| Course Type | Compulsory Course |
| Course Level | Bachelor's Degree |
| Year of Study | 1 |
| Semester | First Term (Fall) |
| ECTS | 6 |
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Know basic concepts such as function, equation, inequality, interest calculation, probability and statistics.
- Apply these concepts to daily life problems and their own academic fields.
- Realize the importance and usefulness of mathematics.
- Gain the ability to understand and use the language of mathematics.
- Gain the ability to analyze and solve the problems they encounter through mathematical thinking, interpret and apply the solutions found.
|
| Mode of Delivery | Face to face |
| Prerequisites | No |
| Recommended Optional Programme Components | There is no recommended optional programme component for this course. |
| Course Description | The course covers real numbers, exponential and radical expressions, equations, inequalities, functions and graphs, line, parabola, systems of linear equations, exponential and logarithmic functions, matrices, determinants, linear programming, simplex method, minimize and maximize, mathematics of finance. |
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Sets, Real numbers, Absolute value |
|
2nd Week |
Number line, Intervals, Cartesian coordinates in the plane, Distance between two points |
|
3rd Week |
Function concept, domain and range, types |
|
4th Week |
Coordinate system, graphing lines and parabolas |
|
5th Week |
First-degree inequalities and their solutions |
|
6th Week |
Second-degree inequalities and their solutions, Linear Equation Systems (elimination method, substitution method) |
|
7th Week |
Midterm exam week |
|
8th Week |
Applications of linear functions |
|
9th Week |
Systems of linear equations, definition of matrices and determinants |
|
10th Week |
Determinant calculation (Sarrus method, Cofactor method), solving systems of linear equations using Cramer's method |
|
11th Week |
Solving systems of linear inequalities |
|
12th Week |
Linear programming, linear programming problems with two unknowns |
|
13th Week |
Exponential and logarithmic functions |
|
14th Week |
Interest Calculations |
|
| Recommended or Required Reading | 1. Temel Matematiksel Analiz(İşletme, İktisat, Yaşam Bilimleri ve Sosyal Bilimler için) Ernest F. Haeussler Jr., Richard S. Paul, Richard Wood Onbirinci Baskı Çevirenler. Serdar Demir, Özcan Uzun, Andım Oben Balce, Atalay Çağlar
2. Ders Notları
|
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
40 |
| Total(%) |
|
40 |
| Contribution of In-term Studies to Overall Grade(%) |
|
40 |
| Contribution of Final Examination to Overall Grade(%) |
|
60 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
1 |
1 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
2 |
28 |
| Preparation for Final exam |
1 |
55 |
55 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
55 |
55 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
1.15 |
1.15 |
| Homework |
|
|
|
| Total Work Load | 182.15 |
| Total Work Load / 30 (h) | 6.07 |
| ECTS Credit of the Course | 6 |
|
| Language of Instruction | Turkish |
| Work Placement(s) | No |