Courses Offered

COMP3362 Hands-on AI: experimentation & applications

COMP3362 Hands-on AI: experimentation & applications

2022-23
Instructor(s):Choi Loretta
(Class A) No. of credit(s):6
Recommended Learning Hours:
Other: 39.0
Pre-requisite(s):COMP3314
Co-requisite(s):  
Mutually exclusive with:COMP3359
Remarks:

Course Learning Outcomes

1. understand the basics and general frameworks of the common AI approaches (e.g., search, machine learning, deep learning) for problem solving
2. understand the workflow, the capabilities and the limitations of some state-of-the-art AI technologies, platforms and tools for solving data intensive problems with AI approaches
3. identify potential AI-oriented tasks in a problem; design and implement AI pipelines properly in solving the corresponding tasks
4. carry out AI experimentation with justifiable processes and evaluation; analyze and address potential issues arising from the experimentation
Mapping from Course Learning Outcomes to Programme Learning Outcomes
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CLO 1TTTTT
CLO 2TTTT
CLO 3TTTTTTTT
CLO 4TTTTTT

T - Teach, P - Practice
For BEng(CompSc) Programme Learning Outcomes, please refer to here.

Syllabus

Calendar Entry:
This course allows students to experience a complete AI experimentation and evaluation cycle with a hands-on project. The course comprises two main components: students first acquire the basic know-how of the state-of-the-art AI technologies, platforms and tools (e.g., TensorFlow, PyTorch, scikit-learn) via example-based modules in a self-paced learning mode. Students will then identify a creative or practical data-driven application and implement an AI-powered solution for the application as the course project.

Detailed Description:

Self-Paced Learning Mapped to CLOs
Introduction to AI methodologies and the experimentation cycle1, 2
Selected state-of-the-art AI platforms & tools1, 2
Project Mapped to CLOs
Problem Identification1, 2, 3
Implementation1, 2, 3, 4
Demonstration & Presentation1, 2, 3, 4

Assessment:
Continuous Assessment: 100%

Teaching Plan

Please refer to the corresponding Moodle course.

Moodle Course(s)

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