Spring 2027

Success in Engineering Academics

Success in Engineering Academics teaches evidence-based strategies for engineering students, covering study skills, time management, career exploration, academic writing, reading comprehension, and self-directed learning.

offering recorded1 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=17 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=27 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=21 letter grades).

What you’ll be able to do

  • Practice evidence based learning strategies (such as elaboration, recall, spaced practice)

  • Develop and implement time-management techniques

  • Practice problem solving strategies

  • Identify the tools for being a successful engineering student

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

None

  • None
INTEREGR 140

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • None

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 180
LEC 002Classroom Instruction0 / 180

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

Meeting source records
Download part 1

Student experience

the class

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=17 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=27 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=21 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Study skills and time management
  • Career exploration and academic writing
  • Academic reading comprehension and motivation
  • Problem solving strategies

Skills

  • Evidence-based learning strategies such as elaboration, recall, and spaced practice
  • Time-management techniques
  • Career exploration, academic writing, academic reading comprehension, and self-directed learning

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

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.

Download part 1
Selected offering source records
INTEREGR 140 · Spring 2027

Success in Engineering Academics

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:496:026688",
    "course_id": "INTEREGR 140",
    "course_uid": "course_a612090cf98a9989c175a9e4",
    "term_id": "1274",
    "source_course_id": "026688",
    "source_subject_id": "496",
    "title": "Success in Engineering Academics",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Not Applicable"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "28589cfa322a9f9840eb7765954a4904ca9addacd4d2cf0b9bfcf976b4ce7ea4",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}