班级规模及环境--热线:4008699035 手机:15921673576( 微信同号) |
每个班级的人数限3到5人,互动授课, 保障效果,小班授课。 |
上间和地点 |
上课地点:【上海】:同济大学(沪西)/新城金郡商务楼(11号线白银路站) 【深圳分部】:电影大厦(地铁一号线大剧院站)/深圳大学成教院 【北京分部】:北京中山学院/福鑫大楼 【南京分部】:金港大厦(和燕路) 【武汉分部】:佳源大厦(高新二路) 【成都分部】:领馆区1号(中和大道) 【沈阳分部】:沈阳理工大学/六宅臻品 【郑州分部】:郑州大学/锦华大厦 【石家庄分部】:河北科技大学/瑞景大厦 【广州分部】:广粮大厦 【西安分部】:协同大厦 最近开间(周末班/连续班/晚班):2018年3月18日 |
实验设备 |
◆小班教学,教学效果好 ☆注重质量☆边讲边练 ☆合格学员免费推荐工作 ★实验设备请点击这儿查看★ |
质量保障 |
1、培训过程中,如有部分内容理解不透或消化不好,可免费在以后培训班中重听; 2、培训结束后,授课老师留给学员联系方式,保障培训效果,免费提供课后技术支持。 3、培训合格学员可享受免费推荐就业机会。☆合格学员免费颁发相关工程师等资格证书,提升职业资质。专注高端技术培训15年,端海学员的能力得到大家的认同,受到用人单位的广泛赞誉,端海的证书受到广泛认可。 |
课程大纲 |
|
- 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)
|