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Course title |
Introduction to Statistical Learning |
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Semester |
109-2 |
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Designated for |
COLLEGE OF SOCIAL SCIENCES GRADUATE INSTITUTE OF POLITICAL SCIENCE |
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Instructor |
HUAN-KAI TSENG |
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Curriculum Number |
PS5696 |
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Curriculum Identity Number |
322EU2320 |
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Class |
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Credits |
2.0 |
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Full/Half
Yr. |
Half |
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Required/
Elective |
Elective |
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Time |
Tuesday 8,9,10(15:30~18:20) |
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Remarks |
Restriction: juniors and beyond
The upper limit of the number of students: 30.
The upper limit of the number of non-majors: 10. |
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Course
Website |
https://www.dropbox.com/sh/qcq5ddmf46xu20l/AACXG9ul5dcHMzQE0tjiEUA1a?dl=0 |
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Course introduction video |
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Table of Core Capabilities and Curriculum Planning |
Association has not been established |
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Course Syllabus
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Please respect the intellectual property rights of others and do not copy any of the course information without permission
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Course Description |
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Course Objective |
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Course Requirement |
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Student Workload (expected study time outside of class per week) |
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Office Hours |
Appointment required. Note: By appointment |
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References |
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Designated reading |
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Grading |
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Week |
Date |
Topic |
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Week 1 |
2/23 |
Introduction |
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Week 2 |
3/2 |
Regression Methods I |
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Week 3 |
3/9 |
Regression Methods II |
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Week 4 |
3/16 |
Dimensionality and Preprocessing |
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Week 5 |
3/23 |
Nonlinear Regression I |
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Week 6 |
3/30 |
Nonlinear Regression II |
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Week 7 |
4/6 |
No Class |
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Week 8 |
4/13 |
Statistical Learning I |
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Week 9 |
4/20 |
Statistical Learning II |
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Week 10 |
4/27 |
Short Film and Term Project Q & A |
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Week 11 |
5/4 |
Statistical Learning III |
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Week 12 |
5/11 |
Dimensionality Reduction and Prediction Accuracy |
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Week 13 |
5/18 |
Feature Engineering |
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Week 14 |
5/25 |
Resampling Methods |
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Week 15 |
6/1 |
Text mining |
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Week 16 |
6/8 |
Drawing Inference from Text Data |
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Week 17 |
6/15 |
Course wrap-up (or Social Network Analysis (TBD)) |
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Week 18 |
6/22 |
Final (no lecture, no class) |