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Field Guide UT Austin

M 340LUpper division3 credit hours

M 340L Matrices and Matrix Calculations

Since 2011, M 340L has averaged 3.13 with 37% A’s. In Spring 2026 it averaged 3.35, above the 3.27 average for undergraduate M classes that term.

Registration details

Before you register

Listed for Spring 2027 · UT’s published schedule

UT prerequisites and restrictions
Prerequisites
Mathematics 408C, 408K, or 408N with a grade of at least C-.
Who can take it
Restricted to non-mathematics majors.

Check sections and seatsSearch UT syllabiRelated courses

Catalog edition
2026–27
Class hours a week
3
Grading
Letter grade or pass/fail, your choice
Repeat for credit
No

Grade distribution

Spring 2026: 754 letter grades, 3.35 average GPA, 48% A’s, 7 sections

Bars show the selected term. Short lines show all terms combined.

Grade counts
GradeStudentsShareAll terms
A36047.7%36.9%
A−9212.2%10.3%
B+699.2%10.5%
B638.4%13.0%
B−537.0%6.4%
C+354.6%6.1%
C233.1%5.8%
C−182.4%3.7%
D+91.2%1.5%
D91.2%2.0%
D−91.2%0.7%
F141.9%3.0%
Q, W, CR, and others54Not in the average

How have grades changed?

UT’s grade reports show 46 terms from Summer 2011 to Summer 2026 (15 falls, 15 springs, and 16 summers).

Spring 2026 3.35 average · 48% A’s · 754 grades
M 340L average GPAAll undergraduate M classesLetter grades each term
Grades by term
TermSectionsLetter gradesAverage GPAA’s
Summer 20261372.3127.0%
Spring 202677543.3547.7%
Fall 202566413.2035.3%
Summer 20251643.1632.8%
Spring 202577123.3852.9%
Fall 202466433.4148.4%
Summer 20241743.2144.6%
Spring 202477133.5153.6%
Fall 202355243.2338.5%
Summer 20231702.9641.4%
Spring 202366533.0730.0%
Fall 202255213.2341.1%
Summer 20221813.5460.5%
Spring 202264423.0031.2%
Fall 202154193.1433.2%
Summer 20211863.5369.8%
Spring 202164643.6660.3%
Fall 202054253.4044.9%
Summer 202011163.7075.0%
Spring 202074513.7874.7%
Fall 201954533.2439.5%
Summer 20191432.9232.6%
Spring 201975763.1837.2%
Fall 201844273.2034.9%
Summer 20181453.0746.7%
Spring 201875763.0736.6%
Fall 201775693.1535.5%
Summer 20171502.9840.0%
Spring 201787193.2840.3%
Fall 201686703.0031.2%
Summer 20161672.9729.9%
Spring 201687693.0031.2%
Fall 201587463.0533.4%
Summer 20151742.8212.2%
Spring 201588322.8425.4%
Fall 201488303.1539.5%
Summer 201421213.0129.8%
Spring 201488982.9529.7%
Fall 201377402.9930.1%
Summer 201321042.9026.0%
Spring 201388872.9430.3%
Fall 201266002.8924.2%
Summer 201221233.3752.0%
Spring 201287972.6514.2%
Fall 201165802.6216.4%
Summer 201121143.0333.3%

What’s M 340L about?

Techniques of matrix calculations and applications of linear algebra. Only one of the following may count: Mathematics 340L, 341, Statistics and Data Sciences 329C. Three lecture hours a week for one semester.

Prepare for class

  • Matrix calculations
  • Linear algebra
  • Linear systems

Review · Review how row and column dimensions control whether a product is defined.

Self-check · What are the dimensions of the product of a 2-by-3 matrix and a 3-by-4 matrix?

Show the answer

2-by-4. The matching inner dimensions allow the product, and the outer dimensions give its size.

Source for the course topics

Instructor evaluations

UT posts its course evaluation results as one public list per term. Open a term and look for M 340L in it: Spring 2026 · Fall 2025 · Summer 2025 · Spring 2025.

UT’s CES ratings search · Results before Fall 2022 · Syllabi and evaluations for M 340L

The guide links UT’s own results and copies no numbers.

What comes before and after?

Leads to

Show 44 more
M 339UActuarial Contingent Payments I2.95C S 354Computer Graphics3.36M 346Applied Linear Algebra2.95C S 331HAlgorithms and Complexity: Honors3.50ECE 460JData Science Laboratory3.46M 374MMathematical Modeling in Science and Engineering2.90C S 376Computer Vision3.71C S 346Cryptography3.06PHY 329Introduction to Computational Physics3.25ECE 362KIntroduction to Automatic Control2.98M 349PActuarial Statistical Estimates3.21ECE 461PData Science Principles3.24CSE 383CNumerical Analysis: Linear Algebra3.74M 339GPredictive Analytics3.69C S 354HComputer Graphics: Honors3.81SDS 334Intermediate Statistical Methods3.87C S 363HPrinciples of Machine Learning I: Honors3.44SDS 374CParallel Computing for Science and Engineering3.42ECE 372NTelecommunication Networks3.56C S 342SIntroduction to Speech and Audio Processing3.62C S 333PScience of High-Performance Computing3.52ECE 313HLinear Systems and Signals: Honors3.24M 383ENumerical Analysis: Linear Algebra3.51M 389PActuarial Statistical Estimates3.87BME 345Graphics and Visualization LaboratoryC S 323HElements of Scientific Computing: HonorsC S 363GGeometric Foundations of Machine LearningC S 367Numerical MethodsCOE 179L.1Introduction to Machine Learning and Data SciencesCOE 279L.1Introduction to Machine Learning and Data SciencesCOE 379L.1Introduction to Machine Learning and Data SciencesCOE 479L.1Introduction to Machine Learning and Data SciencesECE 371DIntroduction to Neural NetworksECE 371MCommunication SystemsECE 372SCryptography and Network SecurityG E 207ESupplemental Instruction for Mathematics 340LM 349TTime Series and Survival-Model EstimationM 374GLinear Regression AnalysisM 376CTopics in Methods of Applied MathematicsM 389TTime Series and Survival-Model EstimationM 389UActuarial Contingent Payments ISDS 364Bayesian StatisticsSDS 368Statistical TheorySDS 393CNumerical Analysis: Linear Algebra

Sources

The Spring 2027 listing comes from UT’s printed schedule, checked November 9, 2026.

Class details come from UT’s Mathematics catalog page, 2026–27 edition, checked October 27, 2026. Match requirements to your own catalog and degree plan.

Grades come from UT’s grade dashboard, updated October 27, 2026. UT leaves out some small classes to protect students’ privacy.

Each letter grade counts once. A− has its own bar. Subject averages cover the same subject, level, and term, including this class. How the averages are calculated.

More M classes

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