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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
MATHEMATICS for SOCIAL SCIENCES-Spring Semester3+034
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Sertaç ERMAN
Name of Lecturer(s)Assist.Prof. Yasemin BAKIR
Assistant(s)
AimTo provide students with the necessary qualifications and infrastructure to solve real-life mathematical problems.
Course ContentThis course contains; Numbers and Properties,Linear and quadratic equations,Inequalities,Linear Programming, Sum Symbol,Function and Graphs : Definition of function; Value of function at point; Constant, polynomial, and absolute value functions,Function and Graphs: Component function; Inverse function,Function and Graphs: Exponential and logarithmic functions,Function and Graphs: Function graphs in perpendicular coordinate system; Symmetry,
translations and reflections,Probability,Conditional Probability,Independent Events,Bayes Formula,Expected value,Binomial Distribution.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. will be able to do algebraic operations with numbers.
2. will be able to express the problems related to the field in the form of equations and inequalities
3.1 Examples of equations and inequalities
3.2 explains the logic of equation and inequality.
3.3 Explain the root of the equation
3.4 Finds the root of the equation
3.5 Explains the solution range of inequality
3.6 Finds the solution interval of the inequality
4. Will be able to analyze functions
4.1 Recognizes different types of functions.
4.2 Calculates the value of the function at a point.
4.3 Draws graphs of functions
4.4 Find the value of the function at a point using the graph of the function
4.5 Uses natural logarithm function to solve equations
4.6 Translates and reflects on functions
5. will be able to establish systems of equations of facts related to the field
5.1 explains systems of equations.
5.2 Solves systems of linear equations
6. Will be able to explain the concept of probability
Teaching Methods:
Assessment Methods:

Course Outline

OrderSubjectsPreliminary Work
1Numbers and Properties
2Linear and quadratic equations
3Inequalities
4Linear Programming, Sum Symbol
5Function and Graphs : Definition of function; Value of function at point; Constant, polynomial, and absolute value functions
6Function and Graphs: Component function; Inverse function
7Function and Graphs: Exponential and logarithmic functions
8Function and Graphs: Function graphs in perpendicular coordinate system; Symmetry,
translations and reflections
9Probability
10Conditional Probability
11Independent Events
12Bayes Formula
13Expected value
14Binomial Distribution
Resources
Bülent Kobu ; İşletme Matematiği Alpha, Chiang, Matematiksel İktisadın Temel Yöntemleri.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Knows the basic concepts of research and application-oriented sub-fields of psychology and the basic theories of these fields.
2
Can compare theories and schools in the history of psychology, and relate new developments with this knowledge.
3
Can recognize and interpret the problems they encounter and offer solutions using their expert knowledge.
4
Can investigate a problem with scientific methods, interpret findings and turn the results into a scientific publication.
5
Can lead the project, plan and manage the activities in a team established to solve the problems related to their field.
6
Can question and criticize new ideas from a scientific point of view without taking sides.
7
They adopt the principle of lifelong learning and can follow new developments in their field.
8
Can share their findings, knowledge and solution suggestions about a problem with colleagues or people outside of their field in written or oral form, in an appropriate language.
9
They have a sense of social responsibility and can use their professional achievements in solving problems in their near and far surroundings.
10
Speaks English at least at B1 level to follow international professional developments.
11
Has basic computer skills and can communicate with colleagues on up-to-date platforms.
12
Knows the basic tools of psychology used in assessment and evaluation and can use these tools.
13
Knows professional responsibilities, authorization, and limits, recognizes psychological problems, can make the right referral for their solution, and abides by ethical principles in research and practice.
14
They consider individual and cultural differences in research and practice and take these differences into account while evaluating the research results.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours000
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report000
Term Project000
Presentation of Project / Seminar000
Quiz000
Midterm Exam000
General Exam000
Performance Task, Maintenance Plan000
Total Workload(Hour)0
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(0/30)0
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
MATHEMATICS for SOCIAL SCIENCES-Spring Semester3+034
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Sertaç ERMAN
Name of Lecturer(s)Assist.Prof. Yasemin BAKIR
Assistant(s)
AimTo provide students with the necessary qualifications and infrastructure to solve real-life mathematical problems.
Course ContentThis course contains; Numbers and Properties,Linear and quadratic equations,Inequalities,Linear Programming, Sum Symbol,Function and Graphs : Definition of function; Value of function at point; Constant, polynomial, and absolute value functions,Function and Graphs: Component function; Inverse function,Function and Graphs: Exponential and logarithmic functions,Function and Graphs: Function graphs in perpendicular coordinate system; Symmetry,
translations and reflections,Probability,Conditional Probability,Independent Events,Bayes Formula,Expected value,Binomial Distribution.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. will be able to do algebraic operations with numbers.
2. will be able to express the problems related to the field in the form of equations and inequalities
3.1 Examples of equations and inequalities
3.2 explains the logic of equation and inequality.
3.3 Explain the root of the equation
3.4 Finds the root of the equation
3.5 Explains the solution range of inequality
3.6 Finds the solution interval of the inequality
4. Will be able to analyze functions
4.1 Recognizes different types of functions.
4.2 Calculates the value of the function at a point.
4.3 Draws graphs of functions
4.4 Find the value of the function at a point using the graph of the function
4.5 Uses natural logarithm function to solve equations
4.6 Translates and reflects on functions
5. will be able to establish systems of equations of facts related to the field
5.1 explains systems of equations.
5.2 Solves systems of linear equations
6. Will be able to explain the concept of probability
Teaching Methods:
Assessment Methods:

Course Outline

OrderSubjectsPreliminary Work
1Numbers and Properties
2Linear and quadratic equations
3Inequalities
4Linear Programming, Sum Symbol
5Function and Graphs : Definition of function; Value of function at point; Constant, polynomial, and absolute value functions
6Function and Graphs: Component function; Inverse function
7Function and Graphs: Exponential and logarithmic functions
8Function and Graphs: Function graphs in perpendicular coordinate system; Symmetry,
translations and reflections
9Probability
10Conditional Probability
11Independent Events
12Bayes Formula
13Expected value
14Binomial Distribution
Resources
Bülent Kobu ; İşletme Matematiği Alpha, Chiang, Matematiksel İktisadın Temel Yöntemleri.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Knows the basic concepts of research and application-oriented sub-fields of psychology and the basic theories of these fields.
2
Can compare theories and schools in the history of psychology, and relate new developments with this knowledge.
3
Can recognize and interpret the problems they encounter and offer solutions using their expert knowledge.
4
Can investigate a problem with scientific methods, interpret findings and turn the results into a scientific publication.
5
Can lead the project, plan and manage the activities in a team established to solve the problems related to their field.
6
Can question and criticize new ideas from a scientific point of view without taking sides.
7
They adopt the principle of lifelong learning and can follow new developments in their field.
8
Can share their findings, knowledge and solution suggestions about a problem with colleagues or people outside of their field in written or oral form, in an appropriate language.
9
They have a sense of social responsibility and can use their professional achievements in solving problems in their near and far surroundings.
10
Speaks English at least at B1 level to follow international professional developments.
11
Has basic computer skills and can communicate with colleagues on up-to-date platforms.
12
Knows the basic tools of psychology used in assessment and evaluation and can use these tools.
13
Knows professional responsibilities, authorization, and limits, recognizes psychological problems, can make the right referral for their solution, and abides by ethical principles in research and practice.
14
They consider individual and cultural differences in research and practice and take these differences into account while evaluating the research results.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 05/10/2023 - 15:10Son Güncelleme Tarihi: 05/10/2023 - 15:15