Multi-semester discipline Introduction to Higher Mathematics. Part 1.

Course: «Applied (computer) Linguistics and English language»

Structural unit: Educational and Scientific Institute of Philology

Title
Multi-semester discipline Introduction to Higher Mathematics. Part 1.
Code
ННД. 11.01
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
4
Learning outcomes
PLO 3. To organize the process of learning and self-education. PLO 18. To have skills for managing projects and solving complicated issues in professional activity in the field of computational linguistics and be responsible for making decisions under unpredictable circumstances. PLO 22. To know the basic Mathematics conceptions and terminology and Mathematic methods and use them to solve specialized tasks of computational linguistics.
Form of study
Full-time form
Prerequisites and co-requisites
Knowledge of the school curriculum in mathematics.
Course content
The aim of the course is to introduce the basic concepts of linear algebra and calculus in such depth that is necessary to further study calculus and work with certain kinds of computational linguistics techniques. The topics include the basics of set theory, mathematical induction, finite-dimensional spaces, matrices, determinants, linear systems, eigenvalues and eigenvectors, elementary functions, sequences, the limit of a function, and continuous functions.
Recommended or required reading and other learning resources/tools
1. Khan Academy, Math, Algebra, Matrices. – URL: https://www.khanacademy.org/math/algebra-home/alg-matrices. 2. Cliffs Notes, Linear Algebra. – URL: https://www.cliffsnotes.com/study-guides/algebra/linear-algebra. 3. Mathportal, Math Lessons, Linear Algebra. – URL: https://www.mathportal.org/mathlessons.php.
Planned learning activities and teaching methods
Lectures, practical classes, independent work.
Assessment methods and criteria
Oral answer - Topic No. 1: LO 1.1; LO 1.2; LO 2.1; LO 2.2; LO 3.1 – 10 points. Test - Topic No. 1: LO 1.1; LO 1.2; LO 2.1; LO 2.2; LO 3.2 – 40 points. Oral answer - Topic No. 2: LO 1.1; LO 1.3; LO 2.2; LO 3.1 – 10 points. Test - Topic No. 2: LO 1.1; LO 1.3; LO 2.2; LO 3.2 – 40 points
Language of instruction
Ukrainіаn

Lecturers

This discipline is taught by the following teachers

Computational Mathematics
Faculty of Computer Science and Cybernetics

Departments

The following departments are involved in teaching the above discipline

Computational Mathematics
Faculty of Computer Science and Cybernetics