System/component Dependencies
- Software Architecture
- Technical Architecture
- Enterprise Architecture
- SOA and Micro services architecture
- Relationships between above concepts
- Logic redudancy vs dependency
- Data reduancy ?vs dependency
Software Architecture
Fundamentals
- clarification of terms: architecture, design, modeling
- orthogonality
- conways Law
Common Architectures
- modular decomposition
- hierarchical architecture
- centralised (Mediator Pattern)
- event-based architecture
- interrupt-based
- OSI
- client/server
- layer model
Principles of OO Design
- DRY, SRP
- encapsulation
- program against an interface
- Liskovs principle
- Law of Demeter
Design Patterns
- what are Design Patterns
- Creational Patterns
- Structural Patterns
- Behavioural Patterns
- Model-Controller-View (MCV)
Design Tools
- Domain specific language
- Lexical Analysis
- CRC cards
- scenarios
- Use Case descriptions
UML Graphical Representations
- Class Diagram
- Sequence Diagram
- aggregation diagram
- UML tools
Non-UML Graphical Representations
- ER-modeling
- State Machine
- data flow
- architectural model
Design and Maintenance
- Lehmanns Laws
- Architectural Antipatterns
- Refactoring Strategies
SOA and Integration Patterns
- Integration technologies and methods
- Synchronous/Asynchronous
- More details direct communication patterns
- Direct and brokered communication
- Message Queuing
- ESB
Deployment Patterns
- Code Deployment
- Immutable deployment
- Availability, Scaleability, High Performance, Fault tolerance patterns
- Data and messages replication and clustering (CAP theorem)
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