Covers machine learning fundamentals through tree and unsupervised learning with hands-on Python labs.
Notices
The Ch 5 Tree Algorithms slides have been uploaded in both PDF and PPTX formats and linked directly from the Week 9-10 materials table below. The deck covers decision trees, cross-validation, grid search, and ensemble methods in one package.
A hard quiz PDF for extended review across Chapters 01-04 has been uploaded to the data folder and linked from both the shared quiz row and the assignments table below.
Slides related to MCP and Skills were uploaded to the data folder in both PDF and PPTX formats, and linked on the shared reference row for direct access.
The Harness Engineering deck is now linked in both PPTX and PDF formats, along with a downloadable `harness-project` markdown starter ZIP derived from the lecture content. It can be used as a starting point for project practice and Codex harness experiments.
The Ch04 multiple-choice quiz PDF is now available for review. Questions, answers, and explanations are included in the same file, and students can download it directly from the materials table and the assignments section below.
A supplementary PDF on softmax and cross-entropy was added to the Chapter 04 materials row. Students can use it as a review handout alongside the Week 6-7 classification lectures.
The Ch3 multiple-choice quiz PDF is now available for self-study. Questions, answers, and explanations are included in the same file, and students can download it directly from the materials table and the assignments section below.
The CH1-2 multiple-choice quiz PDF is now available for self-study. Questions, answers, and explanations are included in the same file, and students can download it directly from the assignments table and the shared materials row below.
Week 5-7 lecture materials are now linked as PDFs. The full pre-midterm range (Preview through Week 7) is currently published on this page.
Preview and Week 1-3 lecture materials (slides/notebook), plus the HW1 package, were synchronized from the data folder.
This semester covers CHAPTER 01-06. Deep learning chapters (Ch7-10) are not included this term.
Textbook, weekly plan, and grading criteria will be announced in the first session. Please set up Python (Anaconda or Google Colab) in advance.
Office hours are Mon/Tue 11:00-12:00 and Thu 12:00-13:00. Appointment is recommended.
Distributed as week1-assignment.zip. Complete assignment.ipynb, then upload your submission to LMS. 100 points, 5 problems.
Slides & Notebooks
| Week | Topic | Material |
|---|---|---|
| 1 | Course Introduction and Colab Setup | Slides |
| 2 | Ch 1 AI Overview — Markets and ML | Slides · Lecture Note · Ch1-2 Quiz/Answer PDF |
| 3 | Ch 1 Reinforcement and Colab Practice | |
| 4 | Ch 2 Working with Data — Train/Test, Preprocessing | Slides · Lecture Note |
| 5 | Ch 3 Regression and Regularization | Slides · Ch3 Quiz/Answer PDF |
| 6 | Ch 4 Classification (1) — Logistic Regression | Slides · Supplement: Softmax & Cross-Entropy · Ch4 Quiz/Answer PDF |
| 7 | Ch 4 Classification (2) — SGD Classifier | |
| 8 | Midterm | — |
| 9 | Ch 5 Tree Algorithms (1) — Decision Tree | Slides PDF · Slides PPTX |
| 10 | Ch 5 Tree Algorithms (2) — CV / Grid Search / Ensemble | |
| 11 | Ch 6 Unsupervised Learning (1) — Clustering, k-Means | To be uploaded |
| 12 | Ch 6 Unsupervised Learning (2) — PCA | To be uploaded |
| 13 | Vibe-Coding AI Project (1) — Topic and Planning | Project guide released in class |
| 14 | Vibe-Coding AI Project (2) — Implementation and Presentation | Final output submission and presentation |
| 15 | Final Exam | — |
| Shared | Quiz / Answer / Code Reference | Ch1-2 Quiz PDF with answers and explanations · Ch3 Quiz PDF with answers and explanations · Ch4 Quiz PDF with answers and explanations · CH1-4 Hard Quiz PDF · Latest code note scheduled |
| Shared | Project Reference — Harness Engineering | Slides PDF · Slides PPTX · harness-project starter ZIP |
| Shared | Project Reference — MCP / Skills | Slides PDF · Slides PPTX |
Evaluation & Tasks
| Component | Points | Rule |
|---|---|---|
| Midterm | 30 | Week 8 |
| Final | 30 | Week 15 |
| Quiz | 10 | |
| Final Project | 20 | Weeks 13-14 output and presentation |
| Attendance + Core Competency | 10 | Combined evaluation of attendance and class participation |
| No. | Title | Files | Submission | Status |
|---|---|---|---|---|
| HW1 | Fruit Classification with KNN (100 pts, 5 problems) | [week1-assignment.zip] | LMS upload (manual grading) | Active |
| Quiz | Ch 1–2 Multiple-Choice Quiz Review Sheet | Question/Answer/Explanation PDF | Self-study material | Available |
| Quiz | Ch 3 Multiple-Choice Quiz Review Sheet | Question/Answer/Explanation PDF | Self-study material | Available |
| Quiz | Ch 4 Multiple-Choice Quiz Review Sheet | Question/Answer/Explanation PDF | Self-study material | Available |
| Quiz | CH1-4 Hard Quiz Review Sheet | Question PDF | Self-study material | Available |
| Project | Vibe-Coding AI Project (Weeks 13-14) | Topic planning, implementation, and presentation | Class + final submission | Planned |
| Reference | Original Practice Code Repository | github.com/rickiepark/hg-mldl | Self-study | Always |
Local check for HW1: pytest tests/test_assignment.py -v. Follow variable names and file structure in README for grading compatibility.
Upload & Deadlines
| Item | Last Upload | Next Deadline | Note |
|---|---|---|---|
| Lecture Materials (Weeks 9-10, Ch 5) | 2026-05-10 | Weeks 9-10 published | Added the Tree Algorithms slides in PDF/PPTX |
| Lecture Materials (Preview-Week 7) | 2026-03-30 | Pre-midterm range fully published | Added the Ch4 supplementary PDF link |
| Project Reference | 2026-04-07 | Available anytime | Added the Harness Engineering and MCP/SKILLS slides (PPTX/PDF) |
| Quiz (Hard, CH1-4) | 2026-04-14 | Review PDF published | Combined question set across Chapters 01-04 |
| HW1 | 2026-03-03 | 2026-03-17 23:59 | LMS upload (manual grading) |
| Quiz (CH4) | 2026-03-30 | Review PDF published | Questions, answers, and explanations included |
| Quiz (CH3) | 2026-03-28 | Review PDF published | Questions, answers, and explanations included |
| Quiz (CH1-2) | 2026-03-16 | Review PDF published | Questions, answers, and explanations included |
| Final Project | 2026-03-03 (plan) | Submission/Presentation in Weeks 13-14 | Topic guide distributed in class |
| Date | Category | Change |
|---|---|---|
| 2026-05-10 | Materials | Uploaded the Ch 5 Tree Algorithms PDF/PPTX and linked them in the Week 9-10 materials table |
| 2026-04-14 | Quiz | Uploaded the CH1-4 Hard Quiz PDF and linked it on the shared materials and assignments tables |
| 2026-04-07 | Materials | Uploaded the MCP/SKILLS slides in PPTX/PDF and linked them on the shared reference row |
| 2026-04-06 | Materials | Uploaded the Harness Engineering slides in PPTX/PDF and added the harness-project starter ZIP |
| 2026-03-30 | Quiz | Uploaded the Ch4 multiple-choice quiz PDF |
| 2026-03-30 | Materials | Added the Ch4 Softmax/Cross-Entropy supplementary PDF link |
| 2026-03-28 | Quiz | Uploaded the Ch3 multiple-choice quiz PDF |
| 2026-03-15 | Materials | Added PDF links for the pre-midterm range (Weeks 5-7) |
| 2026-03-06 | Operations | Added upload/deadline/history tables |
| 2026-03-03 | Assignment | Published HW1 package and autograding guide |
| 2026-03-03 | Curriculum | Confirmed semester scope as CH1-6 only |
| 2026-02-28 | Materials | Linked Preview and Week 1-3 files |
Course Inquiry
Office: Convergence Science Bldg. 2F, Room 24221 (Ext. 2561)
Email: sangdonpark@dju.kr
Office Hours: Mon/Tue 11:00-12:00, Thu 12:00-13:00 (appointment recommended)
Email subject format: [AI][Student ID] Topic