Summer Term 2017/2018
Detailed information about the Czech version of the course is available on the web page of
General subject information is available in
Hours of Instruction
|Lecture||Monday||8:15 - 9:45||EB226
|Discussion||Monday||10:00 - 11:30||EB226
|Thursday||11:30 - 12:30||EA533
In posted times I shall be available in my office for your questions on LA, though I recommend that you let me know by email about your intention to come.
Often some more work duties arise in given times.
I could be available for your questions in some other times too, but after former per-email agreement.
office room EA533, tel: 59 732 5870
Content of the Course
- Introductory Lectures: (Course organization) LA00-int-ch.pdf, (Applications) LA_0.ppsx
- Matrix Algebra LA01-matrices-ch.pdf ,
- Systems of Linear Equations LA02-linsyst-ch.pdf
- The Inverse of a Matrix LA03-inverse-ch.pdf
- Vector Spaces LA04-VectorSpaces-ch.pdf,
- Linear Independence, Basis LA05-LinearIndep-ch.pdf
- Dimension of a Vector Space, Rank LA06-DimensionRank-ch.pdf
- Linear Mapping LA07-LinearMapping-ch.pdf
- Bilinear Forms LA08-BilinearForms-ch.pdf
- Quadratic Forms LA09-QuadraticForms-ch.pdf
- Scalar Product, Orthogonality LA10-ScalarProduct-ch.pdf
- Determinants LA11-Determinants-ch.pdf
- Introduction to Spectral Theory LA12-Spectrum-ch.pdf
- Exam Review
Discussions - writing English version of materials is in process
- Complex Numbers LA01-cv-complex.pdf
- Vector algebra LAex-en-01.pdf , laex_01.pdf
- Matrix Algebra LAex-en-02.pdf , laex_02.pdf , lacv2.pdf
- Solving Systems of Linear Equations LAex-en-03.pdf , laex_03.pdf , lacv3.pdf
- The Inverse of a Matrix LAex-en-04.pdf , lacv4.pdf , laex_04.pdf
- Vector Spaces and Subspaces LAex-en-05.pdf , lacv5.pdf , laex_05.pdf
- Linear Combinations, Linear Dependence and Independence of Vectors, Basis,
LAex-en-06.pdf , lacv6.pdf , laex_06.pdf
- Vector Coordinates, Matrix Rank, Rank and Consistency of the System (Frobeni's Theorem),
LAex-en-07.pdf , lacv7.pdf , laex_07.pdf
- Linear Mapping, Kernel, Range, Matrix of a Linear Mapping,
LAex-en-08.pdf , lacv8.pdf , laex_08.pdf
- Bilinear and Quadratic Forms, Matrix of a Bilinear or a Quadratic form,
LAex-en-09.pdf , lacv9.pdf , laex_09.pdf
Klasification of Quadratic Forms, Congruences,
LAex-en-10.pdf , lacv10.pdf , laex_10.pdf
- Scalar Product, Orthogonality, Gram-Schmidt Process,
LAex-en-11.pdf , lacv11.pdf , laex_11.pdf
- Determinants, Cramer Rule,
LAex-en-12.pdf , lacv12.pdf , laex_12.pdf
- Eigenvalues and Eigenvectors, Characteristic Polynomial, Characteristic Equation, Spectral Decomposition,
Time Line of the Course for the Summer Term 2018
Lectures and Discussions - organized in 14 weeks of the semester
|2.||19.02.||Lecture||Introductory lecture - Vector, Matrix algebra||
|Discussion||Vector and Matrix algebra||
|3.||26.02.||Lecture|| Systems of Lin. Equations, Gaussian Elimination ||
|Discussion|| Matrix Algebra and Solving Systems of Linear Equations ||
|4.||05.03.||Lecture||Matrix Inverse, Introduction to Vector Spaces||1-st part Homework due,
1-st Semester est
|5.||12.03.||Lecture||Vector spaces, Linear dependency, Basis||
|Discussion||Vector Spaces/Subspaces, Linear combinations||
|6.||19.03.||Lecture||Linear Independency/Dependency, Dimension and Rank||On Friday (23.03.) - substituting lecture and discussion
on Complex numbers at 9:00 in lecture-room ??
|Discussion|| Linear Dependence/Independence of Vectors, Basis||
|7.||26.03.||Lecture||Basis, Dimension, Rank of a matrix ||2-nd part Homework due,
2-nd Semester Test
|Discussion||Basis, Dimension, Rank of a matrix
|8.||02.04.||Lecture||holiday - Eastern ||
|9.||09.04.||Lecture||Linear Mapping ||
|Discussion||Linear Mapping ||
|10.||16.04.||Lecture||Bilinear forms and Quadratic forms||
|Discussion||Linear mapping (review), Bilinear forms||
|11.||23.04.||Lecture||Quadratic forms - clasification
||3-rd part Homework due,
3-rd Semester Test
|Discussion||Quadratic forms - clasification
|12.||30.04.||Lecture||Determinants, Cramer's Rule||
|Discussion||Determinants, Cramer's Rule||
|13.||07.05.||Lecture||Introduction to Spectral Theory of Matrices
||4-th part Homework due,
4-th Semester Test,
Friday (11-th of May, at 9:00, in EB226) - substituting tests
|Discussion||Eigenvalues and Eigenvectors of a Matrix
|14.||14.05.||Lecture||Scalar Product, Orthogonality ||
|Discussion||Scalar Product, Orthogonality, Review||
You need to sign up in IS EDISON for the opened exam term.
|1.||Monday 21.05.|| EB226 ||9:00 AM
|2.||Thursday 24.05.|| EC1 || 9:00 AM
|3.||Thursday 07.06.|| EC1 || 9:00 AM
|4.||Tuesday 19.06.|| EC2 || 9:00 AM
|5.||Tuesday 26.06.|| will be opened on request of a student
You are expected to work out the homework by hand - neatly (it must be readable).
You may discuss the problems and verify the results with your colleagues, but it is your responsibility to solve all the problems individually and make sure,
that you understand all the operations necessary to obtain the results. The purpose of the homework is to provide you with exercises on which you can practise your LA skills and get prepared for the semester tests. If you cheat on homework, you cheat on yourself and you will most likely have difficulties to pass the tests. The homework is to be handed in class or to me in my office (EB533) by the due date. You can also email me the scanned copy of your homework, however only as readable "pdf" file. (I will not accept "gif","doc" or any other electornic formats).
The same instructions as to homework part-1 do apply. Write neatly and staple together all sheets of your work.
Complete assignment is available.
Again, the same instructions as to homework part-1 do apply. Write neatly and staple together all sheets of your work.
You are supposed to work out the whole assignment, despite of it will not be collected. You are recommended to finish the first 3 chapters before the 4-th test.
- Course is instructed in 14 lectures (theoretical lessons) and 14 discussions (practical lessons).
- Requirements to obtain the credit for the course are:
- At least 80% of active attendance at lectures and discussions (up to 2 absences allowed).
- Four written tests, 6pts each, minimum 10pts out of 24pts.
If the minimum 10pts is not achieved, a student can retake the tests in the form of one summary test provided he/she gained overall 7,8 or 9pts at the end of the semester. If the retaken test is solved successfully (over 50\%) the total score is 10pts.
- Work out the assigned homework, three up to four parts, together 6pts. No minimum # of points is required.
- To obtain the credit for the course, the minimum of 10pts is necessary. Maximum is 30pts.
- Course is finished by written Final Exam.
English materials and literature:
- WIMS - Linear algebra calculator
- Matrix calculator
- Matrix Row Reducer
- Wolfram Alpha