Nova School of Business and Economics

Linear Algebra

Code

1303

Academic unit

null

Department

null

Credits

7,5

Teacher in charge

Rui Mota; Tânia Silva

Teaching language

Portuguese and English

Objectives

Introduction to the study of systems of linear equations with the use of matrices.

Prerequisites

N/A

Subject matter

  • 1. Gauss and Matrices;

  • 2. Vector Spaces;

  • 3. Determinants;

  • 4. Linear Transformations;

  • 5. Eigenvalues and Eigenvectors;

  • 6. Quadratic Forms.

Bibliography

Lay D., Lay S., McDonald J. Linear Algebra and its applications, Pearson Education Limited, England, 2016, ISBN 978-1-292-09223-2.

Resources

Slides from theoretical lectures, exercise book and previous year’s exams available on Moodle.

Teaching method

Theoretical lectures and practical sessions with pre-assigned problems.

Evaluation method

The Final Exam is mandatory and must cover the entire span of the course. Its weight in the final grade can be between 30 to 70%. The remainder of the evaluation can consist of class participation, midterm exams, in class tests, etc. Overall, written in class assessment (final exam, midterm) must have a weight of at least 50%.

There are two midterm tests (each 15% of the final grade each), a final exam (65% of the final grade), and 5% to quizzes or work projects. A minimal grade of 8/20 is required in the final exam.

Regular exam period:

Continuous assessment elements (and their weights): 35%

Final exam (and their weighting): 65%

Resit exam period:

Continuous assessment (and their weights) if different than 100%: 35%

Final exam (and its weight): 65%

Grade improvement in regular period:

Continuous assessment (and their weights) if the scanning feature doesn’t count 100%: 35%

Final exam (and its weight): 65%

Grade improvement in resit period:

Continuous assessment (and their weights) if different than 100%: 35%

Final exam (and their weighting): 65%

Courses