PUBPOL-741D
EMP ANALYSIS FOR ECON DEV
Offered Fall 2026
Term
Instructor
Overview
Feedback is mixed. The clearest upside is that some students still find real value in the course. Best for students who can handle a demanding pace without needing constant hand-holding.
DepartmentPPS
Terms offeredFall
Typical enrollment19–20
Semesters of data2
4.4
Hrs / week
30
Responses
59
Enrollment
51%
Response Rate
Evaluation Scores
Overall quality
Teaching, content, and experience combined.
3.8
Intellectually stimulating
Challenges students to think deeply.
3.8
Instructor effectiveness
Explains concepts and facilitates learning.
3.9
Difficulty
Higher means harder.
3.8
Feedback Analysis
Feedback Analysismedium
Analysis based on student evaluations
Based on 77 comments across 3 sections
Feedback is mixed. The clearest upside is that some students still find real value in the course. Best for students who can handle a demanding pace without needing constant hand-holding.
Student Reports
How hard is the A?
A is doable but not automatic
The signal here is more do-the-work-and-you-should-be-fine than easy-A chatter. Students do not describe the A as automatic, but the evidence also does not paint grading as punishing.
Homework Load
Moderate homework load
Homework load looks moderate. The recurring signal is steady weekly work, but not a course that turns every assignment into a grind.
Lecture Load
Lighter lecture burden
Student comments describe this as more discussion-, seminar-, or workshop-driven than lecture-dependent. The lecture burden itself does not sound like the main source of friction.
Strengths
• There is some positive signal here, but it is not concentrated around one dominant strength.
Tradeoffs
• Difficulty runs high even when comments do not settle on one dominant complaint.
Best fit for
Best for students who can handle a demanding pace without needing constant hand-holding.
Student Responses
It was a practical session and was really helpful in allowing students to dive deep and navigate practical data analysis
Fall 2024 · James, Sebastian
Understand the different ways to run regressions in Python and the mathematical process by which regression equations are derived.
Fall 2024 · James, Sebastian
I gained some insights into the central limit theorem and normal distribution. Hypothesis testing and regression using Python and Excel data analysis software.
Fall 2024 · James, Sebastian
Foundational understanding of Statistics; The concepts of probability and regressions
Fall 2024 · James, Sebastian
Basic knowledge to use Stata. Basics of statistics. little knowledge of statistical analysis.
Fall 2023 · Rangel, Marcos
Rating History
Rating history
Error bars show \u00B11 std dev
| Term | Instructor | Overall | Difficulty | Hrs/wk | Enrolled |
|---|---|---|---|---|---|
| Fall 2024 | James, Sebastian | 4.1 | 3.6 | 4.0 | 40 |
| Fall 2023 | Rangel, Marcos | 3.1 | 4.0 | 5.2 | 19 |
Instructor
Also teaches
PUBPOL-702 APPLIED DEVELOPMENT ECONOMICS4.2PUBPOL-770 PUB FIN IN DEV/EMERGING ECONS4.4PUBPOL-790 SPECIAL TOPICS IN IDP5.0