Senior Honors Thesis
3 creditsSenior Honors Thesis is a course in which students conduct faculty-guided, honors-level original research.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Current instructor
Original student reviews · all captured dates
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Senior Honors Thesis is a course in which students conduct faculty-guided, honors-level original research.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Advanced topics in using data to answer economic questions, focusing on interpreting empirical papers and applying econometric methods to real data.
Offering recorded · Spring 2027 · Sources
Recent recorded grades — Spring 2023: 3.76 GPA, 86.7% A/AB (n=45 letter grades); Spring 2025: 3.75 GPA, 82.5% A/AB (n=40 letter grades); Spring 2026: 3.84 GPA, 95.1% A/AB (n=41 letter grades).
historical GPA · grades
Spring 2023–Spring 2026Economic Statistics and Econometrics II covers extensions of the linear regression model and introduces multiple equation models.
Offering recorded · Spring 2027 · Sources
Recent recorded grades — Spring 2024: 3.54 GPA, 72.9% A/AB (n=48 letter grades); Spring 2025: 3.56 GPA, 75.0% A/AB (n=44 letter grades); Spring 2026: 3.62 GPA, 80.0% A/AB (n=30 letter grades). Includes jointly taught sections.
historical GPA · grades
Spring 2023–Spring 2026Distinct courses recorded per term
Explore courses taught by this instructor →Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
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"source_instructor_id": "hdchiang",
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"name": "Harold Chiang",
"email": "HDCHIANG@WISC.EDU",
"first_observed_at": "2026-09-07 15:55:43.033547+00:00",
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"courses": [
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"course_uid": "course_8942e475a0e4cd802f693dfd",
"course_id": "ECON 710",
"title": "ECONOMIC STATISTICS AND ECONOMETRICS II",
"credits_min": 3,
"credits_max": 4,
"gpa": 3.425
},
{
"course_uid": "course_ed96ba4e4f42515e97205481",
"course_id": "ECON 682",
"title": "SENIOR HONORS THESIS",
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"gpa": 4
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{
"course_uid": "course_f4f5c3694ef826912b11fa8e",
"course_id": "ECON 695",
"title": "TOPICS IN ECONOMIC DATA ANALYSIS",
"credits_min": 3,
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"gpa": 3.648
}
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