Main Page     Information on the Institution     Degree Programs     General Information for Students     Türkçe  

 DEGREE PROGRAMS


 Associate's Degree (Short Cycle)


 Bachelor’s Degree (First Cycle)


 Master’s Degree (Second Cycle)

  Course Description
Course Name : Algebra IV

Course Code : MT 312

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 3

Course Semester : Spring (16 Weeks)

ECTS : 5

Name of Lecturer(s) : Assoc.Prof.Dr. AHMET TEMİZYÜREK

Learning Outcomes of the Course : Defines inner product spaces and gives example.
Is able to find the orthogonal basis of a finite dimensional vector space.
Defines the orthogonal complement of a subspace and solves examples.
Demonstrates that linear transformations of a vector space defines an algebra.
Defines the concepts of eigenvalues and eigenvectors of a linear transformation and shows that the set of eigenvectors is linearly independent .
Defines the minimal polynomial of a linear transformation and shows that each eigenvalues is a root of the minimal polynomial of linear transformation
Is able to determine whether a linear transformation is diagonalizable or not.
Defines the algebraic structure of a module and simply represents the properties.
Defines the concept of field extension and can construct algebraic extension.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : The aim of this course is to teach the inner product spaces and some properties of the algebra of linear transformations and introduce the concepts of Module and field.

Course Contents : Real inner product spaces, Complex inner product spaces, Algebra of linear transformations, fied extensions, Modules

Language of Instruction : Turkish

Work Place : Art and Science Faculty Annex Classrooms


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Inner product spaces and their properties Review of the relevant pages from sources Lecture and discussion
2 Gram-Schmidt orthogonalization methods Review of the relevant pages from sources Lecture and discussion
3 Complex inner product spaces Review of the relevant pages from sources Lecture and discussion
4 Algebra of linear mappings Review of the relevant pages from sources Lecture and discussion
5 Invertible and singular mappings Review of the relevant pages from sources Lecture and discussion
6 Matrices of linear mappings Review of the relevant pages from sources Lecture and discussion
7 Characteristic value and characteristic vectors Review of the relevant pages from sources Lecture and discussion
8 Mid-term exam Review the topics discussed in the lecture notes and sources Written exam
9 Diagonalizable and nondiagonalizable linear mappings Review of the relevant pages from sources Lecture and discussion
10 Definition of a module and its properties Review of the relevant pages from sources Lecture and discussion
11 Submodule and direct sum of modules Review of the relevant pages from sources Lecture and discussion
12 Homomorphisms of module Review of the relevant pages from sources Lecture and discussion
13 Field extensions Review of the relevant pages from sources Lecture and discussion
14 Simple extension Review of the relevant pages from sources Lecture and discussion
15 Degree of an extension Review of the relevant pages from sources Lecture and discussion
16/17 Final exam Review the topics discussed in the lecture notes and sources written exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  F. Başar, Lineer Cebir, ugurel printing house, 2002 ,Malatya
 R. Kaya, Lieer Cebir, Anadolu Üniversity press, Eskişehir.
Required Course Material(s)  P.B.Bhattachary, basic abstract algebra,Cambridge university press.
  R. Kunze, Linear algebra, Prentice-Hall Inc. New Jersey.


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 100
    Homeworks/Projects/Others 0 0
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Is able to prove Mathematical facts encountered in secondary school. 1
2 Recognizes the importance of basic notions in Algebra, Analysis and Topology 4
3 Develops maturity of mathematical reasoning and writes and develops mathematical proofs. 4
4 Is able to express basic theories of mathematics properly and correctly both written and verbally 5
5 Recognizes the relationship between different areas of Mathematics and ties between Mathematics and other disciplines. 0
6 Expresses clearly the relationship between objects while constructing a model 2
7 Draws mathematical models such as formulas, graphs and tables and explains them 4
8 Is able to mathematically reorganize, analyze and model problems encountered. 2
9 Knows at least one computer programming language 0
10 Uses effective scientific methods and appropriate technologies to solve problems 0
11 Knows programming techniques and is able to write a computer program 0
12 Is able to do mathematics both individually and in a group. 0
13 Has sufficient knowledge of foreign language to be able to understand Mathematical concepts and communicate with other mathematicians 0
14 In addition to professional skills, the student improves his/her skills in other areas of his/her choice such as in scientific, cultural, artistic and social fields 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
    Homeworks, Projects, Others 0 0 0
    Mid-term Exams (Written, Oral, etc.) 1 10 10
    Final Exam 1 20 20
Total Workload: 128
Total Workload / 25 (h): 5.12
ECTS Credit: 5