CS504070 — Service-Oriented Architecture [Phuc H. Duong]

Course Description

This course equips students with essential knowledge in software development, focusing on service-oriented architecture (SOA). Upon completion, participants will understand how to align services with business processes. Additionally, they will gain skills in developing a compact service-oriented information system, and acquire insights into various aspects such as message exchange types, service life cycle, performance, and security. Each semester, the course content is dynamically tailored, with the lecturer selecting relevant topics for a mix of lectures and practical sessions. This semester, the course is divided into three segments:

The first segment dedicates a week to introducing fundamental SOA concepts and exploring RESTful API using Java. This includes hands-on examples to enhance familiarity with the technology.
The second segment delves into FastAPI, a cutting-edge, high-speed web framework for crafting APIs in Python 3.12, leveraging standard Python type hints for efficiency and performance.
The third segment encourages self-directed learning through the exploration of specialized topics.

Prior knowledge is required for this course. It is essential for students to have proficiency in programming languages, particularly Java and Python, and a strong foundation in database systems, including both SQL and NoSQL databases.

Course's credits and time allocation:

No. of credits: 3(3,0)
Time allocation:
- Theory + Practice (hours): 45
- Self-study (hours): 90

Textbook

Sam Newman. Building Microservices. O'Reilly Media, Inc., 2021. [PDF]
Phuc H. Duong. FastAPI Tutorials, 2024.
Miguel Grinberg. Flask Web Development, Second Edition. O'Reilly Media, Inc., 2018.
Bogunuva Mohanram Balachandar. RESTful Java Web Services, Third Edition. Packt Publishing, 2017.
Vaughn Vernon. Domain-Driven Design Distilled, 1/e. O'Reilly Media, Inc., 2016. [EPUB]
Get started with GitHub and Visual Studio Code. Microsoft Learn.

Evaluation

Evaluation categories	Weight (%)	Types
Process evaluation 1	10	Process Exercise
Process evaluation 2	20	Essay
Mid-term project	20	Assignment
Final project	50	Report

🤖 Learning with AI

In this semester, I'm excited to enhance our course by integrating a cutting-edge AI-chatbot, powered by Large Language Models (LLMs). I'm proud to introduce KamiMind, an innovative, user-friendly, no-code platform that allows you to easily create and engage with advanced AI models on your own data. Starting from December 13, 2023, KamiMind supports three leading hyper AI models: Claude, Google Gemini Pro, and OpenAI's GPT-3 and GPT-4 Turbo. Additionally, the platform features unique models developed by our talented in-house AI engineers, further enriching your learning experience.

Hướng dẫn tạo Trợ Lý AI (AI Agent) cùng học lập trình

Schedule

Group	Day [Period]	e-Learning	Room
5 (TC)	Monday [2]	\| \| \|	B304
3 (CLC)	Monday [3]	\| \| \|	F402

File compiling the Google Meet access links.

Syllabus

Weeks	Topics	Resources
1	Chapter 0: Course Introduction Chapter 1: What Are Microservices? — Practice 1: - Programming API with Java	ch00.pdf ch01.pdf — Practice 1
2	Chapter 1: What Are Microservices? (cont.) — Practice 2: - Python Type Hints - Pydantic Module - Python Concurrency	ch01.pdf — Practice 2
3	Chapter 2: How to Model Microservices — Practice 3: - FastAPI Introduction - Path & Query Parameters - Request Body	ch02.pdf read02.pdf — Practice 3
4	Chapter 3: Splitting the Monolith — Practice 4 (A): - Query Parameters and String Validations - Path Parameters and Numeric Validations Practice 4 (B): - Email	ch03.pdf async_sync.pdf — Practice 4 (A) Practice 4 (B)
5	Chapter 4: Microservice Communication Styles — Practice 5: - Body - Multiple Parameters, Fields, Nested Models - Declare Request Example Data - Extra Data Types - Cookie Parameters - Header Parameters	ch04.pdf — Practice 5
6	Chapter 4: Microservice Communication Styles (cont.) — Practice 6: - Response Model - Return Type - Extra Models - Response Status Code	ch04.pdf — Practice 6
7	Chapter 5: Implement Microservice Communication (Part 1) — Practice 7: - Form Data	ch05a.pdf — Practice 7
8	Chapter 5: Implement Microservice Communication (Part 1) [cont.] — Practice 8: - Request Files - Request Forms and Files - Handling Errors	ch05a.pdf — Practice 8
9	Chapter 5: Implement Microservice Communication (Part 2) — Practice 9: - Path Operation Configuration - JSON Compatible Encoder - Body - Updates	ch05b.pdf — Practice 9
10	Chapter 5: Implement Microservice Communication (Part 2) [cont.] — Practice 10: - Dependencies	ch05b.pdf — Practice 10
11	Chapter 6: Workflow — Practice 11: - Security	ch06.pdf — Practice 11
12	Chapter 6: Workflow (cont.) — Practice 12: - Middleware - CORS (Cross-Origin Resource Sharing) - SQL (Relational) Databases — Report: Mid-term Project	ch06.pdf — Practice 12
13	Practice 13: Bigger Applications - Multiple Files — Report: Mid-term Project	Practice 13
14	Final Project Report — Read: Chapter 14 [1]	—
15	Final Project Report — Read: Chapter 15, 16 [1]	—

Info Use the account provided by TDTU to access the above resources.

Resources

Cấu trúc báo cáo QT2, Cuối kỳ
Phiếu chấm điểm (RUBRIC) QT2, Giữa kỳ, Cuối kỳ
Danh Sách Sinh Viên
Attendance Records:
- Attendance record form
- Check-in data
- Check-in code will be provided when giving lectures.
- Note: The attendance record form will be closed at 11:59 PM every Monday.

Staffs

Phuc H. Duong
- Work Email: duonghuuphuc@tdtu.edu.vn
- Personal email: dhp@fastai.dev
- Website: www.duonghuuphuc.com

Info I welcome everyone to become a teaching assistant for this course, do not hesitate to drop me an email at dhp@fastai.dev.

Policies

You are allowed to absent up to 3 lecture sessions.
Exercises, assignment and final project must be submitted by the due date. No late submission will be accepted.
All submissions will be done via e-Learning platform of TDTU.
About collaboration, you may discuss with other students on the review reports. However, you must write up the reports on your own independently.
You need to be honest in all academic work and understanding that failure to comply with this commitment will result in disciplinary action.
For online class sections (if any), attendance and participation are determined by active interaction during the class and submission of exercises after class. Failure to complete at least 50% of the work each week will be deemed as lack of active participation in the course.

Mailing List

Archived

Recorded lecture videos
Spring, 2024 (Current)
Spring, 2023 | Fall, 2022 | Spring, 2022