MATH201 Linear Algebra

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Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
MATH201 Linear Algebra 3 2 6 Monday 13:00 - 14:50 Wednesday 11:00 - 11:50
Prerequisite MATH101 It is a prerequisite to
Lecturer Mehmet Can Office Hours / Room / Phone
E-mail mcan@ius.edu.ba
Assistant Assistant E-mail
Course Objectives The goal of the course is to explain the main concepts and fundamental processes of linear systems of algebraic equations and applications of the matrix theory to everyday problems. The course will provide all necessary material related linear algebra and after taking this course, students will realize linear algebra and linear transformations have impacts on our lives in many ways and will almost certainly become more important in future.
Textbook Linear Algebra, L. Miller, M. Can
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. Solve large systems of linear algebraic systems
  2. Understand basic matrix processes in everyday life problems
  3. Understand the role of matrix theory in modeling meteorological and financial phenomena.
Teaching Methods Class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress.
WEEK TOPIC REFERENCE
Week 1 Linear Systems of Equations 1.1, 1.2, 1.3
Week 2 Linear Systems of Equations 1.4
Week 3 Vector Algebra 2.1, 2.2, 2.3, 2.4, 2.5
Week 4 Real Vector Spaces. FIRST IN-TERM EXAM 3.1, 3.2, 3.3
Week 5 Real Vector Spaces 3.4, 3.5, 3.6
Week 6 Inner Product Spaces 4.1, 4.2
Week 7 Inner Product Spaces MIDTERM EXAM 4.3
Week 8 Linear Transformations and Matrices 5.1, 5.2
Week 9 Linear Transformations and Matrices 5.3
Week 10 Eigenvalues and Eigenvectors SECOND IN-TERM EXAM 6.1
Week 11 Eigenvalues and Eigenvectors 6.2
Week 12 Eigenvalues and Eigenvectors 6.3
Week 13 Eigenvalues and Eigenvectors 6.3
Week 14 Applications 7.1, 7.2, 7.3
Week 15 Applications 7.4, 7.5
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs
Final Exam 1 40
Semester Evaluation Compenents
Midterm Exam 1 30
Quizzes 2 30
***     ECTS Credit Calculation     ***
 Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
Lecture Hours 3 15 45 In-term Exam Study 5 2 10
Active tutorials 2 13 26 Midterm Exam Study 5 1 5
Home study 4 13 52 Final Exam Study 12 1 12
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 21/02/2020
QR Code for https://ecampus.ius.edu.ba/course/math101-calculus-i

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