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= Analytical Geometry \& Linear Algebra -- II =
= Cross-Cultural Communication for IT-Specialists =
 
* Course name: Cross-Cultural Communication for IT-Specialists
+
* Course name: Analytical Geometry \& Linear Algebra -- II
* Course number: 0.1 Course characteristics
+
* Course number: XYZ
   
 
== Course Characteristics ==
 
== Course Characteristics ==
   
 
=== Key concepts of the class ===
 
=== Key concepts of the class ===
  +
* fundamental principles of linear algebra,
 
  +
* concepts of linear algebra objects and their representation in vector-matrix form
   
 
=== What is the purpose of this course? ===
 
=== What is the purpose of this course? ===
  +
This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines. Linear algebra is a branch of mathematics that studies systems of linear equations and the properties of matrices. The concepts of linear algebra are extremely useful in physics, data sciences, and robotics. Due to its broad range of applications, linear algebra is one of the most widely used subjects in mathematics.
=== Course objectives based on Bloom’s taxonomy ===
 
 
==== - What should a student remember at the end of the course? ====
 
By the end of the course, the students should be able to
 
* key conditions for fruitful communication across cultures;
 
* stereotypes and prejudice in different cultures;
 
* non-verbal methods of communication in different cultures;
 
* cultural taboos in formal/informal conversations;
 
* strategies of dealing with cross-cultural misunderstandings.
 
 
==== - What should a student be able to understand at the end of the course? ====
 
By the end of the course, the students should be able to
 
* competences necessary for working in cross-cultural environment;
 
* differences in various cross-cultural dimensions;
 
* strategies of dealing with cross-cultural misunderstandings;
 
* general aspects of formal/informal verbal communication in cross-cultural environment.
 
 
==== - What should a student be able to apply at the end of the course? ====
 
By the end of the course, the students should be able to
 
* methods to identify and combat with cultural shock;
 
* techniques to interpret correctly the cultural values of interlocutors;
 
* strategies of spelling out non-verbal cultural signs typical of their interlocutors;
 
* techniques to overcome cultural bias in themselves and their interlocutors/opponents.
 
* What should a student be able to evaluate at the end of the course? By the
 
* end of the course, the students should be able to evaluate:
 
* level of cultural shock they experience (can experience) in different countries;
 
* their current cross-cultural competence and the way to improve it;
 
* non-verbal signs and symbols to help understand interlocutors from other cultures;
 
* cultural norms and values of interlocutors;
 
* cultural intentions of the parties during negotiations.
 
=== Course evaluation ===
 
{| class="wikitable"
 
|+ Course grade breakdown
 
|-
 
! type !! points
 
|-
 
| In-class work (including exercises) || 85
 
|-
 
| Exams || 15
 
|}
 
 
=== Grades range ===
 
{| class="wikitable"
 
|+ Course grading range
 
|-
 
! grade !! low !! high
 
|-
 
| A. Excellent || 90 || 100
 
|-
 
| B. Good || 80 || 89
 
|-
 
| C. Satisfactory || 70 || 79
 
|-
 
| D. Poor || 0 || 69
 
|}
 
=== Resources and reference material ===
 
== Course Sections ==
 
The main sections of the course and approximate hour distribution between them is as follows:
 

Revision as of 13:37, 24 March 2022

Analytical Geometry \& Linear Algebra -- II

  • Course name: Analytical Geometry \& Linear Algebra -- II
  • Course number: XYZ

Course Characteristics

Key concepts of the class

  • fundamental principles of linear algebra,
  • concepts of linear algebra objects and their representation in vector-matrix form

What is the purpose of this course?

This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines. Linear algebra is a branch of mathematics that studies systems of linear equations and the properties of matrices. The concepts of linear algebra are extremely useful in physics, data sciences, and robotics. Due to its broad range of applications, linear algebra is one of the most widely used subjects in mathematics.