- Course Code
- ECO144
- Semester
- Second Term (Spring)
- Theory+Practice
- 4 + 0
- ECTS
- 7
| Course Type | Compulsory Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | 1 |
|---|
| Semester | Second Term (Spring) |
|---|
| ECTS | 7 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Know the basic mathematical concepts such as function, limit, derivative and integral
- Apply mathematical knowledge to business and economic problems
- Understand and use the language of mathematics.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | No |
|---|
| Course Description | Definite, and indefinite integrals, matrices, determinants, systems of linear equations; functions of several variables: limit, differentiation and chain rule, gradient vector, tangent plane, extreme-value problems, the method of Langrange multipliers; double integrals. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Indefinite integral |
|
2nd Week |
Techniques of integration |
|
3rd Week |
Definite integral, area between curves |
|
4th Week |
Systems of linear equations, elimination method |
|
5th Week |
Matrices |
|
6th Week |
Matrix operation |
|
7th Week |
Midterm |
|
8th Week |
Method of reduction, inverse matrix, determinant |
|
9th Week |
Cramer rule, Gaussian elimination method |
|
10th Week |
Linear programming |
|
11th Week |
Functions of several variables, partial derivatives |
|
12th Week |
Chain rule, implicit differentiation |
|
13th Week |
Classification of critical points, extreme values |
|
14th Week |
Constrained extremum problems, lagrange multipliers |
|
| Recommended or Required Reading | 1) Introductory Mathmematical Analysis for Business, Economics and Life and Sociel Sciences, Ernest F. Haeussler, Richard S. Paul and Richard J. Wood
2) Calculus, Robert A. Adams. |
|---|
| Planned Learning Activities and Teaching Methods |
- Questions/Answers
- Discussion
- Lecture
|
|---|
| 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 |
2 |
2 |
| Preparation for Quiz |
1 |
2 |
2 |
| Individual or group work |
14 |
4 |
56 |
| Preparation for Final exam |
1 |
50 |
50 |
| Course hours |
14 |
4 |
56 |
| Preparation for Midterm exam |
1 |
40 |
40 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
3 |
3 |
| Homework |
1 |
0.25 |
0.25 |
| Total Work Load | 209.25 |
| Total Work Load / 30 (h) | 6.97 |
| ECTS Credit of the Course | 7 |
|
| Language of Instruction | English |
|---|
| Work Placement(s) | No |
|---|
Programme Qualifications / Learning Outcomes
|
LO1 |
LO2 |
LO3 |
| K1 |
|
|
|
| K2 |
|
|
|
| K3 |
|
|
|
| K4 |
|
|
|
| K5 |
|
X |
|
| K6 |
|
|
|
| K7 |
X |
X |
X |
| K8 |
|
|
|
| K9 |
|
|
|
| K10 |
|
|
|
| K11 |
|
|
|
| K12 |
|
|
|
| K13 |
|
|
|
