Human Resource Management

MHR 305 covers human resource management policies, practices, and techniques for staffing, training, labor relations, wages, and communications.

offering recorded3 credits
Recorded instructors · Fall 2026 Loren Kuzuhara2.7/5Janani Iyer

Summary

1 / 6

The course typically involves three exams, one group project, and individual discussion assignments. While the material is considered straightforward, some students report that exams can be difficult due to disorganization, typos, or references to unprovided case studies.

Grade history

average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

None

  • None
MHR 305 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • None

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 2.63/5 from 238 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

For this course: 3.9/5 raw quality · 2.2/5 difficulty · 37 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

Loren Kuzuhara is frequently described as enthusiastic, funny, and caring, with students noting his engaging use of pop culture and extra credit opportunities. Many reviewers found the course straightforward and exams fair, though some noted subjective questions or typos.

One reviewer characterized Kuzuhara as highly disorganized, warning that exam questions sometimes contradicted practice materials or referenced untaught case studies, and advised against taking the class if avoidable.

Recent recorded grades — Spring 2025: 3.44 GPA, 71.8% A/AB (n=103 letter grades); Fall 2025: 3.70 GPA, 82.7% A/AB (n=98 letter grades); Spring 2026: 3.50 GPA, 68.6% A/AB (n=105 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

Historical reviews of Jean Grube: Jean Grube is consistently praised for engaging students and encouraging critical thinking, though her class is described as challenging with tricky exams. Reviewers highlight her industry experience and willingness to help during office hours, while noting that participation is heavily weighted and slides can be disorganized or fast-paced.

BORBALA KULCSAR is recorded teaching in Spring 2014, Fall 2014, Spring 2015. Recorded history may be incomplete and does not establish a future schedule.

JEAN GRUBE is recorded teaching in Spring 2007, Fall 2007, Spring 2008, Fall 2008, Spring 2009, Fall 2009, Spring 2010, Fall 2010, Spring 2011, Fall 2011, Spring 2012, Fall 2012, Spring 2013, Fall 2013. Recorded history may be incomplete and does not establish a future schedule.

LOREN KUZUHARA is recorded teaching in Fall 2006, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction46 / 500
LEC 002Classroom Instruction48 / 500

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Loren Kuzuhara is described as enthusiastic and accessible, often providing practice exams and extra credit to help students succeed. Some reviewers note that his exams can be disorganized or subjective, with occasional inconsistencies between practice materials and actual tests.

Recent recorded grades — Spring 2025: 3.44 GPA, 71.8% A/AB (n=103 letter grades); Fall 2025: 3.70 GPA, 82.7% A/AB (n=98 letter grades); Spring 2026: 3.50 GPA, 68.6% A/AB (n=105 letter grades).

difficulty & workload

The course typically involves three exams, one group project, and individual discussion assignments. While the material is considered straightforward, some students report that exams can be difficult due to disorganization, typos, or references to unprovided case studies.

Reviewers appreciate Kuzuhara's engaging teaching style, which includes humor, real-world examples, and movie references. Many find the group projects enjoyable and note that attending lectures and using provided practice materials aids in achieving high grades.

Topics

  • Employee staffing
  • Employee training
  • Labor relations
  • Wages and compensation
  • HR communications

Skills

  • Applying HR principles to staffing, training, labor relations, wages, and communications

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.15 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records
MHR 305 · Fall 2026

Human Resource Management

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:236:003117",
    "course_id": "MHR 305",
    "course_uid": "course_20ad8a3fe94b90ec70d01ecd",
    "term_id": "1272",
    "source_course_id": "003117",
    "source_subject_id": "236",
    "title": "Human Resource Management",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring, Summer"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "d0c6c5275047c27781c516e752355dcac5b0be3952760bbef5448570f881a4fc",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}