Calculus I and Linear algebra

FACULTY

ENGINEERING

DEPARTMENT

CHEMICAL ENGINEERING

LEVEL OF STUDY

UNDERGRADUATE

SEMESTER OF STUDY

1o

COURSE TITLE

Calculus I and Linear algebra
COURSEWORK BREAKDOWNTEACHING WEEKLY HOURSECTS Credits
Lectures3
Laboratory0
Projects1

TOTAL

5
COURSE TYPE Compulsory
PREREQUISITES -
LANGUAGE OF INSTRUCTION/EXAMSGreek
COURSE DELIVERED TO ERASMUS STUDENTS-

MODULE WEB PAGE (URL)

https://eclass.uowm.gr/


2. LEARNING OUTCOMES

Learning Outcomes

Upon successful completion of the course, students will be able to solve problems that involve Plane analytical geometry, Complex numbers, Algebra of matrices, Systems of linear equations, Vector spaces, Linear representations, Inverse trigonometric and hyperbolic functions, Indefinites integrals, Integration techniques, etc.


General Skills

The student will become familiar with all the mathematical processes that refer to the optimization of scientific processes and situations. Such a high-level course fosters creative and inductive thinking and becomes an essential tool for scientific completion.
Other skills
Search, analyze and synthesize data and information, using the necessary technologies
Decision making
Critical Thinking
Autonomous work
Teamwork


3. COURSE CONTENTS

1. Plane Analytical geometry
i) Lines in the plane,
ii) Locus, Straight line, Quadratic curves (conic sections): Parabolas, Ellipses, Hyperbolas
iii) Polar coordinates

2. Complex numbers
i) Definition of Complex, Image, Vector Radius, Measure and Argument of Complex, Conjugate of Complex, Properties of Conjugate and Measure, Properties of Argument
ii) Sum, Difference, Product and Quotient of complex numbers
iii) Powers of imaginary unit i, Quadratic complex equation
iv) Complex locus

3. Tables
i) The concept of matrix, Definition, Degree of matrix
ii) Matrix Operations, Addition, Subtraction, Multiplication, Properties
iii) Matrix Types, Zero, Square, Symmetric, Antisymmetric, Inverse, Unit, Diagonal, Upper and Lower Triangular
iv) Determinant, Dimension and expansion of determinant, Properties, Triangulation of determinant
v) Inverse square matrix, Inverse
vi) Matrices and linear systems, Cramers rule, Gausss method

4. Vector spaces - Linear representations
i) The concept of real vector space, Linear dependence, Basis and dimension of vector space
ii) Linear mappings in a vector space, Linear mapping matrix
iii) Eigenvalues and eigenvectors

5. Inverse trigonometric and hyperbolic functions
i) Definition of real function, 1-1 (one to one) function, Definition of inverse function, Basic Identities
ii) Inverse trigonometric and hyperbolic functions
(may be requested in combined exercises)

6. Indefinite integral
i) Definition, Basic concepts, Original function or factor, Properties
ii) Indefinite integral of trigonometric, hyperbolic, inverse trigonometric and inverse hyperbolic functions
iii) Methods of integration: method of substitution with application to composite functions, method of factorial integration, calculation of the integral of an explicit function


4. TEACHING METHODS – ASSESSMENT

MODE OF DELIVERY
Lectures (Face to face), Tutorial Exercises
USE OF INFORMATION AND COMMUNICATION TECHNOLOGY
Projectors, computers, e-class, lectures using power point, computing tools

TEACHING METHODS
Method descriptionSemester Workload
Lectures80
Tutorial Exercises20
Independent Study25
Exams25
Course Total
ASSESSMENT METHODS Written final exam,
Optional midterm exam.


5. RESOURCES

Suggested bibliography :

1. Calculus of Functions of One Variable and Linear Algebra, 2nd Edition, Mylonas Nikolaos, Schoinas Christos, Papaschoinopoulos G.

2. Analysis and Linear Algebra Courses, Kravbaritis D.

Related academic journals: