1.    English (30% of time)

a.    English for IT:

-    Vocabulary: Computer parts, Networking, Software terms
-    Reading: Basic technical documents
-    Speaking: Classroom conversation, IT product descriptions

b.    English Communication:

-    Role-play: IT support, tech discussions

2.    IT (70% of time)

a.    Mid-term Mini Project:

-    Build a simple student management program.

b.    Final project:

-    Project name: Student Management System (Python Console Application)

c.    Objective: 

-    Apply knowledge of Python programming, data structures (list, dictionary, tuple).
-    Apply data processing and file manipulation skills.

d.    Requirements:

-    Main functions:
+    Add new students (full name, class, subject scores).
+    Display student list.
+    Search students by name/class.
+    Update scores, delete students.
+    Calculate average scores and classify students.
-    Technology:
+    Python (using console app).
+    Process files (txt/csv) to store data.
-    Algorithm:
+    Apply sorting (sort list by score/name).
+    Use dictionary to store student information.
-    Report:
+    Write a report describing the algorithm, analyzing data structures.
+    Evaluate difficulties and solutions.
-    Results:
+    Students are proficient in basic Python programming.
+    Skills in data processing and file manipulation.
+    Understand data structures & logical thinking.

1.    English (30% of time)

a.    English for IT Writing & Speaking:

-    Writing emails, technical instructions
-    Presenting software installation procedures

b.    Communication Skills:

-    Role-play: IT troubleshooting, product pitching

2.    IT (70% of time)

a.    Final project Period:

-    Project Name: Class Website Project
-    Objective:
+    Help students apply specialized English knowledge and basic web design skills (HTML/CSS/Javascript).
+    Create a class website to introduce members, class schedule, announcements, and class activities.
+    Practice communication skills, write descriptions in English.

b.    Requirements:

-    Website content:
+    Home page introduces the class, class name, school year.
+    Member page: personal information of students (name, hobbies, favorite subject... in English).
+    Class schedule page (timetable), extracurricular activities.
+    News update notification page.
-    Technology:
+    HTML, CSS, Bootstrap & Responsive, Javascript, Jquery & Ajax
-    English requirements:
+    Write a description of the website content in English (300-400 words).
+    Prepare a presentation in English to introduce the website.
-    Results:
+    Complete e-commerce website with full content.
+    English IT communication skills and confident presentation.

1.    English (30% of time)

-    Business email writing, presentation skills
-    IT in business: ERP, CRM terms
-    Case study: Writing technical reports for businesses

2.    IT (70% of time)

a.    Final project:

-    Project name: Course Management System (Fullstack Web App with Django & ReactJS)
-    Objectives:
+    Develop web app to manage courses (lecturers, students, course content).
+    Apply knowledge of Django (Back-End), ReactJS (Front-End) and MySQL Database.
+    Practice teamwork and project management skills.

b.    Requirements:

-    Main functions:
+    Manage course list: CRUD (name, description, study time).
+    Manage students: register/edit/delete information.
+    Manage lecturers.
+    Filter, search for courses.
-    Technology:
+    Back-End: Django, REST API.
+    Front-End: ReactJS.
+    Database: MySQL, SQL
-    Advanced requirements:
+    Authenticate student/lecturer accounts (basic auth).
+    Beautiful interface, easy to use.
-    Report & Demo:
+    Write a report describing the development process, features.
+    Demo the project in front of the class in Business English.

c.    Results:

-    Understand the real Fullstack Web development process.
-    Proficiency in Django, ReactJS, MySQL.
-    Teamwork skills & professional reporting in English.

1.    English (30% of time)

-    Negotiation, Meeting discussion
-    Writing proposals, IT reports
-    Presentation: Đề xuất giải pháp công nghệ

2.    IT (70% of time)

1.    Overview:

-    Build a sales website with full basic features (product management, orders, shopping cart, payment).
-    Integrate Dashboard to analyze data: revenue, best-selling products, loyal customers.
-    Add AI/ML features directly applied to user experience & administration.

2.    AI/ML Recommendation features:

a.    Product Recommendation System

-    Description:
+    Suggest suitable products for users based on purchase history or viewed products.
-    Algorithm:
+    Collaborative Filtering (Based on similar users).
+    Content-Based Filtering (Based on product attributes).
-    Tools:
+    Python + scikit-learn / Surprise.
+    Deploy the model and integrate with Django Back-End.

b.    Customer Segmentation

-    Description:
+    Classify customers based on shopping behavior: purchase frequency, order value, number of returns.
-    Algorithm:
+    K-means clustering.
+    RFM (Recency, Frequency, Monetary) analysis.
-    Results:
+    Display customer segmentation chart, helping admin to come up with appropriate marketing strategies.

c.    Sales Prediction

-    Description:
+    Predict future sales based on historical data.
-    Algorithm:
+    Linear Regression or Time Series Analysis (ARIMA, Prophet).
-    Application:
+    Display sales forecast chart for admin.

d.    Sentiment Analysis on Customer Reviews

-    Description:
+    Analyze product reviews from customers to determine satisfaction level (positive/negative/neutral).
-    Technology:
+    Python + NLTK or TextBlob.
-    Visualization: Positive/negative review ratio chart.

3.    Integrated technology:

-    Front-End: ReactJS
-    Back-End: Django REST API
-    Database: PostgreSQL/MySQL
-    Machine Learning Model: Python (scikit-learn, pandas, matplotlib), save model as .pkl and integrate into Django API.
-    Data Visualization: Power BI or matplotlib, seaborn to represent ML results.

4.    Report & Demo:

-    Explain the process of building each AI/ML model.
-    Visualize analysis results, product recommendations, customer segmentation.
-    Present the solution in Business English (5-7 minutes).

5.    Benefits for students:

-    Master how to process real data in e-commerce.
-    Get familiar with the process of training, integrating and deploying AI models.
-    Fullstack + Data Analytics + AI skills.
-    Ability to present AI ideas in specialized English.