Basic Logic and Algebra (MATH111) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Basic Logic and Algebra MATH111 1. Semester 3 0 0 3 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type Compulsory Departmental Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives To provide an introduction to logic, number theory and groups, rings and fields through examples. Moreover to encourage the students to investigate proofs of some algebraic expressions and theorems.
Course Learning Outcomes The students who succeeded in this course;
  • write a statement using logical expressions, evaluate logical expressions and perform the basic operations on sets,
  • prove some mathematical statements and theorems,
  • determine whether a relation is an equivalence relation or not,
  • understand and use divisibility and the Euclidean Algorithm,
  • know elementary definitions and examples in groups, rings, and fields.
Course Content Logic, sets, induction, relations, functions, elementary number theory, elementary examples of groups, rings and fields, the real numbers. 

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Logical Form and Logical Equivalence, Truth Tables, Conditional Statements, pp. 1-17
2 Valid and Invalid Arguments, Rules of Inferences, pp. 17-43
3 Introduction to Predicates and Quantified Statements pp. 75-97
4 Methods of Proofs (Direct Proof and Counter Example I/II/III: Introduction/ Rational Numbers/Divisibility) pp. 133,145,151, pp. 175-177,181
5 Elemantary Number Theory: Unique Factorization Theorem, Division into Cases s. 153,157
6 Elemantary Number Theory: The Quotient-Remainder Theorem,The Euclidean Algorithm pp. 162,192
7 Mathematical Induction pp. 217,220,229
8 Sets, Subsets, Set Operations, Power sets pp. 255 ,265, pp. 272,273,277
9 Relations on sets pp. 571-578,584, 585
10 Equivalence Classes p. 597,599
11 Functions Defined on a General Set pp. 389-402
12 One-to-One, Onto and Inverse Functions, Compositions of Functions pp. 403,408,407, pp. 415,432
13 Real Numbers, Binary Operations
14 Definitions and Elementary Examples of Groups, Rings and Fields
15 Review
16 Final Exam

Sources

Course Book 1. Epp, Susanna S., Discrete Mathematics with Applications, 2nd Edition, Pacific Grove, CA, Brooks/Cole, 1995
Other Sources 2. Chapter Zero, Schumacher,C., Fundamental Notions of Abstract Mathematics, 2nd Edition, Addison-Wesley, 2001

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 5 6
Homework Assignments 7 7
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 52
Final Exam/Final Jury 1 35
Toplam 15 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. X
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. X
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills. X
4 Acquires analytical thinking and uses time effectively in the process of deduction X
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. X
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes. X
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning. X
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team. X
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. X
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data. X
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 4 56
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 4 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 8 16
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 150